PDF(Pubmed)
Abstract：
UNASSIGNED: Cardiovascular diseases (CVD) are the leading cause of death globally. Metabolic syndrome (MtS) is a risk factor that increases the likelihood of CVD. The atherogenic index (AIP), calculated as the logarithm of the ratio of triglycerides (TG) to high-density lipoprotein cholesterol (HDL) cholesterol in plasma, is a valuable marker for highly atherogenic small dense low-density lipoprotein cholesterol particles. This study aimed to explore MtS prevalence and investigate the potential of using the AIP as a predictor for CVD risk factors in adults from the Qassim region of Saudi Arabia.
UNASSIGNED: The cross-sectional study enrolled 589 participants from public hospitals in nine major cities who completed a detailed questionnaire on health, diet, and lifestyle. Anthropometric measurements and some clinical parameters were measured.
UNASSIGNED: The findings indicated a significant prevalence of MtS (37.5%) among participants from the Qassim Area, which was higher in males (39.9%) than females (34.9%). Nevertheless, a significant prevalence was shown for CVD risk factors among participants, with hyperglycemia (78.1%), hypertriglyceridemia (39.0%), hypo-HDL-cholesterolemia (38.9%), and hypertension (21.6%) being common. The AIP\'s performance in identifying CVD risk factors showed a receiver operating characteristic value of 0.909 (P < 0.001). The optimal cutoff value for the AIP was determined to be 0.468, demonstrating high sensitivity (84.8%) and specificity (78.6%).
UNASSIGNED: Incorporating AIP into clinical practice could enhance CVD risk prediction compared to using lipid profiles alone. These findings suggest that there is a high prevalence of MtS among adults in the Qassim region of Saudi Arabia. Further longitudinal studies are needed to recommend AIP as a robust tool for predicting CVD in clinical settings.
UNASSIGNED: The cross-sectional study enrolled 589 participants from public hospitals in nine major cities who completed a detailed questionnaire on health, diet, and lifestyle. Anthropometric measurements and some clinical parameters were measured.
UNASSIGNED: The findings indicated a significant prevalence of MtS (37.5%) among participants from the Qassim Area, which was higher in males (39.9%) than females (34.9%). Nevertheless, a significant prevalence was shown for CVD risk factors among participants, with hyperglycemia (78.1%), hypertriglyceridemia (39.0%), hypo-HDL-cholesterolemia (38.9%), and hypertension (21.6%) being common. The AIP\'s performance in identifying CVD risk factors showed a receiver operating characteristic value of 0.909 (P < 0.001). The optimal cutoff value for the AIP was determined to be 0.468, demonstrating high sensitivity (84.8%) and specificity (78.6%).
UNASSIGNED: Incorporating AIP into clinical practice could enhance CVD risk prediction compared to using lipid profiles alone. These findings suggest that there is a high prevalence of MtS among adults in the Qassim region of Saudi Arabia. Further longitudinal studies are needed to recommend AIP as a robust tool for predicting CVD in clinical settings.
摘要：
■心血管疾病（CVD）是全球死亡的主要原因。代谢综合征（MtS）是增加CVD可能性的危险因素。动脉粥样硬化指数（AIP），计算为血浆中甘油三酯（TG）与高密度脂蛋白胆固醇（HDL）胆固醇之比的对数，是高度动脉粥样硬化的小致密低密度脂蛋白胆固醇颗粒的有价值的标记。本研究旨在探索MtS患病率，并研究使用AIP作为沙特阿拉伯Qassim地区成年人CVD危险因素预测因子的潜力。
这项横断面研究招募了来自9个主要城市公立医院的589名参与者，他们完成了一份关于健康的详细问卷，饮食，和生活方式。测量人体测量和一些临床参数。
■研究结果表明，在卡西姆地区的参与者中，MtS的患病率很高（37.5％），男性(39.9%)高于女性(34.9%)。然而，参与者中CVD危险因素的患病率显著,高血糖（78.1%），高甘油三酯血症（39.0%），hypo-HDL-胆固醇血症（38.9%），和高血压（21.6%）是常见的。AIP在识别CVD危险因素方面的表现显示接收器工作特征值为0.909(P<0.001)。AIP的最佳截断值被确定为0.468,表明高灵敏度(84.8%)和特异性(78.6%)。
■与单独使用血脂相比，将AIP纳入临床实践可以提高CVD风险预测。这些发现表明，沙特阿拉伯Qassim地区的成年人中MtS的患病率很高。需要进一步的纵向研究来推荐AIP作为在临床环境中预测CVD的可靠工具。
这项横断面研究招募了来自9个主要城市公立医院的589名参与者，他们完成了一份关于健康的详细问卷，饮食，和生活方式。测量人体测量和一些临床参数。
■研究结果表明，在卡西姆地区的参与者中，MtS的患病率很高（37.5％），男性(39.9%)高于女性(34.9%)。然而，参与者中CVD危险因素的患病率显著,高血糖（78.1%），高甘油三酯血症（39.0%），hypo-HDL-胆固醇血症（38.9%），和高血压（21.6%）是常见的。AIP在识别CVD危险因素方面的表现显示接收器工作特征值为0.909(P<0.001)。AIP的最佳截断值被确定为0.468,表明高灵敏度(84.8%)和特异性(78.6%)。
■与单独使用血脂相比，将AIP纳入临床实践可以提高CVD风险预测。这些发现表明，沙特阿拉伯Qassim地区的成年人中MtS的患病率很高。需要进一步的纵向研究来推荐AIP作为在临床环境中预测CVD的可靠工具。
