1 00:00:00,120 --> 00:00:04,480 Speaker 1: Jim Keeney is with US doctor Jim, chief medical officers 2 00:00:04,480 --> 00:00:07,480 Speaker 1: for Dignity Saint Mary Medical Center in Long Beach. 3 00:00:07,880 --> 00:00:10,440 Speaker 2: Good morning, Jim, Good morning Mill. 4 00:00:11,240 --> 00:00:14,000 Speaker 1: Okay, do we want to do the antidepressant story first, 5 00:00:14,040 --> 00:00:16,639 Speaker 1: because I know you think that's pretty important, or the 6 00:00:16,680 --> 00:00:18,280 Speaker 1: new flu virus. I'm going to throw it to you. 7 00:00:18,320 --> 00:00:18,840 Speaker 1: What do you think? 8 00:00:19,360 --> 00:00:21,840 Speaker 2: Let's let's do the flu virus first and then we 9 00:00:21,840 --> 00:00:24,119 Speaker 2: can talk a little bit longer about the antidepressant one. 10 00:00:24,320 --> 00:00:28,360 Speaker 1: Okay, the flu virus. I take one. Every year, I 11 00:00:28,440 --> 00:00:31,040 Speaker 1: get one. And what am I looking at this year? 12 00:00:32,640 --> 00:00:36,599 Speaker 2: Yeah? So this year the interesting information out is that 13 00:00:36,640 --> 00:00:41,400 Speaker 2: there is an emerging strain that they're seeing more commonly 14 00:00:41,440 --> 00:00:44,879 Speaker 2: in places like the UK, Japan, and Canada that are 15 00:00:44,880 --> 00:00:49,519 Speaker 2: already starting to see it. It's called subclade K and 16 00:00:49,560 --> 00:00:51,280 Speaker 2: it's one of the you know, we have all those 17 00:00:51,479 --> 00:00:56,480 Speaker 2: H and N variants for influenza influenza A, and this 18 00:00:56,560 --> 00:01:00,160 Speaker 2: is the H three N two that's the one that 19 00:01:00,720 --> 00:01:03,920 Speaker 2: has what we call antigenic drift. It means that the 20 00:01:04,000 --> 00:01:08,120 Speaker 2: antigens that that's what your antibodies attack, can drift a 21 00:01:08,120 --> 00:01:11,319 Speaker 2: little bit and change so that they evade the immune system. 22 00:01:11,400 --> 00:01:15,479 Speaker 2: That's why they are frequent causes of outbreaks, and that's 23 00:01:15,520 --> 00:01:18,319 Speaker 2: why the flu is so successful as an organism, you know, 24 00:01:18,400 --> 00:01:21,640 Speaker 2: to reproduce and be able to evade all of our defenses. 25 00:01:22,160 --> 00:01:26,839 Speaker 2: And in this case it's it wasn't in this flu shot, 26 00:01:27,200 --> 00:01:30,679 Speaker 2: this particular strain was not known. It wasn't it wasn't included, 27 00:01:31,040 --> 00:01:33,920 Speaker 2: but it still shows that the current in the UK, 28 00:01:33,959 --> 00:01:36,720 Speaker 2: they're shown that the current flu data is about seventy 29 00:01:36,760 --> 00:01:41,479 Speaker 2: five percent effective with that influenza vaccine for children and 30 00:01:41,880 --> 00:01:44,759 Speaker 2: about thirty to forty percent effective against this particular strain 31 00:01:44,840 --> 00:01:49,360 Speaker 2: for adults. It's still that's not bad protection, not horrible. 32 00:01:49,760 --> 00:01:53,080 Speaker 2: And the kids are the little They're like little concentrated 33 00:01:53,160 --> 00:01:56,160 Speaker 2: vectors that are putting this stuff out. They have higher 34 00:01:56,600 --> 00:02:00,880 Speaker 2: viral loads, they excrete more virus, and they do it 35 00:02:00,920 --> 00:02:05,320 Speaker 2: for longer than adults do. So really, children are the 36 00:02:05,360 --> 00:02:08,720 Speaker 2: little careers for this thing that get us all sick. 37 00:02:09,480 --> 00:02:14,480 Speaker 1: Now every year we talk about this and effectively what 38 00:02:15,160 --> 00:02:20,000 Speaker 1: medicine does. These flu baby factory vaccine manufacturers they kind 39 00:02:20,000 --> 00:02:23,520 Speaker 1: of guess which variant is coming down the pike, and 40 00:02:23,520 --> 00:02:26,680 Speaker 1: in anticipation of that, they create the vaccine. Do I 41 00:02:26,720 --> 00:02:27,200 Speaker 1: have that right? 42 00:02:28,400 --> 00:02:31,000 Speaker 2: Yeah, Yeah, so okay, they look in the southern hemisphere 43 00:02:31,040 --> 00:02:34,359 Speaker 2: because it's winter, you know, for us in the summer. 44 00:02:34,800 --> 00:02:38,360 Speaker 1: So it's something they if they guess right, then obviously 45 00:02:38,480 --> 00:02:41,600 Speaker 1: seventy eighty percent and it's a win. What if the 46 00:02:41,680 --> 00:02:48,120 Speaker 1: guess is just wrong, is a flu vaccine just not 47 00:02:48,240 --> 00:02:51,560 Speaker 1: helpful at all? Or you get some protection no matter what. 48 00:02:53,200 --> 00:02:56,880 Speaker 2: Yeah, so if they guess wrong, you do get less protection. 49 00:02:57,000 --> 00:03:00,240 Speaker 2: We get a bigger outbreak that you could are you 50 00:03:00,280 --> 00:03:02,920 Speaker 2: then in a bigger outbreak, maybe you know, that little 51 00:03:02,919 --> 00:03:05,919 Speaker 2: bit of protection is more important for you, especially if 52 00:03:05,960 --> 00:03:09,880 Speaker 2: you're one of the high risk groups like elderly, you know, 53 00:03:09,960 --> 00:03:14,720 Speaker 2: people with lung to these like emphysema, asthma, those type 54 00:03:14,760 --> 00:03:18,360 Speaker 2: of things, or young children. So you know, you do 55 00:03:18,440 --> 00:03:21,600 Speaker 2: get some benefit from it. It does reduce your chances 56 00:03:21,600 --> 00:03:24,959 Speaker 2: of being hospitalized or being you know, or dying from 57 00:03:24,960 --> 00:03:28,560 Speaker 2: it as well. And you know, you know, tens of 58 00:03:28,560 --> 00:03:31,800 Speaker 2: thousands of people die every year from this and are hospitalized. 59 00:03:31,840 --> 00:03:34,480 Speaker 2: And last year was a big year. It was a 60 00:03:34,600 --> 00:03:37,400 Speaker 2: record year for a people hospitalized for the flu. And 61 00:03:37,440 --> 00:03:41,240 Speaker 2: that was with a flu that was not something new. 62 00:03:41,240 --> 00:03:43,320 Speaker 2: It was the standard what we had seen in the past, 63 00:03:43,400 --> 00:03:46,600 Speaker 2: and the vaccine. It didn't seem quite as effective as 64 00:03:46,600 --> 00:03:49,560 Speaker 2: we hoped it would be because it was it really 65 00:03:49,640 --> 00:03:52,400 Speaker 2: wasn't a new variant at that point, So that this 66 00:03:52,480 --> 00:03:54,119 Speaker 2: year is going to be a tough year and they're 67 00:03:54,120 --> 00:03:57,680 Speaker 2: going to be looking at things like wastewater surveillance. COVID 68 00:03:57,720 --> 00:04:00,240 Speaker 2: gave us that, So now we're doing a lot better 69 00:04:00,320 --> 00:04:04,120 Speaker 2: job of surveillance and knowing we can now know that 70 00:04:04,120 --> 00:04:06,880 Speaker 2: that signal will elevate. You know, a week or two 71 00:04:06,920 --> 00:04:10,920 Speaker 2: before that everybody starts showing flu symptoms, so we'll have 72 00:04:10,960 --> 00:04:12,600 Speaker 2: some early warning. Now. 73 00:04:13,040 --> 00:04:16,080 Speaker 1: And you're thirty years in the er, I'm assuming you've 74 00:04:16,120 --> 00:04:19,719 Speaker 1: seen more than your share of people dying of the flu. 75 00:04:20,400 --> 00:04:21,480 Speaker 1: Do I have that right? 76 00:04:21,880 --> 00:04:24,680 Speaker 2: Yeah? But you know, thirty years ago people stayed home 77 00:04:24,720 --> 00:04:27,039 Speaker 2: and died. You know, it's just so now they go 78 00:04:27,080 --> 00:04:28,000 Speaker 2: to the er and die. 79 00:04:28,120 --> 00:04:29,680 Speaker 1: Hey, I have a question. You ever look at someone 80 00:04:29,720 --> 00:04:32,360 Speaker 1: who's just died on you and you say something like, hey, 81 00:04:32,400 --> 00:04:33,120 Speaker 1: better you than me? 82 00:04:34,160 --> 00:04:35,720 Speaker 2: Probably not never done that. 83 00:04:36,279 --> 00:04:40,279 Speaker 1: See, I wish i'd been a doctor, all right, Jim 84 00:04:40,640 --> 00:04:46,599 Speaker 1: and a depressants and teen sexual development? Yeah, let me 85 00:04:46,640 --> 00:04:50,880 Speaker 1: ask you questions. You know, aren't teens already pretty sexually developed? 86 00:04:51,920 --> 00:04:55,400 Speaker 2: Sexually. I mean no, yeah, no, no, no, because we're 87 00:04:55,400 --> 00:04:57,120 Speaker 2: talking about their brains. We're not talking about Oh. 88 00:04:57,360 --> 00:05:01,400 Speaker 1: Oh, I'm sorry because I when when I was a teenager, 89 00:05:01,600 --> 00:05:04,119 Speaker 1: I you know, I would have screwed a tree except 90 00:05:04,120 --> 00:05:08,680 Speaker 1: for the flint splinters a tree not so anyway, Oh, 91 00:05:08,680 --> 00:05:09,640 Speaker 1: we don't have to get into that. 92 00:05:11,839 --> 00:05:14,719 Speaker 2: Let's talk about to tell you please. Yeah. The issue 93 00:05:15,000 --> 00:05:18,080 Speaker 2: the issue here is that you know this, this hasn't 94 00:05:18,120 --> 00:05:21,640 Speaker 2: been studied very extensively in teens now. Number one, First, 95 00:05:21,680 --> 00:05:24,440 Speaker 2: I want to start by saying SSRI, like like prozac 96 00:05:24,520 --> 00:05:27,680 Speaker 2: and those type of things are life saving and they 97 00:05:27,680 --> 00:05:32,160 Speaker 2: are extremely safe, unlike a lot of the other medicines 98 00:05:32,200 --> 00:05:35,320 Speaker 2: we'd use to treat severe depression. That's probably lowered the 99 00:05:35,360 --> 00:05:38,240 Speaker 2: threshold though for people giving them out because they are 100 00:05:38,279 --> 00:05:41,400 Speaker 2: so safe. And there's a difference between a teen brain 101 00:05:41,520 --> 00:05:44,200 Speaker 2: and an adult brain. So when you're depressed as an 102 00:05:44,240 --> 00:05:47,159 Speaker 2: adult and you they are, they are literally stuck in 103 00:05:47,200 --> 00:05:51,080 Speaker 2: that depression. What happens is you stop, the neuroplasticity stops, 104 00:05:51,120 --> 00:05:55,000 Speaker 2: you stop making new synaptic connections and uh, and you 105 00:05:55,080 --> 00:05:57,680 Speaker 2: just kind of get stuck in a depression. That So 106 00:05:57,800 --> 00:06:02,400 Speaker 2: these work very well. What we call the neuroplastic you know, 107 00:06:02,440 --> 00:06:06,680 Speaker 2: the neurotropic hypothesis of depression. This is why when you 108 00:06:06,720 --> 00:06:10,159 Speaker 2: take prozac, it immediately elevates your serotonin, but it doesn't 109 00:06:10,160 --> 00:06:12,400 Speaker 2: work for like two to three weeks. That's because it 110 00:06:12,480 --> 00:06:16,320 Speaker 2: needs to, you know, increase connections. It needs to create 111 00:06:16,360 --> 00:06:20,680 Speaker 2: new neurons, increase synaptic connections, and it has to create 112 00:06:21,080 --> 00:06:25,520 Speaker 2: new memories and new processes in your brain. And that 113 00:06:25,600 --> 00:06:28,080 Speaker 2: works for an adult. But as a team that's already 114 00:06:28,120 --> 00:06:32,040 Speaker 2: happening to a very high degree. They already are extremely 115 00:06:32,600 --> 00:06:35,800 Speaker 2: you know, neotropic we call it. Their brain is growing, 116 00:06:36,160 --> 00:06:40,560 Speaker 2: they're they're pruning back certain connections, they're creating new connections, 117 00:06:40,920 --> 00:06:42,839 Speaker 2: and it's just going on at a very high level. 118 00:06:42,880 --> 00:06:45,200 Speaker 2: And now when you throw this monkey wrench in there 119 00:06:46,040 --> 00:06:49,800 Speaker 2: and you are affecting their their serotonin levels, which then 120 00:06:49,920 --> 00:06:54,440 Speaker 2: affect all those things. It's through a chemical called brain 121 00:06:54,560 --> 00:07:00,719 Speaker 2: derived neurotropic factor that's increased in this situation. We don't 122 00:07:00,800 --> 00:07:03,600 Speaker 2: really know what that does. Now. Again, I'm saying it 123 00:07:03,839 --> 00:07:07,240 Speaker 2: cautiously though, because so many teens have been helped by the. 124 00:07:07,200 --> 00:07:10,600 Speaker 1: Same Yes, so let me ask you this. The takeaway 125 00:07:10,600 --> 00:07:15,560 Speaker 1: for me is that you don't give out these psychotropic drugs. 126 00:07:15,600 --> 00:07:20,600 Speaker 1: The prose acts very lightly. It takes real depression and 127 00:07:20,920 --> 00:07:22,480 Speaker 1: where is that line? 128 00:07:22,920 --> 00:07:25,680 Speaker 2: Yeah, I mean you're you're on the right track exactly. 129 00:07:25,840 --> 00:07:29,400 Speaker 2: So you don't want to give it out for sadness, right, 130 00:07:29,440 --> 00:07:34,600 Speaker 2: that's normal human experience. We all get sad. Sometimes there's grieving, right, 131 00:07:34,600 --> 00:07:37,000 Speaker 2: we don't we agree. When you have a loss, you 132 00:07:37,080 --> 00:07:41,760 Speaker 2: have grief, and that's a normal human experience. But sometimes 133 00:07:41,800 --> 00:07:45,400 Speaker 2: grieving turns into a severe depression. And there's a definition 134 00:07:45,560 --> 00:07:49,760 Speaker 2: for you know, severe depression, and the doctors can identify 135 00:07:49,800 --> 00:07:52,400 Speaker 2: that and say, look, I mean, especially once people when 136 00:07:52,440 --> 00:07:55,520 Speaker 2: teens are feeling suicidal or so impulsive that they're at 137 00:07:55,640 --> 00:08:00,040 Speaker 2: risk for suicidal behavior, that's when this becomes life saving. 138 00:08:00,200 --> 00:08:04,200 Speaker 2: So it definitely takes a high threshold. And despite how 139 00:08:04,240 --> 00:08:07,920 Speaker 2: safe these drugs are, there's reason to really believe that 140 00:08:07,920 --> 00:08:11,640 Speaker 2: they are impacting because when you look at animal models, 141 00:08:11,680 --> 00:08:15,440 Speaker 2: for sure, they show that adolescent animals who are given 142 00:08:15,480 --> 00:08:21,680 Speaker 2: this have much less interest in sexual behaviors and that 143 00:08:21,720 --> 00:08:25,239 Speaker 2: type of thing. And that probably is a reflection of 144 00:08:25,280 --> 00:08:28,640 Speaker 2: your interest in in bonding and connection in general. So 145 00:08:28,720 --> 00:08:31,800 Speaker 2: what effect may this be having on the two million 146 00:08:31,880 --> 00:08:35,359 Speaker 2: teams that are taking the drug in the United States currently. 147 00:08:35,520 --> 00:08:39,800 Speaker 1: Okay, fair enough, Jim. We'll talk again next Wednesday. Love 148 00:08:40,120 --> 00:08:41,760 Speaker 1: and the Show with your stuff. 149 00:08:42,679 --> 00:08:43,480 Speaker 2: Talk to you. Take care,