WEBVTT - COVID-19 Chapter 2: Disease

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<v Speaker 1>Reading about it in the news, I knew it was

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<v Speaker 1>going to be bad, but we deal with the flu

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<v Speaker 1>every year, so I was thinking, well, it's probably not

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<v Speaker 1>that much worse than the flu. But seeing patients with

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<v Speaker 1>COVID nineteen completely change my perspective and it's a lot

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<v Speaker 1>more frightening. I have patients in their early forties, and yeah,

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<v Speaker 1>I was kind of shocked. I'm seeing people who look

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<v Speaker 1>relatively healthy with a minimal health history, and they're completely

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<v Speaker 1>wiped out, like they've been hit by a truck. This

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<v Speaker 1>is knocking out what should be perfectly fit, healthy people.

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<v Speaker 1>Patients will be on minimal support, on a little bit

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<v Speaker 1>of oxygen, and then all of a sudden, they go

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<v Speaker 1>into complete respiratory arrest, shut down and can't breathe at all.

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<v Speaker 1>It's called acute respiratory distress syndrome ARDS. That means that

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<v Speaker 1>the lungs are filled with fluid. Patients with ARDS are

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<v Speaker 1>extremely difficult to oxygen eight. It has a really high

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<v Speaker 1>mortality rate, about forty percent. The way to manage it

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<v Speaker 1>is to put a patient on a ventilator. The additional

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<v Speaker 1>pressure helps the oxygen go into the bloodstream Normally. ARDS

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<v Speaker 1>is something that happens over time as the lungs get

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<v Speaker 1>more and more inflamed. But with this virus, it seems

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<v Speaker 1>like it happens overnight. Typically with ards, the lungs become inflamed.

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<v Speaker 1>It's like inflammation anywhere. If you have a burn on

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<v Speaker 1>your arm, the skin around it turns red from additional

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<v Speaker 1>blood flow. The body is sending it additional nutrients to heal.

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<v Speaker 1>The problem is when that happens in your lungs, fluid

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<v Speaker 1>and extra blood starts going to the lungs. It first

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<v Speaker 1>struck me how different it was when I saw my

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<v Speaker 1>first coronavirus patient go bad. I was like, holy crap,

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<v Speaker 1>this is not the flu. Watching this relatively young guy

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<v Speaker 1>gasping for air, pink, frothy secretions coming out of his

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<v Speaker 1>tube and out of his mouth. The ventilator should have

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<v Speaker 1>been doing the work of breathing, but he was still

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<v Speaker 1>gasping for air, moving his mouth, moving his body, struggling.

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<v Speaker 1>When you're in that mindset of struggling to breathe and

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<v Speaker 1>delirious with fever, you don't know when someone is trying

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<v Speaker 1>to help you, so you'll try to rip the breathing

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<v Speaker 1>tube out because you feel like it's choking you, but

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<v Speaker 1>you're drowning when someone has an infection, I'm used to

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<v Speaker 1>seeing the normal colors you associate with it, greens and yellows.

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<v Speaker 1>The coronavirus. Patients with aards have been having a lot

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<v Speaker 1>of secretions that are actually pink because they're filled with

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<v Speaker 1>blood cells that are leaking into their airways. They're essentially

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<v Speaker 1>drowning in their own blood and fluids because their lungs

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<v Speaker 1>are so full, so we're constantly having to suction out

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<v Speaker 1>the secretions every time we go into their rooms. I

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<v Speaker 1>worked a long stretch of days last week, and I

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<v Speaker 1>watched it go from this novelty to a serious issue.

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<v Speaker 1>We had one or two patients at our hospital, and

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<v Speaker 1>then five to ten patients, and then twenty patients every day.

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<v Speaker 1>The intensity kept ratcheting up, more patients, and the patients

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<v Speaker 1>themselves are starting to get sicker and sicker. When it

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<v Speaker 1>first started, we all had tons of equipment, tons of supplies,

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<v Speaker 1>and as we started getting more patients, we started to

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<v Speaker 1>run out. They had to ration supplies. At first, we

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<v Speaker 1>were trying to use one mask per patient. Then it

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<v Speaker 1>was just you get one mask for positive patients, another

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<v Speaker 1>mask for everyone else, and now it's just you get

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<v Speaker 1>one mask. Even if you survive AARDS. Although some damage

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<v Speaker 1>can heal, it can also do long lasting damage to

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<v Speaker 1>the lungs. They can get filled up with scar tissue.

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<v Speaker 1>AARDS can lead to cognitive decline. Some people's muscles waste

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<v Speaker 1>away and it takes them a long time to recover

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<v Speaker 1>once they come off the ventilator. There is a very

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<v Speaker 1>real possibility that we might run out of ICU beds,

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<v Speaker 1>and at that point, I don't know what happens if

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<v Speaker 1>patients get sick and need to be intubated and put

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<v Speaker 1>on a ventilator. Is that person going to die because

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<v Speaker 1>we don't have the equipment to keep them alive?

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<v Speaker 2>Oh my gosh.

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<v Speaker 1>Yeah. That was an account from a respiratory therapist at

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<v Speaker 1>a hospital in Louisiana who remained anonymous. For that account,

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<v Speaker 1>I found it on Pro Publica. It was published on

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<v Speaker 1>March twenty first, And we'll put a link to the

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<v Speaker 1>full description in our show notes and on our website,

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<v Speaker 1>because that was just a small excerpt from the description.

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<v Speaker 2>It's you know, it's very eerie to read and to hear,

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<v Speaker 2>because what it does is it reminds me of a

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<v Speaker 2>lot of the first hand accounts from the nineteen eighteen

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<v Speaker 2>Luenzo which I know has been brought up. The comparisons

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<v Speaker 2>have been brought up constantly, and some are inappropriate comparisons.

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<v Speaker 2>But just that description of healthy individuals being struck down,

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<v Speaker 2>all people of all ages being struck down, and the

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<v Speaker 2>horrible thought of not being able to breathe, Yeah, and

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<v Speaker 2>drowning in your own fluids.

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<v Speaker 1>Yeah, it's really scary.

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<v Speaker 2>I mean, it is scary. And we should introduce ourselves

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<v Speaker 2>before getting too much into this.

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<v Speaker 3>Yeah, we should.

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<v Speaker 2>Hi, I'm erin Welsh and I'm erin Oman Updyke and

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<v Speaker 2>this is this podcast will kill you.

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<v Speaker 1>Welcome back everyone, or maybe welcome for the first time

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<v Speaker 1>if you jump part way into series. If you're one

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<v Speaker 1>of those people. This is our not so many minisod series,

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<v Speaker 1>Anatomy of a Pandemic, where we're answering all of your

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<v Speaker 1>listeners submitted questions about COVID nineteen, the disease caused by

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<v Speaker 1>SARS COVID two. In our first chapter, we covered the

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<v Speaker 1>virus itself, so all of the biology of SARS CoV two.

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<v Speaker 1>In this episode, chapter two, we're going to talk about

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<v Speaker 1>the disease that this virus causes, what it looks like,

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<v Speaker 1>how it's spread, and how physicians and healthcare workers are

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<v Speaker 1>dealing with this outbreak.

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<v Speaker 2>But first, as always, it's quarantiny time.

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<v Speaker 1>It's quarantine ay time.

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<v Speaker 2>In this episode, we are drinking the creatively named quarantine

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<v Speaker 2>y two, Quarantining number two. Aaron, what is in Quarantining

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<v Speaker 2>number two?

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<v Speaker 1>You know, Aaron, It's kind of a whiskey ginge.

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<v Speaker 2>Yeah, I mean I would, I would call it a

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<v Speaker 2>Kentucky mule perhaps if you happen to have a copper mug.

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<v Speaker 2>I did not, so the picture is disappointingly non copper.

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<v Speaker 1>It's all right, you did your best, thank you.

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<v Speaker 4>Yeah.

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<v Speaker 2>So it's basically ginger ale whisky of whatever kind of

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<v Speaker 2>whiskey you want, and some lime.

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<v Speaker 1>And we'll post the full recipe for that quarantine as

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<v Speaker 1>well as our non alcoholic plusy Breta on our website

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<v Speaker 1>and all of our social media channels as always as always.

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<v Speaker 2>Okay, So, as we mentioned, we've talked about the virus itself,

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<v Speaker 2>so now let's talk about the disease that this virus

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<v Speaker 2>is causing, COVID nineteen. And I do think that's a

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<v Speaker 2>particularly important distinction because, as we'll hear more about this

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<v Speaker 2>virus can infect you without necessarily causing severe disease, and

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<v Speaker 2>that's super important in understanding the spread of the virus,

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<v Speaker 2>because people who appear asymptomatic and otherwise healthy or just

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<v Speaker 2>have very mild cases could still be infected with and

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<v Speaker 2>therefore sneezing or coughing out the virus and spreading it

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<v Speaker 2>to other people. So we talked to doctor Colleenkraft, who

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<v Speaker 2>many of you may recognize from our first coronavirus episode,

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<v Speaker 2>and she's going to walk us through a lot of

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<v Speaker 2>your questions about the clinical disease that this virus causes.

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<v Speaker 2>Let's go over some of the basics first, so shall we?

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<v Speaker 1>Let's we shall? So one big question is what is

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<v Speaker 1>the timeline of this illness? And what you're going to

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<v Speaker 1>see is that we still don't have the answers to

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<v Speaker 1>every question when it comes to this disease, and the

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<v Speaker 1>timeline is kind of one of those that we don't

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<v Speaker 1>fully know, but we do have a better handle on

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<v Speaker 1>it than we did in our episode that we released

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<v Speaker 1>back in February. So, first of all, it seems like

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<v Speaker 1>the incubation period is on average about five days an

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<v Speaker 1>incubation period is the time from when you're first exposed

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<v Speaker 1>to that disease to when you first start showing symptoms

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<v Speaker 1>of that disease. Okay, so on average this is about

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<v Speaker 1>five days. It can range most studies, it seems like

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<v Speaker 1>the max range is about eleven. So when you hear

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<v Speaker 1>about being quarantined for fourteen days, that's because we think

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<v Speaker 1>and we're pretty sure that after fourteen days, if you

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<v Speaker 1>haven't started to show symptoms, you're probably not going to

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<v Speaker 1>show symptoms. So that's kind of the max range to

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<v Speaker 1>make sure that you don't spread this disease unknowingly to

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<v Speaker 1>someone else if you're exposed. And this number like around

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<v Speaker 1>fourteen days, that's consistent with what we saw with SARS one,

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<v Speaker 1>SARS classic.

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<v Speaker 4>Okay.

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<v Speaker 1>Now, the other thing is that from a retrospective study

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<v Speaker 1>of people that had COVID, the severe disease. This study

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<v Speaker 1>looked at people who were hospitalized for COVID, so pretty

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<v Speaker 1>severely ill. The median time from when symptoms first started

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<v Speaker 1>to discharge from the hospital was twenty two days. So

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<v Speaker 1>that's a long time for somebody to be in the hospital.

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<v Speaker 1>And I think that that's an important indication that for

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<v Speaker 1>people who get seriously sick, they can be sick for

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<v Speaker 1>quite a long time. The other thing that this study

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<v Speaker 1>looked at was viral shedding, so at least some measure

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<v Speaker 1>of how long somebody might potentially be infectious, and they

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<v Speaker 1>found that the median number of days that people were

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<v Speaker 1>shedding virus was twenty days from the onset of symptoms,

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<v Speaker 1>which is again a pretty long time if somebody is symptomatic,

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<v Speaker 1>that is a long time yep, and longer than fourteen days.

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<v Speaker 2>Yeah, that's I think. But I think the other thing

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<v Speaker 2>that you mentioned that it's sort of this is just

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<v Speaker 2>looking at people who had severe disease curR exactly, Yes, okay,

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<v Speaker 2>So I wonder I think. I mean, of course, as

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<v Speaker 2>this pandemic progresses, we're going to get more information about

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<v Speaker 2>those people who have milder cases or are asymptomatic and

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<v Speaker 2>how much virus they're shedding at various points throughout their

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<v Speaker 2>course of infection.

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<v Speaker 1>Exactly, Yeah, exactly. Okay, So then the question is what

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<v Speaker 1>are some of these symptoms?

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<v Speaker 2>Okay, So the biggest symptoms are the ones that most

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<v Speaker 2>people have probably heard about in the news quite a lot,

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<v Speaker 2>so fever, which, by the way, the death definition of

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<v Speaker 2>a fever is a temperature of over one hundred point

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<v Speaker 2>four degrees fahrenheit or thirty eight degrees celsius. Then there's

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<v Speaker 2>also cough, generally a dry cough, not a super wet

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<v Speaker 2>or a super productive cough, and then shortness of breath.

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<v Speaker 2>So these are the general symptoms of the disease that

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<v Speaker 2>we call COVID nineteen.

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<v Speaker 4>But we know.

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<v Speaker 2>Now that SARS covy two, the virus like SARS one

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<v Speaker 2>and MERS, can infect your lung tissue and cause a

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<v Speaker 2>lower respiratory disease, not only an upper respiratory infection the

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<v Speaker 2>way most of the common coronaviruses do. Okay, So what

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<v Speaker 2>does that mean, Well, it means the possibility of very

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<v Speaker 2>severe disease like we heard about in the first hand account,

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<v Speaker 2>and in the case of this virus, it seems that

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<v Speaker 2>about twenty percent of cases are severe. And that doesn't

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<v Speaker 2>mean that twenty percent of cases need ICEE you and

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<v Speaker 2>ventilator care, but it does mean that potentially up to

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<v Speaker 2>twenty percent of cases may need at least hospitalization and

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<v Speaker 2>some oxygen support or some IV fluid support. An analysis

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<v Speaker 2>from China suggest that there at least about fourteen percent

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<v Speaker 2>of cases were severe and five percent were critical, And

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<v Speaker 2>that means the same kind of picture that we talked

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<v Speaker 2>about in our coronavirus episode when we talked about SARS,

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<v Speaker 2>and the same description you heard in the first hand

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<v Speaker 2>account so ards, ground glass opacities on X rays, potentially

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<v Speaker 2>needing intubation. It's serious. It's a serious, serious disease, and

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<v Speaker 2>people can also go into shock, which we've talked about

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<v Speaker 2>a lot on the podcast. But essentially what that means

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<v Speaker 2>is that your organs aren't getting enough blood flow in

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<v Speaker 2>this case because of overwhelming infection, which leads to leakage

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<v Speaker 2>of fluids and then hypoperfusion, and then of course there

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<v Speaker 2>is also always the risk of a secondary infection on

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<v Speaker 2>top of this viral infection.

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<v Speaker 1>It can be pretty gnarly. But also in this case,

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<v Speaker 1>what we see that is different from SARS and mers

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<v Speaker 1>and what in our first episode about coronaviruses was still

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<v Speaker 1>kind of a gray zone. That's a lot more clear

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<v Speaker 1>now is that asymptomatic or very mildly symptomatic infection is

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<v Speaker 1>not only possible, but it's likely actually responsible for quite

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<v Speaker 1>a lot of the spread of this disease. It's estimated

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<v Speaker 1>that about eighty percent of cases are mild, which, while

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<v Speaker 1>that's great news for the majority of people who get infected,

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<v Speaker 1>it means you're not necessarily going to be looking at

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<v Speaker 1>such a severe disease. It also means that this disease

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<v Speaker 1>is easier to spread since not everyone who's sick maybe

0:13:35.640 --> 0:13:40.200
<v Speaker 1>even realizes that they're sick. And how does this disease spread.

0:13:39.960 --> 0:13:46.480
<v Speaker 2>Erin well, respiratory droplets as we well know, but we're

0:13:46.520 --> 0:13:49.480
<v Speaker 2>not going to go into that. We're going to allow

0:13:49.559 --> 0:13:54.760
<v Speaker 2>our expert, doctor Collingcraft from Emory University to explain how

0:13:54.880 --> 0:13:59.760
<v Speaker 2>respiratory droplets work, as well as other characteristics of this disease,

0:14:00.000 --> 0:14:02.360
<v Speaker 2>how wo'ds spread, how we're testing for it, who we're

0:14:02.400 --> 0:14:05.040
<v Speaker 2>testing for it, and finally, how we treat it.

0:14:05.800 --> 0:14:35.800
<v Speaker 1>Right after this break, my.

0:14:35.800 --> 0:14:39.000
<v Speaker 4>Name is Colleen Kraft and I'm the Associate chief Medical

0:14:39.000 --> 0:14:42.880
<v Speaker 4>Officer at Emory University Hospital. My training is in infectious

0:14:42.880 --> 0:14:44.760
<v Speaker 4>diseases and clinical microbiology.

0:14:45.800 --> 0:14:48.680
<v Speaker 2>Thank you again, so so much for joining us. We

0:14:48.760 --> 0:14:51.080
<v Speaker 2>know that you have just been swamped with work and

0:14:51.120 --> 0:14:53.760
<v Speaker 2>so we really appreciate you taking the time to kind

0:14:53.760 --> 0:14:58.040
<v Speaker 2>of talk about COVID nineteen. I mean since our first

0:14:58.080 --> 0:15:00.360
<v Speaker 2>interview with you, which has been you know, about a

0:15:00.400 --> 0:15:03.280
<v Speaker 2>month and a half ago. A lot has happened.

0:15:03.560 --> 0:15:06.120
<v Speaker 4>Yes, like a lifetime has happened. That's how I feel.

0:15:06.480 --> 0:15:10.320
<v Speaker 1>Yeah, yeah, so we'll jump right in. We are talking today,

0:15:10.360 --> 0:15:14.200
<v Speaker 1>of course, about SARS COVID two, the virus that causes

0:15:14.480 --> 0:15:19.080
<v Speaker 1>COVID nineteen. So we know that it's transmitted through respiratory

0:15:19.240 --> 0:15:24.600
<v Speaker 1>droplets or direct contact with somebody's respiratory droplets, like other coronaviruses.

0:15:25.160 --> 0:15:26.680
<v Speaker 1>Can you tell us a little bit about what that

0:15:26.800 --> 0:15:30.800
<v Speaker 1>means in contrast to viruses that are airborne and when

0:15:30.840 --> 0:15:35.800
<v Speaker 1>people talk about respiratory droplets, like what exactly does that include?

0:15:36.000 --> 0:15:40.000
<v Speaker 4>Sure? So I think it's it was really funny to hear.

0:15:41.480 --> 0:15:44.200
<v Speaker 4>I've been to a number of town halls around Emory

0:15:44.280 --> 0:15:47.480
<v Speaker 4>and I had one of my audience members best described

0:15:47.520 --> 0:15:51.240
<v Speaker 4>it as, you know, it's your saliva, So it's sort

0:15:51.280 --> 0:15:55.080
<v Speaker 4>of I view respiratory droplets as being sort of the

0:15:55.080 --> 0:15:58.480
<v Speaker 4>wet aspects of our coughs and sneeze, and that's that.

0:15:58.520 --> 0:16:02.200
<v Speaker 4>I thought that was very well described that way by

0:16:02.200 --> 0:16:06.040
<v Speaker 4>this employee. And I didn't answer your your airborne question.

0:16:06.160 --> 0:16:09.400
<v Speaker 4>So what happens is when we cough or sneeze, it's those,

0:16:09.480 --> 0:16:12.360
<v Speaker 4>it's like a wet, heavy droplet, and that kind of

0:16:12.440 --> 0:16:15.640
<v Speaker 4>goes to the ground right sooner because it's heavy. But

0:16:15.800 --> 0:16:19.600
<v Speaker 4>when they are really small, then they can aerosolize and

0:16:19.640 --> 0:16:22.400
<v Speaker 4>they can actually sort of hang around in the air

0:16:22.440 --> 0:16:24.520
<v Speaker 4>for longer. And so that's why every time there's a

0:16:24.520 --> 0:16:27.880
<v Speaker 4>new respiratory virus we sort of pretend like it's airborne,

0:16:27.920 --> 0:16:29.960
<v Speaker 4>just to make sure it's not airborne, because that is

0:16:30.000 --> 0:16:33.760
<v Speaker 4>sort of a different transmission route that that can hang

0:16:33.800 --> 0:16:38.200
<v Speaker 4>in the air longer and it can go farther. But

0:16:38.640 --> 0:16:41.480
<v Speaker 4>you know, from what everything we know, this coronavirus still

0:16:41.520 --> 0:16:46.880
<v Speaker 4>behaves like our droplet spread coronaviruses, gotcha.

0:16:48.280 --> 0:16:51.840
<v Speaker 2>So at this point we have a better idea of

0:16:51.880 --> 0:16:55.040
<v Speaker 2>what a typical course of COVID nineteen looks like. Can

0:16:55.080 --> 0:16:57.880
<v Speaker 2>you walk us through what that is like? You know,

0:16:58.000 --> 0:17:00.600
<v Speaker 2>day one, day two, what do you typically see?

0:17:01.160 --> 0:17:04.040
<v Speaker 4>Yeah, so we're seeing the same things as being seen

0:17:04.080 --> 0:17:06.679
<v Speaker 4>and observed in other parts of the world. And so

0:17:07.520 --> 0:17:10.600
<v Speaker 4>we have the vast majority of these individuals have a cold.

0:17:11.640 --> 0:17:15.159
<v Speaker 4>It may be an unpleasant cold more than for others,

0:17:15.200 --> 0:17:18.520
<v Speaker 4>but most people have a very mild illness, probably most

0:17:19.119 --> 0:17:22.879
<v Speaker 4>similar to our common cold. In general. We are seeing

0:17:22.920 --> 0:17:26.280
<v Speaker 4>people though, that come in with basically a viral pneumonia

0:17:26.359 --> 0:17:29.240
<v Speaker 4>type picture. Viral pneumonia should really make the hairs on

0:17:29.280 --> 0:17:32.560
<v Speaker 4>the back of your neck stand up, because that's probably

0:17:32.600 --> 0:17:35.920
<v Speaker 4>what happened in the nineteen eighteen Spanish flu. And this

0:17:36.000 --> 0:17:38.919
<v Speaker 4>is again along with the airborne aspect, this is what

0:17:38.960 --> 0:17:42.040
<v Speaker 4>we're always looking for in these new viruses. Does it

0:17:42.160 --> 0:17:46.080
<v Speaker 4>have a propensity to cause lower respiratory tract infection? If

0:17:46.080 --> 0:17:50.000
<v Speaker 4>it does, that makes us scared because we can't. While

0:17:50.000 --> 0:17:52.919
<v Speaker 4>we can do a lot with bacterial pneumonia, a viral

0:17:52.920 --> 0:17:56.760
<v Speaker 4>pneumonia is very scary because usually don't we can't treat

0:17:56.840 --> 0:17:59.359
<v Speaker 4>most of the viruses that we get, and so we

0:17:59.400 --> 0:18:01.360
<v Speaker 4>definitely don't it down and the lung where it can

0:18:01.400 --> 0:18:05.400
<v Speaker 4>cause scarring and difficulty breathing. And so for a subset

0:18:05.440 --> 0:18:07.840
<v Speaker 4>of people that for the most part tend to be

0:18:07.960 --> 0:18:11.919
<v Speaker 4>ill ill at baseline, we have a group of people

0:18:11.920 --> 0:18:17.200
<v Speaker 4>that also are getting symptomatic lower respiratory tracts syndrome who

0:18:17.359 --> 0:18:20.040
<v Speaker 4>are not quite as ill as the typical person we're

0:18:20.080 --> 0:18:23.480
<v Speaker 4>hearing about that is succumbing to this disease. So we've

0:18:23.480 --> 0:18:26.240
<v Speaker 4>had a number of individuals that yes, they have other

0:18:26.280 --> 0:18:29.480
<v Speaker 4>medical problems, but they don't necessarily have respiratory medical problems,

0:18:29.520 --> 0:18:32.320
<v Speaker 4>and they are having you know, sort of a viral

0:18:32.359 --> 0:18:35.399
<v Speaker 4>pneumonia picture, and we have had a few that have

0:18:35.560 --> 0:18:39.840
<v Speaker 4>been needed to have mechanical ventilation or a breathing tube.

0:18:40.760 --> 0:18:44.440
<v Speaker 2>Gotcha about how long does is the course of disease?

0:18:44.520 --> 0:18:47.080
<v Speaker 2>You know, I know that for some people who have

0:18:47.200 --> 0:18:51.400
<v Speaker 2>milder cases it may be shorter than for others. But

0:18:51.480 --> 0:18:53.320
<v Speaker 2>what do we see on average or what does it

0:18:53.359 --> 0:18:56.600
<v Speaker 2>look like for the people with more mild symptoms compared

0:18:56.640 --> 0:18:58.560
<v Speaker 2>to the people with more severe outcomes.

0:18:59.240 --> 0:19:02.640
<v Speaker 4>I would say it's it's that typical three day kind

0:19:02.640 --> 0:19:06.200
<v Speaker 4>of feeling bad, achy, and then the next day is

0:19:06.200 --> 0:19:08.240
<v Speaker 4>maybe a little bit better, not great, and then the

0:19:08.280 --> 0:19:11.160
<v Speaker 4>next day you're sort of back to feeling like you're

0:19:11.359 --> 0:19:15.440
<v Speaker 4>among the living. And then you know, then we also

0:19:15.640 --> 0:19:17.919
<v Speaker 4>recommend for at least for our employees to sort of,

0:19:18.400 --> 0:19:20.880
<v Speaker 4>you know, kind of self isolate for a few more days,

0:19:20.920 --> 0:19:22.680
<v Speaker 4>just to make sure you're not sort of still having

0:19:22.760 --> 0:19:26.840
<v Speaker 4>those secretions coffin sneeze because we don't want to keep

0:19:26.840 --> 0:19:29.520
<v Speaker 4>spreading it. And so that's sort of a mild course.

0:19:30.040 --> 0:19:33.879
<v Speaker 4>The more severe courses tend to be you know, I

0:19:33.880 --> 0:19:36.159
<v Speaker 4>think the damage is done within the first week, and

0:19:36.200 --> 0:19:38.480
<v Speaker 4>then what we're doing is trying to support the body

0:19:38.560 --> 0:19:40.640
<v Speaker 4>so the body can mend after that.

0:19:41.480 --> 0:19:46.080
<v Speaker 2>What does that supportive care look like, both in terms

0:19:46.080 --> 0:19:49.199
<v Speaker 2>of that during that first week of intense symptoms and

0:19:49.240 --> 0:19:52.240
<v Speaker 2>then the sort of you know, the healing stage.

0:19:52.920 --> 0:19:55.879
<v Speaker 4>Right, So it sounds like it's your grandmother patting your hand,

0:19:56.200 --> 0:19:58.959
<v Speaker 4>is what supportive care sounds like, I think to most people.

0:19:59.480 --> 0:20:02.359
<v Speaker 4>But in the case of some individuals that have severe disease,

0:20:02.400 --> 0:20:05.359
<v Speaker 4>it may mean that they have a breathing tube, they're

0:20:05.359 --> 0:20:07.919
<v Speaker 4>in an ICU, they have many other things that are

0:20:07.960 --> 0:20:10.919
<v Speaker 4>helping support their body until the body can kind of

0:20:10.920 --> 0:20:13.480
<v Speaker 4>get rid of the virus itself. So this is sort

0:20:13.520 --> 0:20:15.600
<v Speaker 4>of how we describe things back in the bola days,

0:20:15.640 --> 0:20:17.840
<v Speaker 4>where you know, most of the time what we're doing

0:20:17.920 --> 0:20:22.040
<v Speaker 4>is just supporting, like with life support, basically to try

0:20:22.080 --> 0:20:25.879
<v Speaker 4>to keep things going until the body can create and

0:20:25.920 --> 0:20:29.399
<v Speaker 4>clear that virus. That's what happened during a bola with coronavirus.

0:20:29.240 --> 0:20:32.560
<v Speaker 4>It's sort of similar. So supportive care when you're at

0:20:32.600 --> 0:20:37.040
<v Speaker 4>home maybe niquil and television, which sounds really great to

0:20:37.080 --> 0:20:40.560
<v Speaker 4>me right now, and when you're in the hospital. Though.

0:20:40.600 --> 0:20:43.280
<v Speaker 4>What that is is if we need to help one

0:20:43.320 --> 0:20:45.399
<v Speaker 4>of your body systems function, we will do that.

0:20:47.040 --> 0:20:50.919
<v Speaker 1>Okay, do we know at this point how much things

0:20:50.960 --> 0:20:54.280
<v Speaker 1>like viral load might correlate with the severity of symptoms?

0:20:54.320 --> 0:20:58.159
<v Speaker 1>Are the people that have milder cases, are they as

0:20:58.280 --> 0:21:01.000
<v Speaker 1>infectious to others? Are they shedding as much viral particles

0:21:01.040 --> 0:21:02.480
<v Speaker 1>as these more severe cases?

0:21:03.520 --> 0:21:07.200
<v Speaker 4>Right? So, I think this is a great question. And

0:21:07.480 --> 0:21:09.280
<v Speaker 4>I think as this is where you're going to see,

0:21:09.280 --> 0:21:12.280
<v Speaker 4>my laboratory in side come out quite a bit. So

0:21:12.320 --> 0:21:15.359
<v Speaker 4>it's really easy when we talk about viral load in

0:21:15.400 --> 0:21:19.200
<v Speaker 4>the blood or plasma or serum to sort of understand

0:21:19.200 --> 0:21:22.679
<v Speaker 4>how to standardize that by copies per mili liter or

0:21:22.680 --> 0:21:26.439
<v Speaker 4>something like that. When we're doing a respiratory swab. I

0:21:26.440 --> 0:21:29.920
<v Speaker 4>think it's really hard to standardize. And because this test

0:21:30.000 --> 0:21:32.679
<v Speaker 4>is so new, we don't have the test standardize in

0:21:32.720 --> 0:21:35.720
<v Speaker 4>and of itself, So the testing results at our institution

0:21:35.960 --> 0:21:38.480
<v Speaker 4>may be a little bit variable compared to another institution,

0:21:38.560 --> 0:21:40.600
<v Speaker 4>and that's because we don't have a gold standard yet

0:21:40.680 --> 0:21:43.879
<v Speaker 4>to compare on all of the machines. So I agree

0:21:43.920 --> 0:21:48.240
<v Speaker 4>with you. However, we have seen very anecdotally that we've

0:21:48.240 --> 0:21:52.159
<v Speaker 4>had people with very high viral loads that basically didn't

0:21:52.160 --> 0:21:55.080
<v Speaker 4>even look like they were sick, and we question whether

0:21:55.119 --> 0:21:57.560
<v Speaker 4>or not we should even swab them. And I had

0:21:57.600 --> 0:22:01.920
<v Speaker 4>extremely high amounts in their nose, whereas we've also had

0:22:01.920 --> 0:22:04.320
<v Speaker 4>people that have had moderate amounts that are sick and

0:22:04.359 --> 0:22:08.199
<v Speaker 4>on a ventilator. And so, while I think there's an

0:22:08.280 --> 0:22:11.280
<v Speaker 4>aspect that correlates, I think the way that we obtained

0:22:11.560 --> 0:22:15.920
<v Speaker 4>the swab is going to make this difficult unless there's

0:22:15.960 --> 0:22:19.639
<v Speaker 4>some sort of serum or plasma or surrogate tests we

0:22:19.680 --> 0:22:22.600
<v Speaker 4>can use that can be very standardized with its input.

0:22:23.880 --> 0:22:29.040
<v Speaker 2>And so going revisiting this aspect of perhaps asymptomatic individuals

0:22:29.119 --> 0:22:33.120
<v Speaker 2>or people with very very mild cases of this, can

0:22:33.160 --> 0:22:36.639
<v Speaker 2>you talk about sort of the incubation period when people

0:22:36.720 --> 0:22:40.880
<v Speaker 2>might start becoming infectious, how long they remain infectious, and

0:22:40.920 --> 0:22:44.720
<v Speaker 2>then sort of how much do you think asymptomatic individuals

0:22:44.840 --> 0:22:46.800
<v Speaker 2>might be contributing to the spread of disease.

0:22:48.280 --> 0:22:51.879
<v Speaker 4>So I think they probably are contributing to the spread

0:22:51.920 --> 0:22:53.800
<v Speaker 4>of disease. I think that's why some of these more

0:22:53.840 --> 0:22:58.040
<v Speaker 4>dramatic things that we're seeing are the social distancing and

0:22:58.080 --> 0:23:00.760
<v Speaker 4>being really aware of your even more so just your

0:23:00.800 --> 0:23:03.800
<v Speaker 4>own hand hygiene, just your own persona as it relates

0:23:03.840 --> 0:23:07.040
<v Speaker 4>to anybody else. And so I think that we are

0:23:07.119 --> 0:23:10.800
<v Speaker 4>taking measures to have that not happen. Right school's closing.

0:23:11.240 --> 0:23:12.840
<v Speaker 4>Let's talk about where there could be a lot of

0:23:12.880 --> 0:23:17.159
<v Speaker 4>asymptomatic spread of disease. That would be a school. So

0:23:17.200 --> 0:23:20.199
<v Speaker 4>you got a bunch of kids shedding virus everywhere in

0:23:20.240 --> 0:23:24.480
<v Speaker 4>close proximity, with limited hand and face and everything hygiene,

0:23:24.960 --> 0:23:30.520
<v Speaker 4>And you can tell I have children, and that's just like,

0:23:30.760 --> 0:23:33.400
<v Speaker 4>that's just a setup for transmission. So I do think

0:23:33.440 --> 0:23:38.120
<v Speaker 4>that while asymptomatic people are shedding, we're really taking dramatic

0:23:38.119 --> 0:23:40.720
<v Speaker 4>efforts on like I've ever seen in my short lifetime.

0:23:40.760 --> 0:23:44.560
<v Speaker 4>I suppose really to even work on stopping that. I mean,

0:23:44.640 --> 0:23:48.560
<v Speaker 4>hospitals aren't allowing very many visitors, you know, public places

0:23:48.560 --> 0:23:52.240
<v Speaker 4>of all but canceled everything. So we're actually really trying

0:23:52.280 --> 0:23:55.879
<v Speaker 4>to break that cycle, which I think has to me

0:23:56.040 --> 0:23:59.959
<v Speaker 4>never been really done to this extreme. Yeah.

0:24:00.160 --> 0:24:04.119
<v Speaker 1>Yeah, And you mentioned as well that it seems at

0:24:04.119 --> 0:24:07.120
<v Speaker 1>this point pretty well established that it's older people and

0:24:07.160 --> 0:24:11.119
<v Speaker 1>people with other underlying health conditions or people that are

0:24:11.160 --> 0:24:14.439
<v Speaker 1>otherwise immunal compromise that are more likely to experience this

0:24:14.560 --> 0:24:17.960
<v Speaker 1>severe disease. But we've gotten a lot of people asking

0:24:18.040 --> 0:24:20.840
<v Speaker 1>us for a bit more clarity about these groups, like

0:24:21.200 --> 0:24:24.320
<v Speaker 1>what age is it that people are considered elderly or

0:24:24.359 --> 0:24:28.280
<v Speaker 1>at risk? And is it any sort of immune compromise

0:24:28.640 --> 0:24:31.399
<v Speaker 1>that makes you more vulnerable? Or what are these pre

0:24:31.480 --> 0:24:34.200
<v Speaker 1>existing health conditions that we're most concerned with in terms

0:24:34.280 --> 0:24:37.360
<v Speaker 1>of the higher risk categories for this disease.

0:24:38.920 --> 0:24:41.480
<v Speaker 4>Right, So, I think the way to do that, and

0:24:41.520 --> 0:24:43.560
<v Speaker 4>the way I've been gut checking a number of these

0:24:43.640 --> 0:24:46.040
<v Speaker 4>questions that we really just don't know yet because we

0:24:46.080 --> 0:24:48.879
<v Speaker 4>don't know everything about this virus, is to think about

0:24:48.880 --> 0:24:53.800
<v Speaker 4>influenza and sort of start there. Right, So, in older adults,

0:24:53.800 --> 0:24:56.600
<v Speaker 4>influenza tends to be more severe because it's sort of

0:24:56.960 --> 0:25:01.199
<v Speaker 4>tipping off chronic conditions that get worse. So if you

0:25:01.280 --> 0:25:04.959
<v Speaker 4>have bad heart disease and you get a respiratory virus infection,

0:25:05.040 --> 0:25:09.280
<v Speaker 4>sometimes people even have heart attacks from viruses, which is

0:25:09.359 --> 0:25:12.159
<v Speaker 4>very rare, but we think probably happens more than we understand,

0:25:12.800 --> 0:25:15.760
<v Speaker 4>but it may basically, you know, they may be in

0:25:15.840 --> 0:25:18.879
<v Speaker 4>sort of a tenuous balance, like everything's kind of holding together,

0:25:18.960 --> 0:25:21.920
<v Speaker 4>but it's it's it doesn't take much to push over

0:25:22.119 --> 0:25:25.240
<v Speaker 4>into feeling a lot worse. And so I just think

0:25:25.240 --> 0:25:27.760
<v Speaker 4>about the people that are at risk for our typical

0:25:27.760 --> 0:25:29.679
<v Speaker 4>seasonal influencer are going to be the same people they

0:25:29.680 --> 0:25:33.520
<v Speaker 4>are at risk, So anybody that has lung problems, anybody

0:25:33.520 --> 0:25:36.920
<v Speaker 4>who's immune system can't fight it off. I think it's

0:25:36.960 --> 0:25:39.800
<v Speaker 4>hard to say to actual groups, and you know, we're

0:25:39.840 --> 0:25:43.120
<v Speaker 4>seeing that many older people are being spared and and

0:25:43.160 --> 0:25:45.159
<v Speaker 4>some younger people that are younger than we thought are

0:25:45.200 --> 0:25:48.199
<v Speaker 4>getting it. So it's really I think we're you know,

0:25:48.200 --> 0:25:50.639
<v Speaker 4>we're trying to define the syndrome, as we're trying to

0:25:50.680 --> 0:25:53.000
<v Speaker 4>diagnose cases, as we're trying to bring up testing, and

0:25:53.080 --> 0:25:54.879
<v Speaker 4>so I think, you know, we will by the end

0:25:54.880 --> 0:25:58.080
<v Speaker 4>of this outbreak have more resolution on what that looks like.

0:25:58.480 --> 0:26:01.200
<v Speaker 4>But I think right now, you know, and it's probably

0:26:01.240 --> 0:26:04.920
<v Speaker 4>at this point near seasonal influenza, gotcha.

0:26:05.240 --> 0:26:07.840
<v Speaker 2>There were two groups specifically that we got a lot

0:26:07.880 --> 0:26:10.360
<v Speaker 2>of emails about and questions about, and one of those

0:26:10.400 --> 0:26:14.320
<v Speaker 2>groups was people with diabetes type one, and they were wondering,

0:26:14.359 --> 0:26:16.960
<v Speaker 2>you know, people, I keep seeing that people with diabetes

0:26:17.000 --> 0:26:19.479
<v Speaker 2>are more at risk, does that include me? And then

0:26:19.480 --> 0:26:21.680
<v Speaker 2>the other group that we got a lot of questions

0:26:21.720 --> 0:26:25.280
<v Speaker 2>from were people who were pregnant or people with newborns.

0:26:25.560 --> 0:26:29.320
<v Speaker 4>Right, So the pregnancy thing, I think is always a

0:26:29.400 --> 0:26:34.040
<v Speaker 4>we always are concerned about it very highly. I don't

0:26:34.080 --> 0:26:36.520
<v Speaker 4>think that there's been any data that actually shows there's

0:26:36.840 --> 0:26:40.720
<v Speaker 4>poorer outcomes. I know that doctor Denise Jamison from Emory

0:26:40.760 --> 0:26:42.920
<v Speaker 4>has published a little bit about this, at least what's

0:26:43.000 --> 0:26:47.399
<v Speaker 4>known from stars and mers, And while early trimester is

0:26:47.400 --> 0:26:52.439
<v Speaker 4>always concerning for anything, there's no evidence that anybody again

0:26:52.960 --> 0:26:58.479
<v Speaker 4>has had any pregnancy complications from this. However, in general

0:26:58.560 --> 0:27:01.080
<v Speaker 4>we don't like to test that theory, and so we

0:27:01.160 --> 0:27:06.959
<v Speaker 4>tend to be protective around pregnant women for sure. In

0:27:07.040 --> 0:27:10.840
<v Speaker 4>terms of those with diabetes, I think it's it's again

0:27:11.000 --> 0:27:14.879
<v Speaker 4>not quite known what the aspects of diabetes, except that

0:27:14.880 --> 0:27:18.679
<v Speaker 4>there's some level of sluggish immune and response. I wouldn't

0:27:18.720 --> 0:27:23.040
<v Speaker 4>say immune compromise entirely. I think it depends on how

0:27:23.080 --> 0:27:27.600
<v Speaker 4>well your blood sugars are controlled, how many complications you

0:27:27.640 --> 0:27:31.119
<v Speaker 4>already have from diabetes. Do you have type one diabetes,

0:27:31.160 --> 0:27:33.400
<v Speaker 4>which can tend to be much more severe than type

0:27:33.440 --> 0:27:36.240
<v Speaker 4>two diabetes. I think some of those questions, you know,

0:27:36.280 --> 0:27:39.160
<v Speaker 4>may be elucidated as things progress.

0:27:39.880 --> 0:27:44.320
<v Speaker 2>Gotcha, so you know on these in this discussion of

0:27:44.400 --> 0:27:47.000
<v Speaker 2>high risk groups and low risk groups or varying risk

0:27:47.440 --> 0:27:49.480
<v Speaker 2>in general. One of the things that we've seen is

0:27:49.520 --> 0:27:53.159
<v Speaker 2>that children seem to experience a milder disease than some

0:27:53.800 --> 0:27:57.240
<v Speaker 2>of the other age groups. Do we know why that is?

0:27:57.880 --> 0:28:02.080
<v Speaker 2>Our immuno compromised kids just asvulnerable as immunocompromise people of

0:28:02.160 --> 0:28:02.880
<v Speaker 2>other ages.

0:28:03.960 --> 0:28:06.800
<v Speaker 4>I should have read my pediatric textbook a little bit more,

0:28:06.840 --> 0:28:09.200
<v Speaker 4>But there are definitely a number of viruses that are

0:28:09.359 --> 0:28:11.920
<v Speaker 4>much worse than adults than kids. And then we sort

0:28:11.920 --> 0:28:15.120
<v Speaker 4>of have vice versa where kids tend to have maybe

0:28:15.160 --> 0:28:17.359
<v Speaker 4>an increased predilection, or maybe it's just because by the

0:28:17.359 --> 0:28:19.280
<v Speaker 4>time you're an adult that you're immune to it, and

0:28:19.280 --> 0:28:20.720
<v Speaker 4>when you're a kid you're sort of seeing it for

0:28:20.760 --> 0:28:23.439
<v Speaker 4>the first time. So there is always this dichotomy of

0:28:23.920 --> 0:28:26.240
<v Speaker 4>is it worse in kids are better in kids? This

0:28:27.200 --> 0:28:29.760
<v Speaker 4>scenario really seems to be that the kids are these

0:28:29.800 --> 0:28:33.280
<v Speaker 4>asymptomatic probably shedds, right, But we already discussed a little

0:28:33.280 --> 0:28:38.440
<v Speaker 4>bit earlier, and so this virus just for whatever reason,

0:28:38.560 --> 0:28:41.520
<v Speaker 4>is not that severe in children. But again, it may

0:28:41.520 --> 0:28:44.120
<v Speaker 4>be that most coronaviruses aren't. We just haven't studied them

0:28:44.160 --> 0:28:46.400
<v Speaker 4>because we kind of haven't cared because they haven't done

0:28:46.400 --> 0:28:50.920
<v Speaker 4>that severe in adults, and in terms of immunocompromised kids,

0:28:50.960 --> 0:28:53.239
<v Speaker 4>I suppose that they are more at risk, but I

0:28:53.280 --> 0:28:58.960
<v Speaker 4>suppose that they may also become increased vectors. They may

0:28:59.040 --> 0:29:02.240
<v Speaker 4>just shed longer. But again, I'm not a pediatrician, so

0:29:02.280 --> 0:29:06.240
<v Speaker 4>I hesitate to sort of fully answer that one with confidence.

0:29:07.360 --> 0:29:08.360
<v Speaker 3>Yeah, that makes sense.

0:29:09.880 --> 0:29:13.920
<v Speaker 1>So can you explain a little bit about how we

0:29:13.960 --> 0:29:16.640
<v Speaker 1>are getting the numbers for things like the case fatality

0:29:16.760 --> 0:29:19.560
<v Speaker 1>rate right now? Is that something that is still a

0:29:19.680 --> 0:29:23.000
<v Speaker 1>moving target? Do you think that we might be able

0:29:23.040 --> 0:29:26.560
<v Speaker 1>to see that number decrease as more asymptomatic or mild

0:29:26.600 --> 0:29:29.680
<v Speaker 1>cases are identified, since at this point it seems like

0:29:29.720 --> 0:29:33.520
<v Speaker 1>testing is mostly focused on the severe cases exactly.

0:29:33.840 --> 0:29:36.280
<v Speaker 4>Yeah, so I think this is you know where again

0:29:36.360 --> 0:29:39.560
<v Speaker 4>my laboratory and background and the logic of this is

0:29:39.640 --> 0:29:44.920
<v Speaker 4>really interesting in a is it interesting as anything can

0:29:45.000 --> 0:29:49.800
<v Speaker 4>get right now? So what really I think is interesting

0:29:49.920 --> 0:29:53.280
<v Speaker 4>is we really do have a decrease in throughput ability

0:29:53.320 --> 0:29:56.600
<v Speaker 4>right now with our diagnostic testing. That's because we're building

0:29:56.640 --> 0:29:59.719
<v Speaker 4>the car as we drive it, right So, there's been

0:29:59.720 --> 0:30:03.960
<v Speaker 4>all this contrived controversy about test kit shortage. Well, we

0:30:04.280 --> 0:30:06.880
<v Speaker 4>just discovered this virus and we just made a test

0:30:06.920 --> 0:30:09.080
<v Speaker 4>for it, and when we make tests that are new,

0:30:09.400 --> 0:30:11.600
<v Speaker 4>we have to go back to old school methods, which

0:30:11.600 --> 0:30:15.280
<v Speaker 4>are a bit slow, and so I think I don't

0:30:15.280 --> 0:30:17.440
<v Speaker 4>know what expectation we had that we had to have

0:30:17.520 --> 0:30:20.080
<v Speaker 4>like a rapid test the next day. I think it

0:30:20.160 --> 0:30:23.200
<v Speaker 4>was a little bit. I don't know who's stettying that standard,

0:30:23.200 --> 0:30:26.640
<v Speaker 4>but the standard is unattainable, and so I think that

0:30:26.680 --> 0:30:28.440
<v Speaker 4>by virtue of the fact that we're going to start

0:30:28.640 --> 0:30:31.400
<v Speaker 4>testing more and more people over the next month, we

0:30:31.480 --> 0:30:33.480
<v Speaker 4>are going to see that that denominator is going to

0:30:33.480 --> 0:30:36.920
<v Speaker 4>stretch out. So we're going to have people that are asymptomatic,

0:30:37.360 --> 0:30:40.640
<v Speaker 4>barely symptomatic that are going to be positive, and that

0:30:40.720 --> 0:30:43.920
<v Speaker 4>will make that case fatality rate drop. I think it

0:30:43.960 --> 0:30:47.320
<v Speaker 4>can look higher. Again, it's exactly what you said. It's

0:30:47.320 --> 0:30:49.840
<v Speaker 4>selection bias. So when you're only testing the sickest of

0:30:49.840 --> 0:30:52.960
<v Speaker 4>the sick, then you're only going to find a high

0:30:53.080 --> 0:30:58.080
<v Speaker 4>case fatality rate. I personally am the current gatekeeper to

0:30:58.160 --> 0:31:01.600
<v Speaker 4>who gets on our daily test in house that we've developed,

0:31:02.400 --> 0:31:05.440
<v Speaker 4>and we only have room as of today. This probably

0:31:05.480 --> 0:31:08.680
<v Speaker 4>is actually going to change tomorrow. So you know, I

0:31:08.840 --> 0:31:12.840
<v Speaker 4>have to gatekeep and prioritize who gets on our in

0:31:12.920 --> 0:31:15.280
<v Speaker 4>house run which takes twenty four hours versus send out

0:31:15.280 --> 0:31:18.200
<v Speaker 4>to a referral lab, which may take seven days. Well,

0:31:18.240 --> 0:31:21.280
<v Speaker 4>who do I prioritize? I mean, who would you guys prioritize?

0:31:21.560 --> 0:31:24.680
<v Speaker 4>So we're going to do impatients because we're also using

0:31:24.720 --> 0:31:27.840
<v Speaker 4>a lot of personal protective equipment to care for these individuals,

0:31:28.200 --> 0:31:29.520
<v Speaker 4>and so we want to be able to take them

0:31:29.520 --> 0:31:31.320
<v Speaker 4>out of that if they don't need it, and then

0:31:31.320 --> 0:31:34.680
<v Speaker 4>we can keep our supplied. You know, we need less

0:31:34.840 --> 0:31:38.080
<v Speaker 4>supplies if we do it that way. And then we're

0:31:38.120 --> 0:31:43.000
<v Speaker 4>also tests prioritizing our workforce, right, so we want to

0:31:43.000 --> 0:31:45.680
<v Speaker 4>make sure that the physical therapists and the respiratory therapists

0:31:45.680 --> 0:31:50.240
<v Speaker 4>and the you know, tech and everybody can come back

0:31:50.240 --> 0:31:51.800
<v Speaker 4>to work because we want to make sure we can

0:31:51.880 --> 0:31:54.400
<v Speaker 4>keep taking care of these sick patients when they come in.

0:31:55.040 --> 0:31:56.239
<v Speaker 4>Mm hm hm.

0:31:56.640 --> 0:31:57.320
<v Speaker 1>That makes sense.

0:31:58.560 --> 0:32:02.200
<v Speaker 2>So I know that it's early stages yet again in

0:32:02.240 --> 0:32:04.920
<v Speaker 2>this pandemic, but do what do we know so far

0:32:05.120 --> 0:32:09.520
<v Speaker 2>about longer term health consequences for people who have gotten sick,

0:32:09.600 --> 0:32:14.120
<v Speaker 2>maybe have gotten mild or severe in particular, disease, and

0:32:14.400 --> 0:32:17.120
<v Speaker 2>are there long term health consequences they have, like lung

0:32:17.200 --> 0:32:18.560
<v Speaker 2>damage or other issues.

0:32:19.680 --> 0:32:22.520
<v Speaker 4>So the logic that I use is that anything that

0:32:22.600 --> 0:32:26.880
<v Speaker 4>damages the lung can cause long term consequences. So the

0:32:26.920 --> 0:32:29.560
<v Speaker 4>lung only knows how to do one thing when it's damaged,

0:32:29.560 --> 0:32:33.520
<v Speaker 4>and that's to scar down. And so that's why our

0:32:33.520 --> 0:32:36.520
<v Speaker 4>bodies have this lovely cough reflex so that all that

0:32:36.560 --> 0:32:39.560
<v Speaker 4>stuff doesn't go into our lungs and cost scarring and damage.

0:32:40.040 --> 0:32:43.200
<v Speaker 4>So when we have a virus that's infecting our lung cells,

0:32:43.280 --> 0:32:46.560
<v Speaker 4>then that's going to cause this scarring to happen, and

0:32:46.880 --> 0:32:49.760
<v Speaker 4>we potentially could see long term damage. But that's the

0:32:49.800 --> 0:32:52.600
<v Speaker 4>same as sort of anything that comes and damages the lung.

0:32:53.360 --> 0:32:57.440
<v Speaker 1>Okay, So another question that a lot of people had,

0:32:57.840 --> 0:32:59.959
<v Speaker 1>and I know we probably don't fully know the end

0:33:00.000 --> 0:33:02.560
<v Speaker 1>answer to this, but maybe we can sort of estimate

0:33:02.600 --> 0:33:06.000
<v Speaker 1>based on what we know so far about coronaviruses in

0:33:06.040 --> 0:33:10.200
<v Speaker 1>general or from you know, the previous outbreaks. Is do

0:33:10.240 --> 0:33:13.600
<v Speaker 1>we know about whether it seems possible to become reinfected

0:33:13.640 --> 0:33:16.240
<v Speaker 1>with this virus if you get it and then recover

0:33:16.320 --> 0:33:17.080
<v Speaker 1>from that infection.

0:33:18.120 --> 0:33:21.320
<v Speaker 4>Yeah, So I was just on another alumni call today

0:33:21.320 --> 0:33:24.040
<v Speaker 4>and have this very same question. We probably get this

0:33:24.160 --> 0:33:28.160
<v Speaker 4>question every day, and so in general we probably don't

0:33:28.200 --> 0:33:31.959
<v Speaker 4>know for sure. I think because this is a novel

0:33:32.000 --> 0:33:36.320
<v Speaker 4>coronavirus introduced to the population, we will likely understand more

0:33:36.440 --> 0:33:39.920
<v Speaker 4>because there's more attention to it. My understanding is that

0:33:39.960 --> 0:33:42.760
<v Speaker 4>when we have viral infections, we do become immune to them,

0:33:43.280 --> 0:33:46.440
<v Speaker 4>but remember that it depends on how systemically ill we

0:33:46.520 --> 0:33:50.200
<v Speaker 4>are as well. So you know, it's a complicated immunology

0:33:50.400 --> 0:33:53.800
<v Speaker 4>at this at our nasal source. Right. We talked already

0:33:53.800 --> 0:33:57.959
<v Speaker 4>about how trying to say the viral load from the

0:33:58.000 --> 0:34:01.880
<v Speaker 4>nose is not a very consistently sampled area, and so

0:34:01.920 --> 0:34:04.840
<v Speaker 4>I think in the same way that immunology may be

0:34:05.800 --> 0:34:09.600
<v Speaker 4>difficult to totally separate out because there may be an

0:34:09.680 --> 0:34:13.319
<v Speaker 4>aspect of our mucosal immunology that plays a large role

0:34:13.360 --> 0:34:15.799
<v Speaker 4>in whether or not that virus comes back to us. Right,

0:34:16.400 --> 0:34:19.120
<v Speaker 4>So we may have just symptomatically gotten through it, but

0:34:19.239 --> 0:34:22.560
<v Speaker 4>did we actually form true defense against it? And again,

0:34:22.600 --> 0:34:26.400
<v Speaker 4>I think, you know I would. I don't pretend to

0:34:26.400 --> 0:34:30.080
<v Speaker 4>know that much about immunology except the big picture stuff.

0:34:30.120 --> 0:34:32.160
<v Speaker 4>So I hope that was helpful.

0:34:32.800 --> 0:34:37.719
<v Speaker 2>Yeah, absolutely so. In our first episode on coronaviruses, we

0:34:37.920 --> 0:34:41.600
<v Speaker 2>ended it by asking you, what about this disease concerns

0:34:41.640 --> 0:34:44.359
<v Speaker 2>you and what about it you know, makes you say

0:34:44.440 --> 0:34:47.879
<v Speaker 2>hold off on the panic or maybe as reason for optimism.

0:34:48.120 --> 0:34:50.960
<v Speaker 2>Has your answer changed at all since that time?

0:34:51.600 --> 0:34:58.759
<v Speaker 4>My answer has changed, Dear Errands. I think that we

0:34:58.880 --> 0:35:02.879
<v Speaker 4>do see that it causes laura respiratory tract infection, much

0:35:03.000 --> 0:35:06.040
<v Speaker 4>like other viruses that we know, such as influenza, and

0:35:06.080 --> 0:35:08.799
<v Speaker 4>so I am happy to say that it's not as

0:35:08.880 --> 0:35:13.399
<v Speaker 4>severe as stars or mers, but it's not insignificant, and

0:35:14.040 --> 0:35:16.319
<v Speaker 4>we are seeing a lot of individuals you know, in

0:35:16.360 --> 0:35:21.640
<v Speaker 4>the hospital that have this. I think my optimism is

0:35:21.680 --> 0:35:26.960
<v Speaker 4>that I'm trying to be optimistic every day. The supply

0:35:27.120 --> 0:35:32.000
<v Speaker 4>chain issues and the personal finance issues and the childcare issues,

0:35:32.440 --> 0:35:34.960
<v Speaker 4>to me, are making this very personally difficult for a

0:35:35.000 --> 0:35:37.920
<v Speaker 4>lot of people. It's one thing to sort of have

0:35:38.000 --> 0:35:40.480
<v Speaker 4>a bad blue season and us to have sort of

0:35:40.520 --> 0:35:45.400
<v Speaker 4>sicker patients or more patients, but the personal protective equipment

0:35:46.000 --> 0:35:49.480
<v Speaker 4>and you know, no visitors to the hospital, all those

0:35:49.480 --> 0:35:53.960
<v Speaker 4>things really are stressing people personally. And so I'm just

0:35:54.320 --> 0:35:56.640
<v Speaker 4>trying to be optimistic that a lot of this social

0:35:56.680 --> 0:36:01.040
<v Speaker 4>isolation that we have implemented will act actually make a difference,

0:36:01.600 --> 0:36:03.440
<v Speaker 4>because you know, we're sort of, at least in Georgia,

0:36:03.480 --> 0:36:05.799
<v Speaker 4>we're sort of coming into the surge part of it

0:36:06.080 --> 0:36:09.120
<v Speaker 4>for our location, and I think everybody's going to go

0:36:09.239 --> 0:36:12.040
<v Speaker 4>through that and you know, have to just come out

0:36:12.040 --> 0:36:15.000
<v Speaker 4>on the other side. But there's a lot of things

0:36:15.000 --> 0:36:18.200
<v Speaker 4>that you know, when I was bubbly three weeks ago

0:36:18.320 --> 0:36:21.640
<v Speaker 4>or whenever that was, I could not have imagined the

0:36:21.680 --> 0:36:25.400
<v Speaker 4>stress of like not having swabs to test, or you know,

0:36:25.440 --> 0:36:28.320
<v Speaker 4>I could have understood and foreseen not having enough tests

0:36:28.480 --> 0:36:30.560
<v Speaker 4>or having a low throughput on test. That's something we

0:36:30.640 --> 0:36:35.719
<v Speaker 4>deal with with other scenarios that's not that uncommon. But

0:36:35.760 --> 0:36:40.520
<v Speaker 4>I think the financial personal tolls that are occurring in

0:36:40.560 --> 0:36:42.960
<v Speaker 4>the midst of trying this being very busy, like during

0:36:42.960 --> 0:36:45.600
<v Speaker 4>a respiratory season, it's been a lot more difficult. So

0:36:45.640 --> 0:36:49.239
<v Speaker 4>I'm just hoping that our interventions, while initially seeing meing

0:36:49.320 --> 0:37:00.360
<v Speaker 4>very dramatic, will actually sort of alleviate the stress.

0:37:21.239 --> 0:37:24.680
<v Speaker 2>That was fantastic. Thank you so much doctor Kraft for

0:37:24.760 --> 0:37:29.000
<v Speaker 2>joining us and taking time out of your ridiculously busy schedule.

0:37:29.120 --> 0:37:30.279
<v Speaker 2>We really appreciate it.

0:37:30.520 --> 0:37:32.200
<v Speaker 1>We can't believe that you made time for us. We

0:37:32.360 --> 0:37:33.680
<v Speaker 1>really really appreciate it.

0:37:33.880 --> 0:37:39.799
<v Speaker 2>Yeah, we do, all right. So things we learned. Number one,

0:37:40.800 --> 0:37:43.320
<v Speaker 2>one of the big gray areas that we didn't fully

0:37:43.360 --> 0:37:46.239
<v Speaker 2>know the answer to in our first coronavirus episode back

0:37:46.280 --> 0:37:49.480
<v Speaker 2>in February was whether or not people were infectious before

0:37:49.520 --> 0:37:53.200
<v Speaker 2>they were symptomatic, and whether there was asymptomatic spread or

0:37:53.239 --> 0:37:57.200
<v Speaker 2>even super mild infections contributing to the transmission. So in

0:37:57.239 --> 0:38:00.480
<v Speaker 2>this interview, we learned that although we don't know exactly

0:38:00.520 --> 0:38:03.320
<v Speaker 2>how much virus people might be shedding throughout their infection,

0:38:04.160 --> 0:38:09.160
<v Speaker 2>that there are asymptomatic or very mildly symptomatic individuals and

0:38:09.200 --> 0:38:12.680
<v Speaker 2>that they're contributing to the spread. That is super clear.

0:38:12.800 --> 0:38:16.880
<v Speaker 2>At this point, Doctor Kraft mentioned testing someone who seemed

0:38:16.920 --> 0:38:21.160
<v Speaker 2>perfectly healthy and finding a ton of virus in comparison

0:38:21.160 --> 0:38:23.879
<v Speaker 2>to someone else who was more severely ill and had

0:38:23.920 --> 0:38:26.880
<v Speaker 2>a lot less virus in their sample. And there are

0:38:26.960 --> 0:38:30.520
<v Speaker 2>some difficulties with this in terms of standardizing the test

0:38:30.640 --> 0:38:34.440
<v Speaker 2>and whether that person who had less virus did actually

0:38:34.520 --> 0:38:36.880
<v Speaker 2>have less virus. We don't know much about the viral

0:38:36.880 --> 0:38:40.600
<v Speaker 2>load changes throughout the infection, but this I still think

0:38:41.080 --> 0:38:44.919
<v Speaker 2>personally is alarming or at least is going to make

0:38:45.000 --> 0:38:48.560
<v Speaker 2>transmission of this disease much more difficult to stop. Absolutely,

0:38:49.239 --> 0:38:51.439
<v Speaker 2>And there was actually a nice modeling study that used

0:38:51.480 --> 0:38:54.640
<v Speaker 2>data from Muhan and fits some mathematical models to the

0:38:54.680 --> 0:38:58.160
<v Speaker 2>actual infection data, and it suggested that up to like

0:38:58.400 --> 0:39:02.239
<v Speaker 2>eighty six percent, eighty six percent of the spread of

0:39:02.239 --> 0:39:05.360
<v Speaker 2>infection was likely due to unidentified cases.

0:39:07.080 --> 0:39:07.880
<v Speaker 1>That's a lot.

0:39:08.239 --> 0:39:10.759
<v Speaker 2>It's a lot, And it makes sense that this is

0:39:10.800 --> 0:39:14.480
<v Speaker 2>possible if we know that asymptomatic or mild infections are

0:39:14.520 --> 0:39:15.680
<v Speaker 2>possible and common.

0:39:16.120 --> 0:39:20.719
<v Speaker 1>Absolutely. Number two. Another big thing I think to take

0:39:20.760 --> 0:39:24.080
<v Speaker 1>away from what we talked about with doctor Craft and

0:39:24.120 --> 0:39:26.520
<v Speaker 1>what we heard in the first hand account is that

0:39:26.920 --> 0:39:30.080
<v Speaker 1>in people who get severely ill from this disease, these

0:39:30.080 --> 0:39:35.240
<v Speaker 1>people really need to be hospitalized. And that's what's really

0:39:35.280 --> 0:39:38.279
<v Speaker 1>scary about this and why you hear a lot. And

0:39:38.320 --> 0:39:40.919
<v Speaker 1>we'll talk more in the future about why we're trying

0:39:41.040 --> 0:39:44.600
<v Speaker 1>so hard to flatten this curve, because if our hospitals

0:39:44.640 --> 0:39:48.600
<v Speaker 1>get overrun, then more people could die simply because there

0:39:48.600 --> 0:39:51.480
<v Speaker 1>aren't enough beds, or there aren't enough staff, or there

0:39:51.520 --> 0:39:55.200
<v Speaker 1>isn't enough equipment to actually care for them. So for

0:39:55.280 --> 0:39:58.440
<v Speaker 1>people that need to be hospitalized for supportive care, like

0:39:58.520 --> 0:40:01.120
<v Speaker 1>doctor Craft was talking about. But that means that these

0:40:01.120 --> 0:40:04.160
<v Speaker 1>people aren't able to breathe well enough on their own,

0:40:04.360 --> 0:40:06.799
<v Speaker 1>so they either need a tube down their throat and

0:40:06.840 --> 0:40:09.560
<v Speaker 1>to be on a respirator, or even if they don't

0:40:09.600 --> 0:40:14.680
<v Speaker 1>need that maximal support, they still need supplemental oxygen or

0:40:14.719 --> 0:40:17.600
<v Speaker 1>a positive pressure face mask. All of these things you

0:40:17.600 --> 0:40:21.160
<v Speaker 1>can only get in the hospital. And the other thing

0:40:21.600 --> 0:40:23.960
<v Speaker 1>is that even if people don't need help breathing, they

0:40:24.040 --> 0:40:26.960
<v Speaker 1>might end up needing ivy fluid support as well. When

0:40:27.000 --> 0:40:29.840
<v Speaker 1>you get sick, when you're not eating, not drinking normally,

0:40:30.000 --> 0:40:33.239
<v Speaker 1>and you're spiking high fevers, your body is working really

0:40:33.280 --> 0:40:35.200
<v Speaker 1>hard to fight off an infection and you can end

0:40:35.280 --> 0:40:40.160
<v Speaker 1>up severely dehydrated pretty quickly. So for some people, if

0:40:40.160 --> 0:40:42.640
<v Speaker 1>they get very sick, just drinking fluids isn't going to

0:40:42.640 --> 0:40:45.440
<v Speaker 1>be enough to repleate that volume. So another way that

0:40:45.480 --> 0:40:48.160
<v Speaker 1>we see supportive care in the hospital is support from

0:40:48.200 --> 0:40:51.160
<v Speaker 1>ivy fluids as well. And all of these are support

0:40:51.200 --> 0:40:54.600
<v Speaker 1>measures just to help your body get through this process,

0:40:54.960 --> 0:40:58.719
<v Speaker 1>not even addressing the virus itself. And we'll talk in

0:40:58.760 --> 0:41:01.000
<v Speaker 1>a future episode about what's being done on those types

0:41:01.000 --> 0:41:04.640
<v Speaker 1>of treatments, but I think understanding that people who get

0:41:04.680 --> 0:41:07.640
<v Speaker 1>severely ill really need the resources that are available in

0:41:07.680 --> 0:41:09.680
<v Speaker 1>hospitals is an important aspect.

0:41:09.360 --> 0:41:17.440
<v Speaker 2>Of this disease absolutely. Number three. So looking at these

0:41:17.480 --> 0:41:20.400
<v Speaker 2>different risk groups, I think there are a couple of

0:41:20.719 --> 0:41:23.440
<v Speaker 2>important things to keep in mind. One is that we

0:41:23.520 --> 0:41:26.640
<v Speaker 2>don't fully know the risks across different groups, and part

0:41:26.640 --> 0:41:28.719
<v Speaker 2>of that is because this is so new and we

0:41:28.719 --> 0:41:31.440
<v Speaker 2>don't have a ton of data. And another part is

0:41:31.480 --> 0:41:34.960
<v Speaker 2>that because, like doctor Rasmussen said in our episode about

0:41:34.960 --> 0:41:38.120
<v Speaker 2>the virus biology, there's a lot of variation in host

0:41:38.160 --> 0:41:41.600
<v Speaker 2>response that we can't always predict. On top of that,

0:41:41.719 --> 0:41:44.600
<v Speaker 2>we have these, as we mentioned, a bunch of these

0:41:44.680 --> 0:41:48.799
<v Speaker 2>asymptomatic or very mildly symptomatic individuals that are contributing to

0:41:48.800 --> 0:41:51.680
<v Speaker 2>the spread of this virus. That means that we all

0:41:51.800 --> 0:41:55.520
<v Speaker 2>kind of have to assume that we are potentially infectious

0:41:55.840 --> 0:41:58.840
<v Speaker 2>at any point, because it's our job to help protect

0:41:58.880 --> 0:42:02.200
<v Speaker 2>those around us that might be more vulnerable. And another

0:42:02.200 --> 0:42:03.920
<v Speaker 2>thing I want to point out is that in the

0:42:04.080 --> 0:42:07.840
<v Speaker 2>US so far, like thirty eight percent of people that

0:42:07.880 --> 0:42:11.439
<v Speaker 2>are hospitalized with COVID nineteen right now are under fifty five.

0:42:11.880 --> 0:42:13.800
<v Speaker 1>That's a lot of young people.

0:42:13.960 --> 0:42:16.600
<v Speaker 2>It's a lot. It's a lot, And I think that's

0:42:16.640 --> 0:42:20.600
<v Speaker 2>not necessarily been what the messaging has suggested in terms of, oh,

0:42:20.640 --> 0:42:23.960
<v Speaker 2>if you're not old, if you don't have underlying health conditions,

0:42:24.000 --> 0:42:26.759
<v Speaker 2>then you're safe. Which, first of all, that's kind of

0:42:27.360 --> 0:42:29.600
<v Speaker 2>mean to the people who are older and who do

0:42:29.719 --> 0:42:32.359
<v Speaker 2>have these underlying health conditions that you're like, oh, well,

0:42:32.440 --> 0:42:35.600
<v Speaker 2>you know, go ahead and die, I'm going to be fine, right, Like.

0:42:35.560 --> 0:42:38.280
<v Speaker 1>These are still human beings we're talking about.

0:42:38.080 --> 0:42:41.560
<v Speaker 2>Here, human beings. Yeah, And so I think that that

0:42:41.719 --> 0:42:45.720
<v Speaker 2>messaging that everyone is susceptible is really important and everyone

0:42:45.760 --> 0:42:49.160
<v Speaker 2>can possibly contribute to the spread of this disease exactly. So,

0:42:49.280 --> 0:42:53.719
<v Speaker 2>there was a nice retrospective analysis of this disease from

0:42:53.760 --> 0:42:57.640
<v Speaker 2>patients in Wuhan, and in this analysis, the median age

0:42:57.640 --> 0:43:00.800
<v Speaker 2>of people who were hospitalized with COVID was fifty six.

0:43:01.800 --> 0:43:05.239
<v Speaker 2>So although there are some good data that suggests that

0:43:05.320 --> 0:43:10.200
<v Speaker 2>older ages are especially at risk for dying from COVID nineteen,

0:43:11.239 --> 0:43:14.840
<v Speaker 2>this is by no means a disease only of older people,

0:43:15.239 --> 0:43:18.319
<v Speaker 2>and it's not only older people who become severely ill

0:43:18.400 --> 0:43:19.240
<v Speaker 2>from this virus.

0:43:20.920 --> 0:43:25.040
<v Speaker 1>Number four, speaking of who gets super sick, we also

0:43:25.120 --> 0:43:28.719
<v Speaker 1>talked with doctor Kraft about the case fatality rate. So

0:43:28.760 --> 0:43:32.879
<v Speaker 1>I'm going to define that really quickly. The case fatality

0:43:33.000 --> 0:43:35.640
<v Speaker 1>rate that you're probably hearing a lot about is the

0:43:35.760 --> 0:43:39.680
<v Speaker 1>number of deaths divided by the total number of cases

0:43:39.800 --> 0:43:43.480
<v Speaker 1>in a period of time. So that denominator, the total

0:43:43.560 --> 0:43:46.400
<v Speaker 1>number of cases in a period of time, is determined

0:43:46.400 --> 0:43:49.000
<v Speaker 1>by the number of people that we know are infected.

0:43:49.600 --> 0:43:52.000
<v Speaker 1>And as doctor Kraft said, in this case, if we're

0:43:52.040 --> 0:43:56.160
<v Speaker 1>only testing the most severely symptomatic people, then that denominator

0:43:56.239 --> 0:43:59.359
<v Speaker 1>is going to be small relative to the total number

0:43:59.400 --> 0:44:03.719
<v Speaker 1>of people who might actually be infected. So then the numerator,

0:44:03.760 --> 0:44:06.479
<v Speaker 1>the number on top the number of deaths, is going

0:44:06.520 --> 0:44:09.680
<v Speaker 1>to be proportionally larger. So the bottom line is, we

0:44:09.760 --> 0:44:14.280
<v Speaker 1>still don't know exactly how deadly this disease is, especially

0:44:14.280 --> 0:44:17.239
<v Speaker 1>here in the US where we're only testing severely ill individuals.

0:44:17.280 --> 0:44:21.760
<v Speaker 1>For the most part, we do have some preliminary data

0:44:22.080 --> 0:44:26.480
<v Speaker 1>in the US. This is from March sixteenth. This data,

0:44:27.000 --> 0:44:30.520
<v Speaker 1>it suggests that mortality is definitely highest in people over

0:44:30.800 --> 0:44:34.600
<v Speaker 1>eighty five, but in this group mortality ranges from ten

0:44:34.760 --> 0:44:39.960
<v Speaker 1>to twenty seven percent, and in people between sixty five

0:44:40.000 --> 0:44:43.160
<v Speaker 1>and eighty four, it ranged from three to eleven percent

0:44:44.200 --> 0:44:49.120
<v Speaker 1>and it went down from there. But again, all this

0:44:49.200 --> 0:44:51.400
<v Speaker 1>data is biased by the fact that we're only testing

0:44:51.440 --> 0:44:53.960
<v Speaker 1>the most severe cases. And as you've probably heard in

0:44:54.000 --> 0:44:56.520
<v Speaker 1>the news, the case fatality rate thus far has been

0:44:56.560 --> 0:44:59.439
<v Speaker 1>different in different countries, and that's likely because of both

0:44:59.480 --> 0:45:02.880
<v Speaker 1>differences in ages of the population that gets ill in

0:45:02.920 --> 0:45:06.719
<v Speaker 1>those countries, but also differences in their testing strategies as well.

0:45:07.600 --> 0:45:13.279
<v Speaker 2>Mm hmm, yeah, which brings us to number five. Our

0:45:13.360 --> 0:45:17.520
<v Speaker 2>last point, and that is that we do not have

0:45:17.960 --> 0:45:22.880
<v Speaker 2>enough resources period period. We don't have enough resources, and

0:45:22.920 --> 0:45:25.600
<v Speaker 2>that is super problematic, and it's no fault of the

0:45:25.600 --> 0:45:28.600
<v Speaker 2>clinicians or the laboratorians who are now faced with having

0:45:28.680 --> 0:45:31.400
<v Speaker 2>to decide who they can test with their limited supplies.

0:45:32.400 --> 0:45:35.680
<v Speaker 2>And the thing is, if we don't stem this infection,

0:45:36.000 --> 0:45:38.600
<v Speaker 2>that lack of supplies is only going to get worse.

0:45:39.320 --> 0:45:42.719
<v Speaker 2>And that's what we have seen in Italy. It's illustrated

0:45:42.719 --> 0:45:45.719
<v Speaker 2>this perfectly because in some areas they don't have enough

0:45:45.800 --> 0:45:48.759
<v Speaker 2>ventilators and they're having to decide who they're going to

0:45:48.800 --> 0:45:53.160
<v Speaker 2>intubate and ventilate. That's a decision that no physician should

0:45:53.160 --> 0:45:55.480
<v Speaker 2>ever have to make and We'll talk more in some

0:45:55.560 --> 0:45:58.000
<v Speaker 2>of our future episodes about what has led to the

0:45:58.080 --> 0:46:00.680
<v Speaker 2>shortage and why we are facing it. But there's no

0:46:00.840 --> 0:46:03.200
<v Speaker 2>doubt that it's making it harder to get this epidemic

0:46:03.320 --> 0:46:06.960
<v Speaker 2>under control, and it's an enormous stressor on hospitals and

0:46:07.000 --> 0:46:08.160
<v Speaker 2>healthcare workers.

0:46:08.520 --> 0:46:14.440
<v Speaker 1>Yeah, it's pretty major. Okay, sources, sources, Aaron, we have

0:46:14.480 --> 0:46:20.480
<v Speaker 1>a lot for this episode. So there was an article

0:46:20.480 --> 0:46:24.320
<v Speaker 1>by lower at All. All of these are from twenty twenty. Okay,

0:46:24.440 --> 0:46:27.520
<v Speaker 1>they're all written in the last month. There's an article

0:46:27.520 --> 0:46:30.360
<v Speaker 1>from Lawer at All that was in Annals of Internal Medicine.

0:46:30.760 --> 0:46:34.640
<v Speaker 1>From by at All in jama from Jao at All

0:46:35.400 --> 0:46:39.120
<v Speaker 1>in the Lancet. We've got one from Wu and Magoogin

0:46:39.400 --> 0:46:45.759
<v Speaker 1>in Jama Kong and Argowol in Radiology cardiothoracic Imaging. That

0:46:45.800 --> 0:46:47.840
<v Speaker 1>one's great if you want some pictures of those ground

0:46:47.840 --> 0:46:52.680
<v Speaker 1>glass opacities. Le at All in Science. And then the

0:46:52.719 --> 0:46:57.040
<v Speaker 1>CDC's MMWR report from March eighteenth is where I got

0:46:57.080 --> 0:46:59.959
<v Speaker 1>those numbers on the age stratified deaths in the US

0:47:00.120 --> 0:47:00.480
<v Speaker 1>so far.

0:47:01.400 --> 0:47:05.440
<v Speaker 2>So we'll post all of those references on our website.

0:47:05.480 --> 0:47:07.640
<v Speaker 2>This podcast will kill You dot Com so if you

0:47:07.680 --> 0:47:09.880
<v Speaker 2>want to read up a little bit more, you know

0:47:09.920 --> 0:47:10.640
<v Speaker 2>where to find them.

0:47:10.960 --> 0:47:14.440
<v Speaker 1>Yep. Thank you again to doctor Colleen Kraft for taking

0:47:14.480 --> 0:47:16.439
<v Speaker 1>the time out of your schedule to speak with us

0:47:16.480 --> 0:47:19.400
<v Speaker 1>and to share what you have learned with our listeners.

0:47:19.400 --> 0:47:22.000
<v Speaker 1>We really really appreciate it, we really do.

0:47:23.200 --> 0:47:25.719
<v Speaker 2>And thanks to Bloodmobile for providing the music for this

0:47:25.800 --> 0:47:27.640
<v Speaker 2>episode and all of our episodes.

0:47:28.200 --> 0:47:32.719
<v Speaker 1>And thank you for sticking through chapter two. We'll see

0:47:32.760 --> 0:47:36.480
<v Speaker 1>you next time chapter three.

0:47:37.600 --> 0:47:40.280
<v Speaker 2>Until chapter three, wash your hands.

0:47:40.000 --> 0:47:58.719
<v Speaker 3>You filthy animals.

0:48:00.760 --> 0:48:00.920
<v Speaker 1>Ou