Suppr超能文献

改进临床试验入组标准以识别有终末期肾病风险的糖尿病患者。

Improved clinical trial enrollment criterion to identify patients with diabetes at risk of end-stage renal disease.

作者信息

Yamanouchi Masayuki, Skupien Jan, Niewczas Monika A, Smiles Adam M, Doria Alessandro, Stanton Robert C, Galecki Andrzej T, Duffin Kevin L, Pullen Nick, Breyer Matthew D, Bonventre Joseph V, Warram James H, Krolewski Andrzej S

机构信息

Section on Genetics and Epidemiology, Research Divisions, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.

Section on Genetics and Epidemiology, Research Divisions, Joslin Diabetes Center, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA; Department of Metabolic Disease, Jagellonian University Medical College, Krakow, Poland.

出版信息

Kidney Int. 2017 Jul;92(1):258-266. doi: 10.1016/j.kint.2017.02.010. Epub 2017 Apr 7.

Abstract

Design of Phase III trials for diabetic nephropathy currently requires patients at a high risk of progression defined as within three years of a hard end point (end-stage renal disease, 40% loss of estimated glomerular filtration rate, or death). To improve the design of these trials, we used natural history data from the Joslin Kidney Studies of chronic kidney disease in patients with diabetes to develop an improved criterion to identify such patients. This included a training cohort of 279 patients with type 1 diabetes and 134 end points within three years, and a validation cohort of 221 patients with type 2 diabetes and 88 end points. Previous trials selected patients using clinical criteria for baseline urinary albumin-to-creatinine ratio and estimated glomerular filtration rate. Application of these criteria to our cohort data yielded sensitivities (detection of patients at risk) of 70-80% and prognostic values of only 52-63%. We applied classification and regression trees analysis to select from among all clinical characteristics and markers the optimal prognostic criterion that divided patients with type 1 diabetes according to risk. The optimal criterion was a serum tumor necrosis factor receptor 1 level over 4.3 ng/ml alone or 2.9-4.3 ng/ml with an albumin-to-creatinine ratio over 1900 mg/g. Remarkably, this criterion produced similar results in both type 1 and type 2 diabetic patients. Overall, sensitivity and prognostic value were high (72% and 81%, respectively). Thus, application of this criterion to enrollment in future clinical trials could reduce the sample size required to achieve adequate statistical power for detection of treatment benefits.

摘要

目前,糖尿病肾病III期试验的设计要求患者处于疾病进展的高风险状态,定义为在三年内出现硬终点(终末期肾病、估计肾小球滤过率下降40%或死亡)。为了改进这些试验的设计,我们利用乔斯林肾脏研究中糖尿病患者慢性肾病的自然病史数据,制定了一个改进的标准来识别这类患者。这包括一个由279例1型糖尿病患者和三年内出现134个终点组成的训练队列,以及一个由221例2型糖尿病患者和88个终点组成的验证队列。以往的试验使用基线尿白蛋白与肌酐比值和估计肾小球滤过率的临床标准来选择患者。将这些标准应用于我们的队列数据,敏感性(检测有风险的患者)为70%-80%,预后价值仅为52%-63%。我们应用分类和回归树分析,从所有临床特征和标志物中选择根据风险对1型糖尿病患者进行划分的最佳预后标准。最佳标准是血清肿瘤坏死因子受体1水平单独超过4.3 ng/ml,或在2.9-4.3 ng/ml且白蛋白与肌酐比值超过1900 mg/g。值得注意的是,该标准在1型和2型糖尿病患者中产生了相似的结果。总体而言,敏感性和预后价值都很高(分别为72%和81%)。因此,将该标准应用于未来临床试验的入组,可以减少为检测治疗益处而获得足够统计效力所需的样本量。

相似文献

7
Risk Prediction for Early CKD in Type 2 Diabetes.2型糖尿病早期慢性肾脏病的风险预测
Clin J Am Soc Nephrol. 2015 Aug 7;10(8):1371-9. doi: 10.2215/CJN.10321014. Epub 2015 Jul 14.

引用本文的文献

6
Plasma Biomarkers and Incident CKD Among Individuals Without Diabetes.无糖尿病个体的血浆生物标志物与新发慢性肾脏病
Kidney Med. 2023 Aug 25;5(11):100719. doi: 10.1016/j.xkme.2023.100719. eCollection 2023 Nov.
7
Molecular Pathways of Diabetic Kidney Disease Inferred from Proteomics.从蛋白质组学推断糖尿病肾病的分子途径
Diabetes Metab Syndr Obes. 2023 Jan 12;16:117-128. doi: 10.2147/DMSO.S392888. eCollection 2023.

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验