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[Algoritmo de tratamiento de la dermatitis atópica en Perú. Consenso de expertos]
Pablo Butron1, Cesar Galvan2, Rosalía Ballona3
1Hospital Regional Honorio Delgado.
Insights
This study presents a consensus-based management algorithm for atopic dermatitis (AD). The algorithm provides updated recommendations for diagnosing and treating mild, moderate, and severe AD in Peru.
Area of Science:
- Dermatology
- Clinical Medicine
- Public Health
Context:
- Atopic dermatitis (AD) is a chronic, relapsing skin condition with significant patient and healthcare burdens.
- AD primarily affects children but also impacts adults, with varying clinical presentations.
- Current management involves multiple pharmacological and non-pharmacological symptomatic therapies.
Purpose:
- To develop a consensus-driven management algorithm for atopic dermatitis.
- To provide evidence-based recommendations for the diagnosis, education, and follow-up of AD patients.
- To outline therapeutic alternatives for mild, moderate, and severe AD.
Summary:
- A management algorithm for atopic dermatitis was created using the nominal group technique and expert consensus (80% favorability).
- The algorithm details diagnostic criteria, treatment strategies, and follow-up protocols for AD.
- It incorporates all available therapeutic options in Peru for managing different severity levels of AD.
Impact:
- Provides a standardized approach to atopic dermatitis management.
- Aims to improve patient outcomes and quality of life by optimizing treatment strategies.
- Offers updated, expert-endorsed recommendations for healthcare providers in Peru.
Objective:
Atopic dermatitis is a chronic, systemic, relapsing disease with dermatological manifestations, which imposes a high burden on patients, families and the health care system and has a high psychological, social, and economic impact and on the quality of life of patients. It mainly affects the pediatric population and, to a lesser extent, the adult population. The clinical presentation varies according to the age and evolution of the disease, and currently there are multiple pharmacological and non-pharmacological therapies available for the symptomatic management of patients.
Methods:
To present an algorithm for the management of atopic dermatitis, proposed as a series of recommendations on the management, diagnosis, education, and follow-up of these patients.
Results:
A consensus was reached using the nominal group technique. The methodology was developed in 7 phases, including: posing the research questions, literature search, an initial proposal of recommendations, elaboration of the final recommendations and the management algorithm with three voting cycles, consensus was established with 80% favorability.
Conclusions:
The result of the consensus process is a management algorithm for patients with mild, moderate/severe atopic dermatitis derived from expert recommendations. The algorithm establishes diagnostic and treatment criteria and provides updated recommendations, including all therapeutic alternatives available in Peru for the management of patients with mild, moderate, and severe atopic dermatitis.
