首页> 美国卫生研究院文献>Nephrology Dialysis Transplantation >Optimally predicting mortality with kidney function markers is not the same as optimally determining how kidney function predicts mortality

【2h】

Optimally predicting mortality with kidney function markers is not the same as optimally determining how kidney function predicts mortality

机译：使用肾功能标记物最佳预测死亡率与优化确定肾功能如何预测死亡率不同

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
相似文献
相关主题

著录项

期刊名称 Nephrology Dialysis Transplantation
作者
Richard J. Glassock; Andrew D. Rule;
展开▼
作者单位

展开▼
年(卷),期 -1(32),4
年度 -1
页码 585–587
总页数 3
原文格式 PDF
正文语种
中图分类泌尿科学（泌尿生殖系疾病）;小儿泌尿科学;肾疾病;移植;
关键词

相似文献

外文文献
中文文献
专利

1. Optimally predicting mortality with kidney function markers is not the same as optimally determining how kidney function predicts mortality [J] . Glassock Richard J., Rule Andrew D. Nephrology, dialysis, transplantation: official publication of the European Dialysis and Transplant Association - European Renal Association . 2017,第4期

机译：用肾功能标记的最佳预测死亡率与最佳决定如何预测肾功能如何预测死亡率
2. Kidney damage biomarkers detect acute kidney injury but only functional markers predict mortality after paraquat ingestion [J] . Mohamed Fahim, Buckley Nicholas A., Jayamanne Shaluka, Toxicology Letters: An International Journal Providing a Forum for Original and Pertinent Contributions in Toxicology Research . 2015,第2期

机译：肾脏损害生物标记物可检测急性肾脏损伤，但只有功能标记物可预测百草枯摄入后的死亡率
3. Novel markers of kidney function as predictors of ESRD, cardiovascular disease, and mortality in the general population [J] . AstorB.C., ShafiT., HoogeveenR.C., American Journal of Kidney Diseases: The official journal of the National Kidney Foundation . 2012,第5期

机译：肾脏功能的新标志物可预测普通人群中ESRD，心血管疾病和死亡率
4. Predicting 1-Year Mortality of Acute Kidney Injury: A Risk Model Using Electronic Health Records [C] . Chao-Jung Huang, Brian Wu, Xiaodong Li, International Forum on Medical Imaging in Asia . 2021

机译：预测急性肾损伤的1年死亡率：使用电子健康记录的风险模型
5. The Use of Bayesian Principles to Predict the Optimal Revisit Interval and the Causal Relationship between Revisit Intervals and Chronic Kidney Disease for Medicare Patients with Type II Diabetes [D] . Lasway, Annie Enikunda. 2020

机译：贝叶斯原则的利用预测II型糖尿病患者Revisit间隔和慢性肾病的最佳Revisit区间和因果关系
6. Novel markers of kidney function as predictors of end-stage kidney disease cardiovascular disease and mortality in the general population [O] . Brad C. Astor, Tariq Shafi, Ron C. Hoogeveen, -1

机译：肾功能的新标志物在总人口中终末期肾脏疾病心血管疾病和死亡率的预测
7. Kidney damage biomarkers detect acute kidney injury but only functional markers predict mortality after paraquat ingestion [O] . Fahim Mohamed, Nicholas A. Buckley, Shaluka Jayamanne, 2015

机译：肾脏损伤生物标志物检测急性肾损伤，但只有功能性标记在百草枯摄取后预测死亡率

Optimally predicting mortality with kidney function markers is not the same as optimally determining how kidney function predicts mortality

著录项

相似文献

相关主题

期刊订阅