Risk factors of oral candidosis: a twofold approach of study by fuzzy logic and traditional statistic.

Abstract

OBJECTIVE: To assess a panel of risk factors associated to oral candidosis (OC) onset and its chronic maintenance by means of fuzzy logic (FL) approach and statistical traditional methodology (STM); to investigate their casual relationship within a multifactorial framework. DESIGN: Case-control study. SETTING: One hospital-based clinic. PATIENTS: Eighty-nine patients with OC infection microbiologically diagnosed and 98 healthy subjects were consecutively recruited. OUTCOME MEASUREMENTS: Anamnestic and clinical evaluations for OC, microbiological assessment (i.e. culture, CFU/mL counting and identification) were performed. The commonest predisposing factors for OC onset and its chronic status were analysed by FL and STM. RESULTS: By means of a twofold analysis (FL and STM) significant associations between OC onset and its chronic maintenance were found with respect to denture wearing and hyposalivation/xerostomia, as local risk factors, and to age and female gender, as socio-demographical variables. Tobacco smoking was found not to be a risk factor. CONCLUSIONS: The twofold (FL and STM) statistical approach for the identification of OC risk factors has been found useful and accurate in individuating a more selected target population for OC onset and chronic maintenance. The target patient appears to be an elderly person with multiple disease inducing, directly or by medications, hyposalivation/xerostomia. This data could provide to general and dental practitioners a decision-making model finalised to their preventative strategies for the geriatric population.