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