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Introductıon <p>Heart failure with mid-range ejection fraction (HFmrEF) represents a distinct clinical entity with unique prognostic challenges, lacking widely adopted risk scoring tools for predicting mortality and rehospitalization. This study investigates the utility of Rajan’s heart failure (R-HF) risk score as a simple and effective stratification tool in this patient population.</p> Materıal and methods <p>In this retrospective cohort study, 175 HFmrEF patients were stratified by R-HF risk score into four groups: high risk, moderate risk, low risk, and minimal risk. The Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score was calculated for comparison. Receiver operating characteristic (ROC) curve and logistic regression analyses assessed the scores’ predictive performance for a composite endpoint of HF-related rehospitalization and all-cause mortality.</p> Results <p>The R-HF risk score showed an area under the ROC curve (AUC) of 0.822, suggesting strong predictive accuracy (p &lt; 0.001). An optimal cut-off value of 10.30 achieved a sensitivity of 83.1% and a specificity of 75.0% for predicting HF-related rehospitalization and all-cause mortality. In comparison, the MAGGIC score yielded a lower AUC of 0.633 (p = 0.004).</p> Conclusıons <p>The R-HF risk score effectively stratifies HFmrEF patients by risk, outperforming the frequently used MAGGIC score in this study’s context. Its simplicity and prognostic reliability make it a valuable tool for managing HFmrEF patients, particularly in reducing HF-related rehospitalization and all-cause mortality (Table&#xa0;<InternalRef RefID="Tab4">4</InternalRef>, Fig.&#xa0;<InternalRef RefID="Fig1">1</InternalRef>, Rich in J Am Heart Assoc 7:20 e009594, 2018).</p>

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The Prognostic Significance of the Rajan’s Heart Failure Risk Score for Mid-range Ejection Fraction in Patients Hospitalized for Heart Failure

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  • 发表日期：

    2025年3月12日

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摘要

Introductıon

Heart failure with mid-range ejection fraction (HFmrEF) represents a distinct clinical entity with unique prognostic challenges, lacking widely adopted risk scoring tools for predicting mortality and rehospitalization. This study investigates the utility of Rajan’s heart failure (R-HF) risk score as a simple and effective stratification tool in this patient population.

Materıal and methods

In this retrospective cohort study, 175 HFmrEF patients were stratified by R-HF risk score into four groups: high risk, moderate risk, low risk, and minimal risk. The Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score was calculated for comparison. Receiver operating characteristic (ROC) curve and logistic regression analyses assessed the scores’ predictive performance for a composite endpoint of HF-related rehospitalization and all-cause mortality.

Results

The R-HF risk score showed an area under the ROC curve (AUC) of 0.822, suggesting strong predictive accuracy (p < 0.001). An optimal cut-off value of 10.30 achieved a sensitivity of 83.1% and a specificity of 75.0% for predicting HF-related rehospitalization and all-cause mortality. In comparison, the MAGGIC score yielded a lower AUC of 0.633 (p = 0.004).

Conclusıons

The R-HF risk score effectively stratifies HFmrEF patients by risk, outperforming the frequently used MAGGIC score in this study’s context. Its simplicity and prognostic reliability make it a valuable tool for managing HFmrEF patients, particularly in reducing HF-related rehospitalization and all-cause mortality (Table 4, Fig. 1, Rich in J Am Heart Assoc 7:20 e009594, 2018).