Literature DB >> 25060638

Preadmission quality of life can predict mortality in intensive care unit--a prospective cohort study.

Ramin I Bukan1, Ann M Møller2, Mattias A S Henning3, Katrine B Mortensen4, Tobias W Klausen5, Tina Waldau6.   

Abstract

PURPOSE: We sought to investigate whether preadmission quality of life could act as a predictor of mortality among patients admitted to the intensive care unit (ICU).
MATERIALS AND METHODS: This is a prospective observational study of all patients above the age of 18 years admitted to the ICU with a length of stay longer than 24 hours. Short form 36 (SF-36) and Acute Physiology and Chronic Health Evaluation II (APACHE II) were used. Mortality was assessed during ICU admission, 30, and 90 days hereafter.
RESULTS: We included 318 patients. No patients were lost to follow-up. Using the physical component summary of short form 12 (SF-12) as a predictor of ICU mortality, the area under the curve (0.70; confidence interval, 0.62-0.77) was comparable with that of APACHE II (0.74; confidence interval, 0.67-0.82). The difference between SF-12 and SF-36 was nonsignificant.
CONCLUSIONS: Preadmission quality of life, assessed by SF-36 and SF-12, is as good at predicting ICU, 30-, and 90-day mortality as APACHE II in patients admitted to the ICU for longer than 24 hours. This indicates that estimated preadmission quality of life, potentially available in the pre-ICU setting, could aid decision making regarding ICU admission and deserves more attention by those caring for critically ill patients.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health surveys; Intensive care units; Mortality; Quality of life

Mesh:

Year:  2014        PMID: 25060638     DOI: 10.1016/j.jcrc.2014.06.009

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  5 in total

1.  Quality of life predictors in chronic stable post-stroke patients and prognostic value of SF-36 score as a mortality surrogate.

Authors:  Lenka Kielbergerová; Otto Mayer; Jiří Vaněk; Jan Bruthans; Peter Wohlfahrt; Renata Cífková
Journal:  Transl Stroke Res       Date:  2015-08-15       Impact factor: 6.829

2.  Neighborhood Socioeconomic Status and Trajectories of Physical Health-Related Quality of Life Among Stroke Survivors.

Authors:  Erica Twardzik; Philippa Clarke; Michael R Elliott; William E Haley; Suzanne Judd; Natalie Colabianchi
Journal:  Stroke       Date:  2019-09-17       Impact factor: 7.914

Review 3.  State of the Art of Machine Learning-Enabled Clinical Decision Support in Intensive Care Units: Literature Review.

Authors:  Na Hong; Chun Liu; Jianwei Gao; Lin Han; Fengxiang Chang; Mengchun Gong; Longxiang Su
Journal:  JMIR Med Inform       Date:  2022-03-03

4.  Worse pre-admission quality of life is a strong predictor of mortality in critically ill patients.

Authors:  Ezgi Özyılmaz; Özlem Özkan Kuşçu; Emre Karakoç; Aslı Boz; Gülşah Orhan Tıraşçı; Rengin Güzel; Gülşah Seydaoğlu
Journal:  Turk J Phys Med Rehabil       Date:  2022-03-01

5.  Physical, Mental, and Cognitive Health Status of ICU Survivors Before ICU Admission: A Cohort Study.

Authors:  Wytske W Geense; Mark van den Boogaard; Marco A A Peters; Koen S Simons; Esther Ewalds; Hester Vermeulen; Johannes G van der Hoeven; Marieke Zegers
Journal:  Crit Care Med       Date:  2020-09       Impact factor: 9.296

  5 in total

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