Assessment of the association between HIV viral load and CD4 cell count on the occurrence of oropharyngeal candidiasis in HIV-infected patients.
BACKGROUND
Oropharyngeal candidiasis (OPC) is the most frequently observed oral infection in HIV-infected individuals. Historically, lower CD4 counts have been associated with an increased prevalence of OPC in HIV-infected patients, but HIV viral load has also recently been recognized as a possible predictive factor.


OBJECTIVE
We examined the impact of viral load and blood CD4 cell count on the occurrence of OPC using modern exploratory statistical analyses.


METHODS
The exploratory and inferential methods of classification and regression trees (CARTs) and logistic regression were used to compare the impact of viral load and CD4 cell counts on OPC status in 161 HIV-infected individuals from an outpatient clinic population in New Orleans.


RESULTS
The use of stepwise logistic regression and CART to classify individual OPC status both identified viral load as the most important covariate, followed by CD4 cells counts. Age, sex, and highly active antiretroviral therapy use were also found to be associated with OPC status.


CONCLUSIONS
These data strongly suggest that low viral load distinguishes those not at risk for OPC with high viral load, which also includes a heterogeneous set of predictors for OPC status, has the highest impact on OPC classification.
Mercante
Donald E
DE
Center of Excellence in Oral and Craniofacial Biology, Louisiana State University Health Sciences Center and School of Dentistry, New Orleans, 70119, USA. dmerca@lsuhsc.edu
Leigh
Janet E
JE
Lilly
Elizabeth A
EA
McNulty
Kelly
K
Fidel
Paul L
PL
D017088:AIDS-Related Opportunistic Infections / Q000209:etiology*; D000328:Adult; D000367:Age Factors; D019380:Anti-HIV Agents / Q000627:therapeutic use; D018791:CD4 Lymphocyte Count; D002180:Candidiasis, Oral / Q000209:etiology*; D005260:Female; D015658:HIV Infections / Q000150:complications* / Q000276:immunology / Q000821:virology; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012737:Sex Factors; D013223:Statistics as Topic; D014481:United States; D019562:Viral Load
D019380:Anti-HIV Agents