Evidence map›Paper›PMID 42058485›Full record

ArticleFrontiers in cardiovascular medicine2026

Combined diagnostic value of NT-proBNP, DLK-1, PSP-D and PCSK-9 in heart failure with preserved ejection fraction: a prospective biomarker study.

Liu Xiaobin, Qin Yu, Feng Jingjie, Liu Chang, Zhang Shuang, Yang Jianing, Wen Jiangping, Niu Yonghong

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Article in Frontiers in cardiovascular medicine, 2026. 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

8 authors.

Liu Xiaobin *The First Hospital of Tsinghua University, Beijing, China.
Qin Yu *The First Hospital of Tsinghua University, Beijing, China.
Feng JingjieDepartment of Medical Genetics and Developmental Biology, School of Basic Medical Sciences, Beijing, China.
Liu ChangThe First Hospital of Tsinghua University, Beijing, China.
Zhang ShuangThe First Hospital of Tsinghua University, Beijing, China.
Yang JianingThe First Hospital of Tsinghua University, Beijing, China.
Wen JiangpingThe First Hospital of Tsinghua University, Beijing, China.
Niu YonghongThe First Hospital of Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart failure with preserved ejection fraction (HFpEF) remains a formidable clinical challenge due to its intricate pathophysiology and the difficulty in early diagnosis. Traditional biomarkers for HFpEF are often insufficient in clinical practice, driving the need for more novel, sensitive diagnostic markers. Methods: Serum samples from 58 HFpEF patients and 30 healthy controls were analyzed using Olink proteomics technology. Advanced machine-learning algorithms were employed to comprehensively compare the diagnostic performance of individual biomarkers and their combinations. Results: The serum levels of DLK-1, PSP-D, and PCSK-9 in HFpEF patients were higher than those in the control group. NT-proBNP, UA and PCSK-9 were identified as risk factors for HFpEF, with regression coefficients of 0.009 for NT-proBNP, 0.006 for UA, and 1.061 for PCSK-9 respectively. The area under the receiver operating characteristic curve (AUC) of the combination of NT-proBNP, DLK-1, PSP-D and PCSK-9 for the diagnosis of HFpEF reached 0.794. This value outperformed the AUC of the combination of PCSK-9 and NT-proBNP, 0.788, the combination of three markers (DLK-1, PSP-D, and PCSK-9, 0.622), as well as the AUCs of each of the four markers alone (NT-proBNP: 0.778, DLK-1: 0.578, PSP-D: 0.523, PCSK-9: 0.628). Conclusion: The combined detection of NT-proBNP, DLK-1, PSP-D and PCSK-9 can significantly enhance the specificity and sensitivity of the clinical diagnosis of HFpEF patients, holding great potential for improving the diagnostic accuracy of HFpEF in clinical settings.

Indexed as

DLK-1heart failureNT-proBNPPCSK-9PSP-D

Identifiers

PMID42058485
PMCPMC13121242

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