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362. Species Distribution and Trends of Invasive Candidiasis in the United States, 2009–2015, Using a Large Electronic Medical Record Database
BACKGROUND: While 50% of invasive candidiasis (IC) has historically been caused by C. albicans, the changing epidemiology and rise in drug-resistant Candida necessitates understanding the contribution of specific Candida species to IC. To date, species and site-specific trends in IC have not been re...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255070/ http://dx.doi.org/10.1093/ofid/ofy210.373 |
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author | Ricotta, Emily Lai, Yi Ling Kadri, Sameer S Lionakis, Michail Prevots, D Rebecca Adjemian, Jennifer |
author_facet | Ricotta, Emily Lai, Yi Ling Kadri, Sameer S Lionakis, Michail Prevots, D Rebecca Adjemian, Jennifer |
author_sort | Ricotta, Emily |
collection | PubMed |
description | BACKGROUND: While 50% of invasive candidiasis (IC) has historically been caused by C. albicans, the changing epidemiology and rise in drug-resistant Candida necessitates understanding the contribution of specific Candida species to IC. To date, species and site-specific trends in IC have not been reported on a large scale using US clinical data. METHODS: Using the Cerner Health Facts electronic health record (EHR) dataset, inpatient hospitalizations with any Candida spp. isolated from blood or a sterile site (SS) (abdominal or other) were identified from 2009 to 2015. Patient characteristics were described by species. Significant relationships (P ≤ 0.05) were assessed using chi-squared or exact binomial tests. Annual percent change in IC incidence by site and species were assessed via Poisson regression. RESULTS: Overall, 19,310 Candida isolates from 10,313 patients were identified. Of these, 46% of isolates were C. albicans, 22% C. glabrata, 14% C. parapsilosis, 7% C. tropicalis, and 11% other/unspeciated; no C. auris infections were identified. The overall incidence of IC was 99 cases/100,000 patients. Compared with C. albicans, isolation of other species was 35% more frequent from blood, and 43% and 30% less frequent from non-blood abdominal and non-abdominal SSs, respectively (Table 1). Total IC increased by 1% (95% CI = 0.2–2%) annually; while abdominal and SS IC significantly increased by 6% (4–8%) and 11% (9–13%) per year, respectively, candidemia decreased significantly by 4.5% (3–6%) annually. Among C. albicansinfections candidemia decreased by 6.5% (5–8%) annually, while abdominal (5%, 3–8%) and other SS infections (10%, 7–13%) increased (Figure 1). Candidemia incidence remained unchanged for the other species. SS infections increased for every species, and abdominal infections increased for all but C. parapsilosis (Figure 2). CONCLUSION: In this first large-scale study on trends in IC using US hospital EHR data, the species distribution of IC isolates varied between blood and non-blood SSs. The incidence of candidemia is decreasing, but not for potentially drug-resistant species such as C. glabrata, which continue to pose treatment challenges. This work was supported in part by the Division of Intramural Research, NIAID, NIH [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-6255070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62550702018-11-28 362. Species Distribution and Trends of Invasive Candidiasis in the United States, 2009–2015, Using a Large Electronic Medical Record Database Ricotta, Emily Lai, Yi Ling Kadri, Sameer S Lionakis, Michail Prevots, D Rebecca Adjemian, Jennifer Open Forum Infect Dis Abstracts BACKGROUND: While 50% of invasive candidiasis (IC) has historically been caused by C. albicans, the changing epidemiology and rise in drug-resistant Candida necessitates understanding the contribution of specific Candida species to IC. To date, species and site-specific trends in IC have not been reported on a large scale using US clinical data. METHODS: Using the Cerner Health Facts electronic health record (EHR) dataset, inpatient hospitalizations with any Candida spp. isolated from blood or a sterile site (SS) (abdominal or other) were identified from 2009 to 2015. Patient characteristics were described by species. Significant relationships (P ≤ 0.05) were assessed using chi-squared or exact binomial tests. Annual percent change in IC incidence by site and species were assessed via Poisson regression. RESULTS: Overall, 19,310 Candida isolates from 10,313 patients were identified. Of these, 46% of isolates were C. albicans, 22% C. glabrata, 14% C. parapsilosis, 7% C. tropicalis, and 11% other/unspeciated; no C. auris infections were identified. The overall incidence of IC was 99 cases/100,000 patients. Compared with C. albicans, isolation of other species was 35% more frequent from blood, and 43% and 30% less frequent from non-blood abdominal and non-abdominal SSs, respectively (Table 1). Total IC increased by 1% (95% CI = 0.2–2%) annually; while abdominal and SS IC significantly increased by 6% (4–8%) and 11% (9–13%) per year, respectively, candidemia decreased significantly by 4.5% (3–6%) annually. Among C. albicansinfections candidemia decreased by 6.5% (5–8%) annually, while abdominal (5%, 3–8%) and other SS infections (10%, 7–13%) increased (Figure 1). Candidemia incidence remained unchanged for the other species. SS infections increased for every species, and abdominal infections increased for all but C. parapsilosis (Figure 2). CONCLUSION: In this first large-scale study on trends in IC using US hospital EHR data, the species distribution of IC isolates varied between blood and non-blood SSs. The incidence of candidemia is decreasing, but not for potentially drug-resistant species such as C. glabrata, which continue to pose treatment challenges. This work was supported in part by the Division of Intramural Research, NIAID, NIH [Image: see text] [Image: see text] [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6255070/ http://dx.doi.org/10.1093/ofid/ofy210.373 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Ricotta, Emily Lai, Yi Ling Kadri, Sameer S Lionakis, Michail Prevots, D Rebecca Adjemian, Jennifer 362. Species Distribution and Trends of Invasive Candidiasis in the United States, 2009–2015, Using a Large Electronic Medical Record Database |
title | 362. Species Distribution and Trends of Invasive Candidiasis in the United States, 2009–2015, Using a Large Electronic Medical Record Database |
title_full | 362. Species Distribution and Trends of Invasive Candidiasis in the United States, 2009–2015, Using a Large Electronic Medical Record Database |
title_fullStr | 362. Species Distribution and Trends of Invasive Candidiasis in the United States, 2009–2015, Using a Large Electronic Medical Record Database |
title_full_unstemmed | 362. Species Distribution and Trends of Invasive Candidiasis in the United States, 2009–2015, Using a Large Electronic Medical Record Database |
title_short | 362. Species Distribution and Trends of Invasive Candidiasis in the United States, 2009–2015, Using a Large Electronic Medical Record Database |
title_sort | 362. species distribution and trends of invasive candidiasis in the united states, 2009–2015, using a large electronic medical record database |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255070/ http://dx.doi.org/10.1093/ofid/ofy210.373 |
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