Evidence map›Paper›PMID 41113023›Full record

ArticleAmerican journal of translational research2025

Left atrial stiffness index predicts atrial fibrillation risk in heart failure with preserved ejection fraction: a nomogram model.

Yu Zhang, Jing Qin, Xiaoli Chen

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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yu ZhangDepartment of Cardiac Ultrasound, Affiliated Hospital of Nantong University Nantong 226001, Jiangsu, China.
Jing QinDepartment of Cardiac Ultrasound, Affiliated Hospital of Nantong University Nantong 226001, Jiangsu, China.
Xiaoli ChenDepartment of Cardiology, The Second Affiliated Hospital of Nantong University Nantong 226000, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDevelop a LASI-based nomogram for predicting atrial fibrillation (AF) risk in heart failure with preserved ejection fraction (HFpEF).

methodsThis retrospective study analyzed 275 HFpEF patients (160 AF, 115 controls). Echocardiography measured LASI (E/e' divided by peak atrial longitudinal strain), left atrial volumes, strains (AP2%, AP4%), and electromechanical delays (SD2: inter-atrial; SD4: intra-left atrial). Multivariate logistic regression identified AF predictors. Nomogram performance was validated by ROC analysis and DCA.

resultsCompared to controls, the AF group had significantly larger LVDD/LVSD (P<0.001 both), lower 3D-LAEF% (P<0.001), lower E/e' (P<0.001), higher LASI (P<0.001), larger BSA (P<0.001), higher AP2% (P<0.001), lower AP4% (P<0.001), and longer SD4 (P<0.001). Multivariate analysis identified positive associations with AF risk for: BSA (OR=9.167, P<0.001), AP4% (OR=1.033, P=0.008), SD2 (OR=1.003, P=0.001), and LASI (OR=1.043, P<0.001). Negative associations were found for E/e' (OR=0.889, P=0.002) and SD4 (OR=0.997, P<0.001). ROC AUCs were: LASI=0.666, E/e'=0.707, BSA=0.682, SD2=0.615, AP4=0.666, SD4=0.705. The combined model AUC was 0.801. DCA identified LASI as the optimal single predictor (net benefit 0.3184).

conclusionLASI independently predicted AF risk in HFpEF. The validated nomogram, integrating LASI, BSA, and electromechanical markers (SD2, SD4, AP4%, E/e'), enables precise AF risk stratification, aiding early identification of high-risk patients for targeted intervention.

Indexed as

AFcardiac remodelingHFpEFLASInomogramprediction model

Identifiers

PMID41113023
PMCPMC12531505

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.