A Safety and Feasibility Trial Protocol of Metformin in Infants after Perinatal Brain Injury
Notice bibliographique
Résumé
ABSTRACT Introduction Infants with hypoxic-ischemic encephalopathy (HIE) are at high risk for neurodevelopmental impairment, despite current standards of care. Adjunctive treatments to promote brain repair are needed. The antidiabetic drug metformin has recently been recognized as a neurorestorative agent, but, to date, has not been used in infants. Herein, we describe a clinical trial with the aim of demonstrating the safety and feasibility of metformin use to improve neurodevelopmental outcomes in infants with HIE. Methods and Analysis In collaboration with patient and family stakeholders, we designed a pragmatic clinical trial to assess the safety and feasibility of metformin administration in infants. To determine appropriate dosing of metformin, we performed Physiologically Based Pharmaco-Kinetic (PBPK) modeling after scaling a published adult PBPK model of metformin to an infant population of full-term newborns to 3-month-olds. Based on this PBPK modeling and target drug exposure, we determined an optimal target dose of 25 mg/kg/day. Trial participants will complete baseline bloodwork and then receive 6 weeks of daily metformin at 50% of the target dose (12.5mg/kg). At a mid-study visit, repeat laboratory testing will be done, followed by an additional 6 weeks of metformin at target dosing of 25mg/kg. The final study visit will include repeat labs following therapy at target dosing. Pharmacokinetics of metformin will be evaluated with bloodwork collected at study visits, as well as an optional at-home monitoring sub-study. The incidence of safety events and feasibility measures will be reported using descriptive statistics. Our infant PBPK model will be validated with study samples and the dose for future trials adjusted based on new knowledge about metformin PK in infants. Ethics and Dissemination Approval of the Boston Children’s Hospital Research Ethics Committee will be obtained prior to study initiation. Trial oversight will be under the direction of a Data Safety Monitoring Board (DSMB) composed of individuals with the appropriate expertise, including external neonatologists and pharmacologists. Registration This study has been registered at www.clinicaltrials.gov under NCT06429007 . WHAT IS ALREADY KNOWN ON THIS TOPIC Hypoxic-ischemic encephalopathy (HIE) is a major cause of newborn death and neurodevelopmental morbidity. Therapeutic hypothermia reduces the risk of death or disability in infants with HIE, but nonetheless, a large proportion of infants experience long term sequelae. Metformin is an anti-diabetic drug that has shown promise to promote recovery after brain injury, but it has not been widely used in infants or young children. WHAT THIS STUDY HOPES TO ADD To investigate whether the administration of metformin in infants with a history of HIE is safe and feasible. To investigate the pharmacokinetics of metformin in infants. HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE, OR POLICY The results of this trial will serve as the foundation for future clinical trials to study the efficacy of metformin in improving neurodevelopmental outcomes in children with HIE.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,031 | 0,031 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,002 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,005 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,026 | 0,006 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».