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Predictive Ability of Comorbidity Indices for Surgical Morbidity and Mortality: a Systematic Review and Meta-analysis
Noah A Clements1, Jeremy T Gaskins1, Robert C G Martin2
1The Hiram C. Polk, Jr., MD Department of Surgery, Division of Surgical Oncology, University of Louisville School of Medicine, 315 E. Broadway, Louisville, KY, 40292, USA.
Insights
The 5-item Modified Frailty Index (mFI-5) better predicts surgical outcomes like mortality and complications than the Charlson Comorbidity Index (CCI). Frailty measures enhance risk stratification for surgical patients.
Area of Science:
- Surgical outcomes research
- Medical informatics
- Geriatric medicine
Background:
- The Charlson Comorbidity Index (CCI) has been a standard for risk stratification since 1987.
- Numerous contemporary comorbidity indices have been developed.
- Comparing the predictive utility of these indices for surgical outcomes is crucial.
Conclusions:
- The mFI-5 demonstrates superior performance over the CCI in predicting short-term mortality and severe surgical complications.
- Risk stratification tools incorporating frailty measures appear more predictive of surgical outcomes than traditional indices.
- Frailty assessment is vital for accurate surgical risk prediction.
Background:
Several contemporary risk stratification tools are now being used since the development of the Charlson Comorbidity Index (CCI) in 1987. The purpose of this systematic review and meta-analysis was to compare the utility of commonly used co-morbidity indices in predicting surgical outcomes.
Methods:
A comprehensive review was performed to identify studies reporting an association between a pre-operative co-morbidity measurement and an outcome (30-day/in-hospital morbidity/mortality, 90-day morbidity/mortality, and severe complications). Meta-analysis was performed on the pooled data.
Results:
A total of 111 included studies were included with a total cohort size 25,011,834 patients. The studies reporting the 5-item Modified Frailty Index (mFI-5) demonstrated a statistical association with an increase in the odds of in-hospital/30-day mortality (OR:1.97,95%CI: 1.55-2.49, p < 0.01). The pooled CCI results demonstrated an increase in the odds for in-hospital/30-day mortality (OR:1.44,95%CI: 1.27-1.64, p < 0.01). Pooled results for co-morbidity indices utilizing a scale-based continuous predictor were significantly associated with an increase in the odds of in-hospital/30-day morbidity (OR:1.32, 95% CI: 1.20-1.46, p < 0.01). On pooled analysis, the categorical results showed a higher odd for in-hospital/30-day morbidity (OR:1.74,95% CI: 1.50-2.02, p < 0.01). The mFI-5 was significantly associated with severe complications (Clavien-Dindo ≥ III) (OR:3.31,95% CI:1.13-9.67, p < 0.04). Pooled results for CCI showed a positive trend toward severe complications but were not significant.
Conclusion:
The contemporary frailty-based index, mFI-5, outperformed the CCI in predicting short-term mortality and severe complications post-surgically. Risk stratification instruments that include a measure of frailty may be more predictive of surgical outcomes compared to traditional indices like the CCI.
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