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人体测量指标在预测10年动脉粥样硬化性心血管疾病(ASCVD)风险中的比较效能:来自美国国家健康与营养检查调查(NHANES)数据的见解

Comparative efficacy of anthropometric indices in predicting 10-year ASCVD risk: insights from NHANES data.

作者信息

Tang Li, Zeng Ling

机构信息

Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.

West China School of Nursing, Sichuan University, Chengdu, China.

出版信息

Front Cardiovasc Med. 2024 Feb 29;11:1341476. doi: 10.3389/fcvm.2024.1341476. eCollection 2024.

Abstract

BACKGROUND

Cardiovascular diseases remain a leading cause of morbidity and mortality worldwide. Accurately predicting the 10-year risk of Atherosclerotic Cardiovascular Disease (ASCVD) is crucial for timely intervention and management. This study aimed to evaluate the predictive performance of six anthropometric indices in assessing the 10-year ASCVD risk.

METHODS

Utilizing data from the National Health and Nutrition Examination Survey (NHANES) database (1999-2018), the study involved 11,863 participants after applying exclusion criteria. Six anthropometric indices-waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and waist-to-height ratio (WHT.5R)-were calculated. The 10-year ASCVD risk was assessed using the 2013 ACC/AHA guidelines & pooled cohort equations model. Participants were divided into two groups based on an ASCVD risk threshold of 7.5%. Statistical analysis included chi-square tests, odds ratios, and receiver operating characteristic (ROC) curves.

RESULTS

The study found significant differences in baseline characteristics between participants with ASCVD risk less than 7.5% and those with a risk greater than or equal to 7.5%, stratified by gender. In both male and female groups, individuals with higher ASCVD risk exhibited higher age, waist circumference, BMI, and a higher prevalence of health-compromising behaviors. ABSI emerged as the most accurate predictor of ASCVD risk, with the highest area under the curve (AUC) values in both genders. The optimal cut-off values for ABSI was established for effective risk stratification (cut-off value = 0.08).

CONCLUSION

The study underscores the importance of anthropometric indices, particularly ABSI, in predicting the 10-year risk of ASCVD. These findings suggest that ABSI, along with other indices, can be instrumental in identifying individuals at higher risk for ASCVD, thereby aiding in early intervention and prevention strategies.

摘要

背景

心血管疾病仍然是全球发病和死亡的主要原因。准确预测动脉粥样硬化性心血管疾病(ASCVD)的10年风险对于及时干预和管理至关重要。本研究旨在评估六种人体测量指标在评估10年ASCVD风险方面的预测性能。

方法

利用国家健康与营养检查调查(NHANES)数据库(1999 - 2018年)的数据,在应用排除标准后,该研究纳入了11,863名参与者。计算了六种人体测量指标——腰围(WC)、体重指数(BMI)、腰高比(WHtR)、体型指数(ABSI)、身体圆润度指数(BRI)和腰高比(WHT.5R)。使用2013年美国心脏病学会/美国心脏协会(ACC/AHA)指南及汇总队列方程模型评估10年ASCVD风险。根据ASCVD风险阈值7.5%将参与者分为两组。统计分析包括卡方检验、比值比和受试者工作特征(ROC)曲线。

结果

该研究发现,按性别分层后,ASCVD风险低于7.5%的参与者与风险大于或等于7.5%的参与者在基线特征方面存在显著差异。在男性和女性组中,ASCVD风险较高的个体年龄更大、腰围更大、BMI更高,且有害健康行为的患病率更高。ABSI成为ASCVD风险最准确的预测指标,在两性中曲线下面积(AUC)值最高。确定了ABSI的最佳截断值以进行有效的风险分层(截断值 = 0.08)。

结论

该研究强调了人体测量指标,特别是ABSI,在预测10年ASCVD风险方面的重要性。这些发现表明,ABSI与其他指标一起,可有助于识别ASCVD风险较高的个体,从而有助于早期干预和预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/10937732/18ab390277da/fcvm-11-1341476-g001.jpg

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