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Secular Trends in the Epidemiology of Nosocomial Fungal Infections at a Teaching Hospital in Taiwan, 1981 to 1993
Abstract
Objective: To describe the incidence and patterns of nosocomial fungal infection in a large teaching hospital in Taiwan. Design: Prospective, hospitalwide nosocomial surveillance data from 1981 through 1993 were analyzed to show the secular trend in nosocomial fungal infection rates and to identify the most common pathogens and sites of infection (other than skin) in this hospital. Setting and Patients: The National Taiwan University Hospital is a medical school-affiliated hospital in the city of Taipei, Taiwan, with a 1,200-bed capacity before 1991 and 1,500 beds since 1992. It provides both primary and tertiary medical care. Results: The overall nosocomial fungal infection rate rose from 0.9 infections per 1,000 discharges in 1981 to 6.6 per 1,000 discharges in 1993, with the highest rate at the medical intensive-care unit (26.5/1,000 discharges in 1993). This increase in infection rate was found at four major anatomic sites of infection, particularly including the bloodstream (0.08-2.19/1,000 discharges) and the urinary tract (0.36-2.95/1,000 discharges). Of 256 pathogens causing nosocomial fungemia from 1981 through 1993, Candida albicans was the most commonly isolated (50.8%), followed by Candida tropicalis (17.6%), Candida parapsilosis (11.7%), and Candida glabrata (8.2%). As compared to isolates from 1981 through 1988, the proportion of C parapsilosis and C glabrata isolated between 1989 and 1993 increased more than sixfold and fourfold, respectively. The increasing importance of fungal infections was confirmed further by the increased use of amphotericin B and azoles in this hospital. Conclusions: Candida species and other yeasts have become a prominent cause of nosocomial infections in this hospital. These fungal pathogens accounted for a higher proportion of nosocomial bloodstream and urinary infections than any single bacterial species. Therefore, it is important to conduct a prospective epidemiological study and to establish in vitro antifungal susceptibility testing to enhance efforts to control nosocomial fungal infections and to minimize the risk of emergence of antifungal resistance.
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“A similar evolution was observed in Asia [18].”
From Epidemiology of Candidemia in Swiss Tertiary Care Hospitals: Secular Trends, 1991–2000 (2004) · cites this paper as [18]
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Metadata
- Authors
- Nettleman, M. D., Chen, Y.-C., Chang, S.-C., Sun, C.-C., Yang, L.-S., Hsieh, W.-C., & Luh, K.-T.
- Affiliations
- National Taiwan University Hospital (TW)
- Venue
- Infection Control & Hospital Epidemiology
- Publisher
- Cambridge University Press (CUP)
- Published
- 1997-05
- Volume
- 18
- Issue
- 5
- Pages
- 369-375
- ISSN
- 0899-823X (ISSN-L)
- 1559-6834
- OpenAlex
- W2071176269
- Cited by
- 88
- References
- 45
- Citations by year
- 2021: 1 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 3 · 2012: 4
- FWCI
- 2.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Infection Control and Hospital Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
- Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Nosocomial Infections in ICU
- Keywords
- nosocomial fungal infections, secular trends, Candida parapsilosis, Candida glabrata, Candida albicans, Candida tropicalis, bloodstream infection, urinary tract infection, intensive care unit, antifungal susceptibility, antifungal prophylaxis, amphotericin B, azoles, teaching hospitals, Taiwan, antifungal resistance
- MeSH terms
- Antifungal Agents, Candida, Candidiasis, Cross Infection, Hospitals, University, Humans, Mycoses, Population Surveillance, Prospective Studies, Respiratory Tract Infections, Surgical Wound Infection, Taiwan, Urinary Tract Infections, Incidence, 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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.