The neutrophil-to-lymphocyte ratio independently predicts all-cause mortality in non-dialysis chronic kidney disease patients with preserved red cell distribution width: A retrospective cohort study.

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Title: The neutrophil-to-lymphocyte ratio independently predicts all-cause mortality in non-dialysis chronic kidney disease patients with preserved red cell distribution width: A retrospective cohort study.
Authors: Hwang Y; Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.; Department of Nephrology, Daejeon St. Mary's Hospital, Daejeon, Republic of Korea., Jo J; Department of Medical Science, Chungnam National University, Daejeon, Republic of Korea., Han S; Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.; Department of Nephrology, Daejeon St. Mary's Hospital, Daejeon, Republic of Korea., Park H; Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.; Department of Nephrology, Daejeon St. Mary's Hospital, Daejeon, Republic of Korea., Hong YA; Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.; Department of Nephrology, Daejeon St. Mary's Hospital, Daejeon, Republic of Korea., Chang YK; Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.; Department of Nephrology, Daejeon St. Mary's Hospital, Daejeon, Republic of Korea., Choi DE; Department of Medical Science, Chungnam National University, Daejeon, Republic of Korea.; Department of Nephrology, Chungnam National University Hospital, Daejeon, Republic of Korea.
Source: PloS one [PLoS One] 2026 Jun 22; Vol. 21 (6), pp. e0351699. Date of Electronic Publication: 2026 Jun 22 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0351699