糖尿病和非糖尿病缺血性脑卒中患者血脂水平的比较

Niken Puspa Kuspriyanti, Dina Nabila Lestari, Sofie Kaniawati
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引用次数: 0

摘要

糖尿病会导致血脂异常,导致糖尿病患者出现血脂异常,从而导致缺血性中风。本研究旨在对比2型糖尿病和非2型糖尿病缺血性脑卒中患者的血脂水平,以预防脑卒中复发,治疗糖尿病中的血脂异常,并评估2型糖尿病与非2型DM缺血性脑卒中的治疗效果。RSUD Ciamis利用2020年的二次医疗记录数据进行了横断面设计。数据采用非概率抽样方法收集,抽样范围由纳入和排除标准决定。采用单变量分析确定数量并进行计算。此外,在双变量分析中,使用独立的t检验和卡方检验来检验两个假设。纳入年龄、性别、高血压和冠心病的多方面分析,观察其对T2DM和非T2DM缺血性卒中患者的影响。通过使用四种脂质图谱指标,差异仅在于甘油三酯。而总胆固醇、低密度脂蛋白和高密度脂蛋白则不显著。同时,高血压和冠心病显著影响缺血性脑卒中的发生率。
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a Comparison of Lipid Profile in Ischemic Stroke Patiens with Diabetes Mellitus and Non-Diabetes Mellitus at Rumah Sakit Umum Daerah Ciamis 2020
Diabetes mellitus causes lipid profile abnormalities, resulting in dyslipidemia in diabetic patients leading to ischemic stroke. This research aims to contrast lipid profiles in ischemic stroke patients with type 2 diabetes mellitus (T2DM) and non-type 2 diabetes mellitus (non-T2DM) to prevent stroke recurrence, treat dyslipidemia in diabetes mellitus, and evaluate for treatment of T2DM and non-T2DM ischemic stroke patients. A cross-sectional design was conducted at RSUD Ciamis using secondary medical record data in 2020. The data was collected using a nonprobability sampling approach, with the sampling extent determined by inclusion and exclusion criteria. Univariate analysis was used to determine the quantity and calculation. Besides, an independent t-test and chi-square test was utilized to test two hypotheses in bivariate analysis. Multifaceted analysis in age, gender, hypertension, and coronary heart disease was incorporated to observe its influence on T2DM and non-T2DM ischemic stroke patients. By using four lipid profile indicators, the differences were only in the triglyceride. While the total cholesterol, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) were insignificant. Meanwhile, hypertension and coronary heart disease (CHD) significantly affect the incidence of ischemic stroke.
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