Clinical phenotyping of children with nocturnal enuresis: A key classification to improve the approach

Rita Pavione Rodrigues Pereira1, Aline Mari Mazzali Pessoa Martins1, Isabela Teixeira Mendes de Carvalho1

  • 1Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional da Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, SP, Brazil; LIM 54 - Laboratório de Investigação em Fisioterapia, Hospital das Clínicas da Faculdade de Medicina da Universidade De São Paulo, Sao Paulo, SP, Brazil.

PubMed

Insights

This study developed a new phenotyping model for childhood nocturnal enuresis, recognizing it as a systemic condition. This model aids in understanding associated clinical issues and improving treatment strategies for better child development.

Area of Science:

  • Pediatrics
  • Urology
  • Clinical Medicine

Background:

  • Nocturnal enuresis involves systemic clinical manifestations impacting children's quality of life.
  • Understanding the relationship between these manifestations is a clinical challenge.

Purpose of the Study:

  • To develop an evidence-based clinical phenotyping model for children with nocturnal enuresis.
  • To categorize associated clinical manifestations for better understanding of pathophysiological mechanisms.

Main Methods:

  • An analytical and methodological literature review was conducted.
  • Bibliometric analysis was used to analyze outcomes.
  • Clinical manifestations were categorized and validated by an expert committee.

Main Results:

  • A comprehensive phenotyping model for childhood nocturnal enuresis was developed.
  • Clinical manifestations were categorized based on frequency and literature findings.
  • The model was visually represented for professional understanding.

Conclusions:

  • An evidence-based phenotyping model for childhood nocturnal enuresis has been successfully developed.
  • This model facilitates a better understanding of integrated clinical manifestations.
  • It supports more assertive assessment and tailored therapeutic selection.
Abstract

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