Risk variables of heart failure among patients in China: grey relational approach based multi-dimensional assessment study.

IF 3.4 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Xue Wang, Chao Deng, Xiantong Cao, Heng Gao
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引用次数: 0

Abstract

Background: Understanding the potential risk factors of heart diseases is key to effectively managing cardiac diseases. The present study quantifies the association of identified risk factors. In addition, the study has compared the association of mortality with hypertension, uncontrolled diabetes, and uncontrolled hyperlipidemia using Grey Relational Approach (GRA) for stroke, lung diseases, smoking, stress, obesity, and lack of exercise.

Method: Data on risk factors of heart failure were collected from the Global Burden of Disease (GBD) study (2001-2017). From the GBD database, variables have selected the top leading risk factors responsible for mortality from cardiac diseases. Data on risk factors was analyzed using the GRA procedure (utilizing Grey [8.0] software). In the GRA method, the correlation was categorized into three components: GRA - Deng (assesses the effect of one variable specified by data on the other variables), GRA- absolute (assesses the association between variables measured), and GRA-SS (assessed the overall association between the variables measured). Stroke, lung diseases, smoking, stress, obesity, and lack of exercise were taken as dependent variables and their impact was assessed. Hypertension (high grade) uncontrolled diabetes, and uncontrolled hyperlipidemia were considered as independent variables. The relationship between dependent and independent variables was assessed.

Results: Overall correlational analysis showed that type 2 diabetes (T2DM) is the risk factor that has a strong relationship with causing heart failure and thereby increases morbidity and mortality among Chinese patients. After T2DM, the second highest risk factor associated was severe dyslipidemia which is responsible for causing heart failure. High-grade hypertension is one-third most common risk factor in causing heart failure. GRA - Deng analysis showed that T2DM is the top risk factor associated with heart failure, followed by high-grade hypertension and severe dyslipidemia (uncontrolled). GRA-absolute analysis showed that severe dyslipidemia is the top risk factor associated with heart failure, followed by high-grade hypertension and T2DM (uncontrolled). GRA-SS analysis showed that high-grade hypertension is the top risk factor associated with heart failure, followed by severe dyslipidemia and T2DM (uncontrolled).

Conclusions: The study reported that T2DM, severe dyslipidemia, and high-grade hypertension as strongly correlated with the development of heart failure after considering other several key risk factors (stroke, lung diseases, smoking, stress, obesity, and lack of exercise).

Level of evidence: IV.

Technical efficacy: Stage 5.

中国心力衰竭患者的风险变量:基于灰色关系法的多维评估研究。
背景:了解心脏病的潜在风险因素是有效控制心脏病的关键。本研究量化了已确定的风险因素之间的关联。此外,该研究还采用灰色关联法(GRA)比较了死亡率与高血压、未控制的糖尿病和未控制的高脂血症、中风、肺部疾病、吸烟、压力、肥胖和缺乏运动的关联:心力衰竭风险因素数据来自全球疾病负担(GBD)研究(2001-2017 年)。从 GBD 数据库中筛选出了导致心脏疾病死亡的主要风险因素。风险因素数据采用 GRA 程序(利用 Grey [8.0] 软件)进行分析。在 GRA 方法中,相关性被分为三个部分:GRA - Deng(评估数据指定的一个变量对其他变量的影响)、GRA - absolute(评估所测变量之间的关联)和 GRA-SS (评估所测变量之间的总体关联)。中风、肺病、吸烟、压力、肥胖和缺乏运动被作为因变量,并对其影响进行评估。高血压(高度)、未控制的糖尿病和未控制的高脂血症被视为自变量。对因变量和自变量之间的关系进行了评估:总体相关分析表明,2 型糖尿病(T2DM)是与心力衰竭有密切关系的危险因素,从而增加了中国患者的发病率和死亡率。继 T2DM 之后,导致心力衰竭的第二大危险因素是严重的血脂异常。高血压是导致心力衰竭的三分之一最常见的危险因素。GRA - Deng 分析显示,T2DM 是导致心力衰竭的首要风险因素,其次是高级别高血压和严重血脂异常(未控制)。GRA-absolute 分析显示,严重血脂异常是导致心力衰竭的首要风险因素,其次是高血压和 T2DM(未控制)。GRA-SS分析显示,高血压是心力衰竭的首要风险因素,其次是严重血脂异常和T2DM(未控制):该研究报告指出,在考虑了其他几个关键风险因素(中风、肺部疾病、吸烟、压力、肥胖和缺乏运动)后,T2DM、严重血脂异常和高血压与心力衰竭的发生密切相关:证据等级:IV.技术疗效:技术疗效:第 5 阶段。
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来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
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