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通过人体测量和生化指标变化对2型糖尿病(T2DM)进行临床预测

Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in .

作者信息

Singh Shriti, Agrawal Neeraj Kumar, Singh Girish, Gehlot Sangeeta, Singh Santosh Kumar, Singh Rajesh

机构信息

Department of Kriya Sharir, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, India.

Department of Endocrinology and Metabolism, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, India.

出版信息

Diseases. 2022 Mar 3;10(1):15. doi: 10.3390/diseases10010015.

DOI:10.3390/diseases10010015
PMID:35323182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8947277/
Abstract

Type 2 Diabetes Mellitus (T2DM) is a complicated multifactorial illness involving hereditary and external environmental variables. The symptoms typically appear gradually over a number of years without realizing it. This viewpoint is further supported by the Ayurvedic constitution concept (). explains the biological variability that is observed in different individuals. This study was conducted a retrospective investigation to examine if there was a link between type 2 diabetes and an individual's constitution based on anthropometric and biochemical characteristics. Physical and mental characteristics and anthropometric and biochemical markers were used to determine reported cases' prevailing (constitution). Based on biochemical and anthropometric data, significant differences in were found between the case (T2DM patients) and control (person without diabetes) groups. The incidence of numerous secondary problems linked with T2DM patients was also evaluated according to their types, which revealed a positive relationship. The three primary contributing parameters, such as waist-hip ratio, postprandial blood sugar, and serum creatinine, were correctly classified all person with or without diabetes subjects to 90.6% of the time, whereas the constitution-wise study classified person with diabetes and without diabetes individuals of and to 94.3% and 90%, respectively. A discriminant function was created to predict a person with diabetes and without diabetes based on these three contributing factors. The primary contributing biochemical parameters discovered by in the current study could be used as a biochemical disease diagnostic for predicting type 2 diabetes susceptibility.

摘要

2型糖尿病(T2DM)是一种复杂的多因素疾病,涉及遗传和外部环境变量。症状通常在数年内逐渐出现,而患者并未意识到。阿育吠陀体质概念进一步支持了这一观点。它解释了在不同个体中观察到的生物学差异。本研究进行了一项回顾性调查,以检验基于人体测量和生化特征的2型糖尿病与个体体质之间是否存在联系。使用身体和心理特征以及人体测量和生化指标来确定报告病例的主要体质。根据生化和人体测量数据,发现病例组(T2DM患者)和对照组(无糖尿病者)之间存在显著差异。还根据T2DM患者的体质类型评估了与他们相关的多种继发问题的发生率,结果显示存在正相关关系。三个主要的影响参数,如腰臀比、餐后血糖和血清肌酐,能正确分类所有有或无糖尿病受试者,准确率达90.6%,而基于体质的研究对糖尿病患者和非糖尿病个体的分类准确率分别为94.3%和90%。基于这三个影响因素创建了一个判别函数,用于预测有糖尿病和无糖尿病的人。本研究中发现的主要影响生化参数可作为预测2型糖尿病易感性的生化疾病诊断指标。

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Prevalence and risk factors of development of peripheral diabetic neuropathy in type 2 diabetes mellitus in a tertiary care setting.在三级医疗机构中,2 型糖尿病患者外周糖尿病性神经病变的发生及相关危险因素。
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