An uncomfortable topic:

The health system factor, in contributing to COVID-19 mortality rate in the first quarter of 2020. However, the positive is also to be seen in this study (Anesi et al., 2021) in the application of a system that enabled rapid…

doi.org/10.7326/M20-53…
..frequent real-time iterative updates in sharing of knowledge btn health carers to recognise ineffective and/or dangerous interventions and where health carers see positive effective measures, in-order to adjust standard operating procedures (SOPs) to improve patient outcomes...
As a result, mortality rate decreased over time despite stable patient characteristics.
Retrospective cohort study in patients admitted to ICU investigating:

1) all-cause 28-day in-hospital mortality rate,

2) all-cause death at any time, receipt of mechanical ventilation (MV), and readmissions, between patients admitted in the first and last 15-day periods,…
….from 1 March to 11 May 2020; with the last day of follow-up 1 July 2020.

The primary outcome:

➡️ all-cause 28-day in-hospital mortality, patients either dying in hospital or surviving to hospital discharge by day 28, or having at least 28 days of in-hospital follow-up.
Secondary outcome:

All-cause death at any time, hospital length of stay, ICU length of stay, mechanical ventilation (MV) duration, recovery from acute renal replacement therapy, and tracheostomy, use of the complete follow-up time in the data set was reported.
Linear and logistic regression analysis investigated:
➡️ was ICU admission date associated with rates of mechanical ventilation (MV) use (unadjusted and adjusted for Pao2–FIo2 ratio) and with patient-level factors.
1470 patients with COVID-19 admitted to the 5 study hospitals from 1 March to 11 May 2020, 480 (32.7%) were admitted to ICU.

•n = 468 (97.5%) met inclusion criteria, with median age of 65 years (interquartile range [IQR], 54 to 74 years),
•male, 57.7%
•black, 52.8%
•high comorbidity burden, 71.8% (with ≥2 points on the Charlson Comorbidity Index).
•319 (68.2%) received mechanical ventilation (MV).
The proportion of patients treated with mechanical ventilation (MV) decreased over time, from 85.7% (95% CI, 77.1% to 94.4%) to 54.2% (CI, 44.2% to 64.1%) between the first and last 15-day periods.
Compared with the first 15-day period, the odds ratio (OR) for receiving MV decreased stepwise across the second (OR, 0.49 [CI, 0.22 to 1.07]; P = 0.074), third (OR, 0.29 [CI, 0.13 to 0.64]; P = 0.002), and fourth (OR, 0.20 [CI, 0.09 to 0.44]; P < 0.001) 15-day periods.
n = 140, patient outcome all-cause 28-day in-hospital mortality rate was:

37.0% among those who received mechanical ventilation (MV),
14.8% among those who did not.
A mechanism for improved mortality over time in the face of unchanging acuity, was better adherence to evidence-based standard-of-care therapies for critical illness—such as averting intubation.

Rates of mechanical ventilation (MV) use decreased over time.
Decreasing intubation, using non-invasive oxygenation improved patient outcome.

Mortality decreased over time, from 43.5% (95% CI, 31.3% to 53.8%) to 19.2% (CI, 11.6% to 26.7%) between the first and last 15-day periods, patient acuity and other factors did not change.

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More from @I_mitochondria

31 Jan
The world’s most powerful tools against respiratory infections is good health, individual health and population health. Both metabolic and mental.

dx.doi.org/10.1136/openhr…

#hyperinsulinaemia
#covid
#vitD
#metabolichealth
#immunity openheart.bmj.com/content/7/2/e0…
“heightened fears that the coronavirus is quickly finding ways to elude the world’s most powerful tools (vaccines) to contain it.”

latimes.com/science/story/…
What we have heard loudest from Government, mainstream media and med/scientists with vested interests, is we must: “socially distance, lockdown to slow/lower spread rate, protect the health care systems, wait for vaccines before life has any hope of returning back to normal”.
Read 22 tweets
29 Jan
Retrospective analysis:
COVID-19 patients,
n = 91 (aged 74 +/- 13),
2 or more co-morbidities = 54.9%

Given/or not, 400,000 IU vitD
Outcome: transfer to ICU and/or death

The greater the comorbidity burden, the greater effect high-dose vitD treatment mdpi.com/2072-6643/13/1…
39.6% were treated with vitamin D, based on physician decision.

Results showed significant predictive power of four variables, to response to high-dose vitD:

<50 nmol/L, 25(OH)D
current cigarette smoking
elevated D-dimer
presence of comorbid diseases
Potential predictive criterion for administrastion of high dose vitamin D (AUC = 0.77, 95% CI: 0.67–0.87, p < 0.0001).

Logistic regression analyses: effectiveness of vitD reliant on comorbidity burden, crude (p = 0.033), propensity score-adjusted analyses (p = 0.039)
Read 4 tweets
24 Jan
Viruses always evolve to be more contagious if they can, while at the same time they evolve to being less virulent/pathogenic, especially respiratory viruses.
In their evolution, each virus strives to grab “market share” for its progeny. The best way to achieve this is to get host cells in the human body to generate as many copies of itself as possible, while at the same time not make that person so ill that they meet fewer people,
because if a sick person were too ill, then not be out and about, and end up not interacting with other people as much, the virus risks killing its host or itself becoming “killed” by its host (the human) before enabling its decendants the chance to relocate into another host....
Read 18 tweets

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