Prediction Model for Pregnancy Success in IVF Program in the Poor Prognosis Group

Abstract

Introduction: An increase in the incidence of Urinary tract infections due to Candida species has been observed. The higher rate of Candiduria due to Non albicans Candida is now being reported than due to Candida albicans.The emergence of drug resistance in Candida species has complicated the patient management. Aim: to observe the prevalence of Candida species in UTIs and their antifungal susceptibility pattern in a tertiary care hospital. Materials and Methods: An observational study was conducted fora period of three months in NIMS, Jaipur. Symptomatic patients belonging to all age groups were included in the study. Catheterized or clean catch midstream urine were centrifuged and the sediment was plated on Sabouraud’s Dextrose Agar slants with and without Chloramphenicol. A wet mount preparation was also made and looked for the presence of pus cells, yeast cells, pseudohyphae, etc. Yeast were identified by using germ tube, Chromogenic agar, chlamydospore formation and carbohydrate assimilation tests. Antifungalsusceptibility testing was performed on Muller Hinton Methylene Blue Agar. Result: The Candida species were isolated in only 24 (4.8%) samples. Only 8 cases yielded Candida albicans(33.33%). The highest cases were found to be of Candida tropicalis (n=14) while remaining two cases has growth of Candida krusai (n=1) and Candida glabrata (n=1). Keywords: Infertility, prediction model, In Vitro Fertilization, Logistic Regression, Endometrial Thickness, Poor Prognosis, Clinical Pregnancy