Literature DB >> 25683452

Comparison of diagnostic methods for onychomycosis, and proposal of a diagnostic algorithm.

M Y Jung1, J H Shim1, J H Lee1, J H Lee1, J M Yang1, D-Y Lee1, K-T Jang2, N Y Lee3, J-H Lee3, J-H Park4, K K Park5.   

Abstract

BACKGROUND: Traditionally, the gold standard for diagnosis of onychomycosis has been the combination of direct microscopy with potassium hydroxide (KOH) staining and fungal culture. However, several studies have suggested that periodic-acid-Schiff (PAS) staining of nail-plate clippings may be a very sensitive method for the diagnosis of onychomycosis. AIM: To compare the sensitivities of direct microscopy with KOH, fungal culture and PAS staining of nail-plate clippings, and to define an efficient, high-yield and cost-effective diagnostic strategy for the diagnosis of onychomycosis in the clinical setting.
METHODS: We evaluated a total of 493 patients with clinically suspected onychomycosis. Group A comprised 400 patient samples, evaluated using fungal culture and PAS stain, while group B comprised 93 patient samples evaluated using KOH, fungal culture and PAS. Diagnosis of onychomycosis was defined as clinical morphology plus at least one positive test result.
RESULTS: In group A, sensitivities of fungal culture and PAS were 49.5% and 93.1% (P < 0.005), respectively. In group B, the most sensitive single test was PAS (88.2%) followed by KOH (55.9%) and fungal culture (29.4%). The combination of fungal culture and PAS (94.1%) was significantly (P < 0.001) more sensitive than that of KOH and culture (72.1%).
CONCLUSION: PAS staining of nail clippings is much more sensitive than KOH and fungal culture for the diagnosis of onychomycosis. Based on our results, we propose a diagnostic algorithm for onychomycosis that takes into consideration the sensitivity, cost-effectiveness and necessary time for each test.
© 2015 British Association of Dermatologists.

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Year:  2015        PMID: 25683452     DOI: 10.1111/ced.12593

Source DB:  PubMed          Journal:  Clin Exp Dermatol        ISSN: 0307-6938            Impact factor:   3.470


  5 in total

1.  Automated detection of superficial fungal infections from microscopic images through a regional convolutional neural network.

Authors:  Taehan Koo; Moon Hwan Kim; Mihn-Sook Jue
Journal:  PLoS One       Date:  2021-08-17       Impact factor: 3.240

2.  Subclinical Onychomycosis in Apparently Healthy Adults.

Authors:  Alejandra Angulo-Rodríguez; Heidi Hernández-Ramírez; María Elisa Vega-Memije; Sonia Toussaint-Caire; Gabriela Moreno-Coutiño
Journal:  Skin Appendage Disord       Date:  2021-02-10

Review 3.  Meta-analysis of the utility of culture, biopsy, and direct KOH examination for the diagnosis of onychomycosis.

Authors:  Verónica Velasquez-Agudelo; Jaiberth Antonio Cardona-Arias
Journal:  BMC Infect Dis       Date:  2017-02-22       Impact factor: 3.090

4.  Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis.

Authors:  Young Jae Kim; Seung Seog Han; Hee Joo Yang; Sung Eun Chang
Journal:  PLoS One       Date:  2020-06-11       Impact factor: 3.240

5.  Nail clipping in onychomycosis.

Authors:  Laura Bertanha; Nilton Di Chiacchio
Journal:  An Bras Dermatol       Date:  2016 Sep-Oct       Impact factor: 1.896

  5 in total

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