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Clinical prediction models for progression of chronic kidney disease to end-stage kidney failure under pre-dialysis nephrology care: results from the Chronic Kidney Disease Japan Cohort Study

机译：透析前肾病监护下慢性肾脏病进展为终末期肾衰竭的临床预测模型：日本慢性肾脏病队列研究的结果

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摘要

BackgroundReliable prediction tools are needed to identify patients with chronic kidney disease (CKD) at greater risk of developing end-stage kidney failure (ESKF). We developed and validated clinical prediction models (CPMs) for CKD progression to ESKF under pre-dialysis nephrology care using CKD-Japan Cohort (CKD-JAC) data.

机译：背景技术需要可靠的预测工具来识别患有终末期肾衰竭（ESKF）的更大风险的慢性肾脏病（CKD）患者。我们使用CKD-Japan Cohort（CKD-JAC）数据在透析前肾脏病护理下开发并验证了CKD演变为ESKF的临床预测模型（CPM）。

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期刊名称 Springer Open Choice
作者
Takeshi Hasegawa; Kentaro Sakamaki; Fumihiko Koiwa; Tadao Akizawa; Akira Hishida;
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作者单位

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年(卷),期 -1(23),2
年度 -1
页码 189–198
总页数 10
原文格式 PDF
正文语种
中图分类外科学;
关键词
Clinical prediction modelsm Chronic kidney disease (CKD) End-stage kidney failure (ESKF) Chronic Kidney Disease Japan Cohort (CKD-JAC) study;

机译：临床预测模型;慢性肾脏病（CKD）;终末期肾衰竭（ESKF）;日本慢性肾脏病队列（CKD-JAC）研究;

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专利

1. Clinical prediction models for progression of chronic kidney disease to end-stage kidney failure under pre-dialysis nephrology care: results from the Chronic Kidney Disease Japan Cohort Study [J] . Hasegawa Takeshi, Sakamaki Kentaro, Koiwa Fumihiko, Clinical and experimental nephrology . 2019,第2期

机译：慢性肾病进展到透析前肾脏病肾衰竭进展的临床预测模型：慢性肾病日本队列研究结果
2. Progression to end-stage kidney disease in Japanese children with chronic kidney disease: Results of a nationwide prospective cohort study [J] . IshikuraK., UemuraO., HamasakiY., Nephrology, dialysis, transplantation: official publication of the European Dialysis and Transplant Association - European Renal Association . 2014,第4期

机译：日本患有慢性肾脏疾病的儿童进展为终末期肾脏疾病：一项全国性前瞻性队列研究的结果
3. Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease [J] . Sung Woo Lee, Hyang Ki Min, Dong-Wan Chae, PLoS One . 2020,第5期

机译：左心室肿块的指数预测慢性肾疾病前透析患者的不良临床结果：韩国队列慢性肾病患者结果研究
4. Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease [C] . Joseph Futoma, Mark Sendak, C. Blake Cameron, Conference on Uncertainty in Artificial Intelligence . 2016

机译：疾病轨迹预测纵向和点过程数据的可扩展联合建模及改善慢性肾病的管理
5. Subtyping Chronic Kidney Disease Patients and Adiposity-Obesity Related Metabolomics Analyses: Findings from the Chronic Renal Insufficiency Cohort Study [D] . Zheng, Zihe. 2021

机译：亚型慢性肾病患者和肥胖肥胖相关的代谢组科分析：从慢性肾功能不全的研究结果研究
6. Indexation of left ventricular mass to predict adverse clinical outcomes in pre-dialysis patients with chronic kidney disease: KoreaN cohort study of the outcome in patients with chronic kidney disease [O] . Sung Woo Lee, Hyang Ki Min, Dong-Wan Chae, 2020

机译：左心室肿块的指数预测慢性肾疾病前透析患者的不良临床结果：韩国队列慢性肾病患者结果研究
7. Clinical prediction models for progression of chronic kidney disease to end-stage kidney failure under pre-dialysis nephrology care: results from the Chronic Kidney Disease Japan Cohort Study [O] . Takeshi Hasegawa, Kentaro Sakamaki, Fumihiko Koiwa, 2018

机译：慢性肾病进展到透析前肾脏病肾衰竭进展的临床预测模型：慢性肾病日本队列研究结果

Clinical prediction models for progression of chronic kidney disease to end-stage kidney failure under pre-dialysis nephrology care: results from the Chronic Kidney Disease Japan Cohort Study

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