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The influencing factors of the erythropoietin resistance index and its association with all-cause mortality in maintenance hemodialysis patients.
Zhao, Xinju; Gan, Liangying; Hou, Fan Fan; Liang, Xinling; Chen, Xiaonong; Chen, Yuqing; Ni, Zhaohui; Zuo, Li.
Affiliation
  • Zhao X; Department of Nephrology, Peking University People's Hospital, Beijing, China.
  • Gan L; Department of Nephrology, Peking University People's Hospital, Beijing, China.
  • Hou FF; Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center of Kidney Disease, State Key Laboratory of Organ Failure Research, Guangzhou, China.
  • Liang X; Division of Nephrology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong, China.
  • Chen X; Division of Nephrology, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
  • Chen Y; Renal Division, Peking University First Hospital, Beijing, China.
  • Ni Z; Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Zuo L; Department of Nephrology, Peking University People's Hospital, Beijing, China.
Ren Fail ; 46(1): 2290922, 2024 Dec.
Article in En | MEDLINE | ID: mdl-38234178
ABSTRACT
Anemia is a common complication of chronic kidney disease with major option treatment of erythropoiesis-stimulating agents (ESAs). This study aimed to investigate the influencing factors of erythropoietin resistance index (ERI) and its association with mortality in maintenance hemodialysis (MHD) patients. Patients enrolled from China Dialysis Outcomes and Practice Patterns Study (DOPPS) 5 were included. ERI was calculated as follows ESA (IU/week)/weight (kg, post-dialysis)/hemoglobin level (g/dL). The Cox regression model was used to analyze the influencing factors on survival outcomes. Stepwise multivariate logistic regression was used to identify the related risk factors, and subgroup analyses were performed. A total of 1270 MHD subjects (687 males and 583 females) were included, with an average age of 60 (49.0, 71.0) years. All subjects were divided into two groups by the median ERI of 14.03. Multivariate logistic regression showed that dialysis vintage (OR 0.957, 95% CI 0.929-0.986), white blood cells (OR 0.900, 95% CI 0.844-0.960), high flux dialyzer use (OR 0.866, 95% CI 0.755-0.993), body mass index (OR 0.860, 95% CI 0.828-0.892), males (OR 0.708, 95% CI 0.625-0.801), and albumin (OR 0.512, 95% CI 0.389-0.673) had a negative association with high ERI baseline (all p < 0.05). There were 176 (13.9%) deaths in total including 89 cardiac/vascular deaths during follow-up. Cox regression analysis showed that ERI was positively associated with all-cause mortality, especially in some subgroups. ERI was associated with increased all-cause mortality in MHD patients, indicating the possibility of death prediction by ERI. Patients with high ERI warrant more attention.
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Full text: 1 Database: MEDLINE Main subject: Erythropoietin / Hematinics / Anemia / Kidney Failure, Chronic Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Ren Fail / Renal fail / Renal failure Journal subject: NEFROLOGIA Year: 2024 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Main subject: Erythropoietin / Hematinics / Anemia / Kidney Failure, Chronic Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Ren Fail / Renal fail / Renal failure Journal subject: NEFROLOGIA Year: 2024 Type: Article Affiliation country: China