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肥胖、临床和遗传预测因素与中国 2 型糖尿病患者血糖进展的关系:一项基于香港糖尿病注册和香港糖尿病生物库的队列研究。

Obesity, clinical, and genetic predictors for glycemic progression in Chinese patients with type 2 diabetes: A cohort study using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank.

机构信息

Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.

Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China.

出版信息

PLoS Med. 2020 Jul 28;17(7):e1003209. doi: 10.1371/journal.pmed.1003209. eCollection 2020 Jul.

Abstract

BACKGROUND

Type 2 diabetes (T2D) is a progressive disease whereby there is often deterioration in glucose control despite escalation in treatment. There is significant heterogeneity to this progression of glycemia after onset of diabetes, yet the factors that influence glycemic progression are not well understood. Given the tremendous burden of diabetes in the Chinese population, and limited knowledge on factors that influence glycemia, we aim to identify the clinical and genetic predictors for glycemic progression in Chinese patients with T2D.

METHODS AND FINDINGS

In 1995-2007, 7,091 insulin-naïve Chinese patients (mean age 56.8 ± 13.3 [SD] years; mean age of T2D onset 51.1 ± 12.7 years; 47% men; 28.4% current or ex-smokers; median duration of diabetes 4 [IQR: 1-9] years; mean HbA1c 7.4% ± 1.7%; mean body mass index [BMI] 25.3 ± 4.0 kg/m2) were followed prospectively in the Hong Kong Diabetes Register. We examined associations of BMI and other clinical and genetic factors with glycemic progression defined as requirement of continuous insulin treatment, or 2 consecutive HbA1c ≥8.5% while on ≥2 oral glucose-lowering drugs (OGLDs), with validation in another multicenter cohort of Hong Kong Diabetes Biobank. During a median follow-up period of 8.8 (IQR: 4.8-13.3) years, incidence of glycemic progression was 48.0 (95% confidence interval [CI] 46.3-49.8) per 1,000 person-years with 2,519 patients started on insulin. Among the latter, 33.2% had a lag period of 1.3 years before insulin was initiated. Risk of progression was associated with extremes of BMI and high HbA1c. On multivariate Cox analysis, early age at diagnosis, microvascular complications, high triglyceride levels, and tobacco use were additional independent predictors for glycemic progression. A polygenic risk score (PRS) including 123 known risk variants for T2D also predicted rapid progression to insulin therapy (hazard ratio [HR]: 1.07 [95% CI 1.03-1.12] per SD; P = 0.001), with validation in the replication cohort (HR: 1.24 [95% CI 1.06-1.46] per SD; P = 0.008). A PRS using 63 BMI-related variants predicted BMI (beta [SE] = 0.312 [0.057] per SD; P = 5.84 × 10-8) but not glycemic progression (HR: 1.01 [95% CI 0.96-1.05] per SD; P = 0.747). Limitations of this study include potential misdiagnosis of T2D and lack of detailed data of drug use during follow-up in the replication cohort.

CONCLUSIONS

Our results show that approximately 5% of patients with T2D failed OGLDs annually in this clinic-based cohort. The independent associations of modifiable and genetic risk factors allow more precise identification of high-risk patients for early intensive control of multiple risk factors to prevent glycemic progression.

摘要

背景

2 型糖尿病(T2D)是一种进行性疾病,尽管治疗升级,葡萄糖控制仍常常恶化。糖尿病发病后,血糖的这种进展存在显著的异质性,但影响血糖进展的因素尚不清楚。鉴于中国人群中糖尿病的巨大负担,以及对影响血糖因素的了解有限,我们旨在确定中国 T2D 患者血糖进展的临床和遗传预测因素。

方法和发现

1995-2007 年,我们前瞻性地随访了香港糖尿病登记处的 7091 名胰岛素初治的中国患者(平均年龄 56.8 ± 13.3 [SD] 岁;T2D 发病平均年龄 51.1 ± 12.7 岁;47%为男性;28.4%为当前或既往吸烟者;糖尿病病程中位数为 4 [IQR:1-9] 年;平均 HbA1c 7.4% ± 1.7%;平均体重指数 [BMI] 25.3 ± 4.0 kg/m2)。我们检查了 BMI 及其他临床和遗传因素与血糖进展的关联,血糖进展定义为需要连续胰岛素治疗,或在≥2 种口服降糖药(OGLD)治疗时连续 2 次 HbA1c≥8.5%,并在香港糖尿病生物库的另一个多中心队列中进行了验证。在中位随访 8.8(IQR:4.8-13.3)年期间,血糖进展的发生率为每 1000 人年 48.0(95%置信区间 [CI] 46.3-49.8),2519 名患者开始使用胰岛素。在后者中,33.2%在开始使用胰岛素前有 1.3 年的潜伏期。进展风险与 BMI 的极值和高 HbA1c 相关。多变量 Cox 分析显示,诊断时年龄较小、微血管并发症、高甘油三酯水平和吸烟是血糖进展的其他独立预测因素。包括 123 个已知 T2D 风险变异的多基因风险评分(PRS)也预测了胰岛素治疗的快速进展(风险比 [HR]:每 SD 增加 1.07 [95%CI 1.03-1.12];P = 0.001),并在复制队列中得到验证(HR:每 SD 增加 1.24 [95%CI 1.06-1.46];P = 0.008)。使用 63 个与 BMI 相关的变异的 PRS 预测 BMI(β[SE] = 0.312 [0.057] 每 SD;P = 5.84×10-8),但不预测血糖进展(HR:每 SD 增加 1.01 [95%CI 0.96-1.05];P = 0.747)。本研究的局限性包括 T2D 的潜在误诊和复制队列中随访期间药物使用的详细数据缺失。

结论

我们的研究结果表明,在这个以诊所为基础的队列中,每年约有 5%的 T2D 患者会失败使用 OGLD。可改变的和遗传风险因素的独立关联允许更精确地识别高风险患者,以便对多种风险因素进行早期强化控制,从而预防血糖进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce3e/7386560/8010f3fba395/pmed.1003209.g001.jpg

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