ArticleInternational journal of cardiology. Heart & vasculature2025
Association between phenotypic age and in-hospital outcomes in patients with acute myocardial infarction: A retrospective observational study.
Article in International journal of cardiology. Heart & vasculature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Nocturia is Associated with Biological Age not Chronological Age.Journal of community health · 2026Article
- Integrating biological aging into clinical practice: a review and path forward for precision longevity medicine.GeroScience · 2026Review
- Biological age acceleration predicts mortality and heart failure after acute myocardial infarction in older adults.Journal of geriatric cardiology : JGC · 2026Article
- Modifiable lifestyle factors and 4.9-Year changes in phenotypic age in the Taiwan biobank.Frontiers in aging · 2026Article
- Article
- Profile of biological aging in first primary cancers: a pan-cancer analysis of two large-scale cohorts from the UK and Hong Kong.BMC medicine · 2025Article
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8 authors.
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Abstract
Background: Phenotypic age (PhenoAge) has emerged as a superior predictor of age-related morbidity and mortality. This study aimed to assess the associations between PhenoAge and in-hospital outcomes in patients with acute myocardial infarction (AMI). Methods: 2896 AMI patients admitted to the First Affiliated Hospital of Xi'an Jiaotong University from 2019 to 2022 were analyzed in this retrospective study. PhenoAge was calculated by using the phenotypic age calculator, an equation for chronologic age and 9 clinical biomarkers, and Phenotypic Age Accelerate (PhenoAgeAccel) was measured using the residuals of regression PhenoAge on chronological age. Clinical outcomes were defined as in-hospital major adverse cardiovascular events (MACEs), including cardiogenic shock, malignant arrhythmia, acute heart failure, and mechanical complications. Results: Overall, patients with high PhenoAge had a higher Gensini score and a higher likelihood of receiving supportive care, as well as worse clinical outcomes. The same results were observed in patients with positive PhenoAgeAccel. Moreover, PhenoAge and PhenoAgeAccel were significantly associated with in-hospital MACEs even after adjusting for multiple traditional risk factors. The area under the curve for PhenoAge was 0.714 ( Conclusions: PhenoAge is significantly associated with clinical outcomes and reliably predicts in-hospital MACEs. Compared with chronological age, PhenoAge is a better complementary biomarker for predicting the risk of in-hospital adverse cardiovascular events in patients with AMI.
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