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本文引用的文献

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A Novel Predictive Model for Hospital Survival in Patients who are Critically Ill with Dialysis-Dependent AKI: A Retrospective Single-Center Exploratory Study.一种用于预测透析依赖型 AKI 危重症患者住院存活率的新型预测模型：一项回顾性单中心探索性研究。
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2
Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals.预测模型的制定和报告：呼吸、睡眠和危重病期刊编辑给作者的指南。
Crit Care Med. 2020 May;48(5):623-633. doi: 10.1097/CCM.0000000000004246.
3
Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.机器学习算法预测行连续性肾脏替代治疗患者的死亡率。
Crit Care. 2020 Feb 6;24(1):42. doi: 10.1186/s13054-020-2752-7.
4
Predicting mortality among critically ill patients with acute kidney injury treated with renal replacement therapy: Development and validation of new prediction models.预测接受肾脏替代治疗的急性肾损伤危重症患者的死亡率：新预测模型的建立和验证。
J Crit Care. 2020 Apr;56:113-119. doi: 10.1016/j.jcrc.2019.12.015. Epub 2019 Dec 18.
5
Development of a new mortality scoring system for acute kidney injury with continuous renal replacement therapy.开发一种新的连续性肾脏替代治疗急性肾损伤患者死亡率评分系统。
Nephrology (Carlton). 2019 Dec;24(12):1233-1240. doi: 10.1111/nep.13661. Epub 2019 Oct 1.
6
Predicting Renal Recovery After Dialysis-Requiring Acute Kidney Injury.预测需要透析的急性肾损伤后的肾功能恢复情况。
Kidney Int Rep. 2019 Jan 28;4(4):571-581. doi: 10.1016/j.ekir.2019.01.015. eCollection 2019 Apr.
7
A clinical score to predict mortality in septic acute kidney injury patients requiring continuous renal replacement therapy: the HELENICC score.预测需要持续肾脏替代治疗的脓毒症急性肾损伤患者死亡率的临床评分：HELENICC评分
BMC Anesthesiol. 2017 Feb 7;17(1):21. doi: 10.1186/s12871-017-0312-8.
8
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.透明报告个体预后或诊断的多变量预测模型（TRIPOD）：TRIPOD 声明。
Ann Intern Med. 2015 Jan 6;162(1):55-63. doi: 10.7326/M14-0697.
9
Model to predict mortality in critically ill adults with acute kidney injury.急性肾损伤危重症成人死亡率预测模型。
Clin J Am Soc Nephrol. 2011 Sep;6(9):2114-20. doi: 10.2215/CJN.02900311.
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A predictive model for progression of chronic kidney disease to kidney failure.慢性肾脏病进展为肾衰竭的预测模型。
JAMA. 2011 Apr 20;305(15):1553-9. doi: 10.1001/jama.2011.451. Epub 2011 Apr 11.

Dissipating the Fog at the Crossroad: Predicting Survival after the Initiation of Kidney Replacement Therapy.

作者信息

Côté Jean-Maxime, Beaubien-Souligny William

机构信息

Division of Nephrology, Centre Hospitalier de l'Université de Montréal, Montréal, Canada.

Research Center, Centre Hospitalier de l'Université de Montréal, Montréal, Canada.

出版信息

Kidney360. 2022 Mar 25;3(4):586-589. doi: 10.34067/KID.0001122022. eCollection 2022 Apr 28.

DOI:10.34067/KID.0001122022
PMID:35721609
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9136895/
Abstract
摘要