A pragmatic nomogram using routinely collected clinical variables to screen prevalent HFpEF: development and temporal validation

This cross-sectional screening prediction nomogram estimates individualized risk of prevalent HFpEF using readily non-imaging variables and may support screening or triage and efficient allocation of echocardiography resources across hospital and community workflows. The tool is intended to prioritize referral for echocardiographic confirmation rather than replace guideline-based diagnosis. Prospective multicenter studies are warranted to evaluate transportability, clinical utility, and implementation impact.

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Publication Details

Journal
BMC Cardiovascular Disorders
Published
2026-02-24
DOI
https://doi.org/10.1186/s12872-026-05619-w
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
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article

A pragmatic nomogram using routinely collected clinical variables to screen prevalent HFpEF: development and temporal validation

Xinxin Mao, Shuqing SHI, Chunmei Chen, Ye Liu et al.
BMC Cardiovascular Disorders
Cardiovascular Function and Risk Factors
article

A pragmatic nomogram using routinely collected clinical variables to screen prevalent HFpEF: development and temporal validation

Xinxin Mao, Shuqing SHI, Chunmei Chen, Ye Liu, Pengfei Liu, Qingqiao Song, Bingxuan Zhang
article en

Abstract

This cross-sectional screening prediction nomogram estimates individualized risk of prevalent HFpEF using readily non-imaging variables and may support screening or triage and efficient allocation of echocardiography resources across hospital and community workflows. The tool is intended to prioritize referral for echocardiographic confirmation rather than replace guideline-based diagnosis. Prospective multicenter studies are warranted to evaluate transportability, clinical utility, and implementation impact.

BMC Cardiovascular Disorders
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Guang’anmen Hospital (CN), Beijing Hospital of Traditional Chinese Medicine (CN)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 48%
Cardiovascular Function and Risk Factors
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