Cited by 22Fungal Infections and StudiesActinomycetales infections and treatmentSarcoidosis and Beryllium Toxicity Research

Risk factors for primary pulmonary coccidioidomycosis hospitalizations among United States Navy and Marine Corps personnel, 1981–1994

Gray, G C, Fogle, E F, Albright, K L·1998·The American journal of tropical medicine and hygiene

Abstract

Recent coccidioidomycosis outbreaks among military personnel have alarmed public health officials. We used computerized hospitalization records to identify risk factors for coccidioidomycosis hospitalizations among active-duty United States Navy and Marine Corps personnel for the years 1981 to 1994. Primary pulmonary disease was the most common form of disease, accounting for 82 (73%) of the 113 first admissions. Crude annual rates of primary pulmonary disease increased markedly in 1992 and 1993 in concert with an epidemic in the United States. Demographic data from the pulmonary admissions were combined with that of a 2% random sample of the entire Navy and Marine Corps population for multivariate risk factor modeling. Persons from junior paygrades, older age groups, and those reporting a race/ethnicity other than Caucasian or Hispanic were most likely to be hospitalized with this disease. These risk factor data should be considered in designing coccidioidomycosis surveillance and prevention programs.

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Crossref · 10.4269/ajtmh.1998.58.309

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17 of 17 references verified0 citation errors · 0 not checkable

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  • The odds of disseminated coccidioidomycosis disease are as high as 5 to 10 times the rates seen among white individuals.

    “with several reports alluding that black or African American individuals have the highest associated mortality, dissemination, and hospitalizations, with odds of disseminated disease as high as 5 to 10 times the rates seen among the white individuals [137,152–155]”

    From Race and ethnicity: Risk factors for fungal infections? (2023) · cites this paper as [152]

  • Black or African American and Filipino individuals are at a higher risk compared with white individuals of hospitalization from pulmonary coccidioidomycosis.

    “Black or African American and Filipino individuals were reported to be at a higher risk compared with white individuals of hospitalization from pulmonary coccidioidomycosis [152]”

    From Race and ethnicity: Risk factors for fungal infections? (2023) · cites this paper as [152]

  • Black or African American individuals have the highest associated mortality, dissemination, and hospitalizations from coccidioidomycosis.

    “with several reports alluding that black or African American individuals have the highest associated mortality, dissemination, and hospitalizations, with odds of disseminated disease as high as 5 to 10 times the rates seen among the white individuals [137,152–155]”

    From Race and ethnicity: Risk factors for fungal infections? (2023) · cites this paper as [152]

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Authors
Gray, G. C., Fogle, E. F., & Albright, K. L.
Affiliations
Naval Health Research Center (US)
Venue
The American journal of tropical medicine and hygiene
Published
1998-03
Volume
58
Issue
3
Pages
309-312
ISSN
0002-9637 (ISSN-L)
OpenAlex
W2111906843
Cited by
22
References
18
Citations by year
2024: 1 · 2023: 1 · 2020: 1 · 2016: 1 · 2013: 1 · 2012: 2
FWCI
0.61
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Tropical Medicine and Hygiene (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Epidemiology › Fungal Infections and Studies
  • Health Sciences › Medicine › Microbiology › Actinomycetales infections and treatment
  • Health Sciences › Medicine › Physiology › Sarcoidosis and Beryllium Toxicity Research
Keywords
coccidioidomycosis, military personnel, risk factors, hospitalization, United States Navy, United States Marine Corps, pay scales, age, race and ethnicity
MeSH terms
Adolescent, Adult, Age Factors, Coccidioidomycosis, Female, Hospitalization, Humans, Lung Diseases, Fungal, Male, Middle Aged, Military Personnel, Risk Factors, Socioeconomic Factors, Time Factors, United States, Multivariate Analysis, Logistic Models, Odds Ratio

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