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Dataset Information

Predictors and outcomes of peritoneal dialysis-related infections due to filamentous molds (MycoPDICS).


ABSTRACT:

Introduction

We sought to evaluate the predictors and outcomes of mold peritonitis in patients with peritoneal dialysis (PD).

Methods

This cohort study included PD patients from the MycoPDICS database who had fungal peritonitis between July 2015-June 2020. Patient outcomes were analyzed by Kaplan Meier curves and the Log-rank test. Multivariable Cox proportional hazards model regression was used to estimating associations between fungal types and patients' outcomes.

Results

The study included 304 fungal peritonitis episodes (yeasts n = 129, hyaline molds n = 122, non-hyaline molds n = 44, and mixed fungi n = 9) in 303 patients. Fungal infections were common during the wet season (p <0.001). Mold peritonitis was significantly more frequent in patients with higher hemog

SUBMITTER: Kanjanabuch T 

PROVIDER: S-EPMC9129032 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature