1 00:00:00,080 --> 00:00:03,880 Speaker 1: It is time for our medical segment, which we do 2 00:00:04,040 --> 00:00:09,000 Speaker 1: every Wednesday with doctor Jim Keeney, Chief Medical Officers for 3 00:00:09,400 --> 00:00:12,639 Speaker 1: Officer for Dignity Saint Mary Medical Center in Long Beach. 4 00:00:13,280 --> 00:00:17,360 Speaker 2: Good morning Jim, Good morning Bill. Haven't talked in a while. 5 00:00:18,200 --> 00:00:22,240 Speaker 1: Gone with on vacation and I was on a cruise 6 00:00:22,239 --> 00:00:24,520 Speaker 1: ship and I was hoping that some people were going 7 00:00:24,560 --> 00:00:28,480 Speaker 1: to get into nova virus or they were gonna get 8 00:00:28,480 --> 00:00:29,120 Speaker 1: COVID and die. 9 00:00:29,160 --> 00:00:30,840 Speaker 2: But nothing, just nothing. 10 00:00:31,880 --> 00:00:34,800 Speaker 3: Wow. Yeah, well that sounds like a good vacation. 11 00:00:34,880 --> 00:00:36,320 Speaker 2: Then yeah, well on it what Yeah? 12 00:00:36,360 --> 00:00:39,160 Speaker 1: And in front of this is something that's fairly new 13 00:00:39,280 --> 00:00:44,199 Speaker 1: in front of every eating establishment. Uh, there is a 14 00:00:44,240 --> 00:00:49,040 Speaker 1: little sanitation uh you know, purel little station and man, 15 00:00:49,080 --> 00:00:50,280 Speaker 1: they push it really hard. 16 00:00:51,040 --> 00:00:52,960 Speaker 2: So maybe that seems to be the answer. 17 00:00:53,040 --> 00:00:57,680 Speaker 1: Okay, talking about COVID, All right, can nasal spray. 18 00:00:58,160 --> 00:01:00,440 Speaker 2: Protect you from COVID? Let's talk about that moment. 19 00:01:01,760 --> 00:01:04,120 Speaker 3: Sure. So there are a couple of naval sprays being 20 00:01:04,160 --> 00:01:08,160 Speaker 3: developed that would block COVID in different ways. Right, So 21 00:01:08,200 --> 00:01:11,840 Speaker 3: there's one that kind of creates this coating. They call 22 00:01:11,920 --> 00:01:16,200 Speaker 3: it pathogen capture and neutralization spray, and it coats the 23 00:01:16,280 --> 00:01:19,920 Speaker 3: nasal passages to trap viruses and bacteria before they can 24 00:01:19,959 --> 00:01:22,840 Speaker 3: reach yoursels. So you know a lot of times the 25 00:01:23,840 --> 00:01:26,240 Speaker 3: virus comes in through your nose or even more commonly 26 00:01:26,280 --> 00:01:29,080 Speaker 3: probably through your eyes, and then your tears carry it 27 00:01:29,120 --> 00:01:32,640 Speaker 3: down into your nose and it gets absorbed and then 28 00:01:32,880 --> 00:01:35,360 Speaker 3: that's how it gets into your body. So this would 29 00:01:35,440 --> 00:01:40,480 Speaker 3: block that. The second spray is is already an anti 30 00:01:40,520 --> 00:01:44,959 Speaker 3: histamine on the market, Zalestine, and it's an antihistamine spray, 31 00:01:45,360 --> 00:01:48,960 Speaker 3: but they're looking at right now phase two human clinical trials, 32 00:01:49,040 --> 00:01:52,280 Speaker 3: and that seems to block the way, you know, the mechanism. 33 00:01:52,360 --> 00:01:56,280 Speaker 3: Remember there was that area that the virus attaches and 34 00:01:57,080 --> 00:01:59,840 Speaker 3: it's a receptor and this thing blocks that receptor. 35 00:02:00,560 --> 00:02:06,160 Speaker 2: Hey excuse me, Oh well, I don't know what just happened. 36 00:02:06,480 --> 00:02:10,280 Speaker 1: Are you familiar with the political aspects of this, and 37 00:02:10,320 --> 00:02:12,480 Speaker 1: I know that's not your wheelhouse, but I don't know 38 00:02:12,480 --> 00:02:15,720 Speaker 1: if you've heard buzz throughout the medical world, and that 39 00:02:15,960 --> 00:02:22,720 Speaker 1: is the anti vaxxers dealing with this as opposed to vaccine. 40 00:02:22,760 --> 00:02:25,200 Speaker 1: Is there enough of a difference that it can be 41 00:02:25,320 --> 00:02:28,200 Speaker 1: argued this isn't even close to a vaccine, so even 42 00:02:28,200 --> 00:02:29,040 Speaker 1: don't worry about it. 43 00:02:29,320 --> 00:02:30,200 Speaker 2: Your thoughts on that. 44 00:02:31,400 --> 00:02:33,240 Speaker 3: Yeah, I mean the sense the studies aren't done. We 45 00:02:33,280 --> 00:02:36,200 Speaker 3: really don't know yet. So right now, vaccines are the 46 00:02:36,240 --> 00:02:40,520 Speaker 3: strongest defense against you know, getting severe COVID or long COVID. 47 00:02:41,480 --> 00:02:44,440 Speaker 3: It doesn't necessarily stop you one hundred percent from getting COVID, 48 00:02:44,760 --> 00:02:48,040 Speaker 3: but it does improve the outcomes. And then you know this, 49 00:02:48,520 --> 00:02:51,600 Speaker 3: HI would compare more to masking. Right this is blocking 50 00:02:51,760 --> 00:02:55,160 Speaker 3: the virus from getting into your body. And right now 51 00:02:55,200 --> 00:02:58,480 Speaker 3: we know that the masking works in especially in crowded 52 00:02:58,560 --> 00:03:01,880 Speaker 3: environments to reduce your risks. So people who are at 53 00:03:01,919 --> 00:03:03,760 Speaker 3: high risk and they don't have a choice and they 54 00:03:03,760 --> 00:03:06,160 Speaker 3: have to go shopping or you know, go to a 55 00:03:06,240 --> 00:03:08,799 Speaker 3: doctor's appointment and take the bus or something like that, 56 00:03:09,120 --> 00:03:12,360 Speaker 3: they need a way to protect themselves. At masks right 57 00:03:12,440 --> 00:03:15,600 Speaker 3: now as their best bet. But these sprays could be 58 00:03:15,639 --> 00:03:16,399 Speaker 3: an alternative. 59 00:03:17,040 --> 00:03:19,959 Speaker 1: Yeah, we see very few masks, and it's always Asians 60 00:03:20,000 --> 00:03:20,840 Speaker 1: who wear masks. 61 00:03:20,880 --> 00:03:22,000 Speaker 2: I don't know if you've noticed that. 62 00:03:23,480 --> 00:03:27,640 Speaker 1: There must be some cultural thing about masking, but I 63 00:03:27,680 --> 00:03:31,160 Speaker 1: noticed that it's going down, down, down. I just got 64 00:03:31,240 --> 00:03:34,160 Speaker 1: my COVID shot and my flu shot because I get 65 00:03:34,880 --> 00:03:36,920 Speaker 1: every vaccine under the planet. 66 00:03:37,560 --> 00:03:39,680 Speaker 2: And now you and I have talked about this. 67 00:03:39,640 --> 00:03:42,880 Speaker 1: Because you you actually contracted COVID? 68 00:03:42,960 --> 00:03:45,480 Speaker 2: What eight times? Do I have that right? 69 00:03:45,560 --> 00:03:50,920 Speaker 3: Yeah? Yeah, yeah, eight times and got four vaccines. So again, 70 00:03:51,840 --> 00:03:55,200 Speaker 3: you know, everybody can say, well, okay, i'll see a 71 00:03:55,200 --> 00:03:58,120 Speaker 3: COVID vaccine doesn't work. You got COVID eight times. But 72 00:03:58,360 --> 00:04:00,880 Speaker 3: I never was hospitalized. I never really missed a lot 73 00:04:00,880 --> 00:04:04,200 Speaker 3: of work. I usually was back. The longest one, which 74 00:04:04,280 --> 00:04:08,120 Speaker 3: was the most severe one, probably a week I was 75 00:04:08,800 --> 00:04:11,160 Speaker 3: sick and then I was better. Most of them was 76 00:04:11,200 --> 00:04:13,720 Speaker 3: two to three days. But yeah, I don't know, you know. 77 00:04:13,760 --> 00:04:15,040 Speaker 3: And so, like I said, I talked to it and 78 00:04:15,040 --> 00:04:17,880 Speaker 3: it'fect to these specialists and he said, well, obviously you 79 00:04:17,920 --> 00:04:20,600 Speaker 3: know you're getting you're not getting the protection completely from 80 00:04:20,640 --> 00:04:23,080 Speaker 3: this vaccine. So it's really up to you as to 81 00:04:23,120 --> 00:04:26,680 Speaker 3: whether you want to continue getting boosters. But you know, 82 00:04:26,960 --> 00:04:29,120 Speaker 3: I feel like I gave it so often now I'm 83 00:04:29,120 --> 00:04:31,440 Speaker 3: getting boosted every time I get the infection. 84 00:04:33,480 --> 00:04:35,640 Speaker 2: Are you concerned about long COVID at all? 85 00:04:35,760 --> 00:04:39,720 Speaker 1: And with would that help you make up your mind 86 00:04:39,760 --> 00:04:42,520 Speaker 1: about COVID shots? 87 00:04:42,920 --> 00:04:45,600 Speaker 3: Yeah, I mean no, I'm definitely concerned about long COVID. 88 00:04:45,640 --> 00:04:47,720 Speaker 3: It seems like a high percentage of people have it, 89 00:04:47,839 --> 00:04:53,200 Speaker 3: and you know, so but again I've had four vaccines, 90 00:04:53,360 --> 00:04:56,159 Speaker 3: so in a way, I'm somewhat vaccinated now that the 91 00:04:56,200 --> 00:04:59,640 Speaker 3: boosters are just to try and remind your immune system, 92 00:05:00,080 --> 00:05:02,599 Speaker 3: and like I said, my impian system seems to be 93 00:05:02,600 --> 00:05:05,920 Speaker 3: getting reminded every you know, every twelve months or so, 94 00:05:05,920 --> 00:05:11,479 Speaker 3: so the booster seems irrelevant in my case. But like 95 00:05:11,520 --> 00:05:13,320 Speaker 3: I said, that's why people should go talk to their 96 00:05:13,360 --> 00:05:16,919 Speaker 3: doctor make their own individual recommendations. I'm still happy I 97 00:05:16,960 --> 00:05:21,200 Speaker 3: got the shot and the three boosters, but and I'd 98 00:05:21,240 --> 00:05:22,800 Speaker 3: do it again if I was going to start all 99 00:05:22,839 --> 00:05:26,279 Speaker 3: over again. But at this point, it just doesn't seem 100 00:05:26,279 --> 00:05:28,440 Speaker 3: to make sense for me. If you know, maybe if 101 00:05:28,480 --> 00:05:31,599 Speaker 3: I went two or three years with no with no COVID, 102 00:05:31,640 --> 00:05:33,160 Speaker 3: I would say, all right, you know what, I haven't 103 00:05:33,160 --> 00:05:35,560 Speaker 3: had COVID for three years, I'd better get a booster. 104 00:05:36,000 --> 00:05:38,960 Speaker 2: Interesting. And is that because of the time you spent 105 00:05:39,040 --> 00:05:39,839 Speaker 2: in the er? 106 00:05:41,480 --> 00:05:44,400 Speaker 3: I think so? Yeah. I mean we were getting exposed constantly. 107 00:05:44,440 --> 00:05:46,279 Speaker 3: You know, you try your best, Yeah, you do what 108 00:05:46,320 --> 00:05:49,039 Speaker 3: you can, but it's so busy it's just hard not 109 00:05:49,120 --> 00:05:51,480 Speaker 3: to get exposed. And then you know, you walk into 110 00:05:51,480 --> 00:05:54,599 Speaker 3: a room for somebody that has a broken toe, and 111 00:05:55,000 --> 00:05:57,120 Speaker 3: you know, you think, okay, it's probably safe here and 112 00:05:57,160 --> 00:05:59,840 Speaker 3: they start hacking up along and that happens all the time, 113 00:06:00,040 --> 00:06:01,760 Speaker 3: so it's just part of the job. 114 00:06:02,200 --> 00:06:04,679 Speaker 2: You could pretend you're Asian at Costco and wear a mask. 115 00:06:05,600 --> 00:06:06,040 Speaker 2: That works. 116 00:06:06,080 --> 00:06:08,000 Speaker 3: Well, I did I always wear a mask? 117 00:06:08,080 --> 00:06:08,359 Speaker 1: Yeah? 118 00:06:09,279 --> 00:06:10,839 Speaker 3: Well not in it, you're right. I mean if I 119 00:06:10,880 --> 00:06:13,960 Speaker 3: walked into somebody with no symptoms and then you know 120 00:06:14,360 --> 00:06:17,359 Speaker 3: you're right, sometimes I wouldn't wear a mask, Jim. 121 00:06:18,200 --> 00:06:21,120 Speaker 1: Ninety percent of heart disease cases have a risk factor 122 00:06:21,160 --> 00:06:23,799 Speaker 1: that we can actually address, we can do something about 123 00:06:24,560 --> 00:06:27,480 Speaker 1: before the heart disease or the heart attack hits. 124 00:06:27,720 --> 00:06:29,200 Speaker 2: You want to share that information with. 125 00:06:29,200 --> 00:06:33,839 Speaker 3: Us, sure, And I'll tell you this is a surprising 126 00:06:33,880 --> 00:06:37,479 Speaker 3: study because we've had some pretty good earlier studies, the 127 00:06:37,520 --> 00:06:41,120 Speaker 3: Framingham study, one called inter Heart that had thirty thousand 128 00:06:41,200 --> 00:06:44,680 Speaker 3: patients across fifty two countries, and what those showed is 129 00:06:44,720 --> 00:06:48,200 Speaker 3: about ten to twenty percent have no risk factors when 130 00:06:48,200 --> 00:06:51,080 Speaker 3: they have a heart attack. So we always walked around saying, look, 131 00:06:51,120 --> 00:06:53,719 Speaker 3: you got to be aware, you could have even you 132 00:06:53,720 --> 00:06:56,480 Speaker 3: have no risk factors, you could have a heart attack. Well, 133 00:06:56,520 --> 00:06:58,680 Speaker 3: it turns out this kind of puts a finer point 134 00:06:58,760 --> 00:07:01,200 Speaker 3: on that number. One I should tell you about the study. 135 00:07:01,240 --> 00:07:04,800 Speaker 3: It was done mostly with Korean patients, six hundred thousand 136 00:07:04,920 --> 00:07:08,599 Speaker 3: Korean patients, and that's because the ability of big data. 137 00:07:08,720 --> 00:07:11,360 Speaker 3: You know, they don't have the same hip hop protections, 138 00:07:11,600 --> 00:07:14,520 Speaker 3: so they can look across, you know, the entire country 139 00:07:14,760 --> 00:07:18,240 Speaker 3: and get data where we don't have that ability in 140 00:07:18,280 --> 00:07:21,080 Speaker 3: the United States. So there's one thousand patients from the 141 00:07:21,160 --> 00:07:23,560 Speaker 3: US and six hundred thousand from Korea. So this is 142 00:07:23,560 --> 00:07:27,600 Speaker 3: basically a Korean study. And what they looked at was 143 00:07:27,600 --> 00:07:29,480 Speaker 3: they said, look, we're not just going to look for 144 00:07:29,520 --> 00:07:33,360 Speaker 3: the diagnosis the doctor actually calls it diabetes or high 145 00:07:33,360 --> 00:07:35,560 Speaker 3: blood pressure. We're going to look for your whole medical 146 00:07:35,600 --> 00:07:37,720 Speaker 3: record and see if you have high blood pressure or 147 00:07:37,720 --> 00:07:40,840 Speaker 3: see if you have diabetes or elevated blood sugars. So 148 00:07:40,880 --> 00:07:44,000 Speaker 3: it didn't depend on the diagnosis. And what this found 149 00:07:44,240 --> 00:07:46,720 Speaker 3: was that when you do that, then you're going to 150 00:07:46,800 --> 00:07:49,680 Speaker 3: find that that ninety nine percent of people have either 151 00:07:49,760 --> 00:07:54,840 Speaker 3: high blood pressure, high cholesterol, diabetes, or pre diabetes. And 152 00:07:55,240 --> 00:07:57,560 Speaker 3: so they do actually have risk factors, and maybe those 153 00:07:57,840 --> 00:08:01,080 Speaker 3: those very minimal. So maybe the doctor ignored it because 154 00:08:01,160 --> 00:08:03,800 Speaker 3: their blood pressure wasn't too high or their cholesterol wasn't 155 00:08:03,800 --> 00:08:07,720 Speaker 3: that high, but even these minimal elevations seem to contribute 156 00:08:07,840 --> 00:08:10,080 Speaker 3: to being at risk for heart disease. 157 00:08:10,720 --> 00:08:14,840 Speaker 1: Is there any i issue as to Asian cultures in Japanese? 158 00:08:14,920 --> 00:08:20,800 Speaker 1: We heard about the Japanese studies where lifestyle and diet 159 00:08:21,360 --> 00:08:25,960 Speaker 1: changes them in terms of their percentage of heart disease, cancers, etc. 160 00:08:26,280 --> 00:08:29,120 Speaker 1: Simply because they are like you know, the commercials for 161 00:08:29,160 --> 00:08:31,840 Speaker 1: that yogurt company where you had this village in the 162 00:08:31,920 --> 00:08:33,439 Speaker 1: Carpathian Mountains where. 163 00:08:33,240 --> 00:08:37,160 Speaker 2: Everybody lived to be two hundred years old. Do they 164 00:08:37,200 --> 00:08:38,679 Speaker 2: take that into effect? 165 00:08:40,200 --> 00:08:42,480 Speaker 3: I mean in this study, they did not take that 166 00:08:42,520 --> 00:08:44,480 Speaker 3: into effect. What they were looking at the endpoint was 167 00:08:44,520 --> 00:08:46,679 Speaker 3: did you have a heart attack or didn't you? And 168 00:08:46,800 --> 00:08:48,960 Speaker 3: so these are people who did have a heart attack. 169 00:08:49,440 --> 00:08:52,480 Speaker 3: But you're right, I mean there are Asian cultures like 170 00:08:52,520 --> 00:08:55,280 Speaker 3: Japan where the heart attack rate is much lower than 171 00:08:55,280 --> 00:08:57,400 Speaker 3: it is in the US. And that's you know, we 172 00:08:57,400 --> 00:09:00,800 Speaker 3: can call that a weakness for the study. Is you know, 173 00:09:01,760 --> 00:09:04,400 Speaker 3: is it does it apply to the US as much 174 00:09:04,400 --> 00:09:08,839 Speaker 3: as it applies to Koreans, because you know, we do 175 00:09:08,880 --> 00:09:11,960 Speaker 3: have it's a it's a different gene pool overall, and 176 00:09:12,400 --> 00:09:15,600 Speaker 3: a different environment and other different factors. So it definitely 177 00:09:15,640 --> 00:09:17,560 Speaker 3: a weakness of the study, but at the same time 178 00:09:17,760 --> 00:09:21,719 Speaker 3: interesting study because it's a high power as far as 179 00:09:21,720 --> 00:09:24,240 Speaker 3: the number of patients that they looked at. Still an 180 00:09:24,280 --> 00:09:28,200 Speaker 3: observational study, meaning you're going into the data and observing it. 181 00:09:28,240 --> 00:09:31,480 Speaker 3: You're not actually doing a prospective study where you predict 182 00:09:31,720 --> 00:09:34,800 Speaker 3: what might happen and you change that one variable on 183 00:09:34,840 --> 00:09:36,800 Speaker 3: the person and you see if it happens. That's the 184 00:09:36,800 --> 00:09:39,320 Speaker 3: best study this is. This is observational, but at the 185 00:09:39,320 --> 00:09:42,000 Speaker 3: same time, you know, a very powerful study and in 186 00:09:42,080 --> 00:09:45,160 Speaker 3: contradiction to those previous studies that show that, hey, you 187 00:09:45,160 --> 00:09:47,160 Speaker 3: could have a heart attack without any risk factors. 188 00:09:47,280 --> 00:09:50,679 Speaker 1: Yeah, in terms of studying genes in Asian cultures, they 189 00:09:50,760 --> 00:09:53,760 Speaker 1: don't have a whole lot of immigration, you know, relative 190 00:09:53,800 --> 00:09:56,960 Speaker 1: to Western culture, relative the United States where we're one 191 00:09:57,080 --> 00:10:01,080 Speaker 1: huge melting plot. Does that skew studies when you have 192 00:10:01,840 --> 00:10:06,600 Speaker 1: a specific population that just doesn't do a lot of mixing. 193 00:10:07,840 --> 00:10:11,439 Speaker 3: Yeah. Absolutely. So that's why where they do the study 194 00:10:11,520 --> 00:10:13,920 Speaker 3: is important. And even within the US, I mean, we 195 00:10:14,000 --> 00:10:16,360 Speaker 3: have so many different cultures here in so many different 196 00:10:16,600 --> 00:10:20,640 Speaker 3: ways that people you know, eat or live or their 197 00:10:20,679 --> 00:10:23,959 Speaker 3: activity levels. You know, it's much different. I would imagine 198 00:10:24,000 --> 00:10:26,760 Speaker 3: in Minnesota, in the winter than it is in Florida. 199 00:10:27,240 --> 00:10:29,920 Speaker 3: So you know, even within the US, you got to 200 00:10:29,960 --> 00:10:32,800 Speaker 3: look at where these patients came from. Was there a 201 00:10:32,800 --> 00:10:36,280 Speaker 3: good diverse mix. There's a lot that goes into analyzing 202 00:10:36,320 --> 00:10:40,040 Speaker 3: a study deciding does that the results from this study 203 00:10:40,120 --> 00:10:42,840 Speaker 3: really apply to my patients? Does it really apply to me? 204 00:10:43,600 --> 00:10:43,920 Speaker 2: Okay? 205 00:10:44,880 --> 00:10:48,280 Speaker 1: Jim, chief medical officer for Dignity Saint Mary Medical Center 206 00:10:48,360 --> 00:10:50,440 Speaker 1: in Long Beach. I we'll catch you again next week, 207 00:10:50,480 --> 00:10:53,200 Speaker 1: probably talk over the weekend too, So Jim, as always, 208 00:10:53,400 --> 00:10:56,679 Speaker 1: I say goodbye and go kill someone, Okay, Okay, right, 209 00:10:56,760 --> 00:10:59,320 Speaker 1: take care Bill always. Always, by the way, that's how 210 00:10:59,360 --> 00:11:03,120 Speaker 1: I end conversations. When we talk on the phone and 211 00:11:03,520 --> 00:11:05,560 Speaker 1: we see each other and we'll have meals together. I 212 00:11:05,600 --> 00:11:09,520 Speaker 1: hang out with Jim, and that's you know, goodbye, James. 213 00:11:09,720 --> 00:11:11,480 Speaker 2: Enough you say the same thing to me when we 214 00:11:11,480 --> 00:11:14,480 Speaker 2: get off the phone. No, no, because you're already doing it. Okay, 215 00:11:14,520 --> 00:11:15,480 Speaker 2: because yeah,