Literature DB >> 28734528

Exploring risk patterns for incident ischemic stroke during more than a decade of follow-up: A survival tree analysis.

Donna Parizadeh1, Azra Ramezankhani2, Amir Abbas Momenan2, Fereidoun Azizi3, Farzad Hadaegh4.   

Abstract

BACKGROUND AND
PURPOSE: The burden of stroke is increasing in low to middle income countries. Identifying risk patterns for ischemic stroke (IS) can help develop individualized preventive measures for at risk populations.
METHODS: The study population included 3088 Iranian subjects (1426 men) aged ≥50 years, free of cardiovascular diseases at baseline. The risk factors for ischemic stroke were identified by multivariate Cox analysis. A survival tree model was used to explore interactions between risk factors.
RESULTS: During 12years of follow-up, 106 cases of IS occurred. Age (hazard ratio (HR): 1.08), male gender (HR: 1.69), diastolic blood pressure (DBP) (HR: 1.04), fasting plasma glucose (HR: 1.10), waist circumference (WC) (HR: 1.03) and smoking (HR: 1.96), were associated with increased risk and estimated glomerular filtration rate (eGFR) (HR: 0.97) and wrist circumference (HR: 0.68) decreased the risk of IS (all P-values <0.05). The survival tree identified six risk patterns. The highest and lowest risks were related to subjects ≥60.5years with DBP ≥100mmHg and subjects <60.5years with DBP<97mmHg, respectively. In subjects ≥60.5years with DBP <100mmHg, risk of ischemic stroke was determined by WC ≥96.5cm or (eGFR) <60.87ml/min/1.73m2.
CONCLUSION: By applying survival tree as a complementary method to the conventional Cox-analysis, for the first time, we identified risk patterns of ischemic stroke and explored the interactions between risk factors of the disease. DBP was the most important predictor of ischemic stroke in middle-aged and old subjects. In elderly subjects with DBP <100mmHg, abdominal obesity was associated with high risk; however, among non-obese subjects, kidney dysfunction increased the risk of ischemic stroke. Wrist circumference was reported as a novel predictor.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Decision tree; Diastolic blood pressure; Ischemic stroke; Risk assessment; Survival tree; Wrist circumference

Mesh:

Year:  2017        PMID: 28734528     DOI: 10.1016/j.cmpb.2017.06.006

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  5 in total

1.  Analysing First Birth Interval by A CART Survival Tree.

Authors:  Mahsa Saadati; Arezoo Bagheri
Journal:  Int J Fertil Steril       Date:  2020-10-12

2.  Application of survival tree analysis for exploration of potential interactions between predictors of incident chronic kidney disease: a 15-year follow-up study.

Authors:  Azra Ramezankhani; Maryam Tohidi; Fereidoun Azizi; Farzad Hadaegh
Journal:  J Transl Med       Date:  2017-11-28       Impact factor: 5.531

Review 3.  Tobacco Smoking: Findings from 20 Years of the Tehran Lipid and Glucose Study.

Authors:  Donna Parizadeh; Amir Abbas Momenan; Atieh Amouzegar; Fereidoun Azizi; Farzad Hadaegh
Journal:  Int J Endocrinol Metab       Date:  2018-10-31

Review 4.  Blood Pressure and Hypertension: Findings from 20 Years of the Tehran Lipid and Glucose Study (TLGS).

Authors:  Hengameh Abdi; Atieh Amouzegar; Maryam Tohidi; Fereidoun Azizi; Farzad Hadaegh
Journal:  Int J Endocrinol Metab       Date:  2018-10-20

5.  Sex differences in the association between diabetes and hypertension and the risk of stroke: cohort of the Tehran Lipid and Glucose Study.

Authors:  Azra Ramezankhani; Donna Parizadeh; Fereidoun Azizi; Farzad Hadaegh
Journal:  Biol Sex Differ       Date:  2022-03-15       Impact factor: 5.027

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.