Evidence map›Paper›PMID 40762523›Full record

ArticleBlood pressure monitoring2025

Association of phenotypic age acceleration with the risk of all-cause and cardiovascular disease-related mortality in patients with hypertension.

Qiao Yu, Baoling Shang, Haijiao Sun, Wei Jiang, Qian Cao, Xu Zou

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Article in Blood pressure monitoring, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Predictive Value of Biological Age for All-Cause Mortality in Patients with COPD.International journal of chronic obstructive pulmonary disease · 2026
    Article
  3. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qiao YuDepartment of Cardiac Function Center.
Baoling ShangLinnan Deng's School of Internal Medicine Inheritance Studio.
Haijiao SunLinnan Deng's School of Internal Medicine Inheritance Studio.
Wei JiangDepartment of Cardiac Function Center.
Qian CaoResearch Department.
Xu ZouCardiovascular Department, The Second Clinical College of Guangzhou University of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the associations between phenotypic age acceleration (PhenoAgeAccel) and all-cause/cardiovascular disease (CVD)-related mortality in hypertensive patients.

methodsWe analyzed data from 14 352 hypertensive adults (≥20 years) in the National Health and Nutrition Examination Survey 1999-2010. PhenoAge was calculated using chronological age and nine biomarkers (albumin, creatinine, glucose, C-reactive protein, lymphocyte%, mean cell volume, red blood cell distribution width, alkaline phosphatase, and white blood cell count). PhenoAgeAccel was derived as residuals from linear regression of PhenoAge on chronological age. Participants were stratified by PhenoAge [<46.6792 (792-64.774 (T1-T2), ≥64.774 (≥T2)] and PhenoAgeAccel [<-4.3382 (382-0.9896 (T1-T2), ≥0.9896 (≥T2)] tertiles. Cox proportional hazards models assessed mortality risks.

resultsIncreased all-cause mortality was observed in hypertensive patients with PhenoAge in T1-T2 group [hazards ratio = 4.38, 95% confidence interval (CI): 3.79-5.06] and greater than or equal to T2 (hazards ratio = 14.22, 95% CI: 12.32-16.43). Significant association between PhenoAgeAccel greater than or equal to T2 and increased risk of all-cause mortality in hypertensive patients (hazards ratio = 1.41, 95% CI: 1.29-1.55) was identified. PhenoAge of T1-T2 (hazards ratio = 5.15, 95% CI: 3.86-6.86) and greater than or equal to T2 (hazards ratio = 20.20, 95% CI: 14.98-27.26) were related to increased CVD-related mortality in hypertensive patients. Increased risk of CVD-related mortality was identified in hypertensive patients with PhenoAgeAccel greater than or equal to T2 (hazards ratio = 1.35, 95% CI: 1.17-1.56).

conclusionElevated PhenoAge and PhenoAgeAccel significantly predict higher all-cause and CVD mortality in hypertension, supporting clinical risk stratification.

Indexed as

Cardiovascular DiseasesHypertensionAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysPhenotypeRisk Factorsall-cause mortalityCVD-related mortalityphenotypic agephenotypic age acceleration

Identifiers

PMID40762523
PMCPMC12406994

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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.