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通过交叉轮换至四种不同药物类别优化糖尿病患者的蛋白尿降低治疗:一项随机交叉试验。

Optimization of Albuminuria-Lowering Treatment in Diabetes by Crossover Rotation to Four Different Drug Classes: A Randomized Crossover Trial.

机构信息

1Steno Diabetes Center Copenhagen, Herlev, Denmark.

2Department of Clinical Pharmacy and Pharmacology, University of Groningen, Groningen, the Netherlands.

出版信息

Diabetes Care. 2023 Mar 1;46(3):593-601. doi: 10.2337/dc22-1699.

DOI:10.2337/dc22-1699
PMID:36657986
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10020026/
Abstract

OBJECTIVE

Renin-angiotensin system (RAS) inhibitors decrease the urinary albumin to creatinine ratio (UACR) but are ineffective in up to 40% of patients. We hypothesized that rotation through different drug classes overcomes RAS inhibitor resistance and tested this in a randomized crossover trial.

RESEARCH DESIGN AND METHODS

We assigned 26 adults with type 1 diabetes and 37 with type 2 diabetes and UACR between 30 and 500 mg/g and estimated glomerular filtration rate >45 mL/min/1.73 m2 to 4-week treatment periods with telmisartan 80 mg, empagliflozin 10 mg, linagliptin 5 mg, and baricitinib 2 mg in random order, separated by 4-week washout periods. Each participant was then re-exposed for 4 weeks to the drug that induced that individual's largest UACR reduction. Primary outcome was the difference in UACR response to the best-performing drug during the confirmation period versus UACR response to the other three drugs.

RESULTS

There was substantial variation in the best-performing drug. Telmisartan was best performing for 33 participants (52%), empagliflozin and linagliptin in 11 (17%), and baricitinib in 8 participants (13%). The individuals' best-performing drug changed UACR from baseline during the first and confirmatory exposures by a mean of -39.6% (95% CI -44.8, -33.8; P < 0.001) and -22.4% (95% CI -29.7, -12.5; P < 0.001), respectively. The Pearson correlation for first versus confirmatory exposure was 0.39 (P = 0.017). The mean change in UACR with the other three drugs was +1.6% (95% CI -4.3%, 8.0%; P = 0.593 versus baseline; difference versus individuals' best-performing drug at confirmation, 30.9% [95% CI 18.0, 45.3]; P < 0.001).

CONCLUSIONS

We demonstrated a large and reproducible variation in participants' responses to different UACR-lowering drug classes. These data support systematic rotation through different drug classes to overcome therapy resistance to RAS inhibition.

摘要

目的

肾素-血管紧张素系统(RAS)抑制剂可降低尿白蛋白与肌酐比值(UACR),但在多达 40%的患者中无效。我们假设通过不同药物类别轮换可以克服 RAS 抑制剂的耐药性,并在一项随机交叉试验中对此进行了测试。

研究设计和方法

我们将 26 名 1 型糖尿病患者和 37 名 2 型糖尿病患者以及 UACR 在 30 至 500 mg/g 之间且估计肾小球滤过率 >45 mL/min/1.73 m2 的患者分配至为期 4 周的治疗期,分别接受替米沙坦 80 mg、恩格列净 10 mg、利格列汀 5 mg 和巴利替尼 2 mg 治疗,随机顺序排列,并用 4 周洗脱期隔开。然后,每位参与者再接受为期 4 周的治疗,药物为在确认期内诱导 UACR 降低最多的药物。主要结局是在确认期内最佳表现药物的 UACR 反应与其他三种药物的 UACR 反应之间的差异。

结果

最佳表现药物的变化幅度很大。替米沙坦对 33 名参与者(52%)、恩格列净和利格列汀对 11 名参与者(17%)、巴利替尼对 8 名参与者(13%)的表现最佳。个体的最佳表现药物在第一次和确认暴露期间使 UACR 从基线降低了 -39.6%(95%CI -44.8,-33.8;P < 0.001)和 -22.4%(95%CI -29.7,-12.5;P < 0.001),分别。第一次与确认暴露的 Pearson 相关性为 0.39(P = 0.017)。其他三种药物的 UACR 平均变化为 +1.6%(95%CI -4.3%,8.0%;P = 0.593 与基线相比;与个体最佳表现药物在确认时的差异为 30.9%[95%CI 18.0,45.3];P < 0.001)。

结论

我们证明了参与者对不同 UACR 降低药物类别的反应存在很大且可重复的差异。这些数据支持系统地轮换使用不同的药物类别以克服对 RAS 抑制的治疗耐药性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a65/10020026/17731113aaee/dc221699f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a65/10020026/1fcbfa9211ff/dc221699F0GA.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a65/10020026/17731113aaee/dc221699f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a65/10020026/1fcbfa9211ff/dc221699F0GA.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a65/10020026/d0efa2994999/dc221699f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a65/10020026/d525d442ddba/dc221699f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a65/10020026/bafbac41f64f/dc221699f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a65/10020026/17731113aaee/dc221699f4.jpg

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