Burden of early-onset candidemia: analysis of culture-positive bloodstream infections from a large U.S. database
Abstract
OBJECTIVES: : To characterize the epidemiology and burden of early-onset, nonnosocomial candidemia. DESIGN: : Retrospective review of Cardinal Health Outcomes Research Database, which comprises all acute care admissions at participating hospitals. SETTING: : A total of 176 acute care hospitals. PATIENTS: : All patients admitted from 2000 through 2005 who had early-onset bloodstream infection, defined as presence of both a positive blood culture drawn within 1 day before or within 48 hrs after hospital admission and an appropriate diagnostic code for infection. INTERVENTION: : None. MEASUREMENTS AND MAIN RESULTS: : To evaluate the impact of different pathogens on clinical and economic outcomes, we performed mixed-effect logistic and linear regression analyses and controlled for potential confounding factors. Of 64,307 early-onset bloodstream infections, 738 (1.2%) were positive for Candida. The rate of early-onset candidemia nearly doubled between 2000 and 2003 (p < .001) and then stabilized. Crude in-hospital mortality was higher for candidemia than for bacterial bloodstream infection (28.3% vs. 15.0%; p < .0001). Compared with patients with bacterial bloodstream infections, patients with candidemia were more likely to have been admitted within 30 days and to have been transferred from another healthcare facility. Compared with Gram-negative bacterial bloodstream infection and after controlling for other risk factors, candidemia was associated with increased mortality risk (odds ratio, 2.38; 95% confidence interval, 1.94-2.91; p < .0001), longer attributable hospital stay (4.8 days; 95% confidence interval, 4.1-5.5; p < .0001), and higher attributable hospital costs ($12,617; 95% confidence Interval, $10,755-$14,479; p < .0001). CONCLUSIONS: : Early-onset candidemia seems to be a distinct entity, which is increasing in frequency and is associated with increased mortality risk, longer hospital stay, and higher hospital costs relative to bacterial bloodstream infection.
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Current rates of Candida bloodstream infection are estimated at 25 to 30 per 100,000 persons.
“The shift in the epidemiology of this health care-associated infection has continued in the current decade, with rates now estimated to be between 25 and 30 per 100,000 persons.16,24”
From Fungal Sepsis: Optimizing Antifungal Therapy in the Critical Care Setting (2011) · cites this paper as [16]
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- Authors
- Shorr, A. F., Gupta, V., Sun, X., Johannes, R. S., Spalding, J., & Tabak, Y. P.
- Affiliations
- Astellas Pharma (United States) (US)
- Cardinal Health (United States) (US)
- Venue
- Critical Care Medicine
- Published
- 2009-09
- Volume
- 37
- Issue
- 9
- Pages
- 2519-2526
- ISSN
- 0090-3493 (ISSN-L)
- OpenAlex
- W2008234991
- Semantic Scholar
- 1748ed52f44bbc0bc4bdfebdf5bcf331c6459bff
- Cited by
- 62
- References
- 26
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 4 · 2017: 8 · 2016: 3 · 2015: 4 · 2014: 5 · 2013: 5 · 2012: 8
- FWCI
- 5.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Critical Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Cardinal Health
- Topics
- Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
- Health Sciences › Medicine › Epidemiology › Infective Endocarditis Diagnosis and Management
- Health Sciences › Medicine › Ophthalmology › Ocular Infections and Treatments
- Keywords
- bloodstream infection, Candida, in-hospital mortality, length of hospital stay, hospital costs, bacterial bloodstream infection, acute care hospitals
- MeSH terms
- Aged, Aged, 80 and over, Candidiasis, Female, Hospitalization, Humans, Male, Middle Aged, Retrospective Studies, Time Factors, United States, Databases, Factual, Fungemia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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