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

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

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Veröffentlicht in:	PloS one 2022-05, Vol.17 (5), p.e0268823-e0268823
Hauptverfasser:	Kanjanabuch, Talerngsak, Nopsopon, Tanawin, Chatsuwan, Tanittha, Purisinsith, Sirirat, Johnson, David W, Udomsantisuk, Nibondh, Halue, Guttiga, Lorvinitnun, Pichet, Puapatanakul, Pongpratch, Pongpirul, Krit, Poonvivatchaikarn, Ussanee, Tatiyanupanwong, Sajja, Chowpontong, Saowalak, Chieochanthanakij, Rutchanee, Thamvichitkul, Oranan, Treamtrakanpon, Worapot, Saikong, Wadsamon, Parinyasiri, Uraiwan, Chuengsaman, Piyatida, Dandecha, Phongsak, Perl, Jeffrey, Tungsanga, Kriang, Eiam-Ong, Somchai, Sritippayawan, Suchai, Kantachuvesiri, Surasak
Format:	Artikel
Sprache:	eng
Schlagworte:	Antifungal agents Antifungal Agents - therapeutic use Biology and Life Sciences Care and treatment Catheters Cell walls Clinical outcomes Cohort Studies Complications and side effects Confidence intervals Data collection Dermatomycoses Diagnosis Dialysate Dialysis Engineering and Technology Fungal infections Fungi Fungicides Health hazards Hemoglobin Humans Infections Kidney Failure, Chronic - therapy Laboratories Medical instruments Medicine and Health Sciences Mold Morphology Mortality Mycoses - therapy Organisms Pathogens Patient outcomes Patients Peritoneal dialysis Peritoneal Dialysis - adverse effects Peritoneum Peritonitis Peritonitis - etiology Peritonitis - microbiology Rainy season Rank tests Regression models Retrospective Studies Statistical analysis Statistical models Surveillance Survival Yeasts
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Zusammenfassung:	We sought to evaluate the predictors and outcomes of mold peritonitis in patients with peritoneal dialysis (PD). 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. 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
ISSN:	1932-6203 1932-6203
DOI:	10.1371/journal.pone.0268823