Antifungal Resistance Profile of Fungal Isolates from Fungal Rhinosinusitis Patients: A Study from Tertiary Care Hospital

Author:

Sriramajayam Lavanya12ORCID,Kaur Ravinder13,Dhakad Megh Singh13,Gulati Achal4

Affiliation:

1. Department of Microbiology, Maulana Azad Medical College, New Delhi, India

2. Department of Microbiology, PSG Institute of Medical Sciences and Research, Coimbatore, Tamil Nadu, India

3. Department of Microbiology, Lady Hardinge Medical College & Associated Hospitals, New Delhi, India

4. Department of ENT, Maulana Azad Medical College & Associated Hospitals, New Delhi, India

Abstract

Abstract Objective Fungal rhinosinusitis is on the rise worldwide and it is endemic especially in North India. The main purpose of this study was to determine the antifungal resistance profile of fungal isolates from the cases of fungal rhinosinusitis. Methods Antifungal susceptibility testing of isolated fungi to fluconazole, amphotericin B, itraconazole, and voriconazole was determined by standard CLSI broth microdilution method. Results Sixty-eight fungal isolates of Aspergillus spp. (n = 49), Rhizopus spp. (n = 9), Candida spp. (n = 4), Penicillium spp. (n = 2), Mucor spp. (n = 2), Bipolaris spp. (n = 1), and Alternaria spp. (n = 1) were obtained from 60 different clinical samples as exudate from nasal mucosa (n = 28), allergic mucin (n = 8), nasal lavage (n = 2), tissue biopsy from nasal polyps (n = 14), and intraoperative nasal mucosa (n = 8). Of the 68 isolates, 75% were resistant to fluconazole, 13.23% were resistant to itraconazole, 2.94% to amphotericin B, and none were resistant to voriconazole. Aspergillus flavus (5%) was the only fungi found resistant to amphotericin B, while against itraconazole, A. flavus (7.5%) and A. niger (100%) were found resistant. All the isolates of A. flavus, A. fumigatus, A. niger, and Penicillium spp. were resistant to fluconazole. Conclusion Although amphotericin B stills remains to be the most effective drug, more prospective studies are needed for the requirement of knowledge of the sensitivity pattern for optimal treatment and reduction in morbidity in the long run.

Publisher

Scientific Scholar

Subject

Pharmacology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3