Clinical characteristics and diagnostic models of latent autoimmune diabetes in adults with newly diagnosed type 2 diabetes mellitus
10.3760/cma.j.cn431274-20210726-00805
- VernacularTitle:初诊2型糖尿病患者中成人隐匿性自身免疫糖尿病临床特征分析及诊断模型探索
- Author:
Changqing LUO
1
;
Gan HUANG
;
Kang LEI
;
Shan LIU
;
Zhiguang ZHOU
Author Information
1. 中南大学湘雅二医院代谢内分泌科，国家代谢性疾病临床医学研究中心，长沙 410011
- Keywords:
Latent autoimmune diabetes in adults;
Islet autoantibody;
Clinical features;
Diagnostic model
- From:
Journal of Chinese Physician
2021;23(10):1496-1500
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the clinical features of latent autoimmune diabetes (LADA) in adults among newly diagnosed type 2 diabetes mellitus (T2DM), and to explore whether LADA diagnostic models can be established based on this.Methods:From May 2016 to January 2017, 302 patients with newly diagnosed T2DM in the outpatient and inpatient department of metabolism and endocrinology of Yueyang Central Hospital were analyzed. All of them were tested for glutamic acid decarboxylase antibody (GADA). According to the consensus of the Chinese Medical Association Diabetes Association (CDS) LADA diagnosis and treatment, they were divided into LADA group (18 cases) and T2DM group (284 cases). The general clinical data and clinical biochemical indexes of the two groups were analyzed; Multiple linear regression method was used to evaluate the feasibility of establishing LADA diagnostic model.Results:⑴ Compared with patients in the T2DM group, the patients in the LADA group had a younger age of onset, and " three more and one less" symptoms were more common ( P<0.05); the weight, body mass index (BMI), waist circumference, waist-to-hip ratio (WHR), triglycerides (TG), fasting C peptide (FCP), postprandial 2 h C peptide (2 h-CP), modified islet function index HOMA-islet (CP-DM), and modified insulin resistance index HOMA-IR (CP) in the LADA group were all lower, while high-density lipoprotein cholesterol (HDL-C) and HbA1c were higher ( P<0.05). ⑵ the linear regression method was used to analyze the multicollinearity of patients in LADA group and T2DM group. The biochemical indexes with statistically significant difference were selected as independent variables through correlation analysis, and the GADA value was used as dependent variable. The statistical results showed that the independent variables could not fully meet the conditions of multicollinearity regression analysis. Conclusions:⑴ Related clinical features and glucose metabolism indicators have differential diagnosis significance for LADA, but this study cannot be used for multiple linear regression analysis, and it is difficult to establish a diagnostic model for LADA. ⑵ LADA diagnosis is a comprehensive diagnosis, which should be combined with the results of islet autoantibody and clinical features.
