Duke-NUS Medical School, Singapore.
Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore.
Diabetes Care. 2020 May;43(5):1048-1056. doi: 10.2337/dc19-2519. Epub 2020 Mar 18.
With rising health care costs and finite health care resources, understanding the population needs of different type 2 diabetes mellitus (T2DM) patient subgroups is important. Sparse data exist for the application of population segmentation on health care needs among Asian T2DM patients. We aimed to segment T2DM patients into distinct classes and evaluate their differential health care use, diabetes-related complications, and mortality patterns.
Latent class analysis was conducted on a retrospective cohort of 71,125 T2DM patients. Latent class indicators included patient's age, ethnicity, comorbidities, and duration of T2DM. Outcomes evaluated included health care use, diabetes-related complications, and 4-year all-cause mortality. The relationship between class membership and outcomes was evaluated with the appropriate regression models.
Five classes of T2DM patients were identified. The prevalence of depression was high among patients in class 3 (younger females with short-to-moderate T2DM duration and high psychiatric and neurological disease burden) and class 5 (older patients with moderate-to-long T2DM duration and high disease burden with end-organ complications). They were the highest tertiary health care users. Class 5 patients had the highest risk of myocardial infarction (hazard ratio [HR] 12.05, 95% CI 10.82-13.42]), end-stage renal disease requiring dialysis initiation (HR 25.81, 95% CI 21.75-30.63), stroke (HR 19.37, 95% CI 16.92-22.17), lower-extremity amputation (HR 12.94, 95% CI 10.90-15.36), and mortality (HR 3.47, 95% CI 3.17-3.80).
T2DM patients can be segmented into classes with differential health care use and outcomes. Depression screening should be considered for the two identified classes of patients.
随着医疗保健费用的不断上涨和医疗保健资源的有限性,了解不同类型 2 型糖尿病(T2DM)患者亚组的人群需求非常重要。在亚洲 T2DM 患者中,关于人群细分对医疗保健需求的应用,数据非常有限。我们旨在将 T2DM 患者分为不同的类别,并评估他们不同的医疗保健使用情况、糖尿病相关并发症和死亡率模式。
对 71125 名 T2DM 患者的回顾性队列进行潜在类别分析。潜在类别指标包括患者的年龄、种族、合并症和 T2DM 病程。评估的结果包括医疗保健使用、糖尿病相关并发症和 4 年全因死亡率。使用适当的回归模型评估类别成员与结果之间的关系。
确定了 5 类 T2DM 患者。在第 3 类(年轻女性,T2DM 病程较短,有较高的精神和神经系统疾病负担)和第 5 类(年龄较大的患者,T2DM 病程较长,有较高的疾病负担和终末器官并发症)患者中,抑郁的患病率较高。他们是最高级别的三级卫生保健使用者。第 5 类患者发生心肌梗死的风险最高(危险比 [HR] 12.05,95%置信区间 [CI] 10.82-13.42),需要开始透析的终末期肾病(HR 25.81,95% CI 21.75-30.63),中风(HR 19.37,95% CI 16.92-22.17),下肢截肢(HR 12.94,95% CI 10.90-15.36)和死亡率(HR 3.47,95% CI 3.17-3.80)。
可以将 T2DM 患者分为具有不同医疗保健使用和结果的类别。应考虑对这两个确定的患者类别进行抑郁筛查。