Analysis of vaginal candida species and drug susceptibility in female patients in Wuxi area from 2018 to 2020
Objective To analyze the candida species and drug resistance detected in vaginal secretions of female patients in Wuxi area,and to preliminarily understand the changes of candida species and drug resistance of female patients in Wuxi area in recent years,so as to provide a reference for rational clinical rational antifungal treatment.Methods Vaginal secretions of patients who were cultured with vaginal secretions and identified as positive candida in Wuxi Maternal and Child Health Hospital from January 2018 to December 2020 were retrospectively analyzed to explore the change trend and drug resistance of fungal species in recent years.Results From 2018 to 2020,2,963,3,499 and 3,274 strains of candida were detected,among which 2,329(78.6%),2,687(76.8%),and 2,467(75.3%)were candida albicans.Through the drug sensitivity results of candida,it was found that the antibacterial drugs with the highest drug resistance rate to candida were econazole and miconazole,and the antibacterial drugs with the lowest drug resistance rate were nysatin and amphotericin B,and almost no drug-resistant strains were found.Conclusions Candida albicans is the main pathogenic bacteria of fungal vaginitis.The proportion of candida albicans and candida krusei decreased year by year,while the proportion of tropical yeast and smooth yeast increased year by year.The drug resistance condition of candida infected with reproductive tract to several commonly used antimicrobial drugs becomes increasingly prominent.Among them,candida tropicalis,candida glabrata and candida krusei show high resistance to several commonly used antifungal drugs.These are an urgent need to reduce the empirical clinical drug use,personalized treatments should be provided in combination with drug sensitivity results,antibiotics should be used rationally,and multiple antibiotics should be used in combination when necessary,so as to slow the production rate of drug-resistant strains.
NETL
NSTL
万方数据
维普
