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

Introduction: The literature shows that nocturnal enuresis is not an isolated phenomenon of urinary loss during sleep, but encompasses a set of systemic clinical manifestations that significantly influence children's quality of life and development. However, the understanding of the clinical and physiological relationship of these systemic manifestations remains a clinical challenge. The recognition of these manifestations and their subsequent categorisation, may provide better insights into integrated clinical manifestations, facilitating the understanding of pathophysiological mechanisms, and promote increased assertiveness in the assessment and the selection of appropriate therapies.

Objective: The aim of this study is to develop a phenotyping model for children with nocturnal enuresis based on evidence.

Methods: This study presents a clinical phenotyping model for children with nocturnal enuresis based on an analytical and methodological review of the literature, about nocturnal enuresis and its associated clinical manifestations. There was a bibliometric analysis carried out to better analyse outcomes. After reading and analysing the literature, the clinical manifestations were categorised into domains and submitted to the validation of an expert committee with extensive experience in their specific area of expertise. A visual representation of the categorised model was developed to make the phenotyping concept easily understandable to all professionals.

Results: The clinical manifestations related to nocturnal enuresis have been categorised according to frequency and relation found in the literature and validation by an expert committee and the development of the phenotyping model for children with nocturnal enuresis was completed.

Conclusion: The present study developed an evidence-based phenotyping model for children with nocturnal enuresis.

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http://dx.doi.org/10.1016/j.jpurol.2024.01.019DOI Listing

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