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10.1016/j.kint.2017.02.010 http://scihub22266oqcxt.onion/10.1016/j.kint.2017.02.010 C5796779!5796779 !28396115     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28396115 &cmd=llinks): Failed to open stream: HTTP request failed! 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Improved clinical trial enrollment criterion to identify patients with diabetes at risk of end-stage renal disease |pdf=|usr=}}{{28396115 }} gab.com Text Improved clinical trial enrollment criterion to identify patients with diabetes at risk of end-stage renal disease JO: Kidney Int http://www.kidney.de/pget.php?&tw=1&pmid=28396115 #FOAvip 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. Twit Text FOAVip Improved clinical trial enrollment criterion to identify patients with diabetes at risk of end-stage renal disease ????Kidney Int http://www.kidney.de/pget.php?&tw=1&pmid=28396115 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28396115 #FOAvip English Wikipedia <ref>{{Cite pmid|28396115 }}</ref> Improved clinical trial enrollment criterion to identify patients with diabetes at risk of end-stage renal disease #MMPMID28396115 Yamanouchi M ; Skupien J ; Niewczas MA ; Smiles AM ; Doria A ; Stanton RC ; Galecki AT ; Duffin KL ; Pullen N ; Breyer MD ; Bonventre JV ; Warram JH ; Krolewski AS Kidney Int 2017[Jul]; 92 (1 ): 258-266 PMID28396115 show ga 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. |*Endpoint Determination [MESH] |*Glomerular Filtration Rate [MESH] |*Patient Selection [MESH] |Adult [MESH] |Albuminuria/etiology/physiopathology [MESH] |Biomarkers/blood/urine [MESH] |Clinical Trials, Phase III as Topic/*methods [MESH] |Creatinine/urine [MESH] |Diabetes Mellitus, Type 1/*complications/diagnosis [MESH] |Diabetes Mellitus, Type 2/*complications/diagnosis [MESH] |Diabetic Nephropathies/diagnosis/*etiology/physiopathology/therapy [MESH] |Disease Progression [MESH] |Female [MESH] |Humans [MESH] |Kidney Failure, Chronic/diagnosis/*etiology/physiopathology/therapy [MESH] |Kidney/*physiopathology [MESH] |Male [MESH] |Middle Aged [MESH] |Predictive Value of Tests [MESH] |Receptors, Tumor Necrosis Factor, Type I/blood [MESH] |Reproducibility of Results [MESH] |Risk Assessment [MESH] |Risk Factors [MESH]Improved clinical trial enrollment criterion to identify patients with(epmc).pdf DeepDyve Pubget Overpricing