| Literature DB >> 35050384 |
Matthias Peter Hilty1, Stefanie Keiser2, Pedro D Wendel Garcia2, André Moser3, Reto A Schuepbach2.
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Year: 2022 PMID: 35050384 PMCID: PMC8771617 DOI: 10.1007/s00134-021-06610-z
Source DB: PubMed Journal: Intensive Care Med ISSN: 0342-4642 Impact factor: 17.440
Fig. 1Effect of vaccination status on the patient characteristics and initial treatment at ICU admission (A), and on the outcome of critically ill COVID-19 patients (B), showing for vaccinated patients admitted to the ICU, less severe lung and systemic organ failure, need for mechanical ventilation and shorter ICU length of stay, yet still similar ICU mortality despite older age and elevated risk profile. The age distribution of patients admitted to the ICU shows a marked right-shift, with only 12% of the vaccinated critically ill patients below the age of 60 years (C). Blue dots and lines represent the estimate and 95% CI of mixed model analysis with vaccination status entered as fixed effect and treatment center as random effect, whereas red dots and lines represent the estimate and 95% CI of adjusted mixed model analysis with age, sex and presence of immunosuppression-related disease as pre-existing condition as additional fixed effects. All included patients are represented in panel (A, n = 964), whereas panel (B) encompasses patients discharged from the ICU by September 30th, 2021 for the crude analysis graph (n = 915), and ICU survivors for the adjusted analysis graph (n = 710). ICU mortality estimates were modeled using a Cox proportional hazards model, with an underlying time scale of ICU admission until date of death or date of discharge which was defined as censoring event, with ICU mortality entered as event and ICU survival entered as censored event. Estimates are given as the mean difference (CI) for continuous variables, RR (CI) for counts, OR (CI) for binary categorical variables, and HR (CI) for survival analysis, the secondary scale applies to the reporting of RR, OR and HR as denoted (*). The vertical grey line represents the line of no effect. Estimates to the right of the grey line are associated with the vaccination, and to the left, with the lack of vaccination scilicet inversely with the vaccination. Complete results for crude and adjusted analyses in the overall and subpopulations are listed in Supplementary Table S1 and Supplementary Table S2. RR, rate ratio; OR, odds ratio; HR, hazard ratio; CI, 95% confidence interval