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Enregistrement W4408912861 · doi:10.1111/apa.70077

First Immunisations as per <scp>UK</scp> Schedule in Extreme Preterm Infants—Are They That Scary?

2025· article· en· W4408912861 sur OpenAlexaboutno aff
Elise Peever, Rishini Wanigasekara, Vennila Ponnusamy

Notice bibliographique

RevueActa Paediatrica · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueInfluenza Virus Research Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineSchedulePediatrics

Résumé

récupéré en direct d'OpenAlex

Premature and low birth weight infants are well known to have high mortality and morbidity relating to vaccine-preventable infections in the first year of life [1]. In December 2019, Public Health England published a guidance for parents of premature infants born on or after January 2020 on the updated immunisation schedule, to commence 8 weeks from birth regardless of gestation [2]. The first set of immunisations as per the UK schedule includes Diphtheria, Tetanus, Pertussis, Polio, Haemophilus influenza type B, and Hepatitis B (DTaP/IPV/Hib/HepB) [Infanrix hexa, GSK, Belgium]; Meningococcal group B [Bexsero, GSK, Italy] and Rotavirus [Rotarix, GSK, Belgium], similar to those given to term infants. However, there is still a lack of recent published data on the uptake and tolerability of timely first immunisations in extreme preterm neonates. Preterm infants have an immature immune system and often miss out on the maternally transferred IgG in the third trimester, which offers short-term protection. However, the lack of maternal antibodies in preterm infants may provide an advantage for better immune response without being inhibited by maternal antibodies [2]. Even though available evidence suggests that for several antigens the antibody response to initial doses of immunisations is lower in preterm infants than that of a term infant, protective concentrations are often achieved, and memory is successfully induced [3]. With lack of comparable data on various immunisation schedules, recommendations on the current schedule have been based on limited, but available scientific evidence. In 2014, Sisson highlighted the need for further studies exploring the reasons why immunisations for premature babies are not always given as per the routine schedule. This is despite being known to be a vulnerable population with an increased risk of infection [4]. We present the data from our single-centre retrospective cohort study of all extreme preterm neonates ≤ 27 weeks' gestation who received their first immunisations as per the UK schedule in our neonatal intensive care unit over a 4-year period from January 2020 to December 2023. This review included baseline characteristics and subsequent complications following first immunisations, as shown in Table 1. In total, 29% (52/176) of neonates successfully received their first immunisations as in-patients and were therefore eligible for inclusion in this study, whilst 51% were transferred to their local hospital, and 20% died before day 60. The mean gestational age of our cohort was 25 weeks (IQR: 23 + 5–26 + 5) with a mean birth weight of 688 g (IQR: 546–763). At the time of first immunisations, the mean corrected gestational age was 34 weeks (IQR: 33 + 1–35 + 5) with a mean weight of 1499 g (IQR: 1121–1743). Only just over a third (37%; 19/52) of the eligible neonates were immunised by 60 days, whilst two-thirds (67%; 35/52) received immunisations by 65 days. Nearly a quarter of the cohort (21%; 11/52) had no clear documentation for any medical or parental concerns as a reason for delayed immunisations. Another quarter (25%; 13/52) had symptoms of suspected sepsis at around 60 days of life, leading to a delay. However, post-immunisations, only 13% underwent a septic screen, 4% had documented fever, and 15% had an elevated C-reactive protein. Nearly half of the study population (44%; 23/52) did not experience any adverse effects following immunisations. The commonest adverse effect (40%; 21/52) experienced was fleeting desaturations with or without apnoea. Following this, only a minority (15%; 8/52) required changes to ventilatory settings, such as an increase in oxygen requirement or flow of non-invasive mode of ventilation, and only 2% needed escalation to another modality of non-invasive ventilation. None of the cohort needed escalation from non-invasive to invasive respiratory support. Return to baseline clinical status was achieved in a mean of 2.2 days. While two-thirds of eligible extreme preterm neonates were immunised within a reasonable time frame of 65 days from the recommended 8 weeks (56 days), the rationale for the delay was not clearly documented in almost a quarter of babies. There seems to be some hesitancy among parents and staff regarding timely immunisations, possibly due to anxiety over lower gestation and weight in this cohort compared to borderline preterm or term infants. This could reflect the lack of confidence in the tolerability of immunisations in this population due to limited data available in literature [4]. Interestingly, in a large population-based study in Canada, substantially lower immunisation rates have been observed among extreme preterm infants when they were still hospitalised as opposed to being in the community at the time when immunisations were due [5]. Our study shows that first childhood immunisations as per the recommended UK schedule were relatively well tolerated by extreme preterm infants and the majority only needed a minor increase in non-invasive respiratory support, which could be safely managed in a hospital setting. Our finding on self-limiting cardio-respiratory adverse effects is similar to the summary of findings from the small number of published studies [1, 3, 4]. Our study adds more recent evidence to support the safety of timely first immunisations as per the UK schedule for extreme preterm infants ≤ 27 weeks' gestation in a hospital setting. We appreciate that first immunisations may differ across countries and our conclusions are based only on the UK schedule. Being a retrospective study, our study was limited in being able to study the exact reasons for delay in offering timely immunisations. Difficulty occurred in extracting data from notes due to unclear documentation in several babies. Given the lack of clear documentation of the reason for delay, it is unlikely that this was due to clinical instability as demonstrated by extrapolated data. Therefore, our study also highlights that more reassurance needs to be provided to health care professionals, in addition to parents, to ensure compliance with the national immunisation schedule. Parameters to guide first immunisations should include chronological age and clinical condition [1]. While the immunogenicity of preterm immunisations is unclear and additional booster doses might be needed for effective longer-term protection, it seems prudent to follow the recommended schedule, ensuring earlier protection is provided to high-risk infants. With limited data in this field, it is important to reinforce the need for clear and accurate documentation for not only research purposes but to facilitate high quality care for our patients in a timely manner. Elise Peever: investigation, writing – original draft, writing – review and editing, formal analysis, data curation, methodology, project administration. Rishini Wanigasekara: data curation, investigation, writing – original draft, writing – review and editing, formal analysis, methodology, project administration. Vennila Ponnusamy: supervision, conceptualization, writing – review and editing, visualization, validation, project administration. The authors declare no conflicts of interest.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,086
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,070
Tête enseignante GPT0,328
Écart entre enseignants0,258 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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