Wang Xue, Deng Chao, Cao Xiantong, Gao Heng
Department of Cardiovascular Surgery, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, P.R. China.
Department of Emergency Internal Medicine, Shaanxi Provincial People's Hospital, 256 Youyi West Road, Xi'an, 710068, P.R. China.
Diabetol Metab Syndr. 2024 Aug 23;16(1):205. doi: 10.1186/s13098-024-01445-2.
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.
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.
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).
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).
IV.
Stage 5.
了解心脏病的潜在风险因素是有效管理心脏病的关键。本研究对已确定的风险因素之间的关联进行了量化。此外，该研究还使用灰色关联分析法（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在中风、肺部疾病、吸烟、压力、肥胖和缺乏运动方面的关联。
从全球疾病负担（GBD）研究（2001 - 2017年）中收集心力衰竭风险因素的数据。从GBD数据库中，选取了导致心脏病死亡的主要风险因素变量。使用GRA程序（利用Grey [8.0]软件）对风险因素数据进行分析。在GRA方法中，相关性分为三个部分：GRA - Deng（评估一个数据指定变量对其他变量的影响）、GRA - 绝对（评估测量变量之间的关联）和GRA - SS（评估测量变量之间的总体关联）。将中风、肺部疾病、吸烟、压力、肥胖和缺乏运动作为因变量，并评估它们的影响。将高血压（重度）、未控制的糖尿病和未控制的高脂血症视为自变量。评估因变量和自变量之间的关系。
总体相关性分析表明，2型糖尿病（T2DM）是与导致心力衰竭密切相关的风险因素，从而增加了中国患者的发病率和死亡率。仅次于T2DM的第二高风险因素是严重血脂异常，它是导致心力衰竭的原因。重度高血压是导致心力衰竭的第三大常见风险因素。GRA - Deng分析表明，T2DM是与心力衰竭相关的首要风险因素，其次是重度高血压和严重血脂异常（未控制）。GRA - 绝对分析表明，严重血脂异常是与心力衰竭相关的首要风险因素，其次是重度高血压和T2DM（未控制）。GRA - SS分析表明，重度高血压是与心力衰竭相关的首要风险因素，其次是严重血脂异常和T2DM（未控制）。
该研究报告称，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、严重血脂异常和重度高血压与心力衰竭的发生密切相关。
IV。
5级。
