Posted on 03/19/2020 8:08:58 AM PDT by SeekAndFind
Interesting. It appears “several patients exited the study when they were transferred to ICU...”.
Democrats soon to be crying
RE: It appears “several patients exited the study when they were transferred to ICU...”.
Can you show us the link please. Thanks.
It’s in the article. Right up above in red.
Funny. When I was in Med School we learned a doctor follows his patient where he goes in the hospital.
FROM THE LINK PROVIDED IN THE ARTICLE:
We enrolled 36 out of 42 patients meeting the inclusion criteria in this study that had at least
six days of follow-up at the time of the present analysis.
A total of 26 patients received
hydroxychloroquine and 16 were control patients.
Six hydroxychloroquine-treated patients
were lost in follow-up during the survey because of early cessation of treatment. Reasons are as follows:
* three patients were transferred to intensive care unit, including one transferred on day2 post-inclusion who was PCR-positive on day1,
* one transferred on day3 post-inclusion who was PCR-positive on days1-2 and
* one transferred on day4 post-inclusion who was PCR-positive on day1 and day3;
* one patient died on day3 post inclusion and was PCR-negative on day2;
* one patient decided to leave the hospital on day3 post-inclusion and was PCR-negative on days1-2;
* finally, one patient stopped the treatment on day3 post-inclusion because of nausea and was PCR-positive on days1-2-3.
The results presented here are therefore those of
36 patients (20 hydroxychloroquine-treated patients and 16 control patients). None of the control patients was lost in follow-up.
Basic demographics and clinical status are presented in
Table 1. Overall, 15 patients were male (41.7%), with a mean age of 45.1 years. The proportion of asymptomatic patients was 16.7%, that of patients with URTI symptoms was 61.1% and that of patients with LRTI symptoms was 22.2%).
All patients with LRTI symptoms, had confirmed pneumonia by CTScan. Hydroxychloroquine-treated patients were
older than control patients (51.2 years vs. 37.3 years).
No significant difference was observed
between hydroxychloroquine-treated patients and control patients with regard to gender, clinical status and duration of symptoms prior to inclusion (Table 1).
You don’t go on Tucker and gush “100%” and then publish this. Sorry, this is a big red flag. At least they were honest enough to admit it. You follow the patient wherever they go, even to the morgue. Especially to the morgue if you are going to go on Tucker and claim 100%.
And the media crow is now being served.
Generic Name: azithromycin (oral/injection) (a ZITH roe MYE sin)
Brand Name: Azithromycin 3 Day Dose Pack, Azithromycin 5 Day Dose Pack, Zithromax, Zithromax IV, Zithromax TRI-PAK, Zithromax Z-Pak
Any lefties in positions of power at the FDA will stall the release of any cure long enough to (they hope) affect the election.
Is such a conclusion warranted? "Correlation does not imply causation" comes to mind here.
You enter people into a study you follow them. Who knows? The damned drugs may work. I hope it does (while hoping they find a better one fast because these a horrible drugs). But you just don’t do this, at least where I came from. If there was a death, I don’t care if they never got the damn drug, if they were registered they contribute to the data. If you publish this you defend it by saying “We did blah blah ...86% or whatever”. But you don’t rush out and breathlessly announce “100%”. It absolutely wreaks of snake oil and it’s a shame.
My instinct is to ignore this paper. Sounds to me like they heard someone else was going to beat them to press so they jumped out and went full retard. I am certain to a moral certainty had I ever told my chairman “we didn’t include him, he died”, I would have been fired on the spot.
President Trump was talking a while this morning about the drug and there are supposedly other drugs that are used in other countries
RE: Six hydroxychloroquine-treated patients were lost in follow-up during the survey because of early cessation of treatment.
WHY did they cease the treatment? That’s the question.
SIDE EFFECTS? Cure worse than the disease?
They need to explain the reason.
What?? You weren’t taught to eliminate the outliers in your data sets? I’d say “dead” is a serious outlier.
Dear God I hope you are joking.
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