30-day mortality in patients after hip fracture surgery: A comparison of the Charlson Comorbidity Index score and ASA score used in two prediction models

Objective: To compare the Charlson Comorbidity Index (CCI) and American Society of Anesthesiologists (ASA) Physical Status Classification used in two prediction models for 30-day mortality after hip fracture surgery. Study Design and Setting: Data from 3651 patients (mean age: 83 years) from a Norwegian University Hospital were retrospectively obtained and randomly divided into two cohorts: a model cohort ( n = 1825) to develop two prediction models with CCI and ASA as the main predictors, and a validation cohort ( n = 1826) to assess the predictive ability of both models. A receiver operating characteristic (ROC) curve determined the best model to predict mortality. Results: Area under the ROC curve at 30 days was 0.726 ( p = 0.988) for both the CCI- and ASA-model. The chosen cut-off-points on the ROC curve for CCI- and ASA-model corresponded to similar model sensitivities of 0.657 and specificities of 0.680 and 0.679, respectively. Hence, each model predicts correctly 66% ( n = 96) of the mortalities and 68% ( n = 1132 and n = 1131) of the survivals. 23% ( n = 33) of the mortalities were predicted by neither model. Conclusion: The CCI- and ASA-model had equal predictive ability of 30-day mortality after hip fracture. Considering the effort involved in calculating Charlson Comorbidity Index score, the ASA score may be the preferred tool to predict the 30-day mortality after hip fracture. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )