Wander Valadares de Oliveira Júnior, Luciane Teixeira Passos Giarola, Letícia Gonçalves Resende Ferreira, Isabella Viana Gomes Schettini, Sylvia Dias Turani, Arlindo Ribeiro de Oliveira, Maria Aparecida Silva Marinho, Sérgio Wyton Lima Pinto, Melina Barros-Pinheiro, Roberta Carvalho de Figueiredo, Danyelle Romana Alves Rios
{"title":"Inflammation and all-cause mortality in patients undergoing peritoneal dialysis.","authors":"Wander Valadares de Oliveira Júnior, Luciane Teixeira Passos Giarola, Letícia Gonçalves Resende Ferreira, Isabella Viana Gomes Schettini, Sylvia Dias Turani, Arlindo Ribeiro de Oliveira, Maria Aparecida Silva Marinho, Sérgio Wyton Lima Pinto, Melina Barros-Pinheiro, Roberta Carvalho de Figueiredo, Danyelle Romana Alves Rios","doi":"10.31744/einstein_journal/2024AO0627","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate inflammatory biomarkers in patients undergoing peritoneal dialysis and investigate their association with all-cause mortality or transfer to hemodialysis.</p><p><strong>Methods: </strong>This prospective cohort study included 43 patients undergoing peritoneal dialysis. Plasma levels of cytokines were measured using flow cytometry and capture enzyme-linked immunosorbent assay. Biomarkers were categorized based on their respective median values. Survival analysis was conducted using the Kaplan-Meier estimator, considering two outcomes: all-cause mortality and transfer to hemodialysis.</p><p><strong>Results: </strong>After adjusting for confounding factors, plasma levels above the median of the levels of CCL2 and plasma, as well as below the median of TNF-α, and the median of dialysate IL-17 levels, were associated with an increased risk of experiencing the specified outcomes after approximately 16 months of follow-up.</p><p><strong>Conclusion: </strong>These findings suggest that inflammatory biomarkers may be a valuable tool for predicting all-cause mortality and transfer to hemodialysis in patients undergoing peritoneal dialysis.</p>","PeriodicalId":47359,"journal":{"name":"Einstein-Sao Paulo","volume":"22 ","pages":"eAO0627"},"PeriodicalIF":1.1000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11323835/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Einstein-Sao Paulo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31744/einstein_journal/2024AO0627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study aimed to evaluate inflammatory biomarkers in patients undergoing peritoneal dialysis and investigate their association with all-cause mortality or transfer to hemodialysis.
Methods: This prospective cohort study included 43 patients undergoing peritoneal dialysis. Plasma levels of cytokines were measured using flow cytometry and capture enzyme-linked immunosorbent assay. Biomarkers were categorized based on their respective median values. Survival analysis was conducted using the Kaplan-Meier estimator, considering two outcomes: all-cause mortality and transfer to hemodialysis.
Results: After adjusting for confounding factors, plasma levels above the median of the levels of CCL2 and plasma, as well as below the median of TNF-α, and the median of dialysate IL-17 levels, were associated with an increased risk of experiencing the specified outcomes after approximately 16 months of follow-up.
Conclusion: These findings suggest that inflammatory biomarkers may be a valuable tool for predicting all-cause mortality and transfer to hemodialysis in patients undergoing peritoneal dialysis.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
