Evidence mapPaperPMID 41501722Full record

ArticleBMC nephrology2026

Risk factors and microbiological characteristics of bacterial peritonitis in patients undergoing peritoneal dialysis.

Yanling Liu, Wei Zhao, Hua Lu, Aixiang Liu

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Article in BMC nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Yanling LiuDepartment of Nephrology, Xingtai People's Hospital, No. 16 Hongxing Street, Xiangdu District, Xingtai City, Hebei Province, 054000, China. liuyanlingabc@126.com.
Wei ZhaoDepartment of CT/MRI, Xingtai People's Hospital, Xingtai City, Hebei Province, 054000, China.
Hua LuDepartment of Nephrology, Xingtai People's Hospital, No. 16 Hongxing Street, Xiangdu District, Xingtai City, Hebei Province, 054000, China.
Aixiang LiuDepartment of Nephrology, Xingtai People's Hospital, No. 16 Hongxing Street, Xiangdu District, Xingtai City, Hebei Province, 054000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeritoneal dialysis–associated peritonitis (PDAP) is a major complication of chronic peritoneal dialysis (PD), contributing to hospitalization, technique failure, and mortality. Characterizing patient-level risk factors and local microbiological patterns is essential for prevention strategies and empiric therapy selection.

methodsThis retrospective study included adults on continuous ambulatory peritoneal dialysis (CAPD) or automated peritoneal dialysis (APD) at a single center between January 2022 and December 2024. Episodes of bacterial peritonitis were defined using International Society for Peritoneal Dialysis (ISPD) criteria. Demographic data, comorbidities, laboratory parameters, and microbiological culture results were analyzed. Patients were stratified into a peritonitis group (n = 36) and a non-peritonitis group (n = 203). Risk factors were assessed by univariate analysis, with significant variables (p < 0.10) included in multivariate logistic regression.

resultsGram-positive cocci predominated among PDAP episodes (61.1%), with coagulase-negative Staphylococcus (30.6%) and Staphylococcus aureus (13.9%) as the leading isolates. Gram-negative bacilli accounted for 30.6%, led by Escherichia coli and Klebsiella spp., while non-fermenters represented 8.4%. In an exploratory multivariate analysis, factors associated with PDAP at diagnosis included lower hemoglobin (OR 0.956, 95% CI 0.922–0.991), hypoalbuminemia (OR 0.868, 95% CI 0.793–0.950), higher white blood cell count (OR 1.331, 95% CI 1.102–1.607), higher neutrophil percentage (OR 1.064, 95% CI 1.025–1.105), and lower serum calcium (OR 0.137, 95% CI 0.021–0.879). Diabetes mellitus was not independently significant.

conclusionsPDAP in this cohort was primarily caused by gram-positive cocci. Exploratory analysis identified a cluster of parameters indicative of inflammation and nutritional status that were associated with peritonitis at diagnosis. Findings support tailored empiric antibiotic coverage and suggest that prevention bundles could consider incorporating nutritional and inflammatory optimization alongside standardized culture practices. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Bacterial InfectionsPeritoneal DialysisPeritonitisAgedFemaleHumansMaleMiddle AgedPeritoneal Dialysis, Continuous AmbulatoryRetrospective StudiesRisk FactorsAntimicrobial resistanceLogistic regressionMicrobiological characteristicsPeritoneal dialysisPeritoneal dialysis–associated peritonitisRisk factors

Identifiers

PMID41501722
PMCPMC12870372

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