1/
Should we use #molnupiravir (MOV) to treat #SARSCoV2 #COVID19?

With new @NIH treatment guidelines out, it's time to review the evidence behind them.

Here's #HowIReadThisPaper on the MOVe-OUT trial by Bernal et al in @NEJM

(Thread)

nejm.org/doi/full/10.10…
2/
How does this drug work?

MOV is a RNA nucleotide prodrug of n-hydroxycytidine, a cytidine analogue that is a potent mutagen for viruses.

It works by tricking viral RNA polymerase into making errors during replication.

nature.com/articles/s4159…
3/
In which patients was this drug studied?

1,433 unvaccinated outpatients

>18 years old

with symptomatic #COVID19

for <5 days

and at least one risk factor for severe disease:
4/
Patients were enrolled all over the world.

Median age in the 40s

Most common comorbidities: obesity, age >60, DM2

20% had prior infection (antibodies)

Half had Sx onset < 3 days

Most common variant: delta
5/
Patients were randomized to placebo or MOV x5 days.

Randomization was stratified by Sx duration <3 days

Primary outcome: absolute risk reduction (ARR) in all-cause hospitalization or death by day 29
6/
What were the main findings?

Primary outcome:

Interim ARR: ↓ 6% in hospitalizations & death
Final ARR: ↓ 3% in hospitalizations & death

Expressed as time-to-event:

HR 0.69 [95% CI 0.48-1.01]

Note that this confidence interval includes 1 (i.e., no effect)
7/
This was technically a positive study, but no one seems excited about MOV.

@NIH ranked it in last place in order of preference:

covid19treatmentguidelines.nih.gov/therapies/stat…

Why?

Let’s examine sources of chance and bias that could help us understand the results.
8/
First, gender balance in the treatment groups was unequal.

By chance, more women were in the MOV group, and more men were in the placebo group.

We know men are at ↑ risk for severe disease.

This could bias towards an effect of MOV.

(that is, gender could be a confounder)
9/
In fact, controlling for gender completely attenuated the association, and the primary outcome no longer reached statistical significance:

Adjusted ARR: ↓ 2.8% (95% CI, −5.7 to 0.1)

This means the benefit of MOV could be completely explained by the gender imbalance.
10/
Second, the subgroup analyses support that the effect size is small.

Two subgroups are particularly informative:

Sx duration < 3 days

Antibody status (prior infection)
11/
There was no benefit of MOV in the subgroup of patients with shorter symptoms.

Being an antiviral, if there was a real benefit to MOV, this is where you’d expect to see it.

Early benefit is the case with remdesivir and antivirals for other diseases like influenza.
12/
Also, benefit was concentrated in patients without prior infection.

This is not surprising, but it is informative:

If the immunity of prior infection is enough to attenuate the effect of MOV, this suggests the benefit is substantially less than that from vaccination.
13/
Why did the effect size drop by 50% from the interim to the final analysis?

This is not really clear to me. I would love to hear any ideas.

One possibility is that the highest risk patients were already vaccinated and thus ineligible for the trial.
14/
Further, long-term risks of mutagenesis are not addressed in this study.

Given its mechanism, there is also some concern about MOV causing teratogenicity in humans.

In fact, the FDA EUA recommends contraception for 3 months after the last dose:

fda.gov/news-events/pr…
15/
In light of these problems, MOV is recommended for use only if no other options are available.

Note that other recommended drugs (e.g. remdesivir, sotrovimab) and as-yet not-recommended drugs (e.g. fluvoxamine) have performed as well or better, with fewer safety concerns.
16/
One important silver lining:

Because MOV targets the viral RNA polymerase, mutations in the spike protein between different variants are unlikely to affect its efficacy.

This could make MOV a valuable tool for future variants with a high degree of immune escape.
17/
Bottom line:

MOV modestly reduced hospitalizations and death at day 29 in high-risk outpatients with #COVID19.

However, this benefit could be entirely due to confounding by gender.

Subgroup analyses suggest any real benefit is likely to be very small.

(End)
18/
My deepest thanks to @branchwestyn and Dr. Amanda Westlake for their thoughtful peer review.

If you haven't already, please read the paper and contribute to the discussion below!

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More from @rbganatra

28 Nov 20
1/
My appraisal of the Danish mask study (DANMASK-19): This was a negative trial - masks were not shown to prevent #COVID19.

Could chance or bias make this outcome more likely?
Does this mean we don’t need to wear masks?

Let’s take a deeper look.

#HowIReadThisPaper

(Thread)
2/
Before beginning, if you have not already done so, I implore you - read the paper!

acpjournals.org/doi/10.7326/M2…

Then, come back, and please comment, add what I have missed, and correct me where I am wrong.

Critical appraisal is a group effort.
3/
First, let’s agree on what was tested:

The hypothesis was that the recommendation to wear masks (added to other public health measures) would reduce the incidence of COVID19 among wearers from 2% to 1% over 1 month, in a setting where mask use was uncommon (Denmark).
Read 24 tweets
25 Jul 20
1/
#SARSCoV2 #COVID19 got you down? Me too.

Ready for some good news? Here it is: #Dexamethasone (dex) works.

But when, how much, and for which patients?

Here’s #HowIReadThisPaper on Horby et al: the RECOVERY trial prelim report: nejm.org/doi/full/10.10…

(Thread)
2/
Already read the paper, just want the appraisal? Go here:

Haven’t read it yet? Here are the highlights.

Based on my very informal poll, here’s how twitter respondents indicated they are using dex in COVID19 patients as of mid-July 2020:
3/
Background: COVID19 can induce a deadly hyper-inflammatory host response.

Prior observational data (↓quality, ↑risk of confounding by indication) suggested ↑mortality from steroids in influenza: pubmed.ncbi.nlm.nih.gov/30798570/

The role of steroids in treating COVID19 is unknown.
Read 17 tweets
25 Jul 20
1/
My appraisal of the RECOVERY trial: This was a (very) positive study.

How could chance or bias affect the validity of these results?
What was missing?
How should we apply these results?

Let’s take a deeper look.

#HowIReadThisPaper
2/
Regarding bias: Strict inclusion/exclusion criteria can introduce selection bias by creating a highly selected study population.

This was NOT so in RECOVERY.

In figure 1, we see that 83% of recruited* patients were ultimately included.

(*assuming “recruited” = “screened”)
3/
Amazingly, ~15% of all patients hospitalized for COVID19 in the UK during the study period were included in this trial.

No other Tx trial for COVID19 even comes close to that level of representation.

→These results should generalize broadly to hospitalized patients.
Read 15 tweets
30 May 20
1/
How common is loss of smell (anosmia) in #SARSCoV2 #COVID19, and how useful is it for ruling the diagnosis in or out? Let’s take a look at the data.

Here’s a quick #HowIReadThisPaper on two @AnnalsofEM papers addressing this question:

Chua et al

&

Peyroney et al

(Thread)
2/
First, a question:

Let’s assume you have a limited supply of swabs and need to prioritize which patients to test for COVID19.

In which skilled nursing facility (SNF) setting would you expect anosmia to be more useful in identifying patients who will test positive?
3/
Chua et al annemergmed.com/article/S0196-…

Question: What are the test characteristics of acute olfactory loss (hyposmia or anosmia for <14d) for Dx of COVID19, using oropharyngeal PCR as the gold standard?

Design: single-center cross-sectional study via chart review (retrospective)
Read 17 tweets
23 May 20
1/
Should we use #Lopinavir-ritonavir (LPV/r) + #Ribavirin (RBV) +/- #Interferon beta-1b (IFN) to treat #SARSCoV2 #COVID19? Let’s take a look at the data.

Here’s: #HowIReadThisPaper on @TheLancet trial of triple therapy for COVID19

Hung et al: thelancet.com/journals/lance…
2/
First, let’s assess our baseline beliefs about triple therapy:

Before reading this study, when considering triple therapy as a treatment for patients with COVID19, I think the most important component is likely to be:
3/
Background: A 2003 case series suggested ↓mortality (vs historical controls) in SARS patients treated with LPV/r + RBV :

ncbi.nlm.nih.gov/pmc/articles/P…

In 2015, LPV/r and IFN led to ↓viral load and improved clinical outcomes in animal models of MERS:

pubmed.ncbi.nlm.nih.gov/26198719/
Read 30 tweets
10 May 20
1/
Should we use #Remdesivir (RDV) to treat #SARSCoV2? #COVID19 Let’s take a look at the data.

Here’s: #HowIReadThisPaper on the @Lancet trial of RDV for COVID19 in humans

Wang et al: thelancet.com/journals/lance…

(Thread)
2/
First, let’s assess our baseline beliefs about RDV.

Before reading this study, when considering remdesivir as a treatment for patients with severe #COVID19, I think the:
3/
Background: There are currently no effective antivirals for patients with severe COVID19.

RDV, a nucleotide analogue, has broad antiviral activity against many coronaviruses in vitro.

This is the first published clinical trial of RDV for #COVID19 in humans.
Read 30 tweets

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