ArticleThe journal of nutrition, health & aging2024
Association of phenotypic age and accelerated aging with severity and disability in patients with acute ischemic stroke.
Article in The journal of nutrition, health & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accelerated biological aging based on DNA methylation clocks is a predictor of stroke occurrence: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Integrating biological aging into clinical practice: a review and path forward for precision longevity medicine.GeroScience · 2026Review
- Associations between phenotypic age and carotid atherosclerosis among the general population: evidence from a multi-stage study.BMC cardiovascular disorders · 2026Article
- Associations of Biological Age and Heart Age Accelerations With New-Onset Stroke in Individuals With Cardiovascular-Kidney-Metabolic Syndrome Stages 0-3: Evidence From a Chinese Longitudinal Study.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Association between the newly introduced Diet Index for Gut Microbiota (DI-GM) and stroke prevalence: potential indirect associations via phenotypic age and body mass index (BMI).Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- PhenoAge and PhenoAgeAccel do not outperform chronological age in predicting physical performance decline or mortality in community-dwelling older adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Association of Epigenetic Aging Biomarkers With Risk of MASLD-Related HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- 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
- Life's Essential 8, phenotypic age, and cardiovascular age in prediabetes: predictive value in the UK Biobank and protein mediation in cardiovascular-diabetes comorbidity.European journal of medical research · 2025Article
- Association of biological age acceleration with poor outcome after endovascular thrombectomy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveBiological age may be more accurate than chronological age in determining chronic health outcomes. However, few studies have shown the association between biological age and acute ischemic stroke (AIS). In this study we showed the association between phenotypic age (PhenoAge) or accelerated aging and severity and disability in patients with AIS.
designRetrospective study. SETTING AND SUBJECTS: 936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation.
methodsStroke severity was evaluated based on the National Institute of Health stroke scale (NIHSS) questionnaire scale. Disability was evaluated by modified Rankin Scale. PhenoAge was calculated based on chronological age and 9 clinical chemistry biomarkers. Logistic regression analyses were applied to estimate the relationship between PhenoAge and the severity and disability.
resultsPhenoAge (odds ratio [OR] = 1.03, 95% confidence interval [CI]: 1.0-1.04, for NIHSS ≥ 5; OR = 1.05, 95%CI: 1.03-1.07, for NIHSS ≥ 10) was independently associated with stroke severity. The probability of NIHSS ≥ 5 or NIHSS ≥ 10 was significantly increased in individuals with accelerated ageing versus individuals with no accelerated aging (age gap: OR = 1.79, 95%CI: 1.18-2.72; OR = 3.53, 95%CI: 1.60-7.77; phenotypically older vs. phenotypically younger: OR = 2.01, 95%CI: 1.21-3.35; OR = 3.69, 95%CI: 1.36-10.0). Similar trends was observed when accelerated aging was defined by residual discrepancies between PhenoAge and chronological age (OR = 1.02, 95%CI: 1.01-1.04, for NIHSS ≥ 5; OR = 1.05, 95%CI: 1.02-1.08, for NIHSS ≥ 10). The area under the curve of PhenoAge was higher than that of chronological age in identifying patients with NIHSS ≥ 5 (0.66, 95%CI:0.62-0.70 vs. 0.61, 95%CI: 0.58-0.65, p < 0.01) and NIHSS ≥ 10 (0.69, 95%CI:0.60-0.77 vs. 0.63, 95%CI: 0.55-0.72, p = 0.05). The probability of severe disability was significantly increased in individuals with accelerated aging versus individuals with no accelerated aging (age gap: OR = 2.87, 95%CI: 1.09-7.53; phenotypically older vs. phenotypically younger: 4.88 (1.20-19.88). Similar results were observed in the validation population.
conclusionPhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age.
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