scholarly journals Red blood cell distribution width and mortality and hospitalizations in peritoneal dialysis patients

2018 ◽  
Vol 34 (12) ◽  
pp. 2111-2118 ◽  
Author(s):  
Melissa Soohoo ◽  
Miklos Z Molnar ◽  
Akos Ujszaszi ◽  
Yoshitsugu Obi ◽  
Csaba P Kovesdy ◽  
...  

Abstract Background Red blood cell distribution width (RDW) is found to be associated with different types of anemia and has recently been studied as a prognostic marker of mortality in hemodialysis patients. However, the relationship of RDW with mortality and hospitalization rate in peritoneal dialysis (PD) patients is less known. Methods Among 14 323 incident PD patients between 2007 and 2011 in the USA, we examined the relationship of baseline and time-varying RDW with the risk of mortality and time to first hospitalization using adjusted Cox models. In addition, we examined the relationship of baseline RDW and hospitalization rate using an adjusted negative-binomial regression model. Sensitivity analyses included competing risk models and subgroup analyses. Results The study population comprised patients 56 ± 16 years of age, including 43% females, 23% African Americans and 62% diabetics, with a mean RDW of 15.3 ± 1.6%. In models adjusted for clinical characteristics and laboratory parameters, RDW exhibited an incremental relationship with the mortality risk, where RDW ≥16.5% had a 40% and 69% higher risk of death in baseline and time-varying analyses, respectively, compared with an RDW of 14.5–15.5%. Moreover, higher baseline RDW ≥16.5% was also associated with a higher risk of time to first hospitalization {hazard ratio 1.22 [95% confidence interval (CI) 1.14–1.29]} and a higher rate of hospitalizations [incidence rate ratio 1.16 (95% CI 1.09–1.23)]. These results were consistent across numerous sensitivity analyses. Conclusions Higher RDW is associated with a higher risk of mortality and hospitalizations among incident PD patients. Further studies are needed to examine the mechanism behind RDW and adverse outcomes.

2021 ◽  
Vol 8 (7) ◽  
pp. 14-27
Author(s):  
Anwar Sholeh ◽  
Alwi Thamrin Nasution ◽  
Radar Radius Tarigan

Background: Chronic kidney disease (CKD) is characterized by structural and functional disorder of the kidney with irreversible and gradual characteristics with one of the modalities of renal replacement therapy such as hemodialysis (HD). The role of inflammation in HD patients by uremic toxin and dialysis can be assessed by the marker of High Sensitive C Reactive Protein (HsCRP). Several studies have examined the relationship between HsCRP and red cell distribution width (RDW) in regular HD patients which leads to increase patient morbidity and mortality, but until now, there has been no study in Indonesia regarding the correlation between HsCRP and RDW in regular HD patients. This study aims to determine the correlation HsCRP as a marker of inflammation and RDW values in regular HD patients. Methods: This is a cross-sectional study in Regular HD patients at Dialysis Unit-H. Adam Malik General Hospital. A total of 20 subjects were included. Bivariate and multivariate analysis was conducted to analyze the relationship of HsCRP, ureum, creatinin, hemoglobin, and eGFR to RDW. Results: There were 20 Regular HD patients analyzed. The proportion of patients with increased RDW was 80%. In pearson correlation test, there is a strong correlation between HsCRP and RDW (r= 0.667, p<0.001). Discussion: Majority of regular HD patients at H. Adam Malik General Hospital were assessed with increased RDW. Pearson correlation analysis revealed HsCRP was significantly associated with RDW. Conclusion: Increased RDW was found in 80% of regular HD patients at H. Adam malik General Hospital. From pearson correlation analysis, we found HsCRP was significantly associated with RDW. Keywords: inflammation, high sensitive c reactive protein, red blood cell distribution width, regular hemodialysis.


Medicine ◽  
2019 ◽  
Vol 98 (6) ◽  
pp. e14376 ◽  
Author(s):  
Hui-xia Cao ◽  
Xin-di Zhao ◽  
Lei Yan ◽  
Xiao-guang Fan ◽  
Feng-min Shao

Renal Failure ◽  
2020 ◽  
Vol 42 (1) ◽  
pp. 613-621
Author(s):  
Peng He ◽  
Jin-ping Hu ◽  
Huan Li ◽  
Xiu-juan Tian ◽  
Li-jie He ◽  
...  

2014 ◽  
Vol 113 (7) ◽  
pp. S27-S28
Author(s):  
E. Celik ◽  
S. Cay ◽  
F. Oksuz ◽  
T. Cankurt ◽  
M.A. Mendi ◽  
...  

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