Validation of Seattle Heart Failure Model for mortality risk prediction in patients treated with cardiac...

Area of Science:

• Cardiology
• Heart Failure Management
• Medical Device Technology

Background:

• The Seattle Heart Failure Model (SHFM) is used for survival prediction in heart failure patients.
• Its accuracy in patients receiving cardiac resynchronization therapy (CRT) is not well-established.
• Evaluating SHFM performance in the CRT population is crucial for refining treatment strategies.

Purpose of the Study:

• To evaluate the predictive performance of the Seattle Heart Failure Model (SHFM) in patients undergoing cardiac resynchronization therapy (CRT).
• To assess the model's ability to discriminate between different risk groups within the CRT population.
• To identify factors influencing survival in CRT patients based on SHFM risk stratification.

Main Methods:

• Retrospective analysis of data from 1139 consecutive CRT patients across five centers.
• Kaplan-Meier survival analysis stratified by SHFM score tertiles.
• Assessment of model discrimination using the c-statistic and Area Under the Receiver Operating Characteristic Curve (AUC-ROC).

Main Results:

• The SHFM demonstrated modest predictive performance, with an overall c-statistic of 0.64.
• Observed survival was generally higher than SHFM-predicted survival, indicating a tendency to overestimate survival.
• The high-risk tertile (T1) patients were globally more compromised, with independent predictors of death including male gender, ischemic heart failure etiology, lower body weight, and CRT pacemaker use.

Conclusions:

• The SHFM's performance in CRT patients is modest, suggesting potential overestimation of survival.
• The model successfully identified a high-risk subgroup requiring more intensive management.
• A comprehensive approach, including nutritional, metabolic, immunological aspects, and defibrillator backup, is recommended for high-risk CRT patients.