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Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis

OBJECTIVE: Red blood cell distribution width (RDW) is a parameter of the heterogeneity of circulating erythrocyte size. Recent researches have pointed out a link among RDW, chronic kidney disease, and inflammation. We sought to investigate the prognostic value of baseline RDW in patients with perito...

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Autores principales: He, Peng, Hu, Jin-ping, Li, Huan, Tian, Xiu-juan, He, Li-jie, Sun, Shi-ren, Huang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946038/
https://www.ncbi.nlm.nih.gov/pubmed/32611209
http://dx.doi.org/10.1080/0886022X.2020.1786401
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author He, Peng
Hu, Jin-ping
Li, Huan
Tian, Xiu-juan
He, Li-jie
Sun, Shi-ren
Huang, Chen
author_facet He, Peng
Hu, Jin-ping
Li, Huan
Tian, Xiu-juan
He, Li-jie
Sun, Shi-ren
Huang, Chen
author_sort He, Peng
collection PubMed
description OBJECTIVE: Red blood cell distribution width (RDW) is a parameter of the heterogeneity of circulating erythrocyte size. Recent researches have pointed out a link among RDW, chronic kidney disease, and inflammation. We sought to investigate the prognostic value of baseline RDW in patients with peritoneal dialysis-associated peritonitis (PDAP). METHODS: Our study included 337 peritonitis episodes experienced by 202 patients who were undergoing continuous ambulatory peritoneal dialysis (CAPD) at a single center from 2013 to 2018. Episodes were categorized according to the tertiles of baseline RDW levels (T1, <13.2%; T2, 13.2−14.3%; T3, >14.3%). Routine logistic regression and generalized estimating equation (GEE) were used to estimate the association between RDW and treatment failure, which was defined as relapse/recurrent episodes, catheter removal, or death during therapy. RESULTS: After adjusting for other potential predictors, RDW exhibited an incremental relationship with the risk of treatment failure. The baseline RDW of T3 indicated a 43% and 52% increased venture of treatment failure in logistic and GEE analyses, respectively, compared with T1. As a continuous variable, the fitting curve based on restricted cubic spiline showed that the relationship was nonlinearly but positively correlated. The multivariate model A (combined RDW with baseline age, albumin, serum ferritin, and duration on CAPD) showed an area under the curve of 0.671 (95% confidence interval, 0.5920.749) for the prediction of treatment failure. CONCLUSIONS: A Higher baseline level of RDW was significantly associated with a greater rate of treatment failure among PDAP episodes independent of other potential predictors.
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spelling pubmed-79460382021-03-22 Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis He, Peng Hu, Jin-ping Li, Huan Tian, Xiu-juan He, Li-jie Sun, Shi-ren Huang, Chen Ren Fail Clinical Study OBJECTIVE: Red blood cell distribution width (RDW) is a parameter of the heterogeneity of circulating erythrocyte size. Recent researches have pointed out a link among RDW, chronic kidney disease, and inflammation. We sought to investigate the prognostic value of baseline RDW in patients with peritoneal dialysis-associated peritonitis (PDAP). METHODS: Our study included 337 peritonitis episodes experienced by 202 patients who were undergoing continuous ambulatory peritoneal dialysis (CAPD) at a single center from 2013 to 2018. Episodes were categorized according to the tertiles of baseline RDW levels (T1, <13.2%; T2, 13.2−14.3%; T3, >14.3%). Routine logistic regression and generalized estimating equation (GEE) were used to estimate the association between RDW and treatment failure, which was defined as relapse/recurrent episodes, catheter removal, or death during therapy. RESULTS: After adjusting for other potential predictors, RDW exhibited an incremental relationship with the risk of treatment failure. The baseline RDW of T3 indicated a 43% and 52% increased venture of treatment failure in logistic and GEE analyses, respectively, compared with T1. As a continuous variable, the fitting curve based on restricted cubic spiline showed that the relationship was nonlinearly but positively correlated. The multivariate model A (combined RDW with baseline age, albumin, serum ferritin, and duration on CAPD) showed an area under the curve of 0.671 (95% confidence interval, 0.5920.749) for the prediction of treatment failure. CONCLUSIONS: A Higher baseline level of RDW was significantly associated with a greater rate of treatment failure among PDAP episodes independent of other potential predictors. Taylor & Francis 2020-07-02 /pmc/articles/PMC7946038/ /pubmed/32611209 http://dx.doi.org/10.1080/0886022X.2020.1786401 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Study
He, Peng
Hu, Jin-ping
Li, Huan
Tian, Xiu-juan
He, Li-jie
Sun, Shi-ren
Huang, Chen
Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis
title Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis
title_full Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis
title_fullStr Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis
title_full_unstemmed Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis
title_short Red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis
title_sort red blood cell distribution width and peritoneal dialysis-associated peritonitis prognosis
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946038/
https://www.ncbi.nlm.nih.gov/pubmed/32611209
http://dx.doi.org/10.1080/0886022X.2020.1786401
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