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Risk factors for candidemia: A case–control study
Background: Candida bloodstream infections (candidemia) have significant mortality and morbidity rates, as well as healthcare cost implications. Emerging multidrug-resistant Candida spp such as Candida auris, as well as increasing resistance among non–albicans species, which are becoming more preval...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614938/ http://dx.doi.org/10.1017/ash.2022.164 |
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author | Erayil, Serin Edwin Tessier, Katelyn Kline, Susan |
author_facet | Erayil, Serin Edwin Tessier, Katelyn Kline, Susan |
author_sort | Erayil, Serin Edwin |
collection | PubMed |
description | Background: Candida bloodstream infections (candidemia) have significant mortality and morbidity rates, as well as healthcare cost implications. Emerging multidrug-resistant Candida spp such as Candida auris, as well as increasing resistance among non–albicans species, which are becoming more prevalent, also raise concern. Understanding the epidemiology of this infection could enhance prevention and management efforts. We studied risk factors for candidemia. Methods: This matched case–control study was conducted at a university hospital from December 2019 through May 2021. Cases of candidemia were identified using positive blood-culture results. Controls were matched 5:1 to cases by age, sex, and month and year of admission. Risk factors of interest included total parenteral nutrition (TPN), central venous access (CVA), neutropenia, Clostridium difficile, pancreatic disease, Candida in urine culture, cancer, invasive procedures, H(2) blockers, chemotherapy, antibiotic use, immunosuppression, and antifungal use. Bivariate conditional logistic regression models were used to study the association of individual factors with candidemia. Multivariable conditional logistic regression models were performed using factors with a P Results: Overall, 101 patients with candidemia and 505 matched controls were included. In the bivariate analysis, associations were detected between candidemia and TPN, CVA, pancreatic disease, invasive procedures, H(2) blocker use, antibiotic use, and antifungal use (all Ps Conclusions: Associations of candidemia with recent antifungal use and pancreatic disease were relatively novel findings. Neutropenia was not an independent risk factor for candidemia in this study. Future directions include further evaluations of previous antifungal use in patients with candidemia to identify opportunities for possible intervention and antifungal stewardship. Funding: None Disclosures: None |
format | Online Article Text |
id | pubmed-9614938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96149382022-10-29 Risk factors for candidemia: A case–control study Erayil, Serin Edwin Tessier, Katelyn Kline, Susan Antimicrob Steward Healthc Epidemiol Other Background: Candida bloodstream infections (candidemia) have significant mortality and morbidity rates, as well as healthcare cost implications. Emerging multidrug-resistant Candida spp such as Candida auris, as well as increasing resistance among non–albicans species, which are becoming more prevalent, also raise concern. Understanding the epidemiology of this infection could enhance prevention and management efforts. We studied risk factors for candidemia. Methods: This matched case–control study was conducted at a university hospital from December 2019 through May 2021. Cases of candidemia were identified using positive blood-culture results. Controls were matched 5:1 to cases by age, sex, and month and year of admission. Risk factors of interest included total parenteral nutrition (TPN), central venous access (CVA), neutropenia, Clostridium difficile, pancreatic disease, Candida in urine culture, cancer, invasive procedures, H(2) blockers, chemotherapy, antibiotic use, immunosuppression, and antifungal use. Bivariate conditional logistic regression models were used to study the association of individual factors with candidemia. Multivariable conditional logistic regression models were performed using factors with a P Results: Overall, 101 patients with candidemia and 505 matched controls were included. In the bivariate analysis, associations were detected between candidemia and TPN, CVA, pancreatic disease, invasive procedures, H(2) blocker use, antibiotic use, and antifungal use (all Ps Conclusions: Associations of candidemia with recent antifungal use and pancreatic disease were relatively novel findings. Neutropenia was not an independent risk factor for candidemia in this study. Future directions include further evaluations of previous antifungal use in patients with candidemia to identify opportunities for possible intervention and antifungal stewardship. Funding: None Disclosures: None Cambridge University Press 2022-05-16 /pmc/articles/PMC9614938/ http://dx.doi.org/10.1017/ash.2022.164 Text en © The Society for Healthcare Epidemiology of America 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Other Erayil, Serin Edwin Tessier, Katelyn Kline, Susan Risk factors for candidemia: A case–control study |
title | Risk factors for candidemia: A case–control study |
title_full | Risk factors for candidemia: A case–control study |
title_fullStr | Risk factors for candidemia: A case–control study |
title_full_unstemmed | Risk factors for candidemia: A case–control study |
title_short | Risk factors for candidemia: A case–control study |
title_sort | risk factors for candidemia: a case–control study |
topic | Other |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614938/ http://dx.doi.org/10.1017/ash.2022.164 |
work_keys_str_mv | AT erayilserinedwin riskfactorsforcandidemiaacasecontrolstudy AT tessierkatelyn riskfactorsforcandidemiaacasecontrolstudy AT klinesusan riskfactorsforcandidemiaacasecontrolstudy |