Why the study?
Existing risk prediction models for AHF vary in clinical usability and reported performance across validation cohorts, creating uncertainty and difficulty for clinicians in model selection.
What is the predictive performance, applicability, and clinical impact of extant multivariable prognostic models for mortality and readmission in patients with acute heart failure?
Population
Patients with acute heart failure across studies from four databases
Comparison
Models with clinical utility vs those without
Design
Systematic review, critical appraisal, and meta-analysis protocol
Key result
This protocol outlines a planned systematic review and meta-analysis to evaluate the performance, applicability, and clinical impact of risk prediction models for acute heart failure.
Authors
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Planned meta-analysis of acute HF risk models will guide selection for mortality/readmission prediction; leaves open optimal tools and clinical adoption pending synthesis.
Systematic Review
What is the predictive performance, applicability, and clinical impact of extant multivariable prognostic models for mortality and readmission in patients with acute heart failure?
This protocol outlines a systematic review and meta-analysis to evaluate the performance and clinical utility of risk prediction models for mortality and readmission in acute heart failure.
Zhang et al. (2023) conducted a systematic review in Acute heart failure. Risk prediction models was evaluated on Mortality and/or readmission. This protocol outlines a planned systematic review and meta-analysis to evaluate the performance, applicability, and clinical impact of risk prediction models for acute heart failure.
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