Association of phenotypic age and accelerated aging with severity and disability in patients with acute ischemic stroke
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 an...
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Published in | The Journal of nutrition, health & aging Vol. 28; no. 12; p. 100405 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Masson SAS
01.12.2024
Elsevier |
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Abstract | 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.
Retrospective study.
936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation.
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.
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.
PhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age. |
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AbstractList | 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.
Retrospective study.
936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation.
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.
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.
PhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age. 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.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.Retrospective study.DESIGNRetrospective study.936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation.SETTING AND SUBJECTS936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation.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.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.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.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.PhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age.CONCLUSIONPhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age. 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. 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. Retrospective study. 936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation. 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. 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. PhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age. |
ArticleNumber | 100405 |
Author | Wu, Minghua Chen, Rong Wang, Jiangchuan Wang, Yu Wang, Jianhua Wei, Zicheng Chen, Xiao Liu, Yongkang |
Author_xml | – sequence: 1 givenname: Yongkang surname: Liu fullname: Liu, Yongkang organization: Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China – sequence: 2 givenname: Jiangchuan surname: Wang fullname: Wang, Jiangchuan organization: Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China – sequence: 3 givenname: Zicheng surname: Wei fullname: Wei, Zicheng organization: Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China – sequence: 4 givenname: Yu surname: Wang fullname: Wang, Yu organization: Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China – sequence: 5 givenname: Minghua surname: Wu fullname: Wu, Minghua organization: Encephalopathy Center, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China – sequence: 6 givenname: Jianhua surname: Wang fullname: Wang, Jianhua email: wangjianhua84@163.com organization: Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China – sequence: 7 givenname: Xiao orcidid: 0000-0002-8354-9087 surname: Chen fullname: Chen, Xiao email: chxwin@163.com organization: Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China – sequence: 8 givenname: Rong surname: Chen fullname: Chen, Rong organization: Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 100 N Greene, Baltimore, MD 21201, United States |
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Keywords | NIHSS CRP SBP Phenotypic age MCV AST OR LDL-c CI ROC Severity AIS AUC mRS TC Disability HDL-c DBP TG Acute ischemic stroke DWI |
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Snippet | Biological age may be more accurate than chronological age in determining chronic health outcomes. However, few studies have shown the association between... Objective: Biological age may be more accurate than chronological age in determining chronic health outcomes. However, few studies have shown the association... |
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SubjectTerms | Acute ischemic stroke Aged Aged, 80 and over Aging - physiology Disability Disability Evaluation Disabled Persons - statistics & numerical data Female Humans Ischemic Stroke Male Middle Aged NIHSS Phenotype Phenotypic age Retrospective Studies Severity Severity of Illness Index |
Title | Association of phenotypic age and accelerated aging with severity and disability in patients with acute ischemic stroke |
URI | https://www.clinicalkey.com/#!/content/1-s2.0-S1279770724004937 https://dx.doi.org/10.1016/j.jnha.2024.100405 https://www.ncbi.nlm.nih.gov/pubmed/39489143 https://www.proquest.com/docview/3123802243 https://doaj.org/article/1489dac30bf548788f6805a5ad165c8d |
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