1 00:00:01,000 --> 00:00:04,760 Speaker 1: Hi, Perry, Hi, eamily, Are you excited to talk about 2 00:00:04,760 --> 00:00:07,640 Speaker 1: hormone replacement therapy? I just want to tell the listeners 3 00:00:07,640 --> 00:00:11,240 Speaker 1: that Perry was extremely reluctant to discuss hormone replacement therapy. 4 00:00:12,280 --> 00:00:16,160 Speaker 1: Isn't that right that you preferred maybe hair loss, things 5 00:00:16,200 --> 00:00:18,800 Speaker 1: about hair loss, and no other man topics. 6 00:00:19,000 --> 00:00:22,520 Speaker 2: It's not for the reason you thought when you pitched 7 00:00:22,800 --> 00:00:27,400 Speaker 2: hormone replacement therapy. I think I said something like, oh, brother, 8 00:00:29,840 --> 00:00:35,040 Speaker 2: and you assumed, incorrectly, incorrectly, incorrectly, that I was being 9 00:00:35,080 --> 00:00:37,279 Speaker 2: a man, and I was like, oh, lady stuff, and 10 00:00:37,320 --> 00:00:42,000 Speaker 2: that's not true. I said, oh, brother, because it's really 11 00:00:42,080 --> 00:00:44,280 Speaker 2: really complicated, and I know it's going to take a 12 00:00:44,320 --> 00:00:45,519 Speaker 2: ton of research to get it right. 13 00:00:46,040 --> 00:00:48,479 Speaker 1: I'm very excited, But also I wanted to mention, do 14 00:00:48,560 --> 00:00:50,239 Speaker 1: you know about manopause? 15 00:00:51,159 --> 00:00:54,760 Speaker 2: I have heard the term of manopause, and I think 16 00:00:54,800 --> 00:00:59,840 Speaker 2: it's I think it's really good that we're finally recognizing 17 00:01:01,240 --> 00:01:04,839 Speaker 2: men changes in men's life that are clearly just as 18 00:01:05,280 --> 00:01:09,120 Speaker 2: severe and disruptive as anything that could possibly happen to 19 00:01:09,160 --> 00:01:11,520 Speaker 2: a woman. And I say that as a man and 20 00:01:11,600 --> 00:01:12,880 Speaker 2: as a father of a man. 21 00:01:13,000 --> 00:01:15,840 Speaker 3: I think you may be in manopause you'll have to actually. 22 00:01:15,600 --> 00:01:17,679 Speaker 2: Tell me what manopause is, and then I'll. 23 00:01:17,360 --> 00:01:20,200 Speaker 1: Tell it's when you gradually decay between the ages of 24 00:01:20,240 --> 00:01:21,000 Speaker 1: forty and fifty. 25 00:01:21,640 --> 00:01:22,840 Speaker 3: Are you gradually decaying? 26 00:01:23,200 --> 00:01:24,600 Speaker 2: I mean more or less? 27 00:01:24,959 --> 00:01:28,280 Speaker 1: I believe it begins with the rotator, cuff at rotator, 28 00:01:28,360 --> 00:01:33,240 Speaker 1: and then it's all downhill from there. I'm Emily Aster, 29 00:01:33,640 --> 00:01:35,480 Speaker 1: I'm an economist and a data expert. 30 00:01:35,600 --> 00:01:37,679 Speaker 2: And I'm Perry Wilson, I'm a medical doctor. 31 00:01:38,160 --> 00:01:41,280 Speaker 1: It's Thursday, April twenty third, twenty twenty six, and this 32 00:01:41,319 --> 00:01:43,360 Speaker 1: is wellness actually. 33 00:01:43,319 --> 00:01:46,800 Speaker 2: Because you're getting a staggering amount of health and wellness 34 00:01:46,840 --> 00:01:50,680 Speaker 2: information nowadays from every source imaginable, and some of it 35 00:01:50,720 --> 00:01:51,640 Speaker 2: is awesome. 36 00:01:51,560 --> 00:01:57,040 Speaker 1: And some of it is well actually both. Fortunately, we're 37 00:01:57,080 --> 00:01:59,640 Speaker 1: both people who know how to read studies, how to 38 00:01:59,680 --> 00:02:02,600 Speaker 1: parse data, and can tell you what's worth thinking about 39 00:02:02,760 --> 00:02:04,520 Speaker 1: and what you can safely ignore. 40 00:02:04,840 --> 00:02:07,120 Speaker 2: But before we dig in, a note that this podcast 41 00:02:07,200 --> 00:02:09,760 Speaker 2: is for educational purposes and should not be construed as 42 00:02:09,800 --> 00:02:13,000 Speaker 2: medical advice. We don't know your unique situation, so talk 43 00:02:13,040 --> 00:02:14,880 Speaker 2: to your doctor for personal health decisions. 44 00:02:15,800 --> 00:02:19,600 Speaker 1: This week we're asking what's the deal with hormone replacement therapy? 45 00:02:19,919 --> 00:02:20,960 Speaker 3: And this is a two Parter. 46 00:02:21,280 --> 00:02:24,600 Speaker 1: Next week we'll talk about testosterone, Perry and I will 47 00:02:24,600 --> 00:02:26,760 Speaker 1: give the official smasher pass, and then we'll get to 48 00:02:26,800 --> 00:02:29,360 Speaker 1: your question of the week. But first, let's do the 49 00:02:29,360 --> 00:02:44,600 Speaker 1: health news roundup after the break, and now for the 50 00:02:44,600 --> 00:02:48,160 Speaker 1: health news of the week, Perry, there is a new 51 00:02:48,480 --> 00:02:51,160 Speaker 1: kind of diabetes, as if we didn't have enough with 52 00:02:51,280 --> 00:02:52,320 Speaker 1: the first two kinds. 53 00:02:52,800 --> 00:02:56,080 Speaker 3: It is called type five diabetes. 54 00:02:56,440 --> 00:02:59,440 Speaker 1: This has been recognized for many years, but it is 55 00:02:59,520 --> 00:03:06,519 Speaker 1: now official diagnosis. So tell me what is type five diabetes? 56 00:03:06,560 --> 00:03:08,760 Speaker 1: And what happened to three and four? 57 00:03:09,720 --> 00:03:13,200 Speaker 2: Yeah? This is this is fascinating. The International Diabetes Federation 58 00:03:13,680 --> 00:03:17,640 Speaker 2: has officially recognized type five diabetes. After some period of time, 59 00:03:18,560 --> 00:03:21,280 Speaker 2: I think people listening will know about type one diabetes, 60 00:03:21,320 --> 00:03:25,520 Speaker 2: which is a childhood onset form usually an autoimmune disorder. 61 00:03:25,919 --> 00:03:30,080 Speaker 2: Type two diabetes, which is the syndrome of insulin resistance 62 00:03:30,160 --> 00:03:33,240 Speaker 2: that's associated with overweight and obesity. That's so prevalent in 63 00:03:33,240 --> 00:03:36,760 Speaker 2: the United States. Type three diabetes does exist. There's like 64 00:03:37,320 --> 00:03:43,920 Speaker 2: various subsets, but one is caused by damage to the pancreas, 65 00:03:43,960 --> 00:03:48,040 Speaker 2: like like trauma to the pancreas or severe pancreatitis. For example. 66 00:03:49,280 --> 00:03:53,880 Speaker 2: Type four is a very rare form of diabetes recognized 67 00:03:53,880 --> 00:03:57,440 Speaker 2: as insulin resistance in lean older adults, so it's sort 68 00:03:57,440 --> 00:04:00,160 Speaker 2: of an aging related form of diabetes. And then we 69 00:04:00,200 --> 00:04:02,560 Speaker 2: have type five, which is really interesting and very different. 70 00:04:02,880 --> 00:04:07,120 Speaker 2: It's caused by severe malnutrition and actually protein malnutrition. We 71 00:04:07,200 --> 00:04:11,080 Speaker 2: just did the protein episode. So this is quite common, 72 00:04:11,160 --> 00:04:15,720 Speaker 2: but not in the developed world. So there are probably 73 00:04:15,760 --> 00:04:19,440 Speaker 2: ten to twenty million people in sub Saharan Africa who 74 00:04:19,480 --> 00:04:23,600 Speaker 2: are suffering from type five diabetes. Scientists are still trying 75 00:04:23,600 --> 00:04:28,239 Speaker 2: to understand the exact causes and treatments of this because 76 00:04:28,279 --> 00:04:31,560 Speaker 2: it does seem like it is not purely due to 77 00:04:32,720 --> 00:04:37,360 Speaker 2: issues with insulin sensitivity, and it is driven by protein malnutrition, 78 00:04:37,480 --> 00:04:39,960 Speaker 2: so these are people who are getting enough carbohydrate, enough fat, 79 00:04:39,960 --> 00:04:42,680 Speaker 2: but not those essential proteins. It can affect the pancreas. 80 00:04:43,880 --> 00:04:46,200 Speaker 3: That is extremely interesting. Okay, but this is rare. 81 00:04:46,400 --> 00:04:49,680 Speaker 1: This is much rareer than either type one, certainly than 82 00:04:49,720 --> 00:04:51,720 Speaker 1: type two, but even then type one. 83 00:04:52,560 --> 00:04:55,279 Speaker 2: It is certainly rare in the United States. But you know, 84 00:04:55,360 --> 00:04:58,360 Speaker 2: twenty five million people around the world probably suffer from this, 85 00:04:58,960 --> 00:05:00,839 Speaker 2: and so it's good that we're drying some attention to it, 86 00:05:00,880 --> 00:05:05,000 Speaker 2: hopefully get some research in that area, speaking of research 87 00:05:05,600 --> 00:05:08,760 Speaker 2: that might start to happen now, NPR and multiple news 88 00:05:08,760 --> 00:05:15,599 Speaker 2: outlets have reported that some psychedelics, including psilocybin and iyebo gain, 89 00:05:16,120 --> 00:05:21,600 Speaker 2: may be reclassified by the Trump administration and make them 90 00:05:21,600 --> 00:05:26,760 Speaker 2: eligible to get an expedited FDA review for mental health conditions. 91 00:05:27,160 --> 00:05:28,839 Speaker 2: Emill you and I have talked about I think it's 92 00:05:28,880 --> 00:05:33,000 Speaker 2: on our show, our upcoming show list actually talking about psychedelics. 93 00:05:33,040 --> 00:05:35,440 Speaker 2: So what do you think about this news that it's 94 00:05:35,480 --> 00:05:36,680 Speaker 2: going to be easier to study them. 95 00:05:37,279 --> 00:05:40,920 Speaker 1: I mean, broadly, I would say I'm supportive of this. 96 00:05:41,200 --> 00:05:42,800 Speaker 1: You know, there was a period of time in the 97 00:05:42,839 --> 00:05:46,160 Speaker 1: nineteen sixties when psychedelics were something people thought, we're going 98 00:05:46,200 --> 00:05:48,360 Speaker 1: to be so great, and then they started using them 99 00:05:48,400 --> 00:05:51,760 Speaker 1: more recreationally and it became, you know, something that we 100 00:05:51,760 --> 00:05:54,600 Speaker 1: weren't thinking about as medical treatments. 101 00:05:54,640 --> 00:05:57,560 Speaker 3: But actually seems like in the. 102 00:05:57,480 --> 00:06:01,359 Speaker 1: Last you know, decade or so, there's been a lot 103 00:06:01,480 --> 00:06:08,640 Speaker 1: more evidence that used appropriately, psychedelics can actually be quite 104 00:06:08,720 --> 00:06:13,839 Speaker 1: effective at treating some pretty refractory conditions like pete severe PTSD. 105 00:06:13,960 --> 00:06:16,680 Speaker 3: There was actually a really interesting episode of. 106 00:06:16,600 --> 00:06:19,279 Speaker 1: The Daily which I realized is not research, with the 107 00:06:19,360 --> 00:06:23,760 Speaker 1: reporter sort of talking about his experience doing a sort 108 00:06:23,800 --> 00:06:27,720 Speaker 1: of particular psychedelic in Mexico as a treatment for kind 109 00:06:27,760 --> 00:06:29,679 Speaker 1: of long standing trauma issues. 110 00:06:30,480 --> 00:06:32,320 Speaker 3: So I mean this feels to me like I always 111 00:06:32,320 --> 00:06:33,040 Speaker 3: like more research. 112 00:06:33,040 --> 00:06:35,360 Speaker 1: It does feel like an area that's probably under research 113 00:06:35,440 --> 00:06:39,600 Speaker 1: for reasons that are you know, understandable, but maybe we 114 00:06:39,640 --> 00:06:41,840 Speaker 1: should try to get past. I will say, of course, 115 00:06:42,040 --> 00:06:44,760 Speaker 1: for many people, they're going to read some of these articles. 116 00:06:45,680 --> 00:06:48,760 Speaker 1: Trump made an announcement about this, and Joe Rogan said he 117 00:06:48,880 --> 00:06:51,960 Speaker 1: texted Trump about I Begain, which is one of these psychedelics, 118 00:06:51,960 --> 00:06:54,080 Speaker 1: and the President responded, sounds great. 119 00:06:54,480 --> 00:06:56,440 Speaker 3: Do you want FDA approval. 120 00:06:56,200 --> 00:06:59,080 Speaker 1: Let's do it, which of course is not like it's 121 00:06:59,120 --> 00:07:00,680 Speaker 1: going to cause some people to be like come on, 122 00:07:00,880 --> 00:07:03,360 Speaker 1: but I actually think we should be researching these. 123 00:07:03,400 --> 00:07:06,240 Speaker 3: Maybe we don't text FDA approval. 124 00:07:06,640 --> 00:07:11,200 Speaker 2: Yeah. The categorization of dangerous substances you've heard, like category one, 125 00:07:11,240 --> 00:07:15,800 Speaker 2: category two, does have implications for research. It does make 126 00:07:15,840 --> 00:07:19,000 Speaker 2: it much harder to run a placebo controlled trial, like 127 00:07:19,040 --> 00:07:21,600 Speaker 2: in a university like mine, if you're testing something that's 128 00:07:21,600 --> 00:07:24,440 Speaker 2: category one or category two. So moving these into category 129 00:07:24,440 --> 00:07:26,480 Speaker 2: three does just kind of open that door. But you're right, 130 00:07:26,480 --> 00:07:28,960 Speaker 2: it should follow the pathway like let's find out if 131 00:07:28,960 --> 00:07:31,120 Speaker 2: these things work. If they work, that's great, and we 132 00:07:31,120 --> 00:07:32,680 Speaker 2: should learn how to give them safely. 133 00:07:32,960 --> 00:07:34,480 Speaker 3: We'll see, all right. 134 00:07:34,560 --> 00:07:37,440 Speaker 1: Speaking of political questions, there is a new nominee for 135 00:07:37,520 --> 00:07:40,160 Speaker 1: CDC director. This has proven to be an extremely difficult 136 00:07:40,240 --> 00:07:43,760 Speaker 1: job to fill. People keep getting in and then getting fired. 137 00:07:44,400 --> 00:07:48,680 Speaker 1: This new person the quote I saw on CNN was 138 00:07:49,080 --> 00:07:51,760 Speaker 1: we just need someone who is not crazy. 139 00:07:52,440 --> 00:07:55,040 Speaker 3: So what do you think about the nominee? 140 00:07:55,800 --> 00:08:01,280 Speaker 2: So this is Erica Schwartz, who is very much a 141 00:08:01,760 --> 00:08:06,720 Speaker 2: straight down the middle nominee for for the director of 142 00:08:06,760 --> 00:08:11,360 Speaker 2: the CDC. She is a physician. She's a lawyer who 143 00:08:11,440 --> 00:08:14,920 Speaker 2: has a master's degree in public health. This CDC position, 144 00:08:14,960 --> 00:08:18,880 Speaker 2: as you mentioned, has been it's like a defense against 145 00:08:18,880 --> 00:08:21,920 Speaker 2: the dark arts in the Harry Potter universe. Like it's 146 00:08:22,040 --> 00:08:26,160 Speaker 2: just a tough one to keep every year different every 147 00:08:26,240 --> 00:08:30,080 Speaker 2: year someone or more more often than that. This is 148 00:08:30,400 --> 00:08:36,040 Speaker 2: I think very much a reaction to some real pressure 149 00:08:36,120 --> 00:08:39,559 Speaker 2: the administration has been getting sort of pushback against the 150 00:08:39,960 --> 00:08:43,880 Speaker 2: so called Maha agenda. President Trump I don't think is 151 00:08:43,960 --> 00:08:49,320 Speaker 2: as on board with the full RFK Junior philosophy than 152 00:08:49,760 --> 00:08:52,520 Speaker 2: that group of people or the people who support those policies. 153 00:08:52,520 --> 00:08:55,880 Speaker 2: Would like, and there's been you know, particular pushback against 154 00:08:55,920 --> 00:08:58,959 Speaker 2: the anti vaccine rhetoric in the face of the rising 155 00:08:59,040 --> 00:09:01,520 Speaker 2: number of measles cases and whatnot. So here we have 156 00:09:01,520 --> 00:09:05,040 Speaker 2: a CDC director who's like could have been appointed by Biden, 157 00:09:05,080 --> 00:09:09,360 Speaker 2: could have been appointed by Bush, like you know, an appropriate, 158 00:09:09,360 --> 00:09:12,360 Speaker 2: down the middle CDC director. What is really going to 159 00:09:12,360 --> 00:09:15,160 Speaker 2: be interesting if she gets confirmed is like, how does 160 00:09:15,200 --> 00:09:19,720 Speaker 2: she work with RFK Junior because clearly they have some 161 00:09:19,800 --> 00:09:21,480 Speaker 2: different policy beliefs. 162 00:09:21,800 --> 00:09:24,040 Speaker 1: Absolutely, I mean, this feels like someone who can definitely 163 00:09:24,080 --> 00:09:27,320 Speaker 1: get confirmed on like some of the people they've nominated. 164 00:09:27,400 --> 00:09:29,839 Speaker 1: But the question of, you know, can can she work 165 00:09:29,840 --> 00:09:30,880 Speaker 1: inside this administration? 166 00:09:30,960 --> 00:09:32,840 Speaker 3: I guess we will find out. 167 00:09:34,040 --> 00:09:36,480 Speaker 2: We'll find out. And that's it for the health news 168 00:09:36,520 --> 00:09:38,880 Speaker 2: of the week. After the break, what's the deal with 169 00:09:39,080 --> 00:09:45,600 Speaker 2: hormone replacement therapy? 170 00:09:46,360 --> 00:09:46,920 Speaker 3: Welcome back. 171 00:09:47,600 --> 00:09:51,600 Speaker 1: So we're going to talk about hormone replacement therapy, and 172 00:09:51,920 --> 00:09:53,679 Speaker 1: I want to start by saying up front, you know, 173 00:09:53,760 --> 00:09:57,040 Speaker 1: this is not a full discussion of all of the 174 00:09:57,040 --> 00:09:59,839 Speaker 1: potential benefits and whether you personally should be on R 175 00:10:00,280 --> 00:10:03,640 Speaker 1: replacement therapy. I think what we find in Perry, you 176 00:10:03,640 --> 00:10:06,040 Speaker 1: can correct me if this isn't what you find interesting here. 177 00:10:06,080 --> 00:10:07,960 Speaker 3: But I think what we've found interesting here. 178 00:10:07,880 --> 00:10:11,439 Speaker 1: Is kind of how the discussion of this science has evolved. 179 00:10:11,480 --> 00:10:13,320 Speaker 1: And so we'll talk a little bit about how we 180 00:10:13,480 --> 00:10:17,280 Speaker 1: got to where we are now, where we were before, 181 00:10:17,880 --> 00:10:20,440 Speaker 1: some of the data, and then some of the benefits 182 00:10:20,440 --> 00:10:24,080 Speaker 1: that are potentially true here. But this is really something 183 00:10:24,120 --> 00:10:27,280 Speaker 1: where whether one should be on this or not is 184 00:10:27,440 --> 00:10:30,280 Speaker 1: very dependent on talking to your doctor about where you are. 185 00:10:30,520 --> 00:10:34,319 Speaker 2: Yeah, this is complicated, folks. You know. This isn't red 186 00:10:34,400 --> 00:10:36,520 Speaker 2: light therapy where it's like, well, it's going to cost 187 00:10:36,520 --> 00:10:38,280 Speaker 2: you some money, but it's probably not going to kill you. 188 00:10:38,320 --> 00:10:41,120 Speaker 2: There are benefits, there are risks. We'll touch on some 189 00:10:41,160 --> 00:10:44,360 Speaker 2: of these. There are subgroups of people that would benefit more. 190 00:10:44,400 --> 00:10:46,520 Speaker 2: There are subgroups of people that have higher risks. This 191 00:10:46,600 --> 00:10:49,440 Speaker 2: is like a real deal talk with your doctor, but 192 00:10:49,480 --> 00:10:53,920 Speaker 2: it's also a completely fascinating area. I do want to 193 00:10:53,920 --> 00:10:56,640 Speaker 2: give one other disclaimer. There's like sort of an elephant 194 00:10:56,640 --> 00:11:00,160 Speaker 2: in the room here, which is that I'm a and 195 00:11:01,200 --> 00:11:06,440 Speaker 2: no true talking about hormone replacement therapy for women. This 196 00:11:06,520 --> 00:11:11,160 Speaker 2: could be like the worst case of recorded man'splaining in history. 197 00:11:12,040 --> 00:11:14,600 Speaker 2: So Emily, I think we need like a safe word 198 00:11:14,720 --> 00:11:18,840 Speaker 2: or something. If I start saying something like boorish or dumb, 199 00:11:19,880 --> 00:11:23,160 Speaker 2: you know, if I if I'm like, oh, menopause, you know, 200 00:11:23,280 --> 00:11:27,600 Speaker 2: is that that ba really beautiful transition or something like 201 00:11:27,720 --> 00:11:32,120 Speaker 2: you just say say rude, bega and I'll back off. 202 00:11:32,240 --> 00:11:36,760 Speaker 1: Safe word tampon, that's safe and you shut your mouth. 203 00:11:36,960 --> 00:11:38,439 Speaker 2: That this actually can work. 204 00:11:38,559 --> 00:11:40,760 Speaker 1: We can use this in all episodes. But yes, I 205 00:11:40,840 --> 00:11:44,400 Speaker 1: take I think that is a reasonable point. And I 206 00:11:44,440 --> 00:11:47,960 Speaker 1: will also say disclaimer on my side. You know, although 207 00:11:48,000 --> 00:11:51,280 Speaker 1: I am a woman of perimenopausal age who is presumably 208 00:11:51,320 --> 00:11:55,440 Speaker 1: somewhere in perimenopause, the actual experience of a lot of 209 00:11:55,480 --> 00:11:58,120 Speaker 1: the symptoms that people are using hormone replacement therapy to 210 00:11:58,240 --> 00:12:00,560 Speaker 1: treat is very different. 211 00:12:00,720 --> 00:12:04,120 Speaker 3: And so I can say something. 212 00:12:03,720 --> 00:12:05,440 Speaker 1: About what it is like to be a forty six 213 00:12:05,480 --> 00:12:07,800 Speaker 1: year old woman, but certainly cannot speak to the experience 214 00:12:07,800 --> 00:12:10,360 Speaker 1: of all forty six year old women. So with that 215 00:12:10,480 --> 00:12:15,640 Speaker 1: lengthy tampon disclaimer and so on, let's go. And I 216 00:12:15,679 --> 00:12:20,160 Speaker 1: think the place to start here is with the biology 217 00:12:20,360 --> 00:12:24,920 Speaker 1: of what hormone are we replacing and why so? Can you, 218 00:12:25,679 --> 00:12:28,240 Speaker 1: very briefly, from your doctor's standpoint, tell me what hormone 219 00:12:28,240 --> 00:12:29,360 Speaker 1: are replacing. 220 00:12:28,920 --> 00:12:29,640 Speaker 3: And why. 221 00:12:30,960 --> 00:12:38,360 Speaker 2: So? Can I say, for again, very briefly, that hormones stop. 222 00:12:38,760 --> 00:12:40,920 Speaker 2: I'm like, I'm just gonna like spin my chair around 223 00:12:40,960 --> 00:12:45,160 Speaker 2: and sit in the corner. Okay, we're talking about steroid hormones, 224 00:12:45,280 --> 00:12:49,480 Speaker 2: which include estrogen progesterone, and we'll touch on testosterone at 225 00:12:49,480 --> 00:12:51,199 Speaker 2: the end as well. And I do want to say 226 00:12:51,200 --> 00:12:53,520 Speaker 2: something about the biology of what makes steroid hormones, and 227 00:12:53,520 --> 00:12:56,360 Speaker 2: there are a few others as well, really special in 228 00:12:56,400 --> 00:12:58,880 Speaker 2: the body. We have these cells in our body which 229 00:12:58,920 --> 00:13:01,120 Speaker 2: are like little factory. They have a job to do, 230 00:13:01,480 --> 00:13:04,600 Speaker 2: and most of the way that they sense the outside 231 00:13:04,640 --> 00:13:06,880 Speaker 2: world or the world outside the cells, is through these 232 00:13:06,880 --> 00:13:09,559 Speaker 2: receptors on their surface, and the drugs we take and 233 00:13:09,600 --> 00:13:11,319 Speaker 2: a lot of the chemicals in our body buying these 234 00:13:11,360 --> 00:13:13,559 Speaker 2: receptors on the surface of the cells, but they don't 235 00:13:13,559 --> 00:13:15,520 Speaker 2: get into the cells. They just sort of bind their receptor. 236 00:13:15,559 --> 00:13:17,400 Speaker 2: They say hey, we're out here, and it causes the 237 00:13:17,440 --> 00:13:20,000 Speaker 2: cell to do something else, like produce more insulin, you know, 238 00:13:20,040 --> 00:13:22,920 Speaker 2: if it's a factory, produce more widgets or something. The 239 00:13:22,960 --> 00:13:26,720 Speaker 2: steroid hormones receptors are not on the outside of the cell. 240 00:13:26,760 --> 00:13:28,840 Speaker 2: They're in the nucleus of the cell, which is where 241 00:13:28,840 --> 00:13:31,920 Speaker 2: the DNA lives. Steroid hormones have the ability to go 242 00:13:32,120 --> 00:13:35,160 Speaker 2: right through the cellular membrane because they're lipid soluble and 243 00:13:35,240 --> 00:13:37,760 Speaker 2: into the nucleus where they bind their receptors, and their 244 00:13:37,840 --> 00:13:44,280 Speaker 2: effect is to change what DNA gets transcribed inside that cell. So, 245 00:13:44,679 --> 00:13:48,280 Speaker 2: to continue the factory analogy, it's like, you know, most 246 00:13:48,360 --> 00:13:52,120 Speaker 2: drugs and substances kind of like send a telegram to 247 00:13:52,160 --> 00:13:54,760 Speaker 2: the factory and are like make more widgets, and steroid 248 00:13:54,760 --> 00:13:58,760 Speaker 2: hormones go into the factory and can redesign the entire thing, 249 00:13:58,960 --> 00:14:01,520 Speaker 2: which is why you can take a hormone like testosterone 250 00:14:01,520 --> 00:14:03,400 Speaker 2: and all of a sudden, a cell that didn't grow 251 00:14:03,480 --> 00:14:08,680 Speaker 2: hair now grows hair. That also explains why the effects 252 00:14:08,720 --> 00:14:13,240 Speaker 2: of stereoid hormones are so broad, like they can do 253 00:14:13,360 --> 00:14:16,400 Speaker 2: so many things, and we don't even fully understand why 254 00:14:16,440 --> 00:14:18,840 Speaker 2: they do all the things they do, so they really 255 00:14:18,920 --> 00:14:21,960 Speaker 2: are a special group of things. And that's my very 256 00:14:21,960 --> 00:14:25,360 Speaker 2: basic biology of what we're talking about here. When we 257 00:14:25,400 --> 00:14:30,200 Speaker 2: speak about hormone replacement therapy in terms of women in general, 258 00:14:30,560 --> 00:14:32,680 Speaker 2: we're I mean, it is what it sounds like. We're 259 00:14:32,680 --> 00:14:36,480 Speaker 2: talking about giving doses of the hormones that go down 260 00:14:36,720 --> 00:14:41,280 Speaker 2: in perimenopause and postmenopause, which is estrogen and progesterone HRT 261 00:14:41,760 --> 00:14:46,680 Speaker 2: is supposed to replace those levels, not to make them higher, 262 00:14:47,240 --> 00:14:49,840 Speaker 2: but to get them back to sort of where they 263 00:14:49,840 --> 00:14:53,680 Speaker 2: were at baseline. In contrast, for women who are premenopausal, 264 00:14:53,720 --> 00:14:57,200 Speaker 2: who might have used oral contraceptive pills or something, where 265 00:14:57,240 --> 00:14:59,360 Speaker 2: the doses of those hormones are much much higher because 266 00:14:59,360 --> 00:15:04,200 Speaker 2: they're designed to actually suppress the endogenous hormone levels. That 267 00:15:04,240 --> 00:15:05,080 Speaker 2: wasn't very brief. 268 00:15:05,440 --> 00:15:07,560 Speaker 3: It was not brief, but it was I thought it 269 00:15:07,600 --> 00:15:08,160 Speaker 3: was interesting. 270 00:15:08,800 --> 00:15:10,480 Speaker 1: I think that's great, and I think the kind of 271 00:15:10,560 --> 00:15:13,040 Speaker 1: big picture here you want to imagine is that during 272 00:15:13,640 --> 00:15:19,720 Speaker 1: perimenopause and menopause, your estrogen, in particular, although both estrogen 273 00:15:19,800 --> 00:15:25,360 Speaker 1: progesterone change, estrogen goes down a lot. Estrogen is part 274 00:15:25,400 --> 00:15:28,760 Speaker 1: of what supports a lot of ways that we feel good, 275 00:15:28,960 --> 00:15:33,080 Speaker 1: and so hormone replacement therapy is potentially a way to 276 00:15:33,280 --> 00:15:37,000 Speaker 1: improve some of the symptomatic experiences perimenopause. We'll talk about this, 277 00:15:37,120 --> 00:15:41,240 Speaker 1: but things like hot flashes or sleep disruptions, which are 278 00:15:41,320 --> 00:15:46,080 Speaker 1: kind of characteristic of many people during perimenopause, estrogen is 279 00:15:46,120 --> 00:15:49,560 Speaker 1: a potential treatment. Vaginal dryness is another example of where 280 00:15:49,720 --> 00:15:53,280 Speaker 1: just as your estrogen fallows, this goes, this symptom gets 281 00:15:53,320 --> 00:15:55,560 Speaker 1: more significant, and so we're kind. 282 00:15:55,400 --> 00:15:56,480 Speaker 3: Of all of these reasons. 283 00:15:56,800 --> 00:15:59,520 Speaker 1: There is a biology behind the idea that replacing some 284 00:15:59,600 --> 00:16:03,720 Speaker 1: of that SAM would improve some of your symptoms, absolutely 285 00:16:04,120 --> 00:16:07,600 Speaker 1: make you have more more of the hormone profile of 286 00:16:07,640 --> 00:16:10,520 Speaker 1: a thirty five year old than of a fifty one 287 00:16:10,560 --> 00:16:11,200 Speaker 1: year old. 288 00:16:11,160 --> 00:16:15,160 Speaker 2: Exactly, And that made so much biological sense that for 289 00:16:15,520 --> 00:16:18,760 Speaker 2: years and years and years this was a very common practice. 290 00:16:18,880 --> 00:16:22,280 Speaker 2: It was like we had access to these hormones. They 291 00:16:22,280 --> 00:16:25,600 Speaker 2: were first discovered in the nineteen twenties, I think, and 292 00:16:26,200 --> 00:16:29,480 Speaker 2: it is true that estrogen to this day is still 293 00:16:29,560 --> 00:16:32,080 Speaker 2: a lot of the estrogen that people received comes from 294 00:16:32,480 --> 00:16:36,000 Speaker 2: horse urine. Premarin is pregnant mary urine. There are seven 295 00:16:36,120 --> 00:16:39,280 Speaker 2: hundred and fifty thousand horses around the world that are 296 00:16:39,320 --> 00:16:42,320 Speaker 2: giving their urine to make some of these estrogens. Isn't 297 00:16:42,360 --> 00:16:46,240 Speaker 2: that fascinating? So nice of that all of a sudden, 298 00:16:47,120 --> 00:16:53,240 Speaker 2: this study happened that essentially overnight tanked the use of 299 00:16:53,240 --> 00:16:56,080 Speaker 2: hormone replacement therapy in the United States. That's the Women's 300 00:16:56,120 --> 00:16:59,200 Speaker 2: Health Initiative study. And Emily, can you tell us the 301 00:16:59,240 --> 00:17:01,400 Speaker 2: story of the Women's Health initiative, because I think it's 302 00:17:01,400 --> 00:17:03,560 Speaker 2: hard to understand any of this without talking about that. 303 00:17:04,200 --> 00:17:07,560 Speaker 1: Yeah, So I actually before before I tell you the 304 00:17:07,560 --> 00:17:10,080 Speaker 1: story of this, I want to spend like I remember 305 00:17:10,119 --> 00:17:12,280 Speaker 1: how you nerded out on physics. I'm going to nerd 306 00:17:12,320 --> 00:17:15,159 Speaker 1: out on statistical external validity, just very briefly, and then 307 00:17:15,160 --> 00:17:18,280 Speaker 1: I will talk about this. So when we talk about 308 00:17:18,359 --> 00:17:21,679 Speaker 1: scientific studies, we often talk about randomized control trials as 309 00:17:21,760 --> 00:17:25,639 Speaker 1: kind of the gold standard for generating causal effects. And 310 00:17:25,680 --> 00:17:28,640 Speaker 1: that's because when you have a randomized trial, you take 311 00:17:28,680 --> 00:17:31,080 Speaker 1: some people, you divide them up randomly, so you know 312 00:17:31,119 --> 00:17:33,320 Speaker 1: they're kind of the same at the beginning. You do 313 00:17:33,400 --> 00:17:35,159 Speaker 1: something to want and not the other, and then you 314 00:17:35,200 --> 00:17:38,360 Speaker 1: can be confident that for those people, if you see 315 00:17:38,359 --> 00:17:42,119 Speaker 1: different outcomes, the different outcomes are a result of the treatment. 316 00:17:42,200 --> 00:17:46,840 Speaker 1: That's like the idea, but that is going to tell 317 00:17:46,880 --> 00:17:51,360 Speaker 1: you a causal effect for the people that you study. 318 00:17:52,240 --> 00:17:56,280 Speaker 1: And if that effect is the same across all people 319 00:17:56,280 --> 00:17:58,960 Speaker 1: in the entire population, then you have learned about the 320 00:17:59,000 --> 00:18:03,080 Speaker 1: whole population. But if you have a population where the 321 00:18:03,080 --> 00:18:06,240 Speaker 1: effect might be different than like the rest of the world, 322 00:18:06,760 --> 00:18:09,000 Speaker 1: then you haven't actually learned about everybody. 323 00:18:09,080 --> 00:18:10,879 Speaker 3: So like to be simple. 324 00:18:11,040 --> 00:18:14,280 Speaker 1: Let's imagine that you have a study of a drug 325 00:18:14,359 --> 00:18:17,359 Speaker 1: and you only include men, and then you want to 326 00:18:17,359 --> 00:18:19,800 Speaker 1: be like, Okay, this was effective for men, now I'm 327 00:18:19,800 --> 00:18:22,440 Speaker 1: going to give it to everyone. Well, it's very possible 328 00:18:22,480 --> 00:18:24,240 Speaker 1: the effect for women could be different. 329 00:18:24,600 --> 00:18:26,360 Speaker 2: I mean, we did this for fifty years. By the way, 330 00:18:26,359 --> 00:18:27,400 Speaker 2: this was all of medicine. 331 00:18:27,400 --> 00:18:28,320 Speaker 3: This is the case. 332 00:18:28,560 --> 00:18:31,240 Speaker 1: It's worked, and it turns out, actually that doesn't port 333 00:18:31,440 --> 00:18:33,359 Speaker 1: very well. There are a lot of things where women 334 00:18:33,440 --> 00:18:36,800 Speaker 1: react differently than men. So this is an idea called 335 00:18:36,800 --> 00:18:39,880 Speaker 1: external validity. And we worry when we want randomize trials 336 00:18:39,960 --> 00:18:43,560 Speaker 1: about this external validity. And this is a topic that 337 00:18:43,600 --> 00:18:45,800 Speaker 1: I work on, so I feel very passionate about it. 338 00:18:46,240 --> 00:18:48,440 Speaker 1: But I say that at the top, and then I'm 339 00:18:48,440 --> 00:18:50,200 Speaker 1: going to tell you about the Women's Health Initiative because 340 00:18:50,200 --> 00:18:52,520 Speaker 1: I think in some ways that's some of the issues 341 00:18:52,520 --> 00:18:56,240 Speaker 1: that came up with that trial. So the Women's Health 342 00:18:56,280 --> 00:18:59,520 Speaker 1: Initiative is a study launched by the NIH in the 343 00:18:59,560 --> 00:19:04,440 Speaker 1: early nineteen nineties. It included about thirty thousand, twenty seven 344 00:19:04,480 --> 00:19:08,199 Speaker 1: thousand postmenopausal women. These women had an average age of 345 00:19:08,240 --> 00:19:13,720 Speaker 1: sixty three, and they they randomized them to sort of 346 00:19:13,760 --> 00:19:19,040 Speaker 1: two different treatments of sort of hormone replacement therapy and 347 00:19:19,240 --> 00:19:25,159 Speaker 1: also a placebo. And when the follow up was published 348 00:19:25,320 --> 00:19:28,879 Speaker 1: in two thousand and two, they actually the people doing 349 00:19:28,880 --> 00:19:31,719 Speaker 1: this study halted the study in two thousand and two, 350 00:19:31,800 --> 00:19:35,040 Speaker 1: or halted one arm of the study because of a 351 00:19:35,160 --> 00:19:38,119 Speaker 1: concern that there was an increase in both breast cancer 352 00:19:38,160 --> 00:19:42,600 Speaker 1: and cardiovascular events which exceeded what they saw as the 353 00:19:42,640 --> 00:19:47,639 Speaker 1: benefits of this. And it was a relatively small increase numerically, 354 00:19:47,680 --> 00:19:51,120 Speaker 1: but percentage wise it was quite sizable. So the relative 355 00:19:51,119 --> 00:19:54,280 Speaker 1: increase about twenty five percent in invasive breast cancer and 356 00:19:54,280 --> 00:19:57,600 Speaker 1: about thirty percent in cardiovascular events, was actually also an 357 00:19:57,640 --> 00:20:03,880 Speaker 1: increase in strokes. And with that change, we pretty much 358 00:20:03,920 --> 00:20:10,119 Speaker 1: saw a absolute tanking of any hormone replacement therapy prescriptions. 359 00:20:10,320 --> 00:20:13,240 Speaker 1: So this was sort of the end at least for 360 00:20:13,280 --> 00:20:17,000 Speaker 1: some period of kind of widespread hormone replacement. And I 361 00:20:17,040 --> 00:20:19,960 Speaker 1: would say that's the nadier and then sort of over 362 00:20:20,440 --> 00:20:25,080 Speaker 1: time this has returned. But fundamentally the thing to understand 363 00:20:25,080 --> 00:20:28,240 Speaker 1: is a randomized trial of this which showed some elevated risks. 364 00:20:28,720 --> 00:20:31,719 Speaker 2: I want to double click on the relative risk versus 365 00:20:31,760 --> 00:20:34,480 Speaker 2: the absolute risk, because that's another important concept. That people 366 00:20:34,560 --> 00:20:36,199 Speaker 2: need to sort of be aware of when they think 367 00:20:36,200 --> 00:20:39,800 Speaker 2: about these studies. So let's take invasive breast cancer. When 368 00:20:39,840 --> 00:20:43,320 Speaker 2: that arm of the Women's Health Initiative was stopped, there 369 00:20:43,400 --> 00:20:47,280 Speaker 2: was a twenty six percent relative increase in invasive breast cancer, 370 00:20:47,320 --> 00:20:49,439 Speaker 2: and so people interpret that as like, my risk of 371 00:20:49,480 --> 00:20:52,399 Speaker 2: breast cancer would go up by twenty six percent. But 372 00:20:52,440 --> 00:20:55,399 Speaker 2: if you look at the absolute numbers, there were thirty 373 00:20:55,600 --> 00:20:59,919 Speaker 2: cases of breast cancer per ten thousand women per year 374 00:21:00,119 --> 00:21:02,919 Speaker 2: in the placebo group, so thirty per ten thousand per 375 00:21:03,040 --> 00:21:08,040 Speaker 2: year in placebo, thirty eight per ten thousand per year 376 00:21:08,640 --> 00:21:12,600 Speaker 2: in the hormone replacement therapy group. So we're talking eight 377 00:21:12,760 --> 00:21:18,000 Speaker 2: extra cases per ten thousand women, right, And that doesn't 378 00:21:18,040 --> 00:21:21,680 Speaker 2: sound as bad as a twenty five percent increase. Here 379 00:21:21,680 --> 00:21:23,320 Speaker 2: twenty five percent, and they're like, oh my gosh, that 380 00:21:23,320 --> 00:21:25,120 Speaker 2: means I'm going to have a twenty five percent chance 381 00:21:25,119 --> 00:21:27,320 Speaker 2: of getting cancer or worse or something like that. Really, 382 00:21:27,840 --> 00:21:31,359 Speaker 2: the absolute risk is very small, not zero, but very small. 383 00:21:31,359 --> 00:21:35,080 Speaker 2: And sometimes the way we help explain that to people 384 00:21:35,359 --> 00:21:38,440 Speaker 2: is with a concept called number needed to harm, which 385 00:21:38,480 --> 00:21:41,000 Speaker 2: is like, how many people would you need to treat 386 00:21:41,080 --> 00:21:43,199 Speaker 2: for there to be one extra case of cancer, And 387 00:21:43,240 --> 00:21:45,000 Speaker 2: in this case, if you do a little math, it 388 00:21:45,040 --> 00:21:48,040 Speaker 2: would be one thousand, two hundred and fifty women. If 389 00:21:48,119 --> 00:21:49,960 Speaker 2: you treat one thousand, two hundred and fifty women with 390 00:21:50,000 --> 00:21:53,360 Speaker 2: hormone replacement therapy, you would get one extra case of 391 00:21:53,480 --> 00:21:58,240 Speaker 2: invasive breast cancer per year, not nothing. But again, Emily, 392 00:21:58,280 --> 00:22:00,199 Speaker 2: and you're about to talk to us about this, that's 393 00:22:00,240 --> 00:22:04,960 Speaker 2: assuming that the women in the study are the same 394 00:22:05,080 --> 00:22:08,680 Speaker 2: as the women that you're prescribing the hormone replacement therapy too. 395 00:22:09,000 --> 00:22:09,840 Speaker 2: And is that the case? 396 00:22:10,480 --> 00:22:11,960 Speaker 1: So first of all, let me just say I hate 397 00:22:11,960 --> 00:22:14,520 Speaker 1: those number needed to treat things. I understand doctors like 398 00:22:14,560 --> 00:22:16,720 Speaker 1: those as a way to describe risk size, and they 399 00:22:17,000 --> 00:22:18,680 Speaker 1: I don't think they make any sense to It don't 400 00:22:18,680 --> 00:22:19,040 Speaker 1: work for you. 401 00:22:19,160 --> 00:22:21,600 Speaker 2: People, a right, it doesn't work for me. Listeners tell 402 00:22:21,680 --> 00:22:23,359 Speaker 2: us if you like number needed to treat. 403 00:22:24,440 --> 00:22:27,439 Speaker 1: Yeah, I don't like it, but I guess I'm not 404 00:22:27,480 --> 00:22:29,480 Speaker 1: the only listener, but I'm the first listener and I 405 00:22:29,480 --> 00:22:32,240 Speaker 1: don't like it. I will say that I think that 406 00:22:32,520 --> 00:22:35,879 Speaker 1: there is this sort of difference between percent and percentage points, 407 00:22:36,400 --> 00:22:39,600 Speaker 1: which is very important. People here twenty five percent increase 408 00:22:39,640 --> 00:22:42,480 Speaker 1: and they immediately think, you know, that raises my risk 409 00:22:42,520 --> 00:22:45,040 Speaker 1: from zero to twenty five percent as opposed to it 410 00:22:45,080 --> 00:22:48,040 Speaker 1: is a twenty five percent increase from an already low 411 00:22:48,119 --> 00:22:50,840 Speaker 1: number relative to a very low number. So I think 412 00:22:50,920 --> 00:22:53,480 Speaker 1: that's that's like we can talk more at some point 413 00:22:53,480 --> 00:22:57,560 Speaker 1: about how to talk about small numbers to people. Okay, 414 00:22:57,720 --> 00:23:00,520 Speaker 1: So getting back to the to the women Tell initiative, 415 00:23:00,520 --> 00:23:02,000 Speaker 1: you know, in this when this sort of first stuff 416 00:23:02,040 --> 00:23:03,280 Speaker 1: came out in two thousand and two, I think the 417 00:23:03,960 --> 00:23:08,000 Speaker 1: prescription rates for HRT drop by like eighty percent. I mean, 418 00:23:08,000 --> 00:23:10,679 Speaker 1: it was a real tanking. And because it sort of 419 00:23:10,680 --> 00:23:13,560 Speaker 1: fell to people like so it sounded like the you know, 420 00:23:13,720 --> 00:23:15,960 Speaker 1: hormonal placement therapy gives you breast cancer. That was kind 421 00:23:15,960 --> 00:23:17,960 Speaker 1: of like the headline was like, you take this, You're 422 00:23:17,960 --> 00:23:23,120 Speaker 1: gonna get breast cancer. But then sort of almost immediately 423 00:23:23,240 --> 00:23:26,479 Speaker 1: things got like quite more complicated. So there was a 424 00:23:26,520 --> 00:23:29,960 Speaker 1: second arm of the trial that treated in a slightly 425 00:23:30,000 --> 00:23:33,840 Speaker 1: different way, and that arm was halted in two thousand 426 00:23:33,840 --> 00:23:37,200 Speaker 1: and four because of a concern about an increased risk 427 00:23:37,240 --> 00:23:40,080 Speaker 1: of stroke. But actually in that group, the risk of 428 00:23:40,080 --> 00:23:41,840 Speaker 1: invasive breast cancer had gone down. 429 00:23:42,440 --> 00:23:44,120 Speaker 3: So now already. 430 00:23:43,680 --> 00:23:46,200 Speaker 1: There's like a little bit more of a complicated story, 431 00:23:46,920 --> 00:23:50,480 Speaker 1: which may relate to the overall small numbers could relate to, 432 00:23:51,119 --> 00:23:53,919 Speaker 1: you know, some actual differences in impacts, but it was 433 00:23:53,960 --> 00:23:57,960 Speaker 1: sort of made the story immediately more complicated. And then 434 00:23:58,440 --> 00:24:02,119 Speaker 1: you know, over the past, probably over the ten years 435 00:24:02,200 --> 00:24:06,480 Speaker 1: or fifteen years following this initial publication, one of the 436 00:24:06,480 --> 00:24:10,439 Speaker 1: things that became pretty clear was that the age group 437 00:24:10,560 --> 00:24:15,359 Speaker 1: in the study seemed to matter a lot. So the 438 00:24:15,400 --> 00:24:17,879 Speaker 1: primary group, the average age of people enrolled in the 439 00:24:17,880 --> 00:24:22,000 Speaker 1: study was like sixty three, but when they cut the study, 440 00:24:22,040 --> 00:24:27,000 Speaker 1: they what it's called stratified, divided the study into people 441 00:24:27,080 --> 00:24:30,720 Speaker 1: who were sort of closer to menopause, so people who 442 00:24:30,720 --> 00:24:33,160 Speaker 1: were fifty to fifty nine, so the kind of younger 443 00:24:33,280 --> 00:24:35,560 Speaker 1: group within ten years of menopause. 444 00:24:36,200 --> 00:24:37,920 Speaker 3: They actually looked like. 445 00:24:38,320 --> 00:24:42,520 Speaker 1: The treatment decreased their risk of cardiovascular disease and all 446 00:24:42,560 --> 00:24:43,560 Speaker 1: cause mortality. 447 00:24:43,600 --> 00:24:45,720 Speaker 3: So actually in that group they seem to have. 448 00:24:45,680 --> 00:24:50,359 Speaker 1: An overall mortality benefit and a reduction in cardiovascular disease 449 00:24:50,400 --> 00:24:54,320 Speaker 1: which sort of was offset by these older individuals. So 450 00:24:55,040 --> 00:24:57,840 Speaker 1: in some sense, what's really important about that is you 451 00:24:57,960 --> 00:25:00,320 Speaker 1: kind of, again getting back to this external validity point, 452 00:25:01,160 --> 00:25:04,040 Speaker 1: we put in a bunch of people, we drew some 453 00:25:04,080 --> 00:25:07,280 Speaker 1: conclusions based on a much older cohort, and then we 454 00:25:07,320 --> 00:25:10,879 Speaker 1: applied that conclusion to everybody, even though A it looked 455 00:25:10,880 --> 00:25:14,800 Speaker 1: like the younger cohort, if anything, had some benefits, and 456 00:25:14,920 --> 00:25:17,800 Speaker 1: B actually treatment with HRT is somewhat more common in 457 00:25:17,840 --> 00:25:19,760 Speaker 1: these younger cohorts, you know, and that is where this 458 00:25:19,800 --> 00:25:23,240 Speaker 1: symptomatic stuff shows up most significantly. And so you're sort 459 00:25:23,280 --> 00:25:25,040 Speaker 1: of learning from a group that's like not even the 460 00:25:25,040 --> 00:25:28,920 Speaker 1: group you're really interested in treating. And I think that 461 00:25:29,000 --> 00:25:33,720 Speaker 1: realization over time has kind of we've started to return 462 00:25:33,840 --> 00:25:36,240 Speaker 1: to the use of HRT, but it has taken a 463 00:25:36,320 --> 00:25:37,960 Speaker 1: very taken a very long time. 464 00:25:38,080 --> 00:25:41,199 Speaker 2: Yeah, the Women's Health Initiative study was not designed to 465 00:25:41,280 --> 00:25:44,760 Speaker 2: test whether HRT reduces the symptoms of menopause, because, as 466 00:25:44,760 --> 00:25:46,800 Speaker 2: you point out, seventy percent of the women in the 467 00:25:46,840 --> 00:25:49,960 Speaker 2: study were more than ten years past menopause, like they 468 00:25:49,960 --> 00:25:53,440 Speaker 2: weren't symptomatic anymore. It was designed to test whether hormone 469 00:25:53,480 --> 00:25:57,919 Speaker 2: replacement therapy is cardioprotected it protects the heart, because you know, 470 00:25:57,960 --> 00:26:01,040 Speaker 2: there's long been an observation that women tend not to 471 00:26:01,119 --> 00:26:04,520 Speaker 2: have heart attacks and stuff until after metopause, and it 472 00:26:04,560 --> 00:26:07,080 Speaker 2: was thought the asternom to be protective. That obviously didn't 473 00:26:07,080 --> 00:26:09,360 Speaker 2: pan out in that older group of women. It may 474 00:26:09,400 --> 00:26:12,560 Speaker 2: among younger women. There's like, the study wasn't designed to 475 00:26:12,680 --> 00:26:14,960 Speaker 2: test the thing that we're using it for now. 476 00:26:15,960 --> 00:26:18,119 Speaker 1: Yeah, I think, I mean in some ways many people 477 00:26:18,160 --> 00:26:21,000 Speaker 1: would say, well, well, like what why not? And you know, 478 00:26:21,040 --> 00:26:25,680 Speaker 1: one answer is like you know, the patriarchy or something. 479 00:26:26,400 --> 00:26:28,920 Speaker 1: But you know it really it is a really important 480 00:26:28,920 --> 00:26:32,000 Speaker 1: point because for many people, the reason to treat this 481 00:26:32,200 --> 00:26:35,400 Speaker 1: is because of symptomatic you know, because of improvements and 482 00:26:35,480 --> 00:26:36,200 Speaker 1: in symptoms. 483 00:26:36,400 --> 00:26:37,840 Speaker 3: This study just wasn't about that. 484 00:26:37,920 --> 00:26:40,919 Speaker 1: It's not that it was it evaluated symptom profile and 485 00:26:41,040 --> 00:26:42,560 Speaker 1: show that it didn't work or anything. It just like 486 00:26:42,600 --> 00:26:44,760 Speaker 1: that wasn't one of the outcomes, and it wouldn't have 487 00:26:44,760 --> 00:26:47,480 Speaker 1: made sense with this age go work because again the 488 00:26:47,520 --> 00:26:51,600 Speaker 1: sort of symptomatic pieces of menopause are earlier, and so 489 00:26:52,119 --> 00:26:55,359 Speaker 1: it really is an example of a place where I 490 00:26:55,359 --> 00:26:58,320 Speaker 1: think a lot of people's lives were made substantially worse 491 00:26:59,040 --> 00:27:02,800 Speaker 1: by this research, which in principle was very well meaning 492 00:27:03,480 --> 00:27:06,520 Speaker 1: and from which perhaps we did learn something, but it 493 00:27:06,800 --> 00:27:09,240 Speaker 1: caused a lot of people to not have symptom relief 494 00:27:09,240 --> 00:27:15,280 Speaker 1: who could have. So we then find ourselves in the 495 00:27:15,480 --> 00:27:18,920 Speaker 1: current moment where I think like overall we are starting 496 00:27:18,920 --> 00:27:23,320 Speaker 1: to see HRT. It's like it's having a moment, it's 497 00:27:23,320 --> 00:27:24,240 Speaker 1: like having a comeback. 498 00:27:24,640 --> 00:27:26,000 Speaker 3: Absolutely, people are into it. 499 00:27:26,640 --> 00:27:29,680 Speaker 2: Yeah, I think that the word has gotten out and 500 00:27:29,800 --> 00:27:32,480 Speaker 2: it's making people very curious. But part of this is 501 00:27:32,480 --> 00:27:35,399 Speaker 2: word of mouth, because unlike a lot of drugs we 502 00:27:35,440 --> 00:27:39,359 Speaker 2: take and give ourselves, like, hormone replacement therapy really works 503 00:27:39,600 --> 00:27:43,919 Speaker 2: for symptoms of menopause. And so if you are a 504 00:27:43,960 --> 00:27:46,480 Speaker 2: woman or no, a woman who has those symptoms and 505 00:27:46,480 --> 00:27:48,960 Speaker 2: then they start taking HRT, they'll tell you how much 506 00:27:48,960 --> 00:27:51,440 Speaker 2: better it is, and that's that's real. And so this 507 00:27:51,640 --> 00:27:52,800 Speaker 2: percolates really quickly. 508 00:27:53,280 --> 00:27:55,600 Speaker 1: But can I like sort of set back one STEC, 509 00:27:55,680 --> 00:27:58,640 Speaker 1: which is, you know, looking at the Women's Health Initiative results, 510 00:27:59,040 --> 00:28:00,840 Speaker 1: sort of what would you think we should have taken 511 00:28:00,880 --> 00:28:01,520 Speaker 1: away from. 512 00:28:01,320 --> 00:28:03,640 Speaker 2: That from the initial results? 513 00:28:03,800 --> 00:28:06,119 Speaker 1: Yeah, in two thousand and two, what would you have 514 00:28:06,160 --> 00:28:08,360 Speaker 1: had them do sort of do or say differently? 515 00:28:09,920 --> 00:28:13,480 Speaker 2: To be honest, because the purpose of the study was 516 00:28:13,520 --> 00:28:16,639 Speaker 2: to determine whether hormone replacement therapy reduce the risk of 517 00:28:16,640 --> 00:28:21,160 Speaker 2: cardiovascular disease, and it didn't in the overall population, I 518 00:28:21,200 --> 00:28:23,160 Speaker 2: think I would have said, Okay, you should not give 519 00:28:23,160 --> 00:28:26,040 Speaker 2: hormone replacement therapy to reduce the risk of cardiovascular disease 520 00:28:26,320 --> 00:28:29,520 Speaker 2: in post menopausal women, in post menopause women. And I 521 00:28:29,560 --> 00:28:33,280 Speaker 2: would probably still say that today to be honest, although 522 00:28:33,359 --> 00:28:37,160 Speaker 2: you know, you could maybe convince me. But the problem 523 00:28:37,200 --> 00:28:41,200 Speaker 2: is when we extrapolate from one outcome to all outcomes. Yeah, 524 00:28:41,320 --> 00:28:43,080 Speaker 2: and we'll get to some of those other outcomes. But 525 00:28:43,160 --> 00:28:46,040 Speaker 2: I did want to give I think, you know, women 526 00:28:46,080 --> 00:28:48,800 Speaker 2: who are reading about this, it can be very confusing 527 00:28:49,320 --> 00:28:52,360 Speaker 2: what is out there? Right, I said estrogen and progesterone 528 00:28:52,800 --> 00:28:56,720 Speaker 2: in terms of the biology, but there are so many 529 00:28:56,720 --> 00:29:00,880 Speaker 2: different types and preparations. I think think it's worth just 530 00:29:01,280 --> 00:29:04,840 Speaker 2: giving people a framework to sort of think through how 531 00:29:04,880 --> 00:29:08,640 Speaker 2: to take these hormones. And so the framework that I 532 00:29:08,680 --> 00:29:13,920 Speaker 2: have found useful is to remember that really the hormone 533 00:29:13,960 --> 00:29:16,520 Speaker 2: that you want to get for homone replacement therapy is estrogen. 534 00:29:17,000 --> 00:29:19,560 Speaker 3: Yes, that's the best one. The Estrogen's a great hormone. 535 00:29:19,600 --> 00:29:23,360 Speaker 2: So it's a great hormone. We love, we love estrogen it. 536 00:29:23,920 --> 00:29:27,480 Speaker 2: Estrogen is responsible for what makes women women, the secondary 537 00:29:27,520 --> 00:29:31,040 Speaker 2: sexual characteristics and a lot of other things. Progesterone is 538 00:29:31,080 --> 00:29:33,800 Speaker 2: there to stop you from getting uterine cancer. I mean 539 00:29:33,840 --> 00:29:39,080 Speaker 2: that's really what it is. So estrogen flogs the lining 540 00:29:39,080 --> 00:29:42,280 Speaker 2: of the uterus to grow and develop, that's one of 541 00:29:42,280 --> 00:29:46,440 Speaker 2: its jobs during the menstrual cycle. If you don't allow 542 00:29:46,520 --> 00:29:49,640 Speaker 2: the lining of the uterus to settle down and mature, 543 00:29:49,760 --> 00:29:51,959 Speaker 2: which is what progesterone does, and it keeps getting hit 544 00:29:51,960 --> 00:29:54,560 Speaker 2: by estrogen, the risk of uterine cancer really does increase. 545 00:29:54,640 --> 00:29:59,640 Speaker 2: And so you want the estrogen, you need the progesterone 546 00:30:00,160 --> 00:30:03,160 Speaker 2: if you have a uterus. And that other arm of 547 00:30:03,200 --> 00:30:05,240 Speaker 2: the Women's Health Initiative study that you alluded to was 548 00:30:05,240 --> 00:30:07,560 Speaker 2: an estrogen only arm, and you could only get in 549 00:30:07,600 --> 00:30:10,280 Speaker 2: that arm if your uterus had already been removed for 550 00:30:10,320 --> 00:30:14,560 Speaker 2: some reason. And I mentioned that because a lot of 551 00:30:14,600 --> 00:30:18,920 Speaker 2: the outcomes for estrogen only hormone replacement therapy are actually 552 00:30:18,960 --> 00:30:22,760 Speaker 2: a little bit better than estrogen and plus progesterone therapy, 553 00:30:22,800 --> 00:30:24,800 Speaker 2: it's just like not everyone is eligible for that. So 554 00:30:24,840 --> 00:30:29,360 Speaker 2: particularly breast cancer, for example, the risk in the overall 555 00:30:29,360 --> 00:30:32,400 Speaker 2: Women's Health Initiative was elevated, but among those women who 556 00:30:32,440 --> 00:30:34,880 Speaker 2: were on estrogen only because they didn't have a uterus, 557 00:30:35,240 --> 00:30:37,960 Speaker 2: the risk was slightly reduced. So really interesting there and 558 00:30:38,000 --> 00:30:40,840 Speaker 2: something to keep in mind. So ask about the uterus. 559 00:30:40,880 --> 00:30:43,560 Speaker 2: The other thing is whether you're taking these as pills 560 00:30:43,920 --> 00:30:47,800 Speaker 2: or not as pills. The pill forms have to get 561 00:30:47,840 --> 00:30:50,800 Speaker 2: digested and pass through the liver before they get to 562 00:30:50,840 --> 00:30:54,080 Speaker 2: your blood, and depending on the type of estrogen, the 563 00:30:54,120 --> 00:30:57,320 Speaker 2: liver can break down like straight up estrogen, like seventeen 564 00:30:57,360 --> 00:31:00,880 Speaker 2: beta estra dial which is the norm the that women 565 00:31:00,920 --> 00:31:02,600 Speaker 2: make in their own bodies. You can take that in 566 00:31:02,640 --> 00:31:04,720 Speaker 2: pill form, and if you do, your liver will break 567 00:31:04,760 --> 00:31:06,600 Speaker 2: down ninety five percent of it before it gets to 568 00:31:06,640 --> 00:31:08,800 Speaker 2: the rest of your blood. So you're actually taking pretty 569 00:31:08,840 --> 00:31:12,160 Speaker 2: high doses to get like relatively normal blood levels. In 570 00:31:12,280 --> 00:31:15,040 Speaker 2: contrast to a patch which goes right through the skin. 571 00:31:16,000 --> 00:31:19,240 Speaker 2: You know, there's transvaginal or like vaginal preparations as well, 572 00:31:19,320 --> 00:31:21,680 Speaker 2: which can get right into the bloodstream and the doses 573 00:31:21,720 --> 00:31:24,920 Speaker 2: are much lower. That's worth mentioning because some of the 574 00:31:25,000 --> 00:31:29,600 Speaker 2: risk of clot seems to be driven by these oral preparations, 575 00:31:29,640 --> 00:31:32,600 Speaker 2: and I don't think people are entirely sure why there's 576 00:31:32,640 --> 00:31:34,760 Speaker 2: a higher risk there. But if you've got the liver 577 00:31:34,880 --> 00:31:37,640 Speaker 2: breaking down ninety five percent of stuff, you know that's 578 00:31:37,640 --> 00:31:39,880 Speaker 2: going to be variable woman to woman because everyone's liver 579 00:31:39,920 --> 00:31:41,719 Speaker 2: is a little bit different. And I bet dosing is 580 00:31:41,800 --> 00:31:44,440 Speaker 2: just trickier to get right in those situations, so I 581 00:31:44,520 --> 00:31:46,040 Speaker 2: just wanted to that's the framework. 582 00:31:46,400 --> 00:31:51,000 Speaker 1: I think partly, that somewhat complicated framework illustrates sort of 583 00:31:51,040 --> 00:31:55,320 Speaker 1: why this is a challenging thing to talk about in 584 00:31:55,360 --> 00:32:01,440 Speaker 1: a podcast. And you know, because everybody's not for us, 585 00:32:01,640 --> 00:32:04,840 Speaker 1: but for other people, you know, because everybody's needs here 586 00:32:04,880 --> 00:32:07,880 Speaker 1: are going to be somewhat different. So there's an oral preparation. 587 00:32:08,040 --> 00:32:11,040 Speaker 1: There's a patch, which I know is what a lot. 588 00:32:11,000 --> 00:32:14,720 Speaker 2: Of people like, and there's a shortage of right now, and. 589 00:32:14,680 --> 00:32:15,480 Speaker 3: There's a shortage. 590 00:32:16,240 --> 00:32:19,480 Speaker 1: There are you know, vaginal creams which really are are 591 00:32:19,600 --> 00:32:23,600 Speaker 1: kind of intended to treat or are effective mostly at 592 00:32:23,600 --> 00:32:28,000 Speaker 1: treating the specific issue of vaginal dryness, so people you know, 593 00:32:28,080 --> 00:32:32,200 Speaker 1: experience that symptom. A vaginal estrogen based cream can be 594 00:32:32,320 --> 00:32:36,360 Speaker 1: very effective. Can also be usable even for people potentially 595 00:32:36,440 --> 00:32:40,680 Speaker 1: who would not be wanting to take estrogen only therapies 596 00:32:41,120 --> 00:32:43,880 Speaker 1: in other ways because of other risks. So it's sort 597 00:32:43,880 --> 00:32:46,800 Speaker 1: of like all about you know, what are the particular 598 00:32:46,800 --> 00:32:49,000 Speaker 1: symptoms that I am experiencing, what are the other risk 599 00:32:49,080 --> 00:32:51,600 Speaker 1: factors that I'm holding on too, and then what's the 600 00:32:51,680 --> 00:32:56,480 Speaker 1: right way to address those symptoms and getting back to 601 00:32:56,560 --> 00:32:58,200 Speaker 1: the idea that a lot of what we're trying to 602 00:32:58,200 --> 00:33:01,040 Speaker 1: do with this hormone replacement therapy, in contrast to what 603 00:33:01,080 --> 00:33:03,200 Speaker 1: the Women's Health Initiative was evaluating, a lot of what 604 00:33:03,200 --> 00:33:06,040 Speaker 1: we're trying to do is, you know, dial down symptoms 605 00:33:06,120 --> 00:33:10,760 Speaker 1: of perimenopause and menopause, which are very disruptive to people's lives. 606 00:33:11,240 --> 00:33:12,520 Speaker 2: So let's talk about the symptoms. 607 00:33:12,680 --> 00:33:13,800 Speaker 3: Let's talk about the symptoms. 608 00:33:14,760 --> 00:33:19,600 Speaker 2: Does hormone replacement therapy Yes, work for hot flashes, It really. 609 00:33:19,360 --> 00:33:21,400 Speaker 3: Really really does. So hot flashes, you. 610 00:33:21,320 --> 00:33:27,400 Speaker 1: Know, vasomotor symptoms are very very common experience of perimenopause. 611 00:33:27,480 --> 00:33:30,400 Speaker 1: This is like the like joke on television shows where 612 00:33:30,400 --> 00:33:33,800 Speaker 1: someone's sticking their head and the refrigerator that's that's a 613 00:33:33,800 --> 00:33:34,360 Speaker 1: hot flash. 614 00:33:34,400 --> 00:33:35,320 Speaker 3: People get a lot. 615 00:33:35,160 --> 00:33:40,120 Speaker 1: Of these at night, and it's very disruptive at night 616 00:33:40,280 --> 00:33:43,640 Speaker 1: because you know, you sweat, you wake up, your bed 617 00:33:43,880 --> 00:33:47,920 Speaker 1: is completely soaked, and then you know you can't. 618 00:33:47,600 --> 00:33:50,000 Speaker 3: Just go back to sleep because you're like literally. 619 00:33:49,640 --> 00:33:54,680 Speaker 1: Drenched, and it is very unpleasant having had this happen. 620 00:33:54,760 --> 00:33:58,640 Speaker 1: It's very unpleasant, and hormone replacement therapy reduces the risk 621 00:33:58,680 --> 00:34:00,760 Speaker 1: of hot flashes and these studies by some like seventy 622 00:34:00,840 --> 00:34:04,600 Speaker 1: to eighty percent, So can be really really effective at 623 00:34:04,640 --> 00:34:10,600 Speaker 1: what is probably the most disruptive experience in perimenopause that 624 00:34:10,600 --> 00:34:10,960 Speaker 1: people have. 625 00:34:11,800 --> 00:34:14,200 Speaker 2: And perimenopause can go on for quite some. 626 00:34:14,200 --> 00:34:17,360 Speaker 1: Time, it goes I mean yes, it can go on 627 00:34:17,480 --> 00:34:21,120 Speaker 1: for many years, so people maybe it's worth saying. So 628 00:34:21,360 --> 00:34:25,799 Speaker 1: menopause actually defined as twelve months. You sort of are 629 00:34:25,840 --> 00:34:29,880 Speaker 1: in menopause when you are twelve months past your last period. 630 00:34:30,000 --> 00:34:33,840 Speaker 1: So it's a thing that sort of defined retroactively. So 631 00:34:33,880 --> 00:34:35,759 Speaker 1: there's like a moment at which your last period was 632 00:34:35,800 --> 00:34:39,160 Speaker 1: twelve months ago and now you are in menopause. Perimenopause 633 00:34:39,200 --> 00:34:41,239 Speaker 1: is the sort of period leading up to that when 634 00:34:41,640 --> 00:34:45,000 Speaker 1: periods get less frequent or more frequent, like they kind 635 00:34:45,000 --> 00:34:48,839 Speaker 1: of mess around. Your cycle isn't so regular, and that 636 00:34:48,960 --> 00:34:51,759 Speaker 1: is where many of these symptoms start showing up. 637 00:34:51,840 --> 00:34:55,000 Speaker 2: And I want to be clear that perimenopause has nothing 638 00:34:55,040 --> 00:34:57,200 Speaker 2: to do with Perry Wilson. There's no relation. 639 00:34:57,760 --> 00:34:59,960 Speaker 3: It's no, it's not even spelled the same. 640 00:35:00,239 --> 00:35:03,799 Speaker 2: You know, I was not named after after you. 641 00:35:03,920 --> 00:35:08,400 Speaker 1: I don't know if menopausad Perry. 642 00:35:10,280 --> 00:35:15,040 Speaker 2: I think though hot Flashes clearly works. You talked about 643 00:35:15,160 --> 00:35:19,880 Speaker 2: the general urinary symptoms, where the topical preparations are probably 644 00:35:19,920 --> 00:35:23,760 Speaker 2: superior to oral preparations. Another reason to kind of discuss 645 00:35:23,800 --> 00:35:26,440 Speaker 2: with your doctor about how exactly you are going to 646 00:35:26,480 --> 00:35:29,960 Speaker 2: go about this. But it's the vaguer symptoms I think 647 00:35:30,040 --> 00:35:32,640 Speaker 2: that are where a lot of women who I talk 648 00:35:32,680 --> 00:35:35,200 Speaker 2: to are really have their questions like, yes, that's great, 649 00:35:35,200 --> 00:35:37,040 Speaker 2: I don't want to have hot flashes, but also what 650 00:35:37,120 --> 00:35:41,040 Speaker 2: about my brain? What about sleep? What about you know, memory? 651 00:35:41,480 --> 00:35:45,319 Speaker 2: And you'll hear people online saying that, like they start 652 00:35:45,360 --> 00:35:50,000 Speaker 2: a hormone replacement therapy and the scales fell from their eyes, 653 00:35:50,080 --> 00:35:52,120 Speaker 2: and you know, it was like they were granted a 654 00:35:52,120 --> 00:35:55,040 Speaker 2: whole new lease on life, which, to be honest, and 655 00:35:55,120 --> 00:35:59,800 Speaker 2: maybe this is another safeword thing I'm always skeptical of naturally, 656 00:35:59,840 --> 00:36:02,080 Speaker 2: just because I never think there's like any one thing 657 00:36:02,160 --> 00:36:04,799 Speaker 2: that can be that transformative except the power of love. 658 00:36:06,200 --> 00:36:06,680 Speaker 2: Oh my god. 659 00:36:08,160 --> 00:36:11,000 Speaker 1: So I let me say sort of two things about that. 660 00:36:11,160 --> 00:36:14,360 Speaker 1: So one is, you know, if you think about the 661 00:36:14,360 --> 00:36:17,640 Speaker 1: the sort of experience of the menstrual cycle, there is 662 00:36:17,680 --> 00:36:19,840 Speaker 1: a period of the of the menstruds is like before 663 00:36:19,880 --> 00:36:21,840 Speaker 1: the men's recycle, when your estrogen is higher in the 664 00:36:21,920 --> 00:36:25,200 Speaker 1: kind of pre ovulatory phase and then the estrogen falls, 665 00:36:25,200 --> 00:36:29,360 Speaker 1: and a lot of people do experience fairly substantial mood 666 00:36:29,400 --> 00:36:33,839 Speaker 1: shifts with those cycles. So the idea that estrogen could affect. 667 00:36:33,560 --> 00:36:35,600 Speaker 2: That's why whenever a woman's in a bad mood, my 668 00:36:35,680 --> 00:36:38,359 Speaker 2: first question is like, where are you? 669 00:36:38,680 --> 00:36:40,680 Speaker 1: That's my question where that's where you want to start 670 00:36:40,760 --> 00:36:43,399 Speaker 1: totally totally is this, yeah, and that's where I that's 671 00:36:43,440 --> 00:36:46,880 Speaker 1: always That actually is a great marriage tip that many. 672 00:36:46,719 --> 00:36:49,080 Speaker 3: People could we should. 673 00:36:49,080 --> 00:36:50,240 Speaker 2: We could help so many people. 674 00:36:50,280 --> 00:36:51,360 Speaker 3: We could help so many people. 675 00:36:51,760 --> 00:36:55,400 Speaker 1: So I think it's not crazy to imagine that estrogen 676 00:36:55,480 --> 00:37:00,600 Speaker 1: could affect your mood. I think a lot of that experience, 677 00:37:00,680 --> 00:37:03,920 Speaker 1: the brain fog, the fatigue, whatever, is in fact sleep. 678 00:37:04,320 --> 00:37:07,120 Speaker 1: So if you think about there's a sort of evidence 679 00:37:07,360 --> 00:37:11,200 Speaker 1: that that hormone replacement therapy improves people's sleep, that maybe 680 00:37:11,200 --> 00:37:13,480 Speaker 1: because of a reduction of basil motor symptoms, there may 681 00:37:13,480 --> 00:37:17,000 Speaker 1: be other you know, they're like, no, you're not waking 682 00:37:17,040 --> 00:37:18,479 Speaker 1: up in the middle of the night to change the bed. 683 00:37:18,840 --> 00:37:22,160 Speaker 1: But it may also have sort of other other things 684 00:37:22,200 --> 00:37:25,400 Speaker 1: that impact sleep. If you have slept better, you feel better. 685 00:37:25,680 --> 00:37:27,960 Speaker 1: And so if the whole whole thing here was just 686 00:37:28,000 --> 00:37:30,719 Speaker 1: improving sleep, I actually could explain a fair amount of 687 00:37:31,239 --> 00:37:33,200 Speaker 1: just a general set of like, boy, do I feel 688 00:37:33,239 --> 00:37:35,640 Speaker 1: a lot better? Yeah, the same way the first time 689 00:37:35,640 --> 00:37:37,359 Speaker 1: your baby sleeps to the night you're like, oh my god, 690 00:37:37,360 --> 00:37:40,480 Speaker 1: I'm going to conquer the world because I haven't, you know, 691 00:37:40,560 --> 00:37:41,919 Speaker 1: because I've I've slept. 692 00:37:42,080 --> 00:37:45,239 Speaker 2: Right, absolutely, And this is randomized trial level data. There's 693 00:37:45,239 --> 00:37:48,160 Speaker 2: been a number of trials, but one called the Keeps trial. 694 00:37:48,840 --> 00:37:52,520 Speaker 2: This was in sort of just recently. Menopausal woman showed 695 00:37:52,560 --> 00:37:56,440 Speaker 2: a pretty significant improvement in global sleep quality scores in 696 00:37:56,480 --> 00:37:59,400 Speaker 2: the group that got hormone replacement therapy compared to place ebo. 697 00:37:59,640 --> 00:38:03,319 Speaker 2: As you mentioned, Emily, when they stratified that population by 698 00:38:03,320 --> 00:38:07,600 Speaker 2: women who were having severe vasomotor symptoms, severe hot flashes, like, 699 00:38:07,680 --> 00:38:09,960 Speaker 2: that's where a lot of the benefit accrued. So it 700 00:38:10,040 --> 00:38:14,680 Speaker 2: might just be that you'll see people online talking about 701 00:38:14,880 --> 00:38:19,279 Speaker 2: progesterone actually in particular binding the GABBA receptor in the brain. 702 00:38:19,360 --> 00:38:23,000 Speaker 2: That's the same receptor that alcohol and benzodiazepines bind to, 703 00:38:23,880 --> 00:38:28,520 Speaker 2: one of my personal favorite receptors. But not much data 704 00:38:28,560 --> 00:38:32,760 Speaker 2: beside the mechanistic like petri dish stuff that would suggest 705 00:38:32,760 --> 00:38:36,239 Speaker 2: that progesterone is a calming factor. But I think if 706 00:38:36,280 --> 00:38:38,880 Speaker 2: you're certainly if you're waking up with hot flashes like 707 00:38:39,440 --> 00:38:40,839 Speaker 2: this can be really good. 708 00:38:41,440 --> 00:38:43,400 Speaker 1: The other thing we should say is that there's some 709 00:38:43,440 --> 00:38:46,719 Speaker 1: evidence of an improvement in fractures, so people are risking 710 00:38:46,719 --> 00:38:50,120 Speaker 1: oft osteoporosis. That's another that's another place where we see 711 00:38:50,800 --> 00:38:53,880 Speaker 1: some hormonal placement therapy benefits. 712 00:38:54,400 --> 00:38:57,600 Speaker 2: Yeah, no, I mean it's it's so important. I looked 713 00:38:57,640 --> 00:39:00,960 Speaker 2: also a little bit more into brain stuff. The problem 714 00:39:01,000 --> 00:39:03,319 Speaker 2: with brain fog is it's a bit of a Potter 715 00:39:03,360 --> 00:39:05,760 Speaker 2: Stewart thing, you know, Potter Stewart, the Supreme Court justice. 716 00:39:06,040 --> 00:39:08,520 Speaker 1: So like pornography, you know, and if you you know 717 00:39:08,560 --> 00:39:10,080 Speaker 1: when you see it, you know when you see it 718 00:39:10,120 --> 00:39:11,520 Speaker 1: right now, when you see it? Is that in my 719 00:39:11,520 --> 00:39:13,839 Speaker 1: class literally all the time, I'm constantly telling them it's 720 00:39:13,840 --> 00:39:16,000 Speaker 1: like what the Supreme Court's out of pornography, And people were. 721 00:39:16,000 --> 00:39:20,840 Speaker 2: Just like as they like load up Browns, like report 722 00:39:20,880 --> 00:39:22,240 Speaker 2: your professor page. 723 00:39:22,360 --> 00:39:24,360 Speaker 1: I don't let them have devices in classes, just to 724 00:39:24,400 --> 00:39:25,600 Speaker 1: avoid that kind of behavior. 725 00:39:25,680 --> 00:39:29,279 Speaker 2: Mart So, I think brain fog is you know, we're 726 00:39:29,280 --> 00:39:31,239 Speaker 2: all like, oh, yeah, I know what that is. And 727 00:39:31,280 --> 00:39:34,360 Speaker 2: then but no one's study there's no randomized trials of 728 00:39:34,400 --> 00:39:37,120 Speaker 2: like brain fog because that's what do you mean, Like, 729 00:39:37,160 --> 00:39:39,319 Speaker 2: how do you quantify that? And so what you do 730 00:39:39,440 --> 00:39:44,600 Speaker 2: get is you get randomized trials of neurocognitive testing, which 731 00:39:45,000 --> 00:39:48,200 Speaker 2: is across a variety of domains, you know, executive function, 732 00:39:48,719 --> 00:39:51,520 Speaker 2: verbal memory, physical memory, like all these different tests that 733 00:39:51,560 --> 00:39:55,000 Speaker 2: you can put people through, and the data is really 734 00:39:55,000 --> 00:39:58,960 Speaker 2: not super compelling that there are dramatic brain improvement effects, 735 00:39:58,960 --> 00:40:02,640 Speaker 2: with the only exception being verbal memory. There did seem 736 00:40:02,640 --> 00:40:06,080 Speaker 2: to be an uptick in verbal memory. And again just 737 00:40:06,480 --> 00:40:09,440 Speaker 2: you know, get out your your your your shock buzzer 738 00:40:09,560 --> 00:40:13,160 Speaker 2: or whatever we're using for me here. But I did 739 00:40:13,239 --> 00:40:15,040 Speaker 2: feel like there, I was like, oh, that's kind of 740 00:40:15,080 --> 00:40:17,000 Speaker 2: like a mom brane thing, like you can't find the 741 00:40:17,040 --> 00:40:18,480 Speaker 2: word for X y Z right. 742 00:40:18,880 --> 00:40:20,240 Speaker 3: That's called fatigue. 743 00:40:21,360 --> 00:40:22,960 Speaker 1: I mean, I just I feel like so hard to 744 00:40:23,000 --> 00:40:24,840 Speaker 1: separate all this stuff from being tired. 745 00:40:24,920 --> 00:40:28,320 Speaker 3: But all right, so let's let's just leave. 746 00:40:28,160 --> 00:40:32,160 Speaker 1: The hormone replacement therapy at You know, this is especially 747 00:40:32,200 --> 00:40:36,560 Speaker 1: if you are someone who is experiencing symptoms of perimenopause. 748 00:40:36,600 --> 00:40:39,240 Speaker 1: This is something you for sure would like to discuss 749 00:40:40,280 --> 00:40:43,600 Speaker 1: with your doctor, absolutely right. 750 00:40:43,880 --> 00:40:46,040 Speaker 3: What about testosterone? 751 00:40:46,080 --> 00:40:50,360 Speaker 1: So that feels like we're diving in a little more 752 00:40:50,360 --> 00:40:54,120 Speaker 1: more talk about testosterone for men separately, but testosterone for 753 00:40:54,239 --> 00:40:57,759 Speaker 1: women feels like is it? I always think of this 754 00:40:57,800 --> 00:40:59,480 Speaker 1: as like, this is how I could cheat in my 755 00:41:00,000 --> 00:41:00,880 Speaker 1: sports performance. 756 00:41:01,000 --> 00:41:04,400 Speaker 2: Oh, but you will not be allowed to because testosterone 757 00:41:04,400 --> 00:41:09,919 Speaker 2: hormone replacement therapy is banned by almost every international sports 758 00:41:09,960 --> 00:41:13,040 Speaker 2: authority and by the wellness actually metric of is it 759 00:41:13,080 --> 00:41:13,960 Speaker 2: banned doesn't work? 760 00:41:15,600 --> 00:41:16,200 Speaker 3: It does work? 761 00:41:16,520 --> 00:41:20,600 Speaker 1: Yes, So why are people using this in menopause? And 762 00:41:21,040 --> 00:41:22,600 Speaker 1: are there reasons they should do it? 763 00:41:23,640 --> 00:41:27,359 Speaker 2: Yeah? So women do have testosterone just like men have 764 00:41:27,600 --> 00:41:30,239 Speaker 2: some estrogen. It's just men have about ten times the 765 00:41:30,280 --> 00:41:33,400 Speaker 2: testosterone and women have about ten times the estrogen and 766 00:41:33,719 --> 00:41:40,040 Speaker 2: Viva la de France. Women's testosterone levels peak around age 767 00:41:40,120 --> 00:41:43,799 Speaker 2: twenty and sort of decline slowly thereafter. They do not 768 00:41:44,000 --> 00:41:48,200 Speaker 2: suffer the same menopausal cliff as estrogen and progesterone, so 769 00:41:48,200 --> 00:41:50,040 Speaker 2: they do sort of more the male thing, which we'll 770 00:41:50,040 --> 00:41:52,280 Speaker 2: talk about next week, which is kind of like a slow, 771 00:41:52,320 --> 00:41:58,040 Speaker 2: steady decline over time. The interest in testosterone is really 772 00:41:58,120 --> 00:42:01,359 Speaker 2: more recent than for women at least is much more 773 00:42:01,400 --> 00:42:05,880 Speaker 2: recent than the broader HRT, in part because this is 774 00:42:05,920 --> 00:42:09,480 Speaker 2: a hormone that people associate with, you know, muscle growth, 775 00:42:09,560 --> 00:42:14,000 Speaker 2: and maintenance vigor to some extent, and to be honest, 776 00:42:14,160 --> 00:42:18,280 Speaker 2: a lot of the research has been driven by sexual dysfunction. 777 00:42:19,200 --> 00:42:23,680 Speaker 2: So testosterone in women's sort of first foray into organized 778 00:42:23,680 --> 00:42:29,080 Speaker 2: research was to treat what's called hyperactive sexual desire disorder. 779 00:42:29,760 --> 00:42:32,640 Speaker 2: You know, there's no there's no viagra for women yet, 780 00:42:32,680 --> 00:42:36,840 Speaker 2: and so testosterone was sort of used for this purpose. 781 00:42:37,760 --> 00:42:38,440 Speaker 2: Does it work? 782 00:42:39,120 --> 00:42:42,239 Speaker 3: Yeah, pretty it does. It does work for. 783 00:42:44,440 --> 00:42:48,720 Speaker 2: Sexual stuff. It works. The largest meta analysis comes from 784 00:42:49,040 --> 00:42:53,759 Speaker 2: the Lancet combining data for multiple studies about eighty five 785 00:42:53,840 --> 00:42:58,560 Speaker 2: hundred women total randomized trial data. And there's a bunch 786 00:42:58,600 --> 00:43:02,839 Speaker 2: of different ways to to measure sexual satisfaction, but the 787 00:43:03,080 --> 00:43:07,359 Speaker 2: women for getting disastroone replacement therapy had approximately one additional 788 00:43:07,840 --> 00:43:12,080 Speaker 2: satisfying sexual event per month. So a satisfying sexual event 789 00:43:12,480 --> 00:43:15,680 Speaker 2: could be with a partner, it could be alone. It 790 00:43:15,719 --> 00:43:18,359 Speaker 2: doesn't necessarily mean there is an orgasm. It just has 791 00:43:18,400 --> 00:43:22,560 Speaker 2: to be satisfying. Beyond that, though, yeah, I don't have 792 00:43:22,640 --> 00:43:24,920 Speaker 2: much for a testosterone I don't think. 793 00:43:24,719 --> 00:43:25,960 Speaker 3: It feels so like. 794 00:43:26,800 --> 00:43:29,440 Speaker 1: We know that tesosterone is a part of why people 795 00:43:29,880 --> 00:43:32,520 Speaker 1: no offense. Men like sex more than women on average, 796 00:43:33,560 --> 00:43:35,839 Speaker 1: or at least on average, desire that's true. That's true 797 00:43:35,840 --> 00:43:38,480 Speaker 1: in the data men men would like. The optimal amount 798 00:43:38,480 --> 00:43:40,360 Speaker 1: of sex that men want is more. I want to 799 00:43:40,360 --> 00:43:44,399 Speaker 1: be offended that you're not. You don't be offended, and 800 00:43:44,440 --> 00:43:46,360 Speaker 1: so I don't think it's that surprising that if you 801 00:43:46,400 --> 00:43:49,120 Speaker 1: gave people you're more of this this hormone, they might 802 00:43:49,680 --> 00:43:53,800 Speaker 1: be more excited about sex. But the sort of other benefit, 803 00:43:53,800 --> 00:43:55,600 Speaker 1: which is like a real benefit, I mean again, if 804 00:43:55,680 --> 00:43:58,600 Speaker 1: you like, if you have a mismatch sexual desire with 805 00:43:58,680 --> 00:44:01,800 Speaker 1: your partner, or you miss how much used to like sex, 806 00:44:01,840 --> 00:44:05,480 Speaker 1: this is this sort of interesting thing too to think about. 807 00:44:06,440 --> 00:44:09,160 Speaker 1: The other benefits don't really seem to be there. And 808 00:44:09,200 --> 00:44:13,200 Speaker 1: of course there are some symptomatic side effects of testosterone, 809 00:44:13,239 --> 00:44:15,879 Speaker 1: the same kinds of things you see if you use 810 00:44:15,920 --> 00:44:19,200 Speaker 1: it to improve your sports performance, like hair growth and 811 00:44:19,280 --> 00:44:23,240 Speaker 1: acne and other and other things. So certainly not something 812 00:44:23,239 --> 00:44:26,920 Speaker 1: you should be purchasing, you know, along with your peptide 813 00:44:26,960 --> 00:44:29,120 Speaker 1: stack from foreign countries. 814 00:44:28,800 --> 00:44:29,840 Speaker 3: On the internet or whatever. 815 00:44:30,600 --> 00:44:38,200 Speaker 2: Yeah, and testosterone is probably not as beneficial for heart health. 816 00:44:39,000 --> 00:44:41,759 Speaker 2: If estrogen is beneficial for heart health, testosterone is not. 817 00:44:41,920 --> 00:44:45,200 Speaker 2: It is sort of the yang to the yin of estrogen. 818 00:44:45,239 --> 00:44:46,919 Speaker 2: I'm not sure which one is the sort of more 819 00:44:47,000 --> 00:44:51,040 Speaker 2: like violent one, but testosterone supplementation can increase cholesterol levels 820 00:44:51,080 --> 00:44:54,879 Speaker 2: potentially promote athrosclerosis. So it's like, I don't think we're 821 00:44:54,880 --> 00:44:58,239 Speaker 2: all there yet, but you're going to see more and 822 00:44:58,239 --> 00:45:01,400 Speaker 2: more of it, and especially as we just have to 823 00:45:01,440 --> 00:45:05,080 Speaker 2: mention there's an entire industry that is out there that 824 00:45:05,200 --> 00:45:10,440 Speaker 2: is selling hormone replacement therapy to women and men, you know, 825 00:45:10,560 --> 00:45:15,640 Speaker 2: using telemedicine, the sort of direct to consumer prescription model. 826 00:45:15,680 --> 00:45:19,120 Speaker 2: And I'm not weighing in on, you know, the like 827 00:45:19,160 --> 00:45:21,879 Speaker 2: ethics or legality of that. I'm just saying it is there. 828 00:45:22,480 --> 00:45:26,399 Speaker 2: So people have access to these treatments in a way 829 00:45:26,440 --> 00:45:29,319 Speaker 2: that they've never really had before. And so you're going 830 00:45:29,400 --> 00:45:31,600 Speaker 2: to see more and more and more of this, and 831 00:45:32,040 --> 00:45:34,200 Speaker 2: it makes it all that much more important to like 832 00:45:34,360 --> 00:45:38,080 Speaker 2: be really cognizant and talk with someone really knowledgeable before 833 00:45:38,120 --> 00:45:40,879 Speaker 2: you start, so you know what you want to get 834 00:45:40,880 --> 00:45:42,600 Speaker 2: and that you can make sure wherever you're getting it 835 00:45:42,600 --> 00:45:44,520 Speaker 2: from is legitimate. 836 00:45:45,680 --> 00:45:48,200 Speaker 1: So Perry, of course, people can buy these hormones online. 837 00:45:48,200 --> 00:45:49,800 Speaker 1: But the other thing I see a tremendous amount of 838 00:45:49,880 --> 00:45:51,879 Speaker 1: is these tests, Like you know, get this blood test. 839 00:45:51,920 --> 00:45:53,719 Speaker 1: It's going to tell you where you are and your 840 00:45:53,719 --> 00:45:56,239 Speaker 1: different thing and which kinds of things you need. Is 841 00:45:56,280 --> 00:45:59,040 Speaker 1: that I, of course I've had all of these tests 842 00:45:59,040 --> 00:46:03,520 Speaker 1: because crazy person. But is there a sort of actionable 843 00:46:03,560 --> 00:46:07,600 Speaker 1: piece of that? Is that just selling people nonsense? Should 844 00:46:07,600 --> 00:46:10,400 Speaker 1: I care about my T three free number is not 845 00:46:10,520 --> 00:46:13,960 Speaker 1: as good as I whoop says it should be saving? 846 00:46:15,280 --> 00:46:19,520 Speaker 2: Honestly, No, when it comes to estrogen progesterone levels, yes, 847 00:46:19,640 --> 00:46:22,480 Speaker 2: you can certainly buy tests online to measure your levels, 848 00:46:22,480 --> 00:46:25,359 Speaker 2: but no, they don't really change the treatment paradigm, which 849 00:46:25,400 --> 00:46:28,359 Speaker 2: is how we decide whether a test is valuable or not. So, 850 00:46:28,760 --> 00:46:32,640 Speaker 2: particularly in perimenopause, the levels can be all over the place. 851 00:46:33,200 --> 00:46:35,319 Speaker 2: Estrogen can go up and then crash and kind of 852 00:46:35,320 --> 00:46:38,800 Speaker 2: go up again. That's part of the difficulties of perimenopause. 853 00:46:38,840 --> 00:46:42,800 Speaker 2: And so the indications for treatment with hormone replacement therapy 854 00:46:43,360 --> 00:46:45,920 Speaker 2: is are you at an age where it's reasonable that 855 00:46:46,040 --> 00:46:48,760 Speaker 2: you're in perimenopause or menopause, and do you have symptoms 856 00:46:48,760 --> 00:46:52,719 Speaker 2: of perimenopause or menopause? And that's it, so, you know, 857 00:46:53,200 --> 00:46:56,640 Speaker 2: getting you to spend a subscription fee to continually measure 858 00:46:56,640 --> 00:46:58,920 Speaker 2: these hormones over and over air event or even once, 859 00:46:59,040 --> 00:46:59,960 Speaker 2: I think is a bit of a cap. 860 00:47:01,080 --> 00:47:06,560 Speaker 1: Okay, fair enough, Thank you, smash your past Perry. 861 00:47:06,600 --> 00:47:10,120 Speaker 3: Hormone replacement therapy smash. 862 00:47:10,200 --> 00:47:14,440 Speaker 2: I'm going to go with a lot of the society 863 00:47:14,440 --> 00:47:18,160 Speaker 2: guidelines which say, you know, Perry, menopause, first ten years 864 00:47:18,160 --> 00:47:21,680 Speaker 2: of menopause, you know, potentially five to seven years of 865 00:47:21,880 --> 00:47:25,000 Speaker 2: therapy is a clear smash. Probably need some more data 866 00:47:25,080 --> 00:47:29,120 Speaker 2: on how long you can extend this into menopause, Emily 867 00:47:29,200 --> 00:47:29,799 Speaker 2: Smash Paths. 868 00:47:30,200 --> 00:47:32,200 Speaker 1: I'm going to go with a smash based on my 869 00:47:32,280 --> 00:47:36,879 Speaker 1: friends who say that it's great, and when I feel 870 00:47:36,960 --> 00:47:39,799 Speaker 1: like I need it, I'm gonna be trying it. Let 871 00:47:39,880 --> 00:47:42,720 Speaker 1: us know, all right, that's it for hormone replacement therapy. 872 00:47:42,960 --> 00:47:45,520 Speaker 1: Your mail bag Question of the Week after the Break. 873 00:47:50,800 --> 00:47:54,279 Speaker 4: Hi, Emily and Perry. This is Mary from Toronto and 874 00:47:54,360 --> 00:47:58,080 Speaker 4: I have a question about lime disease. I've heard that 875 00:47:58,239 --> 00:48:02,600 Speaker 4: dogs can get vaccinated for it, but I can't. Does 876 00:48:02,680 --> 00:48:04,800 Speaker 4: Lucy the beagle know something I don't? 877 00:48:05,480 --> 00:48:07,800 Speaker 3: Thanks so much, okay, Perry. 878 00:48:08,120 --> 00:48:12,040 Speaker 1: I love this question because it is asked in my 879 00:48:12,040 --> 00:48:14,440 Speaker 1: household all the time, like if there, if, and when 880 00:48:14,440 --> 00:48:16,600 Speaker 1: there is a lime disease vaccine for humans, my husband 881 00:48:16,600 --> 00:48:18,759 Speaker 1: will literally be the first person to get it, Like, 882 00:48:18,840 --> 00:48:21,680 Speaker 1: if there's a line, he is standing. He's like, he's 883 00:48:21,719 --> 00:48:23,799 Speaker 1: like the people wanted to buy the first iPhone. That's 884 00:48:23,880 --> 00:48:25,279 Speaker 1: my husband is going to be like that for a 885 00:48:25,320 --> 00:48:28,520 Speaker 1: lime disease a vaccine. No, he hasn't had it, but 886 00:48:28,560 --> 00:48:31,520 Speaker 1: he's like a he's like a tick lunatic. He's like 887 00:48:31,560 --> 00:48:33,959 Speaker 1: afraid every night when he gets to Tix season. Every 888 00:48:34,040 --> 00:48:36,080 Speaker 1: night when we get into bed, he's like, Okay, can 889 00:48:36,120 --> 00:48:36,919 Speaker 1: you check me for ticks? 890 00:48:36,960 --> 00:48:37,600 Speaker 3: Every single night? 891 00:48:37,640 --> 00:48:37,839 Speaker 4: Oh? 892 00:48:38,600 --> 00:48:41,200 Speaker 2: I find that kind of romantic. Actually, it's a little 893 00:48:41,800 --> 00:48:44,040 Speaker 2: it's like a rooming prime thing. Do you eat the 894 00:48:44,080 --> 00:48:46,560 Speaker 2: ticks if you find them? 895 00:48:47,760 --> 00:48:49,680 Speaker 1: Uh, there's one summer I found like five ticks on 896 00:48:49,719 --> 00:48:52,960 Speaker 1: my kid. Anyway, we never got we never got lime disease. Okay, 897 00:48:53,080 --> 00:48:56,200 Speaker 1: so uh so there is a lime disease for dogs 898 00:48:56,239 --> 00:48:59,200 Speaker 1: but not for humans. And there used to be a 899 00:48:59,200 --> 00:49:00,960 Speaker 1: lime disease vaccine for humans. 900 00:49:01,120 --> 00:49:06,040 Speaker 2: Yeah, yeah, yeah, it existed nineteen late nineties. It came 901 00:49:06,360 --> 00:49:09,400 Speaker 2: out and basically the only reason we don't have anymore 902 00:49:09,440 --> 00:49:13,080 Speaker 2: is it was a commercial failure. There are a few 903 00:49:13,120 --> 00:49:16,400 Speaker 2: reasons for that. One is the vaccine schedule wasn't great. 904 00:49:16,520 --> 00:49:19,080 Speaker 2: I think it was zero, like so you got one 905 00:49:19,120 --> 00:49:21,160 Speaker 2: and then you had a booster a month later, and 906 00:49:21,200 --> 00:49:24,239 Speaker 2: then another one twelve months later. So it's like a 907 00:49:24,280 --> 00:49:27,360 Speaker 2: series of three vaccines, which is a little bit annoying. 908 00:49:28,080 --> 00:49:32,200 Speaker 2: Because lime disease is not transmitted human to human, it 909 00:49:32,280 --> 00:49:37,360 Speaker 2: sort of shifts the public health landscape of the vaccine. 910 00:49:37,400 --> 00:49:39,279 Speaker 2: So the line vaccine was never going to be part 911 00:49:39,320 --> 00:49:42,400 Speaker 2: of like the childhood vaccination schedule, which is really designed 912 00:49:42,520 --> 00:49:46,040 Speaker 2: to protect all of society, right like lime disease really 913 00:49:46,360 --> 00:49:49,280 Speaker 2: only the vaccine is really only going to protect the person. 914 00:49:49,920 --> 00:49:52,520 Speaker 2: The other thing about lime disease is it's a bacteria, 915 00:49:52,640 --> 00:49:56,160 Speaker 2: not a virus. We have antibiotics that can treat it, 916 00:49:56,239 --> 00:50:00,399 Speaker 2: so it's not you know, the sort of risk isn't there. 917 00:50:00,440 --> 00:50:02,720 Speaker 2: But I mean, we had its AFT approved, you could 918 00:50:02,760 --> 00:50:05,160 Speaker 2: have gotten it and then just stop making it because 919 00:50:05,160 --> 00:50:06,200 Speaker 2: they weren't making enough money. 920 00:50:06,800 --> 00:50:12,720 Speaker 1: But exciting news is that there is actually a new 921 00:50:13,040 --> 00:50:16,239 Speaker 1: lime vaccine that is in phase three trials and they've 922 00:50:16,320 --> 00:50:19,200 Speaker 1: just announced that. Basically, I think the phase three trials 923 00:50:19,239 --> 00:50:22,279 Speaker 1: went well. This is like a very recent announcement, and 924 00:50:22,320 --> 00:50:25,040 Speaker 1: so I do expect there to be a line vaccine 925 00:50:25,600 --> 00:50:27,719 Speaker 1: coming down the line. And although you're right, I think 926 00:50:27,719 --> 00:50:30,799 Speaker 1: the commercial success was somewhat limit. I actually think people 927 00:50:30,840 --> 00:50:33,080 Speaker 1: have gotten more concerned about the sort of long. 928 00:50:33,000 --> 00:50:34,440 Speaker 3: Term impacts of lime disease. 929 00:50:34,480 --> 00:50:37,160 Speaker 1: And it is true that although if you notice the 930 00:50:37,200 --> 00:50:40,680 Speaker 1: tick and you get treatment, basically you can avoid getting 931 00:50:40,800 --> 00:50:43,719 Speaker 1: long term lime disease, many people don't. And so this 932 00:50:43,880 --> 00:50:46,239 Speaker 1: is you know, it can be a very significant it 933 00:50:46,280 --> 00:50:50,359 Speaker 1: could be incredibly debilitating if people don't have My brother 934 00:50:50,440 --> 00:50:51,600 Speaker 1: hadline disease. 935 00:50:51,520 --> 00:50:54,320 Speaker 2: Once, my daughter HADLME disease. 936 00:50:54,920 --> 00:50:56,840 Speaker 3: Because you live near lime, Connecticut, that's what. 937 00:50:58,760 --> 00:51:01,120 Speaker 2: My backyard is mostly ticks. 938 00:51:01,360 --> 00:51:03,000 Speaker 3: Yeah, that's where they live. 939 00:51:04,120 --> 00:51:05,960 Speaker 1: And so yeah, I mean it's like, you know, it's 940 00:51:06,000 --> 00:51:09,759 Speaker 1: a there's a telltale rash. If your child has a tick, 941 00:51:09,800 --> 00:51:13,279 Speaker 1: watch for the rash. But I am excited about the 942 00:51:13,360 --> 00:51:14,520 Speaker 1: line vaccine. 943 00:51:14,680 --> 00:51:17,440 Speaker 2: Yeah, tick checks. You have twenty four hours after the 944 00:51:17,440 --> 00:51:19,680 Speaker 2: tick has bit to get it off with before it 945 00:51:19,719 --> 00:51:22,479 Speaker 2: can transmit the bacteria. So tic checks on a daily 946 00:51:22,480 --> 00:51:23,840 Speaker 2: basis if your kids are outside. 947 00:51:24,160 --> 00:51:27,279 Speaker 1: Yeah, my brother did not get My brother he got 948 00:51:27,280 --> 00:51:29,759 Speaker 1: treated and he did not have lun He did not 949 00:51:29,800 --> 00:51:31,160 Speaker 1: have any significant long term yeah. 950 00:51:31,200 --> 00:51:33,520 Speaker 2: Line, Yeah, you can save the tick if you want 951 00:51:33,520 --> 00:51:35,920 Speaker 2: to show your doctor. They'll have fun with it. But 952 00:51:36,360 --> 00:51:38,000 Speaker 2: a lot of the time if the tick has been on, 953 00:51:38,040 --> 00:51:42,560 Speaker 2: and certainly if there's that target lesion, you'll get empiric antibiotic. 954 00:51:42,040 --> 00:51:44,040 Speaker 3: Treatment Taxi cyclin for the win. 955 00:51:47,239 --> 00:51:49,839 Speaker 2: All Right, that's it for us today. Stick with us 956 00:51:49,880 --> 00:51:53,000 Speaker 2: next week when we'll ask what's the deal with testosterone 957 00:51:53,320 --> 00:51:53,680 Speaker 2: for men? 958 00:51:54,200 --> 00:51:57,640 Speaker 3: Yay, finally we're studying men. Phew. 959 00:52:00,280 --> 00:52:03,600 Speaker 1: Wellness Actually is produced in association with iHeartMedia. 960 00:52:04,200 --> 00:52:06,120 Speaker 3: Our senior producer is Tamar Avishei. 961 00:52:06,560 --> 00:52:10,200 Speaker 1: Our executive producer at iHeart is Jennifer Bassett. Our theme 962 00:52:10,239 --> 00:52:12,880 Speaker 1: music is by Eric Deutsch, and our content is for 963 00:52:13,000 --> 00:52:14,240 Speaker 1: educational purposes only. 964 00:52:14,920 --> 00:52:17,200 Speaker 2: If you like the show, help other people find us, 965 00:52:17,560 --> 00:52:20,319 Speaker 2: leave a rating and review on Apple Podcasts or your 966 00:52:20,400 --> 00:52:23,120 Speaker 2: podcatcher of choice and help us spread the word about 967 00:52:23,160 --> 00:52:26,200 Speaker 2: the show. You can follow us on Instagram at Wellness 968 00:52:26,239 --> 00:52:29,399 Speaker 2: Actually pod and don't forget We want to hear from you. 969 00:52:29,840 --> 00:52:32,360 Speaker 2: Head over to Wellness Actually dot fm and leave us 970 00:52:32,360 --> 00:52:34,960 Speaker 2: a question for our mailbag or suggest a topic for 971 00:52:35,000 --> 00:52:35,680 Speaker 2: a future show. 972 00:52:36,440 --> 00:52:38,279 Speaker 3: We'll let the influencers have the last word. 973 00:52:38,560 --> 00:52:40,959 Speaker 5: Ladies, I want you to know these symptoms of perimenopause 974 00:52:41,000 --> 00:52:47,680 Speaker 5: and menopause. These are thirty four common symptoms acne allergies, anxiety, floating, constipation, 975 00:52:48,040 --> 00:52:54,719 Speaker 5: body odor, breast soreness, brtal nails, cholesterol changes, depression, difficulty concentrating, 976 00:52:55,000 --> 00:53:00,040 Speaker 5: dizzy spells, fatigue, gum problems, hair loss, headaches. 977 00:52:59,640 --> 00:53:06,440 Speaker 6: And migraines from palpitations, hot flashes, irregular periods, irritability or rage, 978 00:53:06,960 --> 00:53:12,640 Speaker 6: itchy skin, joint and muscle pain, libido changes, loss of breastfulness, 979 00:53:12,760 --> 00:53:13,719 Speaker 6: memory lapses 980 00:53:13,960 --> 00:53:19,239 Speaker 5: Mood swings, nausea and night sweats, osteopenia and osteoporosis, pain 981 00:53:19,320 --> 00:53:26,000 Speaker 5: during sex, panic disorder, sleep issues, baring countenance, vaginal dryness,