[Algorithm to facilitate the management of onychomycosis]

Area of Science:

• Dermatology
• Mycology
• Medical Diagnostics

Background:

• Onychomycosis management requires accurate diagnosis for effective treatment.
• Current diagnostic methods can be time-consuming and complex.
• A streamlined approach is needed to improve patient outcomes.

Purpose of the Study:

• To propose a novel algorithm for the diagnosis and management of onychomycosis.
• To simplify the diagnostic process for clinicians.
• To ensure appropriate and targeted therapeutic interventions.

Main Methods:

• Integration of patient anamnesis (medical history).
• Inclusion of physical examination findings.
• Utilizing mycological diagnostic tools: direct examination, culture, and Polymerase Chain Reaction (PCR).

Main Results:

• The proposed algorithm facilitates a more efficient diagnostic pathway.
• It aids in selecting the most adequate targeted treatment for onychomycosis.
• Improved management through a systematic diagnostic approach.

Conclusions:

• The algorithm provides a structured method for onychomycosis management.
• It enhances diagnostic accuracy by combining clinical and laboratory data.
• This approach leads to more effective and personalized therapeutic strategies.