Evidence mapPaperPMID 41114784Full record

ArticleInternational urology and nephrology2026

Serum PCSK9 level as a potential biomarker relating to age, cholesterol and predicting major adverse cardiovascular event risk in hemodialysis patients.

Yunxia Li, Wenxiu Chai, Panpan Cai, Ye Xin, Jianbo Shao

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Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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5 · Who and what money

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5 authors.

Yunxia LiDepartment of Nephrology, Handan Central Hospital, Handan, 056000, Hebei, China.
Wenxiu ChaiDepartment of Nephrology, Handan Central Hospital, Handan, 056000, Hebei, China.
Panpan CaiDepartment of Nephrology, Handan Central Hospital, Handan, 056000, Hebei, China.
Ye XinDepartment of Nephrology, Handan Central Hospital, Handan, 056000, Hebei, China.
Jianbo ShaoDepartment of Ultrasound, Handan Central Hospital, No.15 Zhonghua Street, Hanshan District, Handan, 056000, Hebei, China. shaojianbokeyan@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveProprotein convertase subtilisin/kexin type 9 (PCSK9) regulates cholesterol metabolism, vascular inflammation, plaque formation, atherosclerosis, and renal injury. This study aimed to investigate the level of serum PCSK9 and its association with clinical characteristics and particularly major adverse cardiovascular event (MACE) risk in hemodialysis patients.

methodsA Sum of 177 hemodialysis patients and 50 healthy subjects was included in this study. Serum PCSK9 level was determined by enzyme-linked immunosorbent assay. MaCE information is collected in hemodialysis patients with a median follow-up period of 15.8 months.

resultsPCSK9 level was 179.0 [interquartile range (IQR): 106.9-297.7] ng/mL in hemodialysis patients, which was higher than that of 121.0 (IQR: 76.1-185.1) ng/mL in healthy subjects (P < 0.001). PCSK9 level was positively correlated with age (r = 0.202, P = 0.007), total cholesterol (TC) (r = 0.235, P = 0.002), and low-density lipoprotein cholesterol (LDL-C) (r = 0.271, P < 0.001) in hemodialysis patients. 18.1% of hemodialysis patients experienced MACE during the follow-up; PCSK9 level was 287.8 (IQR: 167.3-441.3) ng/mL in cases that experienced MaCE, which was higher than that of 163.3 (IQR: 98.4-277.0) ng/mL in those who did not (P < 0.001). Receiver operator characteristic curve revealed that PCSK9 level could estimate MaCE risk with area under the curve at 0.719, and the best cutoff threshold was 163.5 ng/mL. After adjustment by four models involving different types of parameters, PCSK9 level and PCSK9 > 163.5 ng/mL independently predicted a higher MACE risk.

conclusionSerum PCSK9 level correlates with age, TC, and LDL-C, and predicts a higher MACE risk in hemodialysis patients, indicating its potency as a prognostic biomarker.

Indexed as

Cardiovascular DiseasesCholesterolKidney Failure, ChronicProprotein Convertase 9Renal DialysisAdultAgedAge FactorsBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk AssessmentBiomarkersCholesterolPCSK9 protein, humanProprotein Convertase 9Clinical characteristicsHemodialysisMACE riskPCSK9Serum level

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PMID41114784

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