UNASSIGNED: This analytical case-control investigation encompassed 800 individuals aged 18 or above from the Cardiology Department of the Second Affiliated Hospital of Baotou Medical College over a span from January 2021 to April 2022. Data extraction was conducted from inpatient records. The nexus between the four metrics and LVH susceptibility was ascertained via logistic regression models. Furthermore, the receiver operating characteristic (ROC) curve\'s area (AUC) shed light on the discriminative capacities of the distinct IR indicators for LVH, considering other concomitant risk variables.
UNASSIGNED: Post multifaceted covariate adjustments, the fourth quartile figures for TyG-BMI emerged as the most starkly significant (OR: 5.211, 95% CI: 2.861-9.492), succeeded by METS-IR (OR: 4.877, 95% CI: 2.693-8.835). In juxtaposition with other IR-derived indices (TyG and TG/HDL-c), TyG-BMI manifested the paramount AUC (AUC: 0.657; 95% CI: 0.606-0.708). Concurrently, METS-IR exhibited commendable predictive efficacy for LVH (AUC: 0.646; 95% CI: 0.595-0.697).
UNASSIGNED: TyG-BMI and METS-IR displayed superior discriminative capabilities for LVH, underscoring their potential as supplementary indicators in gauging LVH peril in clinical settings and prospective epidemiological research.
方法:本次分析性病例对照调查纳入了包头医学院第二附属医院心内科的800名18岁及以上人群,时间为2021年1月至2022年4月。从住院记录中进行数据提取。通过逻辑回归模型确定四个指标与LVH易感性之间的关系。此外,接收器工作特性(ROC)曲线的面积(AUC)揭示了不同IR指标对LVH的辨别能力,考虑其他伴随的风险变量。
结果:经过多方面的协变量调整,TyG-BMI的第四个四分位数是最显著的(OR:5.211,95%CI:2.861-9.492),METS-IR(OR:4.877,95%CI:2.693-8.835)。与其他IR衍生指数(TyG和TG/HDL-c)并列,TyG-BMI表现出最重要的AUC(AUC:0.657;95%CI:0.606-0.708)。同时,METS-IR对LVH表现出良好的预测功效(AUC:0.646;95%CI:0.595-0.697)。
结论:TyG-BMI和METS-IR对LVH显示出较好的辨别能力,强调它们在临床环境和前瞻性流行病学研究中作为衡量LVH危险的补充指标的潜力。