Key result
The Elixhauser comorbidity measure provided better prediction of in-hospital mortality after major orthopaedic surgery (AUC 0.86) compared with the Charlson model (AUC 0.83).
Why the study?
Does the Elixhauser comorbidity measure improve prediction of in-hospital mortality in patients undergoing orthopaedic surgery compared to the Charlson index?
Population
14,007,813 patients undergoing orthopaedic surgery identified in the National Hospital Discharge Survey…
Comparison
Elixhauser comorbidity measure for risk adjustment vs Charlson comorbidity measure for risk adjustment…
Design
Cohort
Follow-up
in-hospital
Authors
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Supports preferring Elixhauser for risk adjustment in orthopaedic claims analyses; leaves open need for prospective validation before routine adoption.
Cohort (n=14,007,813)
Yes
Does the Elixhauser comorbidity measure improve prediction of in-hospital mortality in patients undergoing orthopaedic surgery compared to the Charlson index?
Effect estimate: AUC 0.86 (95% CI 0.86-0.86)
Absolute Event Rate: 0.86% vs 0.83%
The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient mortality after major orthopaedic surgery, suggesting it should be preferred for risk adjustment in claims-based studies.
Menendez et al. (2014) conducted a cohort in Orthopaedic surgery (primary TKA, primary THA, spinal fusion, hip fracture) (n=14,007,813). Elixhauser comorbidity measure vs. Charlson comorbidity measure was evaluated on Prediction of in-hospital mortality (AUC) (AUC 0.86, 95% CI 0.86-0.86). The Elixhauser comorbidity measure provided better prediction of in-hospital mortality after major orthopaedic surgery (AUC 0.86) compared with the Charlson model (AUC 0.83).
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