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Enregistrement W4390276730 · doi:10.3310/thjy0671

Techniques to increase lumbar puncture success in newborn babies: the NeoCLEAR RCT

2023· article· en· W4390276730 sur OpenAlexafffund
Charles Christoph Roehr, Andrew S. J. Marshall, Alexandra Scrivens, Manish Sadarangani, R. Jordan Williams, Jean Yong, Louise Linsell, Virginia Chiocchia, Jennifer Bell, Caz Stokes, Patricia Santhanadass, Ian Nicoll, Eleri Adams, Andrew King, David R. Murray, Ursula Bowler, Kayleigh Stanbury, Edmund Juszczak

Notice bibliographique

RevueHealth Technology Assessment · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueAnesthesia and Pain Management
Établissements canadiensBC Children's HospitalUniversity of British Columbia
Organismes subventionnairesHealth Technology Assessment ProgrammeDepartment of Health and Social CareNational Institute for Health and Care ResearchChiesi FarmaceuticiCanadian Child Health Clinician Scientist ProgramMichael Smith Health Research BCBC Children's HospitalChildren's Hospital FoundationPfizer
Mots-clésMedicineLumbar punctureStyletLumbarRandomized controlled trialSittingGestational ageSurgeryCerebrospinal fluidMeningitisAnesthesiaPregnancyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background Lumbar puncture is an essential tool for diagnosing meningitis. Neonatal lumbar puncture, although frequently performed, has low success rates (50–60%). Standard technique includes lying infants on their side and removing the stylet ‘late’, that is, after the needle is thought to have entered the cerebrospinal fluid. Modifications to this technique include holding infants in the sitting position and removing the stylet ‘early’, that is, following transection of the skin. To the best of our knowledge, modified techniques have not previously been tested in adequately powered trials. Objectives The aim of the Neonatal Champagne Lumbar punctures Every time – An RCT (NeoCLEAR) trial was to compare two modifications to standard lumbar puncture technique, that is, use of the lying position rather than the sitting position and of ‘early’ rather than ‘late’ stylet removal, in terms of success rates and short-term clinical, resource and safety outcomes. Methods This was a multicentre 2 × 2 factorial pragmatic non-blinded randomised controlled trial. Infants requiring lumbar puncture (with a working weight ≥ 1000 g and corrected gestational age from 27+0 to 44+0 weeks), and whose parents provided written consent, were randomised by web-based allocation to lumbar puncture (1) in the sitting or lying position and (2) with early or late stylet removal. The trial was powered to detect a 10% absolute risk difference in the primary outcome, that is, the percentage of infants with a successful lumbar puncture (cerebrospinal fluid containing < 10,000 red cells/mm3). The primary outcome was analysed by modified intention to treat. Results Of 1082 infants randomised (sitting with early stylet removal, n = 275; sitting with late stylet removal, n = 271; lying with early stylet removal, n = 274; lying with late stylet removal, n = 262), 1076 were followed up until discharge. Most infants were term born (950/1076, 88.3%) and were aged < 3 days (936/1076, 87.0%) with a working weight > 2.5 kg (971/1076, 90.2%). Baseline characteristics were balanced across groups. In terms of the primary outcome, the sitting position was significantly more successful than lying [346/543 (63.7%) vs. 307/533 (57.6%), adjusted risk ratio 1.10 (95% confidence interval 1.01 to 1.21); p = 0.029; number needed to treat = 16 (95% confidence interval 9 to 134)]. There was no significant difference in the primary outcome between early stylet removal and late stylet removal [338/545 (62.0%) vs. 315/531 (59.3%), adjusted risk ratio 1.04 (95% confidence interval 0.94 to 1.15); p = 0.447]. Resource consumption was similar in all groups, and all techniques were well tolerated and safe. Limitations This trial predominantly recruited term-born infants who were < 3 days old, with working weights > 2.5 kg. The impact of practitioners’ seniority and previous experience of different lumbar puncture techniques was not investigated. Limited data on resource use were captured, and parent/practitioner preferences were not assessed. Conclusion Lumbar puncture success rate was higher with infants in the sitting position but was not affected by timing of stylet removal. Lumbar puncture is a safe, well-tolerated and simple technique without additional cost, and is easily learned and applied. The results support a paradigm shift towards sitting technique as the standard position for neonatal lumbar puncture, especially for term-born infants during the first 3 days of life. Future work The superiority of the sitting lumbar puncture technique should be tested in larger populations of premature infants, in those aged > 3 days and outside neonatal care settings. The effect of operators’ previous practice and the impact on family experience also require further investigation, alongside in-depth analyses of healthcare resource utilisation. Future studies should also investigate other factors affecting lumbar puncture success, including further modifications to standard technique. Trial registration This trial is registered as ISRCTN14040914 and as Integrated Research Application System registration 223737. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 15/188/106) and is published in full in Health Technology Assessment; Vol. 27, No. 33. See the NIHR Funding and Awards website for further award information.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,014
score de la tête « metaresearch » (Gemma)0,043
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,072

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0140,043
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0040,005
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0020,003
Science ouverte0,0010,002
Intégrité de la recherche0,0040,003
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

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.

Tête enseignante Opus0,019
Tête enseignante GPT0,365
Écart entre enseignants0,346 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2023
Routes d'admission2
Résumé présentoui

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