Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients
IntroductionPeritoneal dialysis-associated peritonitis (PDAP) is a serious complication of peritoneal dialysis (PD) patients. The aim of this study was to construct a risk prediction model for frequent episodes in PDAP patients.MethodsThis retrospective cohort study included PDAP patients in our cen...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Medicine |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1456857/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832582872813273088 |
---|---|
author | Qi-jiang Xu Qi-jiang Xu Zhi-yun Zang Xue-li Zhou Xue-li Zhou Ni-ya Ma Li Pu Li Pu Zi Li |
author_facet | Qi-jiang Xu Qi-jiang Xu Zhi-yun Zang Xue-li Zhou Xue-li Zhou Ni-ya Ma Li Pu Li Pu Zi Li |
author_sort | Qi-jiang Xu |
collection | DOAJ |
description | IntroductionPeritoneal dialysis-associated peritonitis (PDAP) is a serious complication of peritoneal dialysis (PD) patients. The aim of this study was to construct a risk prediction model for frequent episodes in PDAP patients.MethodsThis retrospective cohort study included PDAP patients in our center from January 1, 2010 to December 31, 2021. The risk prediction model for frequent episodes in PDAP patients was constructed by the binary logistic regression.ResultsWe included 371 PDAP patients, of which 235 patients had single episode and 136 had frequent episodes. We randomly allocated the patients into training set (296 patients) and test set (75 patients) in the ratio of 8:2. In the training set, we found several independent risk factors significantly associated with frequent episodes in PDAP patients, including diabetes mellitus (DM), hemoglobin (HB), serum albumin (ALB), lactatic dehydrogenase (LDH), serum potassium (K), N-terminal pro-brain natriuretic peptide (NT-proBNP) and peritoneal dialysate white cell counts on day 1. And we constructed a prediction model with an area under curve (AUC) values of 0.75 in the training set and 0.76 in the test set, which showed excellent predictive performance.ConclusionWe constructed a predictive model that demonstrated excellent predictive performance for identifying high-risk frequent episodes in PDAP patients and developed a more intuitive nomogram for evaluating the risk. However, multicenter studies with a larger sample size are warranted to validate the model in the future. |
format | Article |
id | doaj-art-751b65f7e12a430fa85771a463524b37 |
institution | Kabale University |
issn | 2296-858X |
language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Medicine |
spelling | doaj-art-751b65f7e12a430fa85771a463524b372025-01-29T06:46:15ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-01-011210.3389/fmed.2025.14568571456857Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patientsQi-jiang Xu0Qi-jiang Xu1Zhi-yun Zang2Xue-li Zhou3Xue-li Zhou4Ni-ya Ma5Li Pu6Li Pu7Zi Li8Department of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, ChinaDepartment of Nephrology, Yibin Second People’s Hospital, Yibin, ChinaDepartment of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, ChinaDepartment of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, ChinaNephrology Department of West China Hospital, School of Nursing, Sichuan University, Chengdu, ChinaDepartment of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, ChinaDepartment of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, ChinaNephrology Department of West China Hospital, School of Nursing, Sichuan University, Chengdu, ChinaDepartment of Nephrology, Institute of Nephrology, West China Hospital of Sichuan University, Chengdu, ChinaIntroductionPeritoneal dialysis-associated peritonitis (PDAP) is a serious complication of peritoneal dialysis (PD) patients. The aim of this study was to construct a risk prediction model for frequent episodes in PDAP patients.MethodsThis retrospective cohort study included PDAP patients in our center from January 1, 2010 to December 31, 2021. The risk prediction model for frequent episodes in PDAP patients was constructed by the binary logistic regression.ResultsWe included 371 PDAP patients, of which 235 patients had single episode and 136 had frequent episodes. We randomly allocated the patients into training set (296 patients) and test set (75 patients) in the ratio of 8:2. In the training set, we found several independent risk factors significantly associated with frequent episodes in PDAP patients, including diabetes mellitus (DM), hemoglobin (HB), serum albumin (ALB), lactatic dehydrogenase (LDH), serum potassium (K), N-terminal pro-brain natriuretic peptide (NT-proBNP) and peritoneal dialysate white cell counts on day 1. And we constructed a prediction model with an area under curve (AUC) values of 0.75 in the training set and 0.76 in the test set, which showed excellent predictive performance.ConclusionWe constructed a predictive model that demonstrated excellent predictive performance for identifying high-risk frequent episodes in PDAP patients and developed a more intuitive nomogram for evaluating the risk. However, multicenter studies with a larger sample size are warranted to validate the model in the future.https://www.frontiersin.org/articles/10.3389/fmed.2025.1456857/fullperitoneal dialysisperitonitisfrequent episodesprediction modelnomogram |
spellingShingle | Qi-jiang Xu Qi-jiang Xu Zhi-yun Zang Xue-li Zhou Xue-li Zhou Ni-ya Ma Li Pu Li Pu Zi Li Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients Frontiers in Medicine peritoneal dialysis peritonitis frequent episodes prediction model nomogram |
title | Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients |
title_full | Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients |
title_fullStr | Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients |
title_full_unstemmed | Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients |
title_short | Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients |
title_sort | unveiling risk factors a prognostic model of frequent peritonitis in peritoneal dialysis patients |
topic | peritoneal dialysis peritonitis frequent episodes prediction model nomogram |
url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1456857/full |
work_keys_str_mv | AT qijiangxu unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients AT qijiangxu unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients AT zhiyunzang unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients AT xuelizhou unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients AT xuelizhou unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients AT niyama unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients AT lipu unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients AT lipu unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients AT zili unveilingriskfactorsaprognosticmodeloffrequentperitonitisinperitonealdialysispatients |