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Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017–2020 retrospective analysis

BACKGROUND: Bloodstream infections caused by Candida species are responsible for significant morbidity and mortality worldwide, with an ever-changing epidemiology. We conducted this study to assess trends in the epidemiologic features, risk factors and Candida species distribution in candidemia pati...

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Autores principales: Meyahnwi, Didien, Siraw, Bekure B., Reingold, Arthur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652840/
https://www.ncbi.nlm.nih.gov/pubmed/36371155
http://dx.doi.org/10.1186/s12879-022-07848-8
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author Meyahnwi, Didien
Siraw, Bekure B.
Reingold, Arthur
author_facet Meyahnwi, Didien
Siraw, Bekure B.
Reingold, Arthur
author_sort Meyahnwi, Didien
collection PubMed
description BACKGROUND: Bloodstream infections caused by Candida species are responsible for significant morbidity and mortality worldwide, with an ever-changing epidemiology. We conducted this study to assess trends in the epidemiologic features, risk factors and Candida species distribution in candidemia patients in Alameda County, California. METHODS: We analyzed data collected from patients in Alameda County, California between 2017 and 2020 as part of the California Emerging Infections Program (CEIP). This is a laboratory-based, active surveillance program for candidemia. In our study, we included incident cases only. RESULTS: During the 4-year period from January 1st, 2017, to December 31st, 2020, 392 incident cases of candidemia were identified. The mean crude annual cumulative incidence was 5.9 cases per 100,000 inhabitants (range 5.0–6.5 cases per 100,000 population). Candida glabrata was the most common Candida species and was present as the only Candida species in 149 cases (38.0%), followed by Candida albicans, 130 (33.2%). Mixed Candida species were present in 13 patients (3.3%). Most of the cases of candidemia occurred in individuals with one or more underlying conditions. Multivariate regression models showed that age ≥ 65 years (RR 1.66, CI 1.28–2.14), prior administration of systemic antibiotic therapy, (RR 1.84, CI 1.06–3.17), cirrhosis of the liver, (RR 2.01, CI 1.51–2.68), and prior admission to the ICU (RR1.82, CI 1.36–2.43) were significant predictors of mortality. CONCLUSIONS: Non-albicans Candida species currently account for the majority of candidemia cases in Alameda County. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07848-8.
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spelling pubmed-96528402022-11-15 Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017–2020 retrospective analysis Meyahnwi, Didien Siraw, Bekure B. Reingold, Arthur BMC Infect Dis Research BACKGROUND: Bloodstream infections caused by Candida species are responsible for significant morbidity and mortality worldwide, with an ever-changing epidemiology. We conducted this study to assess trends in the epidemiologic features, risk factors and Candida species distribution in candidemia patients in Alameda County, California. METHODS: We analyzed data collected from patients in Alameda County, California between 2017 and 2020 as part of the California Emerging Infections Program (CEIP). This is a laboratory-based, active surveillance program for candidemia. In our study, we included incident cases only. RESULTS: During the 4-year period from January 1st, 2017, to December 31st, 2020, 392 incident cases of candidemia were identified. The mean crude annual cumulative incidence was 5.9 cases per 100,000 inhabitants (range 5.0–6.5 cases per 100,000 population). Candida glabrata was the most common Candida species and was present as the only Candida species in 149 cases (38.0%), followed by Candida albicans, 130 (33.2%). Mixed Candida species were present in 13 patients (3.3%). Most of the cases of candidemia occurred in individuals with one or more underlying conditions. Multivariate regression models showed that age ≥ 65 years (RR 1.66, CI 1.28–2.14), prior administration of systemic antibiotic therapy, (RR 1.84, CI 1.06–3.17), cirrhosis of the liver, (RR 2.01, CI 1.51–2.68), and prior admission to the ICU (RR1.82, CI 1.36–2.43) were significant predictors of mortality. CONCLUSIONS: Non-albicans Candida species currently account for the majority of candidemia cases in Alameda County. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07848-8. BioMed Central 2022-11-12 /pmc/articles/PMC9652840/ /pubmed/36371155 http://dx.doi.org/10.1186/s12879-022-07848-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Meyahnwi, Didien
Siraw, Bekure B.
Reingold, Arthur
Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017–2020 retrospective analysis
title Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017–2020 retrospective analysis
title_full Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017–2020 retrospective analysis
title_fullStr Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017–2020 retrospective analysis
title_full_unstemmed Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017–2020 retrospective analysis
title_short Epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in Alameda County, California; a 2017–2020 retrospective analysis
title_sort epidemiologic features, clinical characteristics, and predictors of mortality in patients with candidemia in alameda county, california; a 2017–2020 retrospective analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652840/
https://www.ncbi.nlm.nih.gov/pubmed/36371155
http://dx.doi.org/10.1186/s12879-022-07848-8
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