Predicting ICU readmission among surgical ICU patients: Development and validation of a clinical nomogram

Surgery
Luke A MartinBenjamin S Brooke

Abstract

Unplanned intensive care unit readmission within 72 hours is an established metric of hospital care quality. However, it is unclear what factors commonly increase the risk of intensive care unit readmission in surgical patients. The objective of this study was to evaluate predictors of readmission among a diverse sample of surgical patients and develop an accurate and clinically applicable nomogram for prospective risk prediction. We retrospectively evaluated patient demographic characteristics, comorbidities, and physiologic variables collected within 48 hours before discharge from a surgical intensive care unit at an academic center between April 2010 and July 2015. Multivariable regression models were used to assess the association between risk factors and unplanned readmission back to the intensive care unit within 72 hours. Model selection was performed using lasso methods and validated using an independent data set by receiver operating characteristic area under the curve analysis. The derived nomogram was then prospectively assessed between June and August 2017 to evaluate the correlation between perceived and calculated risk for intensive care unit readmission. Among 3,109 patients admitted to the intensive care unit by...Continue Reading

Citations

Aug 26, 2020·Journal of Intensive Care Medicine·Maximilian HammerMatthias Eikermann
Dec 22, 2021·The Journal of Trauma and Acute Care Surgery·Zongyang MouTodd W Costantini

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