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Published on: June 30, 2023
External validation of the CACE-HF risk score for mortality in patients with heart failure
R Quirós-López1, L Manzano-Espinosa2, A Bilbao3
1Internal Medicine Unit, Costa del Sol Hospital, Marbella, Spain; Health Services Research on Chronic Patients Network (REDISSEC), Spain; RICA Registry, Spain.
Insights
The CACE-HF risk score accurately predicts 1-year mortality in heart failure patients, showing excellent calibration in external validation. This tool aids clinical decision-making for heart failure management.
Area of Science:
- Cardiology
- Clinical Epidemiology
- Health Outcomes Research
Background:
- Heart failure (HF) poses a significant mortality risk.
- Accurate prediction of mortality is crucial for effective HF management.
- The CACE-HF clinical prediction rule was developed to estimate 1-year mortality in HF patients.
Purpose of the Study:
- To externally validate the CACE-HF clinical prediction rule.
- To assess the performance of the CACE-HF score in a new patient cohort.
Main Methods:
- External validation of the CACE-HF risk score using the RICA heart failure registry.
- Comparison of derivation and validation cohorts' characteristics.
- Evaluation of discrimination using the area under the ROC curve (AUC).
- Assessment of calibration using calibration-in-the-large (a), calibration slope (b), and the Hosmer-Lemeshow test.
Main Results:
- The validation cohort included 3337 patients.
- 1-year mortality was 22.98% in the validation cohort, similar to the derivation cohort.
- Discrimination was slightly lower in the validation cohort (AUC = 0.67) compared to the derivation cohort.
- Calibration was excellent, with minimal difference between predicted and observed mortality.
Conclusions:
- The CACE-HF risk score demonstrates excellent calibration in an external validation cohort.
- While discrimination was slightly reduced, the tool remains valuable for clinical decision-making in heart failure management.
- External validation supports the utility of the CACE-HF score in diverse heart failure populations.
Aims:
To validate externally the CACE-HF clinical prediction rule, which predicts 1-year mortality in patients with heart failure (HF).
Methods:
We performed an external validation of the CACE-HF risk score in patients included in the RICA heart failure registry who had completed 1 year of follow-up, comparing the characteristics of the derivation and validation cohorts. The performance of the risk score was evaluated in terms of calibration, using calibration-in-the-large (a), calibration slope (b), and the Hosmer-Lemeshow test, and in terms of discrimination, using the area under the ROC curve.
Results:
In total, 3337 patients were included in the validation cohort. There were no significant differences between the derivation and validation cohorts in 1-year mortality (24.63% vs. 22.98%) or in the risk score and risk classes. The discrimination capacity in the validation cohort was slightly lower, 0.67 (95% CI: 0.65, 0.69), compared to that of the derivation cohort. Calibration results were a -0.05 (95% CI: -0.14, 0.03), indicating that the average predictions did not differ from the average outcome frequency, and b = 0.75 (95% CI: 0.64, 0.86), indicating a modest inconsistency in predictor effects. Observed mortality versus predicted mortality according to the deciles and risk classes were very similar in both cases, indicating good calibration.
Conclusions:
The results of the external validation of the CACE-HF risk score show that although the capacity for discrimination was slightly lower than in the derivation cohort, the calibration was excellent. This tool, therefore, can assist in decision-making in the management of these patients.
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