HCQ, azithro +/- zinc.
Remdisivir for more severe
earlier start the better
Remdisivir for more severe
earlier start the better
2wealfth Man said:
Anyone hearing anything about an anti-inflammatory called Actemra. Seems the Chinese are seeing good results with off label use of this as well.
2wealfth Man said:
Anyone hearing anything about an anti-inflammatory called Actemra. Seems the Chinese are seeing good results with off label use of this as well.
Marcus Aurelius said:
HCQ, azithro +/- zinc.
Remdisivir for more severe
earlier start the better
Marcus Aurelius said:
https://www.gilead.com/purpose/advancing-global-health/covid-19
Gilead mass manufacturing. Despite large phase III trials. Desperate times. Liver toxicity is major concern with this drug. Conundrum because transaminitis commonly seen with COVID-19 infection to start with.
KidDoc said:Holy crap I never thought of that. Very interesting.longeryak said:
Explains why south of the equator malaria areas haven't been hit.
Shumba said:
What if you are allergic to z strips? I had an allergic reaction to erythromycin as an infant (at least that is what my mother has told me for years) and I've always avoided anything n the mycin family. Any alternatives for this treatment?
Infection_Ag11 said:Shumba said:
What if you are allergic to z strips? I had an allergic reaction to erythromycin as an infant (at least that is what my mother has told me for years) and I've always avoided anything n the mycin family. Any alternatives for this treatment?
I have good news for you: 95% of patient reported drug "allergies" aren't real and the ones that were in childhood usually resolve with age anyway.
Nearly all drug allergies reported by patients are dirty filthy lies.
Dr. Not Yet Dr. Ag said:Infection_Ag11 said:Shumba said:
What if you are allergic to z strips? I had an allergic reaction to erythromycin as an infant (at least that is what my mother has told me for years) and I've always avoided anything n the mycin family. Any alternatives for this treatment?
I have good news for you: 95% of patient reported drug "allergies" aren't real and the ones that were in childhood usually resolve with age anyway.
Nearly all drug allergies reported by patients are dirty filthy lies.
Been saying this to patients in the ER for years. Penicillin allergies are mostly BS. Cross reactivity with cephalosporins is not a thing for the large majority of patients. Let's stop claiming iodine allergies, as well.
Good post SCD.scd88 said:
I took quinine pills once a week before and after my trip to India over the Christmas holidays. Local Indians don't take this malaria prevention pill.
PikesPeakAg said:
We have a solid decade plus of training physicians who know how to treat the labs and not the patient. Stopping the drug if it becomes the mainstay treatment for COVID 19 for a low level LFT abnormality would be a poor choice.
The South Korea number of cases is interesting. Have they plateaued? There seems to be little movement and what movement there is seems to be improvement. Why? They have been very aggressive in testing provding good date. If a hydoxychloroquine based regimen is their preferred treatment is this the reason? A population of 50 million should have had more cases than this. Also their mortality is something in the order of 0.4-0.6% Impressive and well done so far.
I think saying it is airborne gives the wrong impression of how contagious it is.Marcus Aurelius said:
Primary method of transmission is respiratory droplets. So it is airborne. It has been shown to last viable in air for 3 hrs. BIPAP, high flow nasal cannula O2 and nebulizers are contraindicated as they have been shown to increase aerosolization of the virus.
Quote:
Exceptionally poor design of a trial: Irrelevant choice of end point. How will an earlier negative swab translate into a reduced transmission rate if the shedding occurs while in the pre-symptomatic phase? How will this help the people who need treatment most - those with respiratory failure due to severe disease? Studies need to focus on significantly modifying survival in those with the most severe disease - not excluding the patients that go on to ITU.
Quote:
I attempted to reproduce Tables 2 and 3 (R code included at the end of the post), and obtained these results:
Table 2, Day 3: reported p=0.005, calculated p=0.0136 Table 2, Day 4: reported p=0.04, calculated p=0.0780 Table 2, Day 5: reported p=0.006, calculated p=0.0148 Table 2, Day 6: reported p=0.001, calculated p=0.0019
Table 3, Day 3: reported p=0.002, calculated p=0.0019 Table 3, Day 4: reported p=0.05, calculated p=0.0429 Table 3, Day 5: reported p=0.002, calculated p=0.0025 Table 3, Day 6: reported p<0.001, calculated p=0.0005
That is, Table 3 was more or less reproduced, but Table 2 wasn't; most of my p values are around twice the ones in the preprint.
Of the 8 tests, 5 produced warnings because chisq.test() doesn't like cell values of 0 or 1. Using fisher.test() from the "stats" package got rid of the warnings and caused some of the Table 2 p values to move towards the ones in the preprint, but only one (Day 6) got close. It isn't clear to me why one would use Fisher's Exact Test here --- my understanding is that it is not sufficient to invoke per-cell numbers of less than 6, as many authors seem to do, but I don't have a reference to hand for that.
Quote:
The study started with 26 patients who received Hydroxychloroquine (with or without Azithromycin), and 16 controls. Viral presence/absence at day 6 were considered the primary endpoint.
Data from only 20 treated patients are given. The data for these 20 patients looks incredibly nice; especially the patients who were given both medications all recovered very fast.
The other 6 treated patients dropped out of the study. Of these, 3 were transferred to the intensive care unit (presumably because they got sicker) and 1 died. The other two patients were either too nauseous and stopped the medication, or left the hospital (which might be a sign they felt much better).
Quote:
Here is another question.
The protocol for the treatment was approved by the French National Agency for Drug Safety on March 5th 2020. It was approved by the French Ethic Committee on March 6th 2020. The paper states that patients were followed up until day 14. The paper was published on March 20th.
Quote:
I extracted data from both figures and reconstructed sample sizes from Figure (1) ; proportions are shown; multiplied by the correct sample size, one should find integers. I found n=13 for the HQL-only treatment, and n=7 for the HQL+AZT treatment. The preprint however reports n=14 and n=6 respectively. What happened to the patient who was treated HQL+AZT in the talk and HQL-only in the preprint?
Quote:
To follow up the question above, how certain the authors are the negative results they have got are actually negative but not the false negative? This control group seemingly have high false negative results. Have you considered validating the PCR tests?
That seems pretty shady to leave that info out of the summary.Ranger222 said:
Be careful with the French paper that is being passed around to support use of this treatment...it has a LOT of problems....
People actively reviewing the paper HERE
Some excerpts --Quote:
Exceptionally poor design of a trial: Irrelevant choice of end point. How will an earlier negative swab translate into a reduced transmission rate if the shedding occurs while in the pre-symptomatic phase? How will this help the people who need treatment most - those with respiratory failure due to severe disease? Studies need to focus on significantly modifying survival in those with the most severe disease - not excluding the patients that go on to ITU.Quote:
I attempted to reproduce Tables 2 and 3 (R code included at the end of the post), and obtained these results:
Table 2, Day 3: reported p=0.005, calculated p=0.0136 Table 2, Day 4: reported p=0.04, calculated p=0.0780 Table 2, Day 5: reported p=0.006, calculated p=0.0148 Table 2, Day 6: reported p=0.001, calculated p=0.0019
Table 3, Day 3: reported p=0.002, calculated p=0.0019 Table 3, Day 4: reported p=0.05, calculated p=0.0429 Table 3, Day 5: reported p=0.002, calculated p=0.0025 Table 3, Day 6: reported p<0.001, calculated p=0.0005
That is, Table 3 was more or less reproduced, but Table 2 wasn't; most of my p values are around twice the ones in the preprint.
Of the 8 tests, 5 produced warnings because chisq.test() doesn't like cell values of 0 or 1. Using fisher.test() from the "stats" package got rid of the warnings and caused some of the Table 2 p values to move towards the ones in the preprint, but only one (Day 6) got close. It isn't clear to me why one would use Fisher's Exact Test here --- my understanding is that it is not sufficient to invoke per-cell numbers of less than 6, as many authors seem to do, but I don't have a reference to hand for that.Quote:
The study started with 26 patients who received Hydroxychloroquine (with or without Azithromycin), and 16 controls. Viral presence/absence at day 6 were considered the primary endpoint.
Data from only 20 treated patients are given. The data for these 20 patients looks incredibly nice; especially the patients who were given both medications all recovered very fast.
The other 6 treated patients dropped out of the study. Of these, 3 were transferred to the intensive care unit (presumably because they got sicker) and 1 died. The other two patients were either too nauseous and stopped the medication, or left the hospital (which might be a sign they felt much better).Quote:
Here is another question.
The protocol for the treatment was approved by the French National Agency for Drug Safety on March 5th 2020. It was approved by the French Ethic Committee on March 6th 2020. The paper states that patients were followed up until day 14. The paper was published on March 20th.Quote:
I extracted data from both figures and reconstructed sample sizes from Figure (1) ; proportions are shown; multiplied by the correct sample size, one should find integers. I found n=13 for the HQL-only treatment, and n=7 for the HQL+AZT treatment. The preprint however reports n=14 and n=6 respectively. What happened to the patient who was treated HQL+AZT in the talk and HQL-only in the preprint?Quote:
To follow up the question above, how certain the authors are the negative results they have got are actually negative but not the false negative? This control group seemingly have high false negative results. Have you considered validating the PCR tests?