Incidence of oral candidiasis and oral hairy leukoplakia in HIV-infected adults in North Carolina. 2005

Amit Chattopadhyay, and Daniel J Caplan, and Gary D Slade, and Diane C Shugars, and Hsaio-Chuan Tien, and Lauren L Patton
Department of Informatics, School of Dentistry, Temple University, Philadelphia, PA, USA.

OBJECTIVE To establish incidence rates and risk factors for HIV-associated oral candidiasis (OC), oral hairy leukoplakia (OHL), and any HIV-associated oral diseases (HIV-OD). METHODS This prospective, cumulative case-control study followed 283 initially oral disease-free HIV-1-infected men and women for 2 years. Incidence rate ratios (IRR) and incidence proportions for OC, OHL, and HIV-OD were estimated. Multivariable analyses using Poisson regression determined the most parsimonious best-fitting model explaining the outcomes. RESULTS Incidence rate (per 1000 person-months) was 9.3 for OC, 6.8 for OHL, and 13.5 for HIV-OD. Incidence of OC was associated with low CD4 count (adjusted IRR = 3.0 (95% CI = 1.7, 5.1)), smoking (IRR = 1.9 (1.0, 3.8)) and combination antiretroviral therapy (IRR = 0.3 (0.1, 0.8)). Incidence of OHL was associated with low CD4 count, conditional upon smoking status. Conclusions Low CD4 count and smoking are important risk factors for HIV-associated OC and OHL. Antiretroviral medications are protective for OC but not for OHL.

UI MeSH Term Description Entries
D008297 Male Males
D009657 North Carolina State bounded on the north by Virginia, on the east and Southeast by the Atlantic Ocean, on the south by Georgia and South Carolina, and on the west by Tennessee.
D011446 Prospective Studies Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group. Prospective Study,Studies, Prospective,Study, Prospective
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002180 Candidiasis, Oral Infection of the mucous membranes of the mouth by a fungus of the genus CANDIDA. (Dorland, 27th ed) Moniliasis, Oral,Thrush,Candidiases, Oral,Moniliases, Oral,Oral Candidiases,Oral Candidiasis,Oral Moniliases,Oral Moniliasis
D005260 Female Females
D005500 Follow-Up Studies Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease. Followup Studies,Follow Up Studies,Follow-Up Study,Followup Study,Studies, Follow-Up,Studies, Followup,Study, Follow-Up,Study, Followup
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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