1/ Covid (@UCSF) Chronicles, Day 177

Nice to re-start our Covid grand rounds today. Available here: tinyurl.com/yyw5myns. We covered a range of epi issues (the shape of the pandemic, changing mortality rate of Covid) and highlighted a novel new therapeutic approach: AeroNabs.
2/ @UCSFHospitals: continued good news, with fewer hospitalized pts (23, w/ 7 on vents), lowest since June (Fig on L). Test positivity 2.7%: 4.7% in pts w/ symptoms (down); 0.9% in pts w/o (a bit up) (Fig R). Sx/Asx ratio usually ~10:1; not sure what 5:1 ratio means. Prob a blip.
3/ SF: daily case rate down to 68, half of the peak in July (Fig on L). Total of 88 deaths since March; more on this amazing # later. SF case positivity rate 2.1%. SF hospitalizations also going in right direction: 65 total, also ~half of peak in July (Fig R).
4/ On to Grand Rounds: @ 11:30, CA data (below) by @Rutherford_UCSF: daily cases down to ~4000 (vs peak of 10K). Deaths also down, now <100/day for first time since July. Along w/ southern states (TX, FL, AZ), CA is improving – a big part of reason why U.S. case rate is falling.
5/ @ 7:00, George reviewed the (somewhat controversial) study that found that Sturgis Motorcycle Rally was the nation’s biggest superspreader event ever. Early on, we had no idea of how superspreading happened: was it about viral load, or anatomy, ventilation, or something else?
6/ @ 8:50, George reviews current thinking on how superspreading happens. Seems to be a combo of very infectious person happening to come in close contact with a crowd. “It’s just a matter of luck and timing." (Timing: days 4-6 after exposure is highest risk for spreading).
7/ @ 18:50, George reviewed CA’s new “Blueprint for a Safer Economy,” a more conservative plan for opening up the state. Summary below – key change is that the bar for counties to move toward more openness is higher, w/ need for 2 weeks of good performance before changing tiers.
8/ As prelude to next week’s Grand Rounds (on vaccines), @ 22:00 George reviews the 3 major vaccine candidates; @AstraZeneca vaccine on hold due to pt w/ prob. transverse myelitis. Interesting fact: only 1 vaccine (for inhalational anthrax) has ever received EUA from @US_FDA.
9/ Finally, moving toward @MonicaGandhi9’s talk on Covid's falling mortality rate, George (@ 18:00) showed fig below, which shows that SF not only has low case rate (though not as low as Seattle’s) but has had, by far, lowest rate of deaths/case (0.87%) of major U.S. cities.
10/ Monica’s talk focused on the changing mortality rate in Covid. @ 35:00, here are amazing data from Spain (left) and UK (right) highlighting the striking fall in case-fatality rate. What’s going on? Younger age? Mask wearing? Immunity? Better treatments and approaches?
11/ Clearly (@ 37:00) Covid has shifted to younger people, & mortality is tightly linked to age, as per CDC diagram (on L). But these data from Germany (Fig R, @ 38:50) show falling mortality rate in each age group. Doesn’t look like age completely explains falling mortality.
12/ So, is it masking? @ 39:40, Monica reviews her hypothesis that masks lead to lower viral inocula, which then leads to milder disease. She presented virologic evidence (@ 41:00) & epi evidence (below). Also, cities that have more masking (such as SF) have lower mortality rate.
13/ Next, is immunity involved? Answer (@ 49:30) is also probably yes – per Monica and George’s interesting article in today’s @NEJM (tinyurl.com/y4bf9c8l), masking probably leads to the development of immunity in some people via low-grade viral exposure.
14/ Of course, therapies have made a difference – not just steroids & remdesivir but also less overwhelmed hospitals. Whereas NYC hospitals were crushed in March, few hospitals were overwhelmed in June/July (@ 56:00). This too is likely part of the explanation.
15/ @ 52:00, far-ranging Q&A w/ Monica and George. Monica clarifies that, even with falling mortality, a) Covid is still worse than flu; b) no evidence that viral mutations have made it milder; and c) improvements would evaporate if people stopped wearing masks and distancing.
16/ Next @ 1:01:50: @AashishManglik on an innovative approach to Covid prevention. It’s a great story of scientific discovery: in a few months, dozens of @UCSF scientists & students discovered a novel way to block the virus’s ability to gain purchase to our respiratory tract…
17/ …then, inspired by the llama’s immune system, they tested billions of nanobodies to find the one best able to bind the SARS-CoV-2 spike protein; found a way to build a molecule that would be stable in aerosol form & have high affinity for spike protein; and then tested it.
18/ While this video is a bit simplistic, it is a nice depiction of the concept and its potential tinyurl.com/yydrxu72. At this point, the @UCSF investigators are working with industry in an effort to commercialize their discovery. The approach seems promising.
19/ @ 1:15:20, I asked Aashish re: clinical use. While I would have guessed that its main use would be in prevention (perhaps after high-risk exposures or in people at very high risk for Covid & bad outcomes), he also discussed its possible use early in the course of infection….
20/ ...since the virus’s spike protein (target of the nanobody) needs to bind to ACE-2 receptors to multiply and do its damage. Of course, finding people on the first day of their infection is a non-trivial problem – it requires a testing infrastructure that we currently lack.
21/ @ 1:24:00, I asked about whether the prospect of vaccines might make AeroNabs less commercially viable. I agree with his answer: even if we have a credible (non-politically determined) approval of a vaccine that is >50% effective sometime in the next 3 months …
22/ ... we’re still looking at a year before we will have widespread distribution of the vaccine. And we may have a vaccine uptake of only 40-60%. So, if AeroNabs pan out, they could easily find a major role in 2021, notwithstanding good (and hoped for!) progress on vaccines.
23/ Another great session, again here: tinyurl.com/yyw5myns. Next week, all-thing-vaccines w/ @PeterHotez.

Moving my weekly long tweet thread to Mondays; this Monday I'll focus on changing nature–& growing challenge–of risk assessment as we try to live our lives. Stay safe.

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More from @Bob_Wachter

9 Sep
If @nytimes report is correct that diagnosis in vaccine recipient is transverse myelitis (TM), then level of concern goes up tinyurl.com/yygkas9s Why? First, biologic plausibility: an immunologically-mediated attack is what we worry about re: vaccine side effects (1/4; Thread)
Second, transverse myelitis is fairly unusual, with estimated 24 cases/million in U.S. (if you include transverse myelitis that turn out to be initial presentation of multiple sclerosis, and not just isolated transverse myelitis, which is even rarer) tinyurl.com/y4dugqg7 (2/4)
Via back-of-envelope math, over 2 months, among 15,000 people (approximate # that have been vaccinated; ~half of 30K in the trial; the other half get placebo), the baseline expectation is that 0.06 pt would get TM in absence of vaccine. So concern re: cause & effect is real (3/4)
Read 4 tweets
5 Sep
1/ Covid (@UCSF) Chronicles, Day 171

Ending 2 weeks off in (totally) smoke-free & (relatively) Covid-free New Hampshire. As I resurface, I’m reminded of the scene in Hamilton in which Jefferson, after 5 yrs in Paris, asks “What’d I miss?” tinyurl.com/y5a87hna Answer: plenty.
2/ I’ll start with an update on local numbers, then segue to the most meaningful events and trends since mid-August. I’ll focus on 3 biggies: the phase of the pandemic, testing, & vaccines. Of course, in today's world, you can’t talk about any of it without talking politics too.
3/ Beginning with @UCSF and SF: things are looking pretty good. @UCSFHospitals, 28 cases, 6 on vents (Fig L). While not matching our lows of May/June, big improvement from last mth. Case positivity rate also down by ~50% (Fig R): 5.65% in pts w/ symptoms; 0.65% in asymptomatic.
Read 25 tweets
22 Aug
1/ Covid (@UCSF) Chronicles, Day 157

We’re only 6 months into Covid in the U.S., a little early for déjà vu, but I’m definitely experiencing it – the calm-before-the-storm feeling I had in May, as the numbers fell in the Northeast and we thought that we were over the worst.
2/ Today, after SF updates, I’ll lay out my thinking about what the next few months may have in store, including the prospects of another surge. I’m worried that September will be mellow – just as May was – and we’ll let our guard down… only to be slammed again in October.
3/ @UCSFHospitals, 30 pts, 6 on vents (Fig L). Test positivity rate 2.6%; 9.1% in pts w/ symptoms; 1.15% in pts w/o (Fig R). All of these numbers are up a bit in the last month. We have plenty of capacity, but it would be good to come down from these too-high plateaus.
Read 24 tweets
15 Aug
1/ Covid (@UCSF) Chronicles, Day 150

Today, 150 days since I began my Covid tweets, I’m going to do something odd: write the speech that Trump should give. I have no faith he’ll do so, but it’s worth recognizing how little it would take to change course & save lives. Here goes:
2/ My fellow Americans:
3/ It’s been six months since the coronavirus – the virus that causes Covid-19 – first entered our country. In that time, the disease has killed more than 160,000 of our fellow citizens, sickened millions, devastated our economy, & exposed a number of fault lines in our society.
Read 25 tweets
14 Aug
1/ Covid (@UCSF) Chronicles, Day 149

Grand rounds today: . As we hit Covid’s 6 month mark in the U.S., we’re desperate for innovative approaches. Today, I decided to focus on 3 impressive ones – across a range of disciplines: testing, epi, & narrative.
2/ First, local updates. Things are still OK @UCSF, SF, & CA. @UCSFHospitals, 29 pts, only 5 on vents (Fig) – lowest vent # in about a month. Interestingly, @ZSFGCare (our county hospital) has more Covid: 38 pts, 14 vents. In March/April, UCSF & ZSFG tended to run about even…
3/ …so this is likely another sign that Covid is hitting underserved populations more heavily, since ZSFG is city’s safety net hospital. SF is averaging 91 cases/d, down ~30% from peak last mth (Fig on L). Hospitalizations up a bit @ 94 (Fig R), but still well below peak of 114.
Read 25 tweets
8 Aug
1/ Covid (@UCSF) Chronicles, Day 143

Happy Friday. Today I’ll begin with a deeper-than-usual dive into our local situation: SF, @UCSF, and CA. I’ll follow with a few observations from my recent stint caring for patients on the wards @UCSFHospitals.
2/ @UCSF & SF trending better. @UCSFHospitals, 29 pts (lowest since July 27), 9 on vents (Fig L). Fig R is admits/discharges, showing more d/c’s. Avg length of stay is 8d for non-ICU pts, 22d for ICU pts, which explains lag between less virus in community & fewer hosp pts.
3/ Overall @UCSF case-positivity rate is 2.4%. Rates in pts with Covid symptoms (6.55%) & without (0.57%) both falling. Latter # is my quick-&-dirty way of estimating the odds that a person on a SF elevator with me is infected. Not quite at May levels (~0.3%), but getting closer.
Read 25 tweets

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