成人潜伏性自身免疫性糖尿病(LADA)的特点和患病率。

ISRN Pharmacology Pub Date : 2012-01-01 Epub Date: 2012-04-08 DOI:10.5402/2012/580202
Priyanka P Brahmkshatriya, Anita A Mehta, Banshi D Saboo, Ramesh K Goyal
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引用次数: 42

摘要

糖尿病是最常见的代谢性疾病之一,正在影响许多发展中国家和大多数发达国家的一个主要人口领域,并正在成为一个令人担忧的保健系统成本上升问题。成人潜伏性自身免疫性糖尿病(LADA)是一种较少被认识和诊断不足的糖尿病类型,它似乎具有1型(自身免疫性)和2型糖尿病(发病年龄和口服降糖药的初始反应)的特征。对印度西部地区的500名患者进行了流行病学研究。评估各种参数,如发病年龄、糖尿病病程、性别、基础代谢指数(BMI)、糖尿病类型、家族史、HbA1c水平、胆固醇水平和当前治疗方案,并将其与1型和2型糖尿病相关。此外,我们还对80例从流行病学研究中选出的患者进行了LADA的诊断标记,即GAD自身抗体和c肽水平的测定。得到的一些结果被发现与文献一致,而一些结果被发现与现有数据相矛盾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Characteristics and Prevalence of Latent Autoimmune Diabetes in Adults (LADA).

Characteristics and Prevalence of Latent Autoimmune Diabetes in Adults (LADA).

Characteristics and Prevalence of Latent Autoimmune Diabetes in Adults (LADA).

Characteristics and Prevalence of Latent Autoimmune Diabetes in Adults (LADA).

Diabetes, one of the most commonly seen metabolic disorders, is affecting a major area of population in many developing as well as most of the developed countries and is becoming an alarming concern for the rising cost of the healthcare system. Latent Autoimmune Diabetes in Adults (LADA) is a form of diabetes which is less recognized and underdiagnosed type of diabetes which appears to have characteristics of both type 1 (autoimmune in nature) and type 2 diabetes (adult age at onset and initial response to oral hypoglycemic agents). An epidemiological study was carried out on 500 patients in the western region of India. Various parameters such as age at onset, duration of diabetes, gender, basal metabolic index (BMI), type of diabetes, family history, HbA1c levels, cholesterol levels, and current treatment regimen were evaluated and correlated with type 1 and type 2 diabetes. Moreover, diagnostic markers for LADA, namely, GAD autoantibodies and C-peptide levels, were determined for 80 patients selected from the epidemiological study. Some of the results obtained were found to be consistent with the literature whereas some results were found to be contradictory to the existing data.

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