Peng He1, Jin-Ping Hu1, Huan Li1,2, Xiu-Juan Tian1, Li-Jie He1, Shi-Ren Sun1, Chen Huang1. 1. Department of Nephrology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China. 2. Department of Nephrology, Shaanxi Provincial Secondary People's Hospital, Xi'an, China.
Abstract
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.
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.
Entities:
Keywords:
Red blood cell distribution width; chronic kidney disease; peritoneal dialysis; peritoneal dialysis-associated peritonitis
Authors: Neil Boudville; Anna Kemp; Philip Clayton; Wai Lim; Sunil V Badve; Carmel M Hawley; Stephen P McDonald; Kathryn J Wiggins; Kym M Bannister; Fiona G Brown; David W Johnson Journal: J Am Soc Nephrol Date: 2012-05-24 Impact factor: 10.121
Authors: Philip Kam-Tao Li; Cheuk Chun Szeto; Beth Piraino; Javier de Arteaga; Stanley Fan; Ana E Figueiredo; Douglas N Fish; Eric Goffin; Yong-Lim Kim; William Salzer; Dirk G Struijk; Isaac Teitelbaum; David W Johnson Journal: Perit Dial Int Date: 2016-06-09 Impact factor: 1.756