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Cited by 242

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Estimation of the Prevalence of Cryptococcal Infection Among Patients Infected with the Human Immunodeficiency Virus in New York City

Currie, B. P., Casadevall, A.·1994·Clinical Infectious Diseases

Abstract

Cryptococcal infections are not reportable illnesses, and there have been limited attempts to estimate their incidence or prevalence. This study estimates the prevalence of cryptococcal disease in New York City in 1991 among human immunodeficiency virus (HIV)-infected patients who were at risk. Numerator data were generated by surveying all hospitals in New York City to determine the number of patients with cultures positive for Cryptococcus neoformans as well as the number of patients with positive cryptococcal latex agglutination tests in 1991; 517 culture-positive patients were identified, and 1,277 patients were estimated to have a positive cryptococcal latex antigen test. Of these cases, 96% were estimated to be related to infection with HIV. Denominator data were generated via an active surveillance program of the New York City Department of Health. The annual prevalence of cryptococcosis among HIV-infected patients at risk in New York City is estimated to be 6.1%-8.5%.

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Metadata

Authors
Currie, B. P., & Casadevall, A.
Venue
Clinical Infectious Diseases
Published
1994-12-01
Volume
19
Issue
6
Pages
1029-1033
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2106052007
Cited by
242
References
0
FWCI
14.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimation of the Prevalence of Cryptococcal Infection Among Patients Infected with the Human Immunodeficiency Virus in New York City. https://app.cochat.ai/papers/10.1093/clinids/19.6.1029
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Currie, B. P., & Casadevall, A. (1994). Estimation of the Prevalence of Cryptococcal Infection Among Patients Infected with the Human Immunodeficiency Virus in New York City. Clinical Infectious Diseases. https://doi.org/10.1093/clinids/19.6.1029

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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.