PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 24, 2015Journal of Trauma and Acute Care Surgery105 citations

Using the age-adjusted Charlson comorbidity index to predict outcomes in emergency general surgery

View Full Paper
ESEtienne St‐LouisSISameena IqbalLFLiane S. Feldman

Key Result

The Charlson age-comorbidity index was significantly associated with an increased risk of 30-day mortality in emergency general surgery patients (adjusted OR 1.39; 95% CI 1.11-1.73; p=0.0034).

Study Design

Type

Observational (n=257)

Multicenter

No

Structured PICO

Does the Charlson age-comorbidity index (CACI) predict 30-day mortality and ICU admission in patients undergoing emergency general surgery?

P
Population
257 patients who underwent emergency general surgery at a large Canadian teaching hospital, evaluated for 30-day mortality and ICU admission.
E
Exposure
Charlson age-comorbidity index (CACI) score assessment
O
Outcome
30-day mortality and intensive care unit (ICU) admissionhard clinical

The Charlson age-comorbidity index is a highly accurate tool for predicting 30-day mortality in patients undergoing emergency general surgery.

Main Result

Odds Ratio: 1.39 (95% CI 1.11–1.73)

p-value: p=0.0034

Abstract

BACKGROUND: We evaluated the role of the Charlson age-comorbidity index (CACI), a weighted comorbidity index that reflects cumulative increased likelihood of 1-year mortality, in predicting perioperative outcomes in an emergency general surgery population at a large Canadian teaching hospital. METHODS: A retrospective chart review of emergency general surgery admissions in 2010 was conducted. Patients who had surgery were identified. Mode of surgery and CACI were recorded, as well as measures of outcome, including 30-day mortality and intensive care unit (ICU) admission. A multivariate stepwise logistic regression model was created to assess the effect of age-adjusted Charlson comorbidity index on postoperative outcomes while controlling for the effect of possible confounders. The prediction ability of CACI for mortality was assessed using receiver operating characteristic analyses considering the area under the curve and its 95% confidence intervals (CIs). RESULTS: Of the 529 admissions to general surgery from the emergency department, 257 patients underwent a surgical intervention. The CACI scores ranged from 0 to 16. We described a total of 11 deaths (4.3%) and 30 ICU admissions (11.7%). CACI was associated with an increased risk of 30-day mortality (adjusted odds ratio,1.39; 95% CI, 1.11-1.73; p = 0.0034). Receiver operating characteristic analysis was consistent with high accuracy of CACI for mortality prediction alone, resulting in area under the curve or c statistic of 0.90 (95% CI, 0.84-0.95). CACI was similar in predicting mortality to a multivariate model. CACI was also found to be associated with ICU admission (adjusted odds ratio, 1.17; 95% CI, 1.01-1.37; p < 0.0382). CACI is not as good a predictor for ICU admission when compared with the multivariate model. CONCLUSION: We have shown that the CACI is a valid tool for 30-day mortality prediction in the context of emergency general surgery. LEVEL OF EVIDENCE: Prognostic study, level III.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

St‐Louis et al. (2015) conducted an observational in Emergency general surgery (n=257). Charlson age-comorbidity index (CACI) was evaluated on 30-day mortality (OR 1.39, 95% CI 1.11-1.73, p=0.0034). The Charlson age-comorbidity index was significantly associated with an increased risk of 30-day mortality in emergency general surgery patients (adjusted OR 1.39; 95% CI 1.11-1.73; p=0.0034).

synapsesocial.com/papers/6a2194d4582b7ad9ebabd4d5https://doi.org/10.1097/ta.0000000000000457
Ask AI
Helpful
Bookmark
Share
View Full Paper