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基于病理生理学的 2 型糖尿病表型分析:一种临床分类工具。

Pathophysiology-based phenotyping in type 2 diabetes: A clinical classification tool.

机构信息

Diabetes Research Centre, Department of Endocrinology, Centre for Individualized Medicine in Arterial Diseases, Odense University Hospital, Odense, Denmark.

Department of Internal Medicine, Holbaek Hospital, and Centre for Individualized Medicine in Arterial Diseases (CIMA), Odense University Hospital, University of Southern Denmark, Denmark.

出版信息

Diabetes Metab Res Rev. 2018 Jul;34(5):e3005. doi: 10.1002/dmrr.3005. Epub 2018 Apr 26.

Abstract

BACKGROUND

Type 2 diabetes may be a more heterogeneous disease than previously thought. Better understanding of pathophysiological subphenotypes could lead to more individualized diabetes treatment. We examined the characteristics of different phenotypes among 5813 Danish patients with new clinically diagnosed type 2 diabetes.

METHODS

We first identified all patients with rare subtypes of diabetes, latent autoimmune diabetes of adults (LADA), secondary diabetes, or glucocorticoid-associated diabetes. We then used the homeostatic assessment model to subphenotype all remaining patients into insulinopenic (high insulin sensitivity and low beta cell function), classical (low insulin sensitivity and low beta cell function), or hyperinsulinemic (low insulin sensitivity and high beta cell function) type 2 diabetes.

RESULTS

Among 5813 patients diagnosed with incident type 2 diabetes in the community clinical setting, 0.4% had rare subtypes of diabetes, 2.8% had LADA, 0.7% had secondary diabetes, 2.4% had glucocorticoid-associated diabetes, and 93.7% had WHO-defined type 2 diabetes. In the latter group, 9.7% had insulinopenic, 63.1% had classical, and 27.2% had hyperinsulinemic type 2 diabetes. Classical patients were obese (median waist 105 cm), and 20.5% had cardiovascular disease (CVD) at diagnosis, while insulinopenic patients were fairly lean (waist 92 cm) and 17.5% had CVD (P = 0.14 vs classical diabetes). Hyperinsulinemic patients were severely obese (waist 112 cm), and 25.5% had CVD (P < 0.0001 vs classical diabetes).

CONCLUSIONS

Patients clinically diagnosed with type 2 diabetes are a heterogeneous group. In the future, targeted treatment based on pathophysiological characteristics rather than the current "one size fits all" approach may improve patient prognosis.

摘要

背景

2 型糖尿病可能比以前认为的更为异质性。更好地了解病理生理亚表型可能会导致更个体化的糖尿病治疗。我们检查了 5813 名丹麦新诊断为 2 型糖尿病的患者中不同表型的特征。

方法

我们首先确定了所有罕见类型糖尿病(成人隐匿性自身免疫糖尿病、继发性糖尿病或糖皮质激素相关糖尿病)、LADA、继发性糖尿病或糖皮质激素相关糖尿病患者。然后,我们使用稳态评估模型将所有其余患者分为胰岛素缺乏型(高胰岛素敏感性和低β细胞功能)、经典型(低胰岛素敏感性和低β细胞功能)或高胰岛素血症型(低胰岛素敏感性和高β细胞功能)2 型糖尿病。

结果

在社区临床环境中诊断为新发 2 型糖尿病的 5813 例患者中,有 0.4%患有罕见类型糖尿病,2.8%患有 LADA,0.7%患有继发性糖尿病,2.4%患有糖皮质激素相关糖尿病,93.7%患有 WHO 定义的 2 型糖尿病。在后一组中,9.7%为胰岛素缺乏型,63.1%为经典型,27.2%为高胰岛素血症型。经典型患者肥胖(腰围中位数为 105cm),20.5%在诊断时患有心血管疾病(CVD),而胰岛素缺乏型患者相对消瘦(腰围为 92cm),17.5%患有 CVD(P=0.14 与经典型糖尿病)。高胰岛素血症型患者严重肥胖(腰围 112cm),25.5%患有 CVD(P<0.0001 与经典型糖尿病)。

结论

临床上诊断为 2 型糖尿病的患者是一个异质性群体。未来,基于病理生理特征而不是目前“一刀切”的方法进行靶向治疗可能会改善患者预后。

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