Journal of critical care
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Journal of critical care · Dec 2020
Review Meta AnalysisWhat factors predict length of stay in the intensive care unit? Systematic review and meta-analysis.
Studies have shown that a small percentage of ICU patients have prolonged length of stay (LoS) and account for a large proportion of resource use. Therefore, the identification of prolonged stay patients can improve unit efficiency. In this study, we performed a systematic review and meta-analysis to understand the risk factors of ICU LoS. ⋯ This work suggested a list of risk factors that should be considered in prediction models for ICU LoS, as follows: severity scores, mechanical ventilation, hypomagnesemia, delirium, malnutrition, infection, trauma, red blood cells, and PaO2:FiO2. Our findings can be used by prediction models to improve their predictive capacity of prolonged stay patients, assisting in resource allocation, quality improvement actions, and benchmarking analysis.
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Journal of critical care · Dec 2020
Meta AnalysisA meta-analysis of clinical predictors for renal recovery and overall mortality in acute kidney injury requiring continuous renal replacement therapy.
To determine clinical predictors for continuous renal replacement therapy (CRRT) discontinuation in patients with acute kidney injury (AKI). ⋯ Urine output at CRRT discontinuation, lower initial SOFA score, and lower serum creatinine levels at CRRT initiation were associated with higher likelihood of renal recovery. Increasing age and the presence of sepsis were associated with increased overall mortality from AKI on CRRT. However, there were limited data on co-morbidities which might preclude their inclusion in our analysis.