Literature DB >> 23208032

Treatment-limiting decisions, comorbidities, and mortality in the emergency departments: a cross-sectional elderly population-based study.

L de Decker1, O Beauchet, A Gouraud-Tanguy, G Berrut, C Annweiler, P Le Conte.   

Abstract

BACKGROUND: Older adults experience a higher risk of death in the emergency departments (EDs), in part, as a result of their comorbidities. A treatment-limiting decision is often reported for older adults who die in the EDs. The Charlson Comorbidity Index (CCI) is a validated method for the scoring of comorbidities. Whether an association between the CCI and treatment-limiting decisions exists remains unknown.
OBJECTIVE: To determine whether the CCI was associated with the treatment-limiting decisions made for older patients who die in the EDs.
METHODS: A total of 2,095 patients ≥65 years old who died in the EDs in France and Belgium were prospectively included between 2004 and 2005. The recorded data included: 1) the CCI score; 2) patient age; 3) gender; 4) living in senior housing facilities; 5) hospitalizations occurring in the previous year; 6) presence of functional limitations (according to the Knaus classification); 7) chronic diseases; and 8) presence of organ failure(s). A treatment-limiting decision was defined as a predetermined choice not to implement therapies that would otherwise be required to sustain life.
RESULTS: A treatment-limiting decision was identified in 993 (47%) patients. Fully-adjusted logistic regression model showed that a CCI ≥ 5 (OR=25.56 with P=0.037), age ≥85years (OR=20.33 with P<0.001), living in an institution (OR=0.15 with P=0.017), hematologic (OR=6.92 with P=0.020) and respiratory disease (OR=0.17 with P=0.046), and neurologic causes (OR=0.20 with P=0.010) of organ failure were significantly associated with treatment-limiting decisions.
CONCLUSION: An elevated CCI score (≥5) was associated with a treatment-limiting decision in elderly patients evaluated in the EDs. Further research is needed to corroborate this finding.

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Year:  2012        PMID: 23208032     DOI: 10.1007/s12603-012-0414-4

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


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