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真实世界中糖尿病肾病的诊断与治疗。

Real-World Diagnosis and Treatment of Diabetic Kidney Disease.

机构信息

Division of Cardiovascular Medicine, Stanford University Medical Center, Stanford University School of Medicine, 300 Pasteur Drive, H2157, Stanford, CA, 94305-5233, USA.

HealthPals, Inc., Millbrae, CA, USA.

出版信息

Adv Ther. 2021 Aug;38(8):4425-4441. doi: 10.1007/s12325-021-01777-9. Epub 2021 Jul 13.

Abstract

INTRODUCTION

People with type 2 diabetes mellitus (T2DM) and diabetic kidney disease (DKD) have increased morbidity and mortality risk. Angiotensin-converting enzyme inhibitors (ACEi) or angiotensin II receptor blockers (ARB) are recommended to slow kidney function decline in DKD. This representative, real-world data analysis of patients with T2DM was performed to detect onset of DKD and determine methods and timing of DKD diagnosis and time to initiation of ACEi/ARB therapy.

METHODS

Patients diagnosed with T2DM before January 1, 2016 who developed DKD between January 1, 2017 and June 30, 2019 were identified from a longitudinal ambulatory electronic health record (EHR) dataset (Veradigm Inc). Each record was analyzed using the CLinical INTelligence engine (CLINT™, HealthPals, Inc.) to identify delays and gaps in diagnosing DKD. DKD was diagnosed through two reduced estimated glomerular filtration rate (eGFR; < 60 mL/min/1.73 m) measurements at least 90 days apart, a single elevated urine albumin-to-creatinine ratio (UACR; > 30 mg/g) measurement, or ICD-9/10 diagnosis codes for DKD and/or albuminuria. Time to diagnose (TTD), time to treat (TTT), and diagnosis to treatment time were assessed.

RESULTS

Of 6,499,409 patients with T2DM before January 2016, 245,978 developed DKD between January 1, 2017 and June 30, 2019. In this DKD cohort, ca. 50% were first identified through EHR diagnosis and ca. 50% by UACR or eGFR lab-based diagnosis. In patients who had UACR/eGFR assessed, more than 90% exhibited DKD-level results on the first diagnostic test. Average TTD after eGFR labs was 2 years; average TTT with ACEi/ARB was 6-9 months after DKD lab evidence. The majority of patients who developed DKD received ACEi/ARB therapy 6-7 months after diagnosis.

CONCLUSION

In a contemporary, large national cohort of patients with T2DM, progression to DKD was common but likely underrepresented. The low rate of DKD-screening labs, along with sizable delays in diagnosis of DKD and initiation of ACEi/ARB therapy, indicates that many patients who progress to DKD are not being properly treated.

摘要

简介

患有 2 型糖尿病(T2DM)和糖尿病肾病(DKD)的患者发病率和死亡率较高。血管紧张素转换酶抑制剂(ACEi)或血管紧张素 II 受体阻滞剂(ARB)被推荐用于减缓 DKD 患者的肾功能下降。本研究通过对患有 T2DM 的患者进行代表性的真实世界数据分析,以检测 DKD 的发病情况,并确定 DKD 的诊断方法和时间以及开始 ACEi/ARB 治疗的时间。

方法

从纵向门诊电子健康记录(EHR)数据集(Veradigm Inc.)中确定 2016 年 1 月 1 日前诊断为 T2DM 的患者,这些患者在 2017 年 1 月 1 日至 2019 年 6 月 30 日期间发展为 DKD。使用 CLinical INTelligence 引擎(CLINT™,HealthPals,Inc.)对每个记录进行分析,以确定 DKD 诊断中的延迟和差距。通过至少相隔 90 天的两次降低估计肾小球滤过率(eGFR;<60 mL/min/1.73 m)测量、单次升高的尿白蛋白与肌酐比值(UACR;>30 mg/g)测量或 DKD 和/或蛋白尿的 ICD-9/10 诊断代码来诊断 DKD。评估诊断时间(TTD)、治疗时间(TTT)和诊断至治疗时间。

结果

在 2016 年 1 月之前的 6499409 名 T2DM 患者中,有 245978 名患者在 2017 年 1 月 1 日至 2019 年 6 月 30 日期间发展为 DKD。在这个 DKD 队列中,约 50%是通过 EHR 诊断确定的,约 50%是通过 UACR 或 eGFR 实验室诊断确定的。在接受 UACR/eGFR 评估的患者中,超过 90%的患者在第一次诊断性检测中表现出 DKD 水平的结果。eGFR 实验室检测后的平均 TTD 为 2 年;有 DKD 实验室证据后,平均 TTT 为 ACEi/ARB 治疗 6-9 个月。大多数发展为 DKD 的患者在诊断后 6-7 个月接受 ACEi/ARB 治疗。

结论

在一个具有代表性的、大型的 2 型糖尿病国家队列中,进展为 DKD 很常见,但可能被低估了。用于 DKD 筛查的实验室数量较少,加上 DKD 诊断和 ACEi/ARB 治疗开始的延迟,表明许多进展为 DKD 的患者没有得到适当的治疗。

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