Ward mortality after ICU discharge: a multicenter validation of the Sabadell score
Background Tools for predicting post-ICU patients’ outcomes are scarce. A single-center study showed that the Sabadell score classified patients into four groups with clear-cut differences in ward mortality. Objective and design To validate the Sabadell score using a prospective multicenter approach...
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Veröffentlicht in: | Intensive care medicine 2010-07, Vol.36 (7), p.1196-1201 |
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Zusammenfassung: | Background
Tools for predicting post-ICU patients’ outcomes are scarce. A single-center study showed that the Sabadell score classified patients into four groups with clear-cut differences in ward mortality.
Objective and design
To validate the Sabadell score using a prospective multicenter approach.
Setting
Thirty-one ICUs in Spain.
Patients and methods
All patients admitted in the 3-month study period. We recorded variables at ICU admission (age, sex, severity of illness, and do-not-resuscitate orders), during the ICU stay (ICU-specific treatments, ICU-acquired infection, and acute renal failure), and at ICU discharge (Sabadell score). Statistical analyses included one-way ANOVA and multiple regression analysis with ward mortality as the dependent variable.
Results
We admitted 4,132 patients (mean age 61.5 ± 16.7 years) with mean predicted mortality of 23.8 ± 22.7%; 545 patients (13%) died in the ICU and 3,587 (87%) were discharged to the ward. Overall ward mortality was 6.7%; ward mortality was 1.5% (36/2,422) in patients with score 0 (good prognosis), 9% (64/725) in patients with score 1 (long-term poor prognosis), 23% (79/341) in patients with score 2 (short-term poor prognosis), and 64% (63/99) in patients with score 3 (expected hospital death). Variables associated with ward mortality in the multivariate analysis were predicted risk of death (OR 1.016), ICU readmission (OR 5.9), Sabadell score 1 (OR 4.7), Sabadell score 2 (OR 15.7), and Sabadell score 3 (OR 107.2).
Conclusion
We confirm the ability of the Sabadell score at ICU discharge to define four groups of patients with very different likelihoods of hospital survival. |
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ISSN: | 0342-4642 1432-1238 |
DOI: | 10.1007/s00134-010-1825-5 |