Commercial real time PCR implementation for rapid diagnosis of onychomycosis: A new workflow in a clinical laboratory
Autor: | Francisca Pariente-Jiménez, Eva Cuchí-Burgos, M. Ballestero-Téllez, Josefa Pérez-Jové, Rosa Rubio-Casino, Ana Blanco-Suárez |
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Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Microbiology (medical) medicine.medical_specialty business.industry Arthrodermataceae 030106 microbiology Direct observation Real-Time Polymerase Chain Reaction medicine.disease_cause Sensitivity and Specificity Dermatology Prospective evaluation Workflow 03 medical and health sciences 0302 clinical medicine Real-time polymerase chain reaction Onychomycosis parasitic diseases Dermatophyte medicine Humans 030212 general & internal medicine Laboratories business |
Zdroj: | Enfermedades infecciosas y microbiologia clinica (English ed.). 39:326-329 |
ISSN: | 2529-993X |
DOI: | 10.1016/j.eimce.2020.05.019 |
Popis: | Introduction Onychomycosis is a frequent and underdiagnosed condition. Approximately 90% of toenail onychomycosis infections are caused by dermatophytes, but classical diagnosis based on culture and microscopy observation is slow and has low sensitivity. Both limitations can be solved incorporating molecular techniques to routine diagnosis of onychomycosis. Objective Prospective evaluation of the utility of incorporating in the clinical laboratory workflow a commercial real time PCR (qPCR) for dermatophytes detection in nails after potassium hydroxide direct observation screening. Materials and methods 152 nail samples were included (34 KOH negative and 118 KOH positive) and processed by culture and qPCR. Results In the negative KOH group, only one dermatophyte grew in culture and three were detected by qPCR. In the group of positive KOH, 57 dermatophytes grew in culture and 81 were detected by qPCR. In this group, 25% of diagnosed dermatophytes were detected only by qPCR. The sensitivity of qPCR compared to culture is 92.8% and time of response decreases from days to hours. Conclusion Based in our results, we propose a workflow algorithm for a clinical laboratory that eliminates culture for qPCR positive samples. |
Databáze: | OpenAIRE |
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