Hansrivijit P, Chen YJ, Lnu K, Trongtorsak A, Puthenpura MM, Thongprayoon C, Bathini T, Mao MA, Cheungpasitporn W. Prediction of mortality among patients with chronic kidney disease: A systematic review. World J Nephrol 2021; 10(4): 59-75 [PMID: 34430385 DOI: 10.5527/wjn.v10.i4.59]
Corresponding Author of This Article
Wisit Cheungpasitporn, FACP, FASN, FAST, Associate Professor, Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States. wcheungpasitporn@gmail.com
Research Domain of This Article
Urology & Nephrology
Article-Type of This Article
Systematic Reviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Nephrol. Jul 25, 2021; 10(4): 59-75 Published online Jul 25, 2021. doi: 10.5527/wjn.v10.i4.59
Prediction of mortality among patients with chronic kidney disease: A systematic review
Panupong Hansrivijit, Yi-Ju Chen, Kriti Lnu, Angkawipa Trongtorsak, Max M Puthenpura, Charat Thongprayoon, Tarun Bathini, Michael A Mao, Wisit Cheungpasitporn
Panupong Hansrivijit, Yi-Ju Chen, Kriti Lnu, Department of Internal Medicine, UPMC Pinnacle, Harrisburg, PA 17104, United States
Angkawipa Trongtorsak, Department of Internal Medicine, Amita Health Saint Francis Hospital, Evanston, IL 60202, United States
Max M Puthenpura, Department of Medicine, Drexel University College of Medicine, Philadelphia, PA 19129, United States
Charat Thongprayoon, Wisit Cheungpasitporn, Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, United States
Tarun Bathini, Department of Internal Medicine, University of Arizona, Tucson, AZ 85721, United States
Michael A Mao, Division of Nephrology and Hypertension, Mayo Clinic, Jacksonville, FL 32224, United States
Author contributions: Hansrivijit P contributed to acquisition of data, analysis, and interpretation of data, drafting the article, and final approval; Chen YJ, Lnu K and Trongtorsak A contributed to acquisition of data, analysis of data, and drafting the article; Puthenpura MM contributed to acquisition of data and drafting the article; Thongprayoon C and Bathini T contributed to acquisition of data and final approval; Mao MA and Cheungpasitporn W contributed to interpretation of data, revising the article, and final approval.
Conflict-of-interest statement: The authors have declared no potential conflicts of interest.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Wisit Cheungpasitporn, FACP, FASN, FAST, Associate Professor, Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, United States. wcheungpasitporn@gmail.com
Received: March 21, 2021 Peer-review started: March 21, 2021 First decision: May 6, 2021 Revised: May 11, 2021 Accepted: July 23, 2021 Article in press: July 23, 2021 Published online: July 25, 2021 Processing time: 137 Days and 14.4 Hours
Core Tip
Core Tip: Although the current evidence has shown that several clinical factors are associated with mortality in chronic kidney disease (CKD), the accuracy of mortality prediction has not been clearly demonstrated. Our systematic review of studies that reported prognostic mortality factors using area under the receiver operating characteristic curve analysis in CKD patients provides an accuracy measurement. A total of 18 studies were identified. Eight hundred thirty two patients had non-dialysis CKD, and 13747 patients had end-stage kidney disease. Of 24 predictive factors, none were considered outstanding for mortality prediction. A total of seven predictive factors were identified as excellent. Our review summarizes the current accuracy of prognostic factors for CKD mortality.
