Evidence map›Paper›PMID 42366350›Full record

ArticleBMC cardiovascular disorders2026

Plasma cyclophilin a as a novel predictor of major adverse cardiac events in patients with acute myocardial injury cohort study.

Chaopu Zhang, Wei Zhong, Xiang Tang, Xia Sun

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Article in BMC cardiovascular disorders, 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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5 · Who and what money

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4 authors.

Chaopu ZhangDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212000, China.
Wei ZhongDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212000, China.
Xiang TangDepartment of Endocrinology and Metabolism, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212000, China.
Xia SunDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212000, China. 18151657970@163.com.ORCID http://orcid.org/0009-0005-6450-2696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCyclophilin A (CypA) is a multifaceted immunophilin implicated in cardiovascular disease; however, its predictive value for Major Adverse Cardiac Events (MACEs) after acute myocardial injury remains poorly defined. PURPOSE: The study aimed to analyze whether admission Plasma CyPA independently predicts MACEs and to assess its predictive feasibility beyond recognized clinical risk factors.

methodIn this cohort study, 217 adults with an acute myocardial injury diagnosis exhibiting symptom onset within 24 hours and high cardiac troponin 1 were included. Plasma CyPA concentrations were evaluated using enzyme-linked immunosorbent assay. Participants were closely followed up for 6 months to determine MACEs, defined as all-cause mortality, ischemic stroke, nonfatal myocardial infarction, or unexpected heart failure hospitalization. Receiver Operating Characteristic (ROC) analysis, multivariable Cox proportional hazard models, Kaplan-Meier survival curves, and calibration analysis were conducted with adjusted standard covariates.

result30% of participants experienced MACEs, with significantly higher CyPA concentrations among those with events than among those without (median 1.942 vs. 1.026 ng/mL; p < 0.001). CyPA demonstrated good discriminatory ability (AUC 0.755; 95% CI: 0.680-0.830), with an optimal cutoff of 1.651 ng/mL. Higher CyPA levels were associated with significantly lower event-free survival. In multivariable analysis, CyPA remained an independent predictor of MACEs (HR 1.698; 95% CI: 1.462-1.973; p < 0.001). The overall Brier score was 0.158, reinforcing satisfactory precision of absolute risk prediction.

conclusionIntegration of CyPA into the baseline model significantly enhanced analytical performance, improving the C-index from 0.632 to 0.770. These conclusions suggest that CyPA may be a promising biomarker for risk stratification in acute myocardial injury and warrants external validation.

Indexed as

Cyclophilin AMyocardial InfarctionAgedBiomarkersFemaleHeart FailureHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentRisk FactorsStrokeTime FactorsBiomarkersCyclophilin AB-type Natriuretic Peptide (BNP)Cardiac Troponin ICardiovascular OutcomesCyclophilin A (CyPA)Left Ventricular Ejection FractionMajor Adverse Cardiac Events (MACEs)Plasma BiomarkerRisk Stratification

Identifiers

PMID42366350
PMCPMC13576112

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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.