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No need to read beyond the title =0
Omg!!! That's how they were keeping people sick in the hospitals
This is horrendous
Press link it will still open
View: https://twitter.com/DrLoupis/status/1663961308352618499?t=WhkSfJgLREx2HWIxk_UEoQ&s=19
I
It opens to the twitter thread, but how do you see what they are talking about?
No. It went to comments other tweeters. No "show" buttonView attachment 51145 you dont see this??
And even now as I click your "view 51145" link it does go to this page, but will not activate the "show" command. Its ok, I guess you get the idea by reading the tweets. Its just so unimaginable that a human could believe they can "change". We have devolved.View attachment 51145 you dont see this??
theres so much censorship and shadowbanning on twitter these days. if anything its got worse since musk took over, although lots of good people got their accounts back theyre getting 10% of their normal reachNo. It went to comments other tweeters. No "show" button
BACKGROUND. Despite guidelines promoting the prevention and aggressive treatment of ventilator-associated pneumonia (VAP), the importance of VAP as a driver of outcomes in mechanically ventilated patients, including patients with severe COVID-19, remains unclear. We aimed to determine the contribution of unsuccessful treatment of VAP to mortality in patients with severe pneumonia.
METHODS. We performed a single-center prospective cohort study of 585 mechanically ventilated patients with severe pneumonia and respiratory failure, 190 of whom had COVID-19, who underwent at least one bronchoalveolar lavage. A panel of ICU physicians adjudicated pneumonia episodes and endpoints based on clinical and microbiologic data. Given the relatively long ICU length of stay among patients with COVID-19, we developed a machine learning approach called CarpeDiem, which groups similar ICU patient-days into clinical states based on electronic health record data.
RESULTS. CarpeDiem revealed that the long ICU length of stay among patients with COVID-19 is attributable to long stays in clinical states characterized primarily by respiratory failure. While VAP was not associated with mortality overall, mortality was higher in patients with one episode of unsuccessfully treated VAP compared with successfully treated VAP (76.4% versus 17.6%, P < 0.001). In all patients, including those with COVID-19, CarpeDiem demonstrated that unresolving VAP was associated with transitions to clinical states associated with higher mortality.
CONCLUSIONS. Unsuccessful treatment of VAP is associated with greater mortality. The relatively long length of stay among patients with COVID-19 is primarily due to prolonged respiratory failure, placing them at higher risk of VAP.