Effectiveness of Slit Skin Smear Versus Fite-Faraco Staining on Histopathology as a Method of Diagnosis in Leprosy - a Retrospective Hospital-Based Study

皮肤裂隙涂片法与Fite-Faraco染色法在麻风病组织病理学诊断中的有效性比较——一项回顾性医院研究

阅读:1

Abstract

INTRODUCTION: Although the prevalence of leprosy has significantly decreased in India, it has been still not eradicated, therefore necessitating ongoing efforts to raise awareness for its control. OBJECTIVES: To determine the diagnostic utility of slit skin smear (SSS) and Fite-Faraco stain (FFS) techniques on histopathology of skin and nerve biopsies for the diagnosis of leprosy in a tertiary care center. MATERIALS AND METHODS: The present cross-sectional study was carried out on patients clinically suspected to have leprosy consulting in a tertiary care center in Gujarat, India, from January 2022 to December 2024. Statistical analysis was done by using Statistical Package for Social Sciences (SPSS) version 21.0. Continuous variables were presented as mean and categorical variables as numbers and percentages (%). Comparative analysis between various parameters of test effectiveness by using FFS and SSS methods was done. RESULTS: The age of leprosy cases ranged from 18 to 60 years, with a mean age of 35.2 years. Male to female ratio was 5.5 to 1. Histopathologically lepromatous leprosy (61.6%) and multibacillary type based on World Health Organisation (WHO) classification (77%) were the most common forms of leprosy. When comparing the efficacy of SSS and FFS techniques on tissue sections, FFS was found to be more effective than SSS. CONCLUSION: Sufficient knowledge and clinical expertise, along with effective diagnostic techniques, prompt symptom reporting and heightened social awareness to mitigate the stigma associated with the condition from the patient's perspective, can collectively advance the nation towards the goal of leprosy eradication.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。