Journal of critical care
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Journal of critical care · Apr 2024
Multicenter StudyDevelopment and validation of a machine learning model to predict the use of renal replacement therapy in 14,374 patients with COVID-19.
To develop a model to predict the use of renal replacement therapy (RRT) in COVID-19 patients. ⋯ An early ML model using easily available clinical and laboratory data accurately predicted the use of RRT in critically ill patients with COVID-19. Our study demonstrates that using ML techniques is feasible to provide early prediction of use of RRT in COVID-19 patients.
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Journal of critical care · Apr 2024
Effects of education, income and employment on ICU and post-ICU survival - A nationwide Swedish cohort study of individual-level data with 1-year follow up.
The aim of this study was to examine relationships between education, income, and employment (socioeconomic status, SES) and intensive care unit (ICU) survival and survival 1 year after discharge from ICU (Post-ICU survival). ⋯ Significant relationships between low SES in the critically ill and increased risk of death indicate that it is important to identify and support patients with low SES to improve survival after intensive care. Studies of survival after critical illness need to account for participants SES.
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Journal of critical care · Apr 2024
Brain magnetic resonance imaging findings six months after critical COVID-19: A prospective cohort study.
COVID-19 patients suffered from neurological symptoms in the acute phase. Whether this led to long-term consequences was unknown. We studied long-term brain MRI findings in ICU-treated COVID-19 patients and compared them with findings in groups with less severe acute disease. ⋯ Age and supplementary oxygen days were independently associated with CMBs; COVID-19 status showed no association. Accumulation of risk factors in the ICU group may explain the higher prevalence of CMBs.
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Journal of critical care · Apr 2024
Serial electrical impedance tomography course in different treatment groups; The MaastrICCht cohort.
To describe the effect of dexamethasone and tocilizumab on regional lung mechanics over admission in all mechanically ventilated COVID-19 patients. ⋯ Optimal and clinically applied PEEP were lower in the dexamethasone and dexamethasone + tocilizumab groups. The results suggest that the potential beneficial effects of these therapies do not affect lung mechanics favorably. However, this study cannot fully rule out any beneficial effect of anti-inflammatory treatment on pulmonary function due to its observational nature.