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Estimates of beta cell function adjusted by anthropometric markers in patients with T2DM.
Clinical and Experimental Pharmacology and Physiology ( IF 2.9 ) Pub Date : 2020-05-15 , DOI: 10.1111/1440-1681.13337
Mingchen Zhang 1, 2 , Yinxia Su 3 , Li Quan 1 , Sheng Jiang 1 , Hua Yao 2, 4
Affiliation  

We sought to determine whether adjusting the indices used to assess beta cell function by anthropometric markers of obesity improves their clinical value in a diabetic population. We conducted a cross‐sectional survey of 3732 diabetic patients who underwent a 100 g carbohydrate meal test. Insulin secretion was estimated using HOMA‐B of steady state as well as △C 0‐30/△G 0‐30, △AUCc30‐120/△AUCG30‐120 and CPIn for dynamic state. Body weight index, waist circumference, waist‐hip ratio and body surface area were recorded. The final analysis included 2873 T2DM patients. Correlation analyses showed that there was a poor correlation between diabetic duration and CPI30 (r  = −.040, P  < .05), and there were no remarkable changes in the correlation coefficient after CPI30 was divided by BMI, WC, WHR, or body surface area, respectively. The same was found for the correlation between HbA1c and CPI120 with these measures. The main determinants of diabetic duration were age (β  = 0.388, P  < .001), log HOMA‐IR (β  = −0.328, P  < .001), CPI30 (β  = −0.045, P  = .011). There were no remarkable changes in β weights between diabetic duration and CPI30 when it was corrected with anthropometric markers in the multiple stepwise linear regression analyses. The same was found between HbA1c and CPI120. CPI30 and CPI120 are more practical indexes. Correcting the indices used to estimate the beta cell function by anthropometric markers of obesity may not improve their correlations with diabetic duration or HbA1c in a diabetic population.

中文翻译:

T2DM 患者通过人体测量标志物调整的 β 细胞功能估计值。

我们试图确定通过肥胖的人体测量标记调整用于评估 β 细胞功能的指数是否会提高其在糖尿病人群中的临床价值。我们对 3732 名接受 100 克碳水化合物膳食测试的糖尿病患者进行了横断面调查。使用稳态的 HOMA-B 以及动态状态的△ C 0-30 /△ G 0-30、△AUC c30-120 /△AUC G30-120和CPI n估计胰岛素分泌。记录体重指数、腰围、腰臀比和体表面积。最终分析包括 2873 名 T2DM 患者。相关性分析表明,糖尿病病程与 CPI 30之间的相关性较差( r  = -.040, P  < .05),CPI 30分别除以BMI、WC、WHR或体表面积后,相关系数没有显着变化。HbA1c 和 CPI 120之间的相关性与这些测量值之间的相关性也是如此。糖尿病病程的主要决定因素是年龄 ( β  = 0.388, P  < .001)、log HOMA-IR ( β  = -0.328, P  < .001)、CPI 30 ( β  = -0.045, P  = .011)。糖尿病病程和 CPI 30之间的 β 权重没有显着变化当它在多元逐步线性回归分析中用人体测量标记进行校正时。在 HbA 1c和 CPI 120之间也发现了同样的情况。CPI 30和 CPI 120是比较实用的指标。通过肥胖的人体测量标记校正用于估计 β 细胞功能的指数可能不会改善它们与糖尿病病程或糖尿病人群中HbA 1c的相关性。
更新日期:2020-05-15
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