Copeptin improves prediction of treatment response in children with monosymptomatic nocturnal enuresis.


Journal

European journal of endocrinology
ISSN: 1479-683X
Titre abrégé: Eur J Endocrinol
Pays: England
ID NLM: 9423848

Informations de publication

Date de publication:
02 Mar 2023
Historique:
received: 13 10 2022
revised: 17 12 2022
accepted: 30 01 2023
pubmed: 17 2 2023
medline: 7 3 2023
entrez: 16 2 2023
Statut: ppublish

Résumé

One of the main medical treatment options for monosymptomatic nocturnal enuresis (MNE) is the vasopressin analog desmopressin. But not all children respond to desmopressin treatment, and no reliable treatment predictor has yet been established. We hypothesize that plasma copeptin, a surrogate marker for vasopressin, can be used to predict treatment response to desmopressin in children with MNE. In this prospective observational study, we included 28 children with MNE. At baseline, we assessed the number of wet nights, morning, and evening plasma copeptin, and plasma sodium and started treatment with desmopressin (120 µg daily). Desmopressin was increased to 240 µg daily if clinically necessary. The primary endpoint was reduction in the number of wet nights following 12 weeks of treatment with desmopressin using plasma copeptin ratio (evening/morning copeptin) at baseline. Eighteen children responded to desmopressin treatment at 12 weeks, while 9 did not. A copeptin ratio cutoff of 1.34 (sensitivity 55.56%, specificity 94.12%, area under the curve 70.6%, P = .07) was best at predicting treatment response, with a lower ratio indicating a better treatment response. In contrast, neither the number of wet nights at baseline (P = .15) nor serum sodium (P = .11) alone or in combination with plasma copeptin improved outcome prediction. Our results indicate that, of our investigated parameters, plasma copeptin ratio is the best predictor for treatment response in children with MNE. Plasma copeptin ratio could thus be useful to identify children with the highest benefit of desmopressin treatment and improve individualized treatment of MNE.

Identifiants

pubmed: 36795602
pii: 7043263
doi: 10.1093/ejendo/lvad022
pii:
doi:

Substances chimiques

copeptins 0
Deamino Arginine Vasopressin ENR1LLB0FP
Glycopeptides 0
Sodium 9NEZ333N27

Types de publication

Observational Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : University Hospital Basel

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of (ESE) European Society of Endocrinology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Déclaration de conflit d'intérêts

Conflicts of interest: M.C.-C. has received speaker honoraria from Thermofisher AG, the manufacturer of the copeptin assay. M.C.-C. is on the editorial board of EJE. She was not involved in the review or editorial process for this paper, on which she is listed as an author. All other authors report no conflict of interests.

Auteurs

Clara Odilia Sailer (CO)

Department of Endocrinology, Diabetology and Metabolism, University Hospital Basel, Basel, Switzerland.
Department of Clinical Research, University of Basel, Basel, Switzerland.

Odile Gaisl (O)

Department of Endocrinology, Diabetology and Metabolism, University Hospital Basel, Basel, Switzerland.
Department of Clinical Research, University of Basel, Basel, Switzerland.

Svetlana Beglinger (S)

Paediatric Emergency Unit, University of Basel Children's Hospital (UKBB), Basel, Switzerland.

Martina Frech-Dörfler (M)

Department of Pediatric Surgery, University Children's Hospital of Basel, Basel, Switzerland.

Vivienne Sommer (V)

Department of Pediatric Surgery, University Children's Hospital of Basel, Basel, Switzerland.

Maya Horst Lüthy (MH)

Department of Pediatric Urology, University Children's Hospital Zurich, Zurich, Switzerland.

Mirjam Christ-Crain (M)

Department of Endocrinology, Diabetology and Metabolism, University Hospital Basel, Basel, Switzerland.
Department of Clinical Research, University of Basel, Basel, Switzerland.

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Classifications MeSH