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真实世界 2 型糖尿病患者血糖恶化的发生率。

Rates of glycaemic deterioration in a real-world population with type 2 diabetes.

机构信息

Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK, Scotland.

Department of Mathematical Sciences, University of Bath, Bath, UK.

出版信息

Diabetologia. 2018 Mar;61(3):607-615. doi: 10.1007/s00125-017-4519-5. Epub 2017 Dec 19.

Abstract

AIMS/HYPOTHESIS: There is considerable variability in how diabetes progresses after diagnosis. Progression modelling has largely focused on 'time to failure' methods, yet determining a 'coefficient of failure' has many advantages. We derived a rate of glycaemic deterioration in type 2 diabetes, using a large real-world cohort, and aimed to investigate the clinical, biochemical, pharmacological and immunological variables associated with fast and slow rates of glycaemic deterioration.

METHODS

An observational cohort study was performed using the electronic medical records from participants in the Genetics of Diabetes Audit and Research in Tayside Study (GoDARTS). A model was derived based on an individual's observed HbA measures from the first eligible HbA after the diagnosis of diabetes through to the study end (defined as insulin initiation, death, leaving the area or end of follow-up). Each HbA measure was time-dependently adjusted for the effects of non-insulin glucose-lowering drugs, changes in BMI and corticosteroid use. GAD antibody (GADA) positivity was defined as GAD titres above the 97.5th centile of the population distribution.

RESULTS

The mean (95% CI) glycaemic deterioration for type 2 diabetes and GADA-positive individuals was 1.4 (1.3, 1.4) and 2.8 (2.4, 3.3) mmol/mol HbA per year, respectively. A younger age of diagnosis, lower HDL-cholesterol concentration, higher BMI and earlier calendar year of diabetes diagnosis were independently associated with higher rates of glycaemic deterioration in individuals with type 2 diabetes. The rate of deterioration in those diagnosed at over 70 years of age was very low, with 66% having a rate of deterioration of less than 1.1 mmol/mol HbA per year, and only 1.5% progressing more rapidly than 4.4 mmol/mol HbA per year.

CONCLUSIONS/INTERPRETATION: We have developed a novel approach for modelling the progression of diabetes in observational data across multiple drug combinations. This approach highlights how glycaemic deterioration in those diagnosed at over 70 years of age is minimal, supporting a stratified approach to diabetes management.

摘要

目的/假设:糖尿病确诊后其病情进展存在较大差异。疾病进展建模主要集中在“失效时间”方法上,但确定“失效系数”具有许多优势。我们使用大型真实世界队列得出了 2 型糖尿病患者的血糖恶化率,并旨在研究与血糖恶化快、慢相关的临床、生化、药理学和免疫学变量。

方法

本研究采用泰赛德遗传糖尿病审计和研究(GoDARTS)参与者的电子病历进行了一项观察性队列研究。根据患者确诊糖尿病后的首次可评估糖化血红蛋白(HbA)值,至研究结束(定义为胰岛素起始、死亡、离开研究地区或随访结束),构建一个模型,该模型基于个体观察到的 HbA 值。对每个 HbA 值进行时间依赖性调整,以调整非胰岛素类降糖药物、BMI 变化和皮质类固醇使用的影响。GADA 阳性定义为 GAD 滴度高于人群分布的第 97.5 百分位数。

结果

2 型糖尿病和 GADA 阳性个体的平均(95%CI)血糖恶化值分别为 1.4(1.3,1.4)和 2.8(2.4,3.3)mmol/mol HbA/年。在 2 型糖尿病患者中,诊断年龄较小、高密度脂蛋白胆固醇浓度较低、BMI 较高以及糖尿病诊断较早的年份与血糖恶化率较高相关。在年龄超过 70 岁的患者中,病情恶化速度非常缓慢,其中 66%的患者每年血糖恶化率低于 1.1mmol/mol HbA,只有 1.5%的患者每年血糖恶化率超过 4.4mmol/mol HbA。

结论/解释:我们开发了一种新的方法,用于在多种药物联合治疗的观察数据中对糖尿病进展进行建模。该方法突出了 70 岁以上患者的血糖恶化程度很小,支持对糖尿病管理进行分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b71/6448965/efa735c9fd62/125_2017_4519_Fig1_HTML.jpg

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