Habib S S, Al-Khlaiwi T, Habib S M, Al-Khliwi H, AbaAlkhail M B, Albuhayjan N A, Aljawini N
Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Eur Rev Med Pharmacol Sci. 2023 Mar;27(6):2477-2484. doi: 10.26355/eurrev_202303_31781.
The predictive value of body simplified indices needs to be evaluated properly for cardiovascular risk. This study aimed to assess and compare the relative relationship of arm circumference (AC), arm muscle circumference (AMC), body mass index (BMI), and waist-hip ratio (WHR) with Ultra-Sensitive C-Reactive Protein (US-CRP) in healthy male subjects and with type 2 diabetes mellitus (T2DM).
We performed the study at the department of Physiology, College of Medicine & King Khalid University Hospital, King Saud University, Riyadh, Saudi Arabia. It was a cross-sectional study with 93 healthy male subjects and 112 type 2 diabetic male patients who underwent body composition analysis by BIA and fasting venous blood samples were collected. US-CRP and body composition were determined for all subjects.
US-CRP is correlated positively with AC (0.378) and BMI (0.394) more than AMC (0.282) and WHR (0.253) which have lower correlation both in control and DM group. BCM has the lowest correlation with US-CRP (0.105). The association between US-CRP and AC, AMC, Body Fat Percent (BFP), and body fat mass (BFM) are statistically significant except for BFP in DM group. In control group, AC is noticed to be a better predictor for US-CRP, with area under curve (AUC) 64.2% (p=0.019), WHR with AUC 72.6% (p<0.001), and BMI with AUC 65.4% (p=0.011) but AMC is not a good predictor in control group with AUC 57.5% (p=0.213). In DM group, AC is noticed to be a better predictor for US-CRP, with AUC 71.5% (p<0.001), WHR with AUC 67.4% (p=0.004), BMI with AUC 70.9% (p=0.001), and AMC with AUC 65.2% (p=0.011).
Simplified muscle mass body indices like AC and AMC have significant predictive value for assessing cardiovascular risk in both healthy population and patients with T2DM. Therefore, AC could be used as a future predictor for cardiovascular disease in healthy and DM patients. Further investigations are needed to confirm its applicability.
需对身体简化指标在心血管风险方面的预测价值进行恰当评估。本研究旨在评估并比较健康男性受试者以及2型糖尿病（T2DM）患者中，臂围（AC）、臂肌围（AMC）、体重指数（BMI）和腰臀比（WHR）与超敏C反应蛋白（US-CRP）之间的相对关系。
我们在沙特阿拉伯利雅得国王沙特大学医学院生理系及国王哈立德大学医院开展了本研究。这是一项横断面研究，纳入了93名健康男性受试者和112名2型糖尿病男性患者，对其进行了生物电阻抗分析（BIA）以测定身体成分，并采集了空腹静脉血样。测定了所有受试者的US-CRP和身体成分。
US-CRP与AC（0.378）和BMI（0.394）的相关性高于与AMC（0.282）和WHR（0.253）的相关性，在对照组和糖尿病组中，AMC和WHR的相关性均较低。身体细胞质量（BCM）与US-CRP的相关性最低（0.105）。除糖尿病组的体脂百分比（BFP）外，US-CRP与AC、AMC、体脂百分比（BFP）和体脂质量（BFM）之间的关联具有统计学意义。在对照组中，AC被认为是US-CRP的较好预测指标，曲线下面积（AUC）为64.2%（p = 0.019），WHR的AUC为72.6%（p < 0.001），BMI的AUC为65.4%（p = 0.011），但AMC在对照组中不是一个好的预测指标，AUC为57.5%（p = 0.213）。在糖尿病组中，AC被认为是US-CRP的较好预测指标，AUC为71.5%（p < 0.001），WHR的AUC为67.4%（p = 0.004），BMI的AUC为70.9%（p = 0.001），AMC的AUC为65.2%（p = 0.011）。
像AC和AMC这样的简化肌肉量身体指标在评估健康人群和T2DM患者的心血管风险方面具有显著的预测价值。因此，AC可作为健康人群和糖尿病患者未来心血管疾病的预测指标。需要进一步研究以证实其适用性。
