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.
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-infectedpatients, 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.
Authors: Theo S Plantinga; Omar J M Hamza; Janet A Willment; Bart Ferwerda; Nicole M D van de Geer; Paul E Verweij; Mecky I N Matee; Kathy Banahan; Luke A J O'neill; Bart-Jan Kullberg; Gordon D Brown; André J A M van der Ven; Mihai G Netea Journal: J Acquir Immune Defic Syndr Date: 2010-09 Impact factor: 3.731
Authors: George R Thompson; Payal K Patel; William R Kirkpatrick; Steven D Westbrook; Deborah Berg; Josh Erlandsen; Spencer W Redding; Thomas F Patterson Journal: Oral Surg Oral Med Oral Pathol Oral Radiol Endod Date: 2010-02-13
Authors: Liliane Taverne-Ghadwal; Martin Kuhns; Timo Buhl; Marco H Schulze; Weina Joseph Mbaitolum; Lydia Kersch; Michael Weig; Oliver Bader; Uwe Groß Journal: Front Microbiol Date: 2022-02-17 Impact factor: 5.640