Application of Principal Component Analysis as a Prediction Model for Feline Sporotrichosis.

ABSTRACT: Sporotrichosis is a worldwide zoonotic disease that is spreading and causing epidemics in large urban centers. Cats are the most susceptible species to develop the disease, which could cause significant systemic lesions. The aim was to investigate and to identify predictive indicators of disease progression by correlations between the blood profile (hematological and biochemical analytes) and cutaneous lesion patterns of 70 cats diagnosed with Sporothrix brasiliensis. The higher occurrence in male cats in this study could be related to being non-neutered and having access to open spaces. Principal component analysis (PCA) with two principal components, followed by binary logistic regression, and binary logistic regression analysis, with independent variables and backward elimination

SUBMITTER: Pegoraro FB 

PROVIDER: S-EPMC11768719 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature