Prevention of early‐onset group B streptococcal disease: a pinch of probability is worth a pound of perhaps
Notice bibliographique
Résumé
An effective screening programme identifies risk factors that increase disease likelihood, and reduces disease development through risk modification or intervention strategies tailored to the population. No screening programme exemplifies this more than the prevention of newborn early-onset group B streptococcal (EOGBS) disease. From the 1990s, guidelines advocated either a risk-based or a screening approach for intrapartum antibiotic prophylaxis. Unfortunately, no randomised trials have evaluated risk factor-based intrapartum antibiotic prophylaxis versus universal screening approaches for the prevention of perinatal GBS infection. A 2002 Centers for Disease Control and Prevention retrospective cohort observational study of more than 600 000 liveborn US infants found a significantly lower risk of EOGBS disease among infants of screened women compared with women managed with the risk-based approach (adjusted risk ratio 0.46; 95% CI 0.36–0.60; Schrag et al NEJM 2002; 347:233–39). As a result, GBS screening guidelines in the USA, Canada, and Australia were revised, and universal culture-based screening of all pregnant women at 35–37 weeks of gestation was recommended. Group B Strep Support reports several medico-legal actions on behalf of infants with GBS disease, 40% of which were due to a failure of intrapartum prophylaxis in the presence of known GBS risk factors. Currently in the UK, routine antepartum screening for GBS is not recommended (Hughes et al. BJOG 2017;124:e280–e305). Despite the implementation of a risk-based prevention approach in 2003, the incidence of EOGBS disease has not changed (0.57/1000 in 2015 versus 0.48/1000 live births in 2000). This may in part result from the fact that only a small proportion of newborns with EOGBS disease will have risk factors that trigger intrapartum GBS prophylaxis (for example, 35% in the most recent survey from the UK; British Paediatric Surveillance Unit Annual Report 2015–2016;2016:10–12). Thus even the perfect implementation of a risk-based approach is not likely to lead to decreases in the incidence of disease as pronounced as those attained with universal screening. Thus, one might conclude that more widespread antibiotic prophylaxis leads to improved prevention of neonatal GBS infection. So why is universal screening not recommended in the UK? When contemplating a therapy to prevent disease burden, the potential adverse effects of an intervention and the number of individuals to be treated are important considerations. Maternal antibiotic reactions, the development of antibiotic-resistant bacteria, the impact on the infant microbiome, and healthcare expenditure must be viewed as balancing measures when choosing prevention strategies for EOGBS disease. The number needed to treat in order to prevent a disease is inversely proportional to the baseline risk of the disease in the target population: as disease prevalence increases, fewer individuals will need to be treated to prevent one case. Thus, in the UK (EOGBS rate 0.57/1000 live births) universal screening would require approximately 2200 women be treated to prevent one EOGBS case [The UK National Screening Committee (UK NSC) recommendation on Group B Streptococcus screening in pregnancy; 2017] versus 1200 women in Australia (EOGBS rate 0.84/1000 live births; Angstetra et al. Aust NZ J Obstet Gynaecol 2007;47:378–82). National policies must balance the benefits and consequences of preventive strategies for EOGBS disease and choose which strategy best suits particular populations. The current approach in the UK is not reducing the risk of EOGBS disease, so a decision must be made about what to do next. Paraphrasing the words of the author James Thurber, both society and the individual will have to weigh whether the pinch of probability is worth the pound of perhaps. None declared. Completed disclosure of interests form available to view online as supporting information. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 tête enseignante, 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 ».