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Azoulay, E; Metnitz, B; Sprung, CL; Timsit, JF; Lemaire, F; Bauer, P; Schlemmer, B; Moreno, R; Metnitz, P; SAPS 3 investigators.
End-of-life practices in 282 intensive care units: data from the SAPS 3 database.
Intensive Care Med. 2009; 35(4):623-630 Doi: 10.1007/s00134-008-1310-6
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Metnitz Philipp

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To report incidence and characteristics of decisions to forgo life-sustaining therapies (DFLSTs) in the 282 ICUs who contributed to the SAPS3 database. We reviewed data on DFLSTs in 14,488 patients. Independent predictors of DFLSTs have been identified by stepwise logistic regression. DFLSTs occurred in 1,239 (8.6%) patients [677 (54.6%) withholding and 562 (45.4%) withdrawal decisions]. Hospital mortality was 21% (3,050/14,488); 36.2% (1,105) deaths occurred after DFLSTs. Across the participating ICUs, hospital mortality in patients with DFLSTs ranged from 80.3 to 95.4% and time from admission to decisions ranged from 2 to 4 days. Independent predictors of decisions to forgo LSTs included 13 variables associated with increased incidence of DFLSTs and 7 variables associated with decrease incidence of DFLST. Among hospital and ICU-related variables, a higher number of nurses per bed was associated with increased incidence of DFLST, while availability of an emergency department in the same hospital, presence of a full time ICU-specialist and doctors presence during nights and week-ends were associated with a decreased incidence of DFLST. This large study identifies structural variables that are associated with substantial variations in the incidence and the characteristics of decisions to forgo life-sustaining therapies.
Find related publications in this database (using NLM MeSH Indexing)
Cohort Studies -
Data Collection - standards
Databases, Factual -
Decision Making, Organizational -
Decision Making, Organizational -
Hospital Mortality - trends
Humans -
Intensive Care Units - organization & administration
International Cooperation -
International Cooperation -
Practice Patterns, Physicians' - organization & administration
Prospective Studies -
Software Design -
Surveys and Questionnaires -
Terminal Care - organization & administration
Withholding Treatment - statistics & numerical data

Find related publications in this database (Keywords)
Intensive care
Treatment withholding
Treatment withdrawal
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