학술논문
The Clinical Frailty Scale for mortality prediction of old acutely admitted intensive care patients: a meta-analysis of individual patient-level data
Document Type
article
Author
Raphael Romano Bruno; Bernhard Wernly; Sean M. Bagshaw; Mark van den Boogaard; Jai N. Darvall; Lina De Geer; Pablo Ruiz de Gopegui Miguelena; Daren K. Heyland; David Hewitt; Aluko A. Hope; Emilie Langlais; Pascale Le Maguet; Carmel L. Montgomery; Dimitrios Papageorgiou; Philippe Seguin; Wytske W. Geense; J. Alberto Silva-Obregón; Georg Wolff; Amin Polzin; Lisa Dannenberg; Malte Kelm; Hans Flaatten; Michael Beil; Marcus Franz; Sigal Sviri; Susannah Leaver; Bertrand Guidet; Ariane Boumendil; Christian Jung
Source
Annals of Intensive Care, Vol 13, Iss 1, Pp 1-13 (2023)
Subject
Language
English
ISSN
2110-5820
Abstract
Abstract Background This large-scale analysis pools individual data about the Clinical Frailty Scale (CFS) to predict outcome in the intensive care unit (ICU). Methods A systematic search identified all clinical trials that used the CFS in the ICU (PubMed searched until 24th June 2020). All patients who were electively admitted were excluded. The primary outcome was ICU mortality. Regression models were estimated on the complete data set, and for missing data, multiple imputations were utilised. Cox models were adjusted for age, sex, and illness acuity score (SOFA, SAPS II or APACHE II). Results 12 studies from 30 countries with anonymised individualised patient data were included (n = 23,989 patients). In the univariate analysis for all patients, being frail (CFS ≥ 5) was associated with an increased risk of ICU mortality, but not after adjustment. In older patients (≥ 65 years) there was an independent association with ICU mortality both in the complete case analysis (HR 1.34 (95% CI 1.25–1.44), p