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Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
Published on: June 30, 2023
A Novel In-hospital Congestion Score to Risk Stratify Patients Admitted for Worsening Heart Failure (from ASCEND-HF)
Rajeev Masson1, Andrew P Ambrosy2,3, Kevin Kheder1
1Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA.
Abstract:
Patients hospitalized for heart failure (HF) remain at high risk for early readmission. A post hoc analysis was performed of the biomarker substudy of the ASCEND-HF trial. An in-hospital congestion score was derived using orthopnea, pedal edema, and NT-proBNP levels. Its added prognostic value beyond traditional risk factors was assessed by determining the net reclassification index (NRI). Study participants (n = 884) had a median age (years) of 67 (55-77), 68% were male, and the median (25th-75th) ejection fraction (%) was 26 (20-40). After adjustment, increasing congestion score was associated with 30-day all-cause mortality or HF hospitalization (odds ratio = 1.51, 95% confidence interval [CI] 1.28-1.77, p < 0.001) and 180-day all-cause mortality (hazard ratio = 1.48, 95% CI 1.28-1.72, p < 0.001). However, adding the congestion score to the multivariable model did not significantly impact the NRI. A higher in-hospital congestion score portended a poor short-term prognosis but did not significantly reclassify risk.
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