Investigating the Association between Chronic Kidney Disease and Ischaemic Stroke from a Health Examination Database

Chao Ou-Yang, Theresa Lalita Handaruputri, Han-Cheng Wang, Chiehfeng Chen

Research output: Contribution to journalArticle

Abstract

Stroke has become one of the leading causes of death, with ischaemic stroke as the most common type of stroke occurrence compared to haemorrhagic stroke. Chronic kidney disease(CKD), another important cause of death, shares several traditional cardiovascular riskfactors with ischaemic stroke. Therefore, it is important to examine the existence of shared risk factors in the association between CKD and ischaemic stroke. This study used a health examination database from a medical centre in Taiwan. A generalized linear regression analysis was used to determine the association between CKD and ischaemic stroke. The Maentel-Haenszel test was performed to analyse the effect of possible confounding factors on the association between CKD and ischaemic stroke. A prevalence rate study showed that more subjects with CKD suffered from ischaemic stroke than subjects without CKD. Diabetes, hypertension, hypertriglyceridemia, and hypercholesterolemia were associated with increased risks of ischaemic stroke in CKD subjects. There was an inverse association of the odds ratio of ischaemic stroke between CKD and non-CKD patients, which implied that younger subjects with CKD should be made aware of ischaemic stroke prevention.
Original languageEnglish
JournalScientific Reports
Volume8
Issue number1
DOIs
Publication statusPublished - 2018

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Chronic Renal Insufficiency
Stroke
Databases
Health
Cause of Death
Hypertriglyceridemia
Kidney Diseases
Hypercholesterolemia
Taiwan
Linear Models
Cross-Sectional Studies
Odds Ratio
Regression Analysis
Hypertension

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Investigating the Association between Chronic Kidney Disease and Ischaemic Stroke from a Health Examination Database. / Ou-Yang, Chao; Handaruputri, Theresa Lalita; Wang, Han-Cheng; Chen, Chiehfeng.

In: Scientific Reports, Vol. 8, No. 1, 2018.

Research output: Contribution to journalArticle

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