WEBVTT - Having Had a Covid Infection Could Make You More Likely to Develop Type 2 Diabetes

0:00:00.080 --> 0:00:04.200
<v Speaker 1>It's Thursday, March. I'm Oscar Ramiras from the Daily Dive

0:00:04.320 --> 0:00:08.760
<v Speaker 1>podcast in Los Angeles, and this is reopening America. According

0:00:08.800 --> 0:00:11.560
<v Speaker 1>to a review of patient data, people who had COVID

0:00:11.640 --> 0:00:14.160
<v Speaker 1>nineteen were at a greater risk of developing type two

0:00:14.160 --> 0:00:17.520
<v Speaker 1>diabetes than those who avoided getting sick. Looking at the

0:00:17.560 --> 0:00:21.160
<v Speaker 1>records of over one eighty thousand v A patients, researchers

0:00:21.239 --> 0:00:24.720
<v Speaker 1>calculated that those that got COVID were more likely to

0:00:24.760 --> 0:00:27.600
<v Speaker 1>be diagnosed with diabetes for the first time or prescribed

0:00:27.640 --> 0:00:32.240
<v Speaker 1>medication and control blood sugar. Lenny Bernstein Health and Medicine

0:00:32.240 --> 0:00:35.000
<v Speaker 1>Report at the Washington Post joins us for more. Thanks

0:00:35.040 --> 0:00:38.479
<v Speaker 1>for joining us, Lenny, Oh, thanks for having me. Well. Uh,

0:00:38.520 --> 0:00:42.280
<v Speaker 1>an interesting thing, uh, with regards to COVID and diabetes.

0:00:42.320 --> 0:00:45.080
<v Speaker 1>You know, for a long time when COVID was happening,

0:00:45.600 --> 0:00:49.000
<v Speaker 1>everybody was obviously concerned very much with the current illness,

0:00:49.120 --> 0:00:51.240
<v Speaker 1>but there was also a lot of being made about

0:00:51.320 --> 0:00:54.080
<v Speaker 1>what kind of future ailments could be caused as a

0:00:54.120 --> 0:00:55.840
<v Speaker 1>result of it. Or you know a lot of people

0:00:55.840 --> 0:01:00.040
<v Speaker 1>that had long COVID just suffering continual symptoms. And this

0:01:00.160 --> 0:01:03.240
<v Speaker 1>new study that came out shows that people that had

0:01:03.240 --> 0:01:06.320
<v Speaker 1>a COVID infection. It was associated with the greater likelihood

0:01:06.319 --> 0:01:09.720
<v Speaker 1>of developing type two diabetes. This is true for people

0:01:09.720 --> 0:01:13.600
<v Speaker 1>who had severe illness or mild or asymptomatic cases. So

0:01:14.080 --> 0:01:16.320
<v Speaker 1>let me tell us a little bit about this. Yeah,

0:01:16.360 --> 0:01:17.880
<v Speaker 1>I think you put your finger right on it at

0:01:17.920 --> 0:01:21.520
<v Speaker 1>the very beginning. You know, we hopefully are putting COVID

0:01:21.600 --> 0:01:23.560
<v Speaker 1>a little bit in our rear view mirror. We're going

0:01:23.600 --> 0:01:26.039
<v Speaker 1>to have some more surges, but a little bit behind us,

0:01:26.160 --> 0:01:30.920
<v Speaker 1>and attention is turning towards long COVID. That's people who

0:01:30.920 --> 0:01:34.880
<v Speaker 1>have suffered it beyond the thirty days or three months,

0:01:34.880 --> 0:01:37.880
<v Speaker 1>depending on who you ask, and then some of the

0:01:37.920 --> 0:01:41.280
<v Speaker 1>fallout from having had the virus. In this case, they

0:01:41.319 --> 0:01:44.280
<v Speaker 1>did us look at very large numbers of v A

0:01:44.400 --> 0:01:47.960
<v Speaker 1>patients and they found that anybody who was infected had

0:01:48.000 --> 0:01:51.800
<v Speaker 1>a about a forty six percent chance greater chance of

0:01:51.840 --> 0:01:56.000
<v Speaker 1>developing type two diabetes or having to go on blood

0:01:56.120 --> 0:01:59.840
<v Speaker 1>sugar control medication than people who did not get infected.

0:02:00.120 --> 0:02:03.840
<v Speaker 1>You know, that's worrisome. That's worrisome for your long COVID patients.

0:02:03.840 --> 0:02:06.440
<v Speaker 1>That's worrisome for the average person who just might have

0:02:06.480 --> 0:02:09.960
<v Speaker 1>had a mild case. Eighty million Americans have had COVID,

0:02:10.000 --> 0:02:12.440
<v Speaker 1>and four hundred and seventy million people around the world

0:02:12.480 --> 0:02:15.160
<v Speaker 1>have had COVID, So even a small percentage that I

0:02:15.240 --> 0:02:17.799
<v Speaker 1>was developing Type two diabetes is going to be a

0:02:17.919 --> 0:02:20.440
<v Speaker 1>very large surge of that disease. Tell me a little

0:02:20.480 --> 0:02:23.000
<v Speaker 1>bit more about the study, because there was a large

0:02:23.080 --> 0:02:25.480
<v Speaker 1>number of v A patients that they looked at, how

0:02:25.520 --> 0:02:27.880
<v Speaker 1>they cross reference it with people that didn't get COVID,

0:02:28.000 --> 0:02:31.799
<v Speaker 1>Just so people can kind of understand the process, right,

0:02:31.919 --> 0:02:34.440
<v Speaker 1>This isn't a randomized controlled study where you, you know,

0:02:34.480 --> 0:02:36.880
<v Speaker 1>set out to study, you set up one group as

0:02:36.880 --> 0:02:38.880
<v Speaker 1>a control on another group as the group that you're

0:02:38.880 --> 0:02:42.160
<v Speaker 1>going to study. This was a retrospective. So they looked

0:02:42.200 --> 0:02:45.359
<v Speaker 1>at a hundred and eighty thousand people who got COVID

0:02:45.680 --> 0:02:51.359
<v Speaker 1>that was from March to September one, and then they

0:02:51.400 --> 0:02:54.520
<v Speaker 1>looked at for over four million who didn't get COVID

0:02:54.919 --> 0:02:57.320
<v Speaker 1>during the same period and they compared them and then

0:02:57.400 --> 0:03:00.480
<v Speaker 1>just to make sure that there their numbers were good,

0:03:00.560 --> 0:03:03.680
<v Speaker 1>they also looked at a little over four million people

0:03:04.080 --> 0:03:07.040
<v Speaker 1>from before the pandemic who got v A care who

0:03:07.040 --> 0:03:10.840
<v Speaker 1>were similar demographically, but they didn't get COVID. Obviously, it

0:03:10.919 --> 0:03:13.800
<v Speaker 1>was before the pandemic, and you know, there was a

0:03:13.919 --> 0:03:19.520
<v Speaker 1>very clear association among the people who got COVID and

0:03:19.600 --> 0:03:22.400
<v Speaker 1>type two diabetes. Now, you can never claim in this

0:03:22.520 --> 0:03:25.880
<v Speaker 1>kind of study cause and effect, but the numbers were

0:03:25.919 --> 0:03:29.720
<v Speaker 1>so large that the researcher is very confident in the association.

0:03:30.040 --> 0:03:33.160
<v Speaker 1>So the advice to people that have gotten COVID is

0:03:33.280 --> 0:03:35.760
<v Speaker 1>you should start paying attention to your blood sugar now.

0:03:35.800 --> 0:03:37.960
<v Speaker 1>And you know, we're talking about this kind of after

0:03:38.080 --> 0:03:41.040
<v Speaker 1>effects of what happens after getting ill with this. You know,

0:03:41.120 --> 0:03:44.040
<v Speaker 1>now it could be a concern for some There was also,

0:03:44.520 --> 0:03:46.480
<v Speaker 1>I guess a little bit in some of this research

0:03:46.520 --> 0:03:48.880
<v Speaker 1>said that it could be triggering a new type of

0:03:48.920 --> 0:03:53.000
<v Speaker 1>diabetes where certain cells start to raise blood sugar rather

0:03:53.080 --> 0:03:55.440
<v Speaker 1>than lower it. You know, I don't know how much

0:03:55.480 --> 0:03:58.520
<v Speaker 1>they know about that specifically, but more stuff that they

0:03:58.520 --> 0:04:01.520
<v Speaker 1>have to look into. With all of this, and throughout

0:04:01.520 --> 0:04:03.720
<v Speaker 1>all of this, you know, the people start thinking, well,

0:04:03.720 --> 0:04:06.640
<v Speaker 1>what's causing it? Exactly? It's another key culprit in a

0:04:06.640 --> 0:04:11.800
<v Speaker 1>lot of COVID stuff, inflammation they suspect exactly, right, inflammation.

0:04:12.120 --> 0:04:15.480
<v Speaker 1>It doesn't appear in this case that the COVID virus

0:04:15.560 --> 0:04:19.760
<v Speaker 1>is actually destroying the insulin producing beta cells that are

0:04:19.800 --> 0:04:22.559
<v Speaker 1>in the pancreas, because if that happened, you'd be getting

0:04:22.560 --> 0:04:25.520
<v Speaker 1>a lot more type one diabetes, and in this case

0:04:25.560 --> 0:04:29.159
<v Speaker 1>they found it was over type two. So these cells

0:04:29.200 --> 0:04:31.880
<v Speaker 1>are not working as well as they can, they're not

0:04:31.920 --> 0:04:35.680
<v Speaker 1>producing the hormone insulin as efficiently as they should, so

0:04:35.880 --> 0:04:39.360
<v Speaker 1>they're guessing they don't know that the culprit is inflammation

0:04:39.440 --> 0:04:42.040
<v Speaker 1>either caused by the virus or, as we've seen so

0:04:42.040 --> 0:04:44.960
<v Speaker 1>many times before, in this pandemic, caused by the body's

0:04:45.040 --> 0:04:49.440
<v Speaker 1>own reaction to the virus. The immune system and the

0:04:49.520 --> 0:04:52.520
<v Speaker 1>cells that we produced to go after the virus, they

0:04:52.560 --> 0:04:57.440
<v Speaker 1>also have an unintended consequence of harming the insulin producing

0:04:57.480 --> 0:05:01.599
<v Speaker 1>cells in the pancreas and therefore creating two diabetes. Do

0:05:01.680 --> 0:05:05.400
<v Speaker 1>we know, if any, what kind of strain of covid

0:05:05.440 --> 0:05:07.719
<v Speaker 1>this might have been, because obviously right now O macron

0:05:07.720 --> 0:05:10.760
<v Speaker 1>has been circulating so much more, and we hear anecdotally

0:05:10.839 --> 0:05:12.920
<v Speaker 1>right that it is a lot more of a milder

0:05:13.240 --> 0:05:15.800
<v Speaker 1>case that a lot of people experience. You've mentioned this

0:05:15.839 --> 0:05:18.040
<v Speaker 1>was done kind of so that was in and the

0:05:18.040 --> 0:05:20.039
<v Speaker 1>height of it, probably not a lot of people were

0:05:20.320 --> 0:05:22.839
<v Speaker 1>vaccinated everything, so they were getting the full force of COVID.

0:05:23.040 --> 0:05:25.760
<v Speaker 1>But do we know strains by any chance with this,

0:05:26.520 --> 0:05:28.680
<v Speaker 1>So it couldn't be a Macron because they went from

0:05:28.720 --> 0:05:34.680
<v Speaker 1>March September, so that would take us basically through every

0:05:34.800 --> 0:05:38.200
<v Speaker 1>strain up to and including Delta. Those were the ones

0:05:38.800 --> 0:05:42.320
<v Speaker 1>that were part of this study. O Macron, if you recall,

0:05:42.400 --> 0:05:46.320
<v Speaker 1>didn't come out until roughly around Thanksgiving of last year.

0:05:46.600 --> 0:05:50.440
<v Speaker 1>And yes, it was more mild, although it was so

0:05:50.520 --> 0:05:54.520
<v Speaker 1>contagious that it put it infected way more people than

0:05:54.560 --> 0:06:00.120
<v Speaker 1>any previous trade. So this study, by including all the

0:06:00.160 --> 0:06:04.080
<v Speaker 1>other strains is pretty comprehensive. It shows you that pretty

0:06:04.160 --> 0:06:08.920
<v Speaker 1>much any strain of the coronavirus can have this effect,

0:06:09.440 --> 0:06:13.800
<v Speaker 1>excluding O Macron. Well, just another thing to keep in mind,

0:06:14.000 --> 0:06:16.600
<v Speaker 1>you know, if you have had COVID, obviously you gotta

0:06:16.800 --> 0:06:20.039
<v Speaker 1>have to continually monitor your health. But just another correlation

0:06:20.080 --> 0:06:23.560
<v Speaker 1>that researchers are starting to connect the dots with. But

0:06:23.880 --> 0:06:26.560
<v Speaker 1>we'll keep an eye out of this, right right if

0:06:26.600 --> 0:06:29.080
<v Speaker 1>your doctor, if you go for your physical and your

0:06:29.080 --> 0:06:31.839
<v Speaker 1>doctor doesn't check your blood sugar, which he or she

0:06:31.920 --> 0:06:35.120
<v Speaker 1>should be doing anyway, and you've had COVID, you want

0:06:35.120 --> 0:06:37.200
<v Speaker 1>to ask for that. You want to say, what's my

0:06:37.240 --> 0:06:39.040
<v Speaker 1>blood sugar, what's my humor bloom in a one C

0:06:39.520 --> 0:06:42.600
<v Speaker 1>look like? Because I did have COVID and they've connected

0:06:42.600 --> 0:06:46.719
<v Speaker 1>it to type two diabetes. Lenny Bernstein, health and medicine

0:06:46.760 --> 0:06:49.240
<v Speaker 1>reporter at the Washington Post, thank you very much for

0:06:49.279 --> 0:06:55.120
<v Speaker 1>joining us anytime. I'm Oscar Emiraz, and this has been

0:06:55.120 --> 0:06:58.800
<v Speaker 1>reopening America. Don't forget effort today's big news stories. You

0:06:58.839 --> 0:07:01.400
<v Speaker 1>can check me out in the Daily podcast every Monday

0:07:01.480 --> 0:07:04.240
<v Speaker 1>to Friday, So follow us on I Heart Radio or

0:07:04.279 --> 0:07:08.760
<v Speaker 1>wherever you get your podcast. H