Yongkang Liu , Jiangchuan Wang , Zicheng Wei , Yu Wang , Minghua Wu , Jianhua Wang , Xiao Chen , Rong Chen
{"title":"急性缺血性脑卒中患者的表型年龄和加速衰老与严重程度和残疾的关系。","authors":"Yongkang Liu , Jiangchuan Wang , Zicheng Wei , Yu Wang , Minghua Wu , Jianhua Wang , Xiao Chen , Rong Chen","doi":"10.1016/j.jnha.2024.100405","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>Biological 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.</div></div><div><h3>Design</h3><div>Retrospective study.</div></div><div><h3>Setting and subjects</h3><div>936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation.</div></div><div><h3>Methods</h3><div>Stroke 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.</div></div><div><h3>Results</h3><div>PhenoAge (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.</div></div><div><h3>Conclusion</h3><div>PhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age.</div></div>","PeriodicalId":54778,"journal":{"name":"Journal of Nutrition Health & Aging","volume":"28 12","pages":"Article 100405"},"PeriodicalIF":4.3000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of phenotypic age and accelerated aging with severity and disability in patients with acute ischemic stroke\",\"authors\":\"Yongkang Liu , Jiangchuan Wang , Zicheng Wei , Yu Wang , Minghua Wu , Jianhua Wang , Xiao Chen , Rong Chen\",\"doi\":\"10.1016/j.jnha.2024.100405\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>Biological 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.</div></div><div><h3>Design</h3><div>Retrospective study.</div></div><div><h3>Setting and subjects</h3><div>936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation.</div></div><div><h3>Methods</h3><div>Stroke 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.</div></div><div><h3>Results</h3><div>PhenoAge (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.</div></div><div><h3>Conclusion</h3><div>PhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age.</div></div>\",\"PeriodicalId\":54778,\"journal\":{\"name\":\"Journal of Nutrition Health & Aging\",\"volume\":\"28 12\",\"pages\":\"Article 100405\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nutrition Health & Aging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1279770724004937\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nutrition Health & Aging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1279770724004937","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Association of phenotypic age and accelerated aging with severity and disability in patients with acute ischemic stroke
Objective
Biological 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.
Design
Retrospective 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.
Methods
Stroke 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.
Results
PhenoAge (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.
Conclusion
PhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age.
期刊介绍：
There is increasing scientific and clinical interest in the interactions of nutrition and health as part of the aging process. This interest is due to the important role that nutrition plays throughout the life span. This role affects the growth and development of the body during childhood, affects the risk of acute and chronic diseases, the maintenance of physiological processes and the biological process of aging. A major aim of "The Journal of Nutrition, Health & Aging" is to contribute to the improvement of knowledge regarding the relationships between nutrition and the aging process from birth to old age.
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