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Biological age is better than chronological as predictor of 3-month outcome in ischemic stroke
- Source :
- Neurology. 89(8)
- Publication Year :
- 2016
-
Abstract
- Objective:To analyze the effect of age-related DNA methylation changes in multiple cytosine-phosphate-guanine (CpG) sites (biological age [b-age]) on patient outcomes at 3 months after an ischemic stroke.Methods:We included 511 patients with first-ever acute ischemic stroke assessed at Hospital del Mar (Barcelona, Spain) as the discovery cohort. Demographic and clinical data, including chronological age (c-age), vascular risk factors, initial stroke severity, recanalization treatment, and previous and 3-month modified Rankin Scale (p-mRS and 3-mRS, respectively) were registered. B-age was estimated with an algorithm, based on DNA methylation in 71 CpGs. Bivariate analysis determined variables associated with 3-mRS for inclusion in ordinal multivariate analysis.Results:After ordinal regressions for 3-month ischemic stroke outcome (3-mRS), b-age was associated with outcome (odds ratio 1.04 [95% confidence interval 1.01–1.07]), nullifying c-age. Stepwise regression kept b-age, basal NIH Stroke Scale, sex, p-mRS, and recanalization treatment as better explanatory variables, instead of c-age. These results were successfully replicated in an independent cohort.Conclusions:B-age, estimated by DNA methylation, is an independent predictor of ischemic stroke outcome regardless of chronological years.
- Subjects :
- 0301 basic medicine
Male
medicine.medical_specialty
Aging
Multivariate analysis
Severity of Illness Index
Brain Ischemia
03 medical and health sciences
0302 clinical medicine
Modified Rankin Scale
Risk Factors
Internal medicine
Severity of illness
medicine
Humans
Prospective Studies
Prospective cohort study
Aged
Retrospective Studies
Aged, 80 and over
business.industry
Retrospective cohort study
Odds ratio
DNA Methylation
Prognosis
Confidence interval
Stroke
030104 developmental biology
Cross-Sectional Studies
Treatment Outcome
Cohort
Multivariate Analysis
Regression Analysis
Female
Neurology (clinical)
business
030217 neurology & neurosurgery
Algorithms
Subjects
Details
- ISSN :
- 1526632X
- Volume :
- 89
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- Neurology
- Accession number :
- edsair.doi.dedup.....cfd8c1ecbbf73ff19710a3164311d74b