2613. Pediatric respiratory syncytial virus hospitalizations, 2017 to 2022, the Canadian Immunization Monitoring Program Active (IMPACT)
Notice bibliographique
Résumé
Abstract Background Respiratory syncytial virus (RSV) is a leading cause of pediatric hospitalizations. We aimed to describe the epidemiology and burden of RSV-associated hospitalizations among children in Canadian pediatric centers from 2017 to 2022, including changes during the COVID-19 pandemic. Methods We performed active surveillance for hospitalized children 0 to 16 years of age with laboratory confirmed RSV at 13 Canadian Immunization Monitoring Program Active (IMPACT) pediatric hospitals during 5 seasons (2017-18 to 2021-22). Proportions of RSV hospitalizations over all-cause hospitalizations over time, and intensive care unit (ICU) admissions, prolonged admissions (≥ 7-days) and mortality proportions were calculated, overall and by age groups and regions. RSV hospitalization-associated burden was compared for 2021-22 to the pre-pandemic period of 2017-18 to 2019-20. Seasonality was described using epidemic curves. Results Among 11,014 RSV-associated hospitalizations 6,035 (54.8%) were male and 5,488 (50%) were aged < 6 months. Overall, 2,594 (23.6%) were admitted to ICU, of which 60.8% were aged < 6 months old. The median hospital stay was 4 days (interquartile range: 2-6). The mean number of hospitalizations during the pre-pandemic seasons was 2,522. Only 58 cases were reported in 2020-21, followed by 3,170 in 2021-22. The proportion of RSV hospitalizations over all-cause hospitalizations rose from 3.2% pre-pandemic to 4.5% in 2021-22 (difference 1.3% [95%CI 0.8-1.8]; p=0.07 after multiplicity adjustment). One province, Quebec, had a significant increase in RSV-hospitalization proportion in 2021-22 (2.5 percentage points, 95%CI 1.7-3.2, adjusted p-value 0.045). Age, sex, ICU admission, prolonged length of stay(≥7-days) and mortality proportions did not change in 2021-22 compared to the pre-pandemic period. Interregional differences in RSV seasonality were accentuated in 2021-22. Weekly RSV-associated hospital admissions in children aged 0 to 16 years at IMPACT centers, 2017-2022, by season Monthly RSV-associated hospital admissions in children aged 0 to 16 years at IMPACT centers, 2017-2022, by province Conclusion RSV hospitalization burden in Canadian pediatric hospitals is substantial, especially in infants aged < 6 months. Following a near absence in 2020-21, RSV hospitalizations increased in the 2021-22 season, but severity of illness remained similar to the pre-pandemic period. These data will aid planning of RSV prevention strategies. Disclosures Nirma K. Vadlamudi, MPH, PhD, Broadstreet HEOR: Personal fees outside of the submitted work Scott Halperin, MD, CanSino: Grant/Research Support|CanSino: served on ad hoc advisory board|GlaxoSmithKline: Grant/Research Support|GlaxoSmithKline: served on ad hoc advisory board|Merck: Grant/Research Support|Merck: served on ad hoc advisory board|Moderna: Grant/Research Support|Moderna: served on ad hoc advisory board|Pfizer,: Grant/Research Support|Pfizer,: served on ad hoc advisory board|Sanofi-Pasteur: Grant/Research Support|Sanofi-Pasteur: served on ad hoc advisory board|Seqirus: Grant/Research Support|Seqirus: served on ad hoc advisory board|VBI Vaccines: Grant/Research Support|VBI Vaccines: served on ad hoc advisory board Joanne M. Langley, MD, CanSino: Grant/Research Support|Entos: Grant/Research Support|GlaxoSmithKline: Grant/Research Support|Merck: Grant/Research Support|Moderna: Grant/Research Support|Pfizer: Grant/Research Support|Sanofi-Pasteur: Grant/Research Support|Seqirus: Grant/Research Support|Symvivo: Grant/Research Support|VBI Vaccines: Grant/Research Support Shaun Morris, MD, MPH, DTM&H, FRCPC, FAAP, GlaxoSmithKline: Honoraria|JNJ China: Honoraria|Merck: served on ad hoc advisory board|Pfizer: Grant/Research Support|Pfizer: served on ad-hoc advisory board|Sanofi-Pasteur: served on ad-hoc advisory board Jeffrey Pernica, MD, MSc, FRCPC, DTMH, MedImmune: Grant/Research Support|Merck: Grant/Research Support Manish Sadarangani, BM BCh, FRCPC, DPhil, GlaxoSmithKline: Grant/Research Support|Merck: Grant/Research Support|Moderna: Grant/Research Support|Pfizer: Grant/Research Support|Sanofi Pasteur: Grant/Research Support|Seqirus: Grant/Research Support|Symvivo: Grant/Research Support|VBI Vaccines: Grant/Research Support Jesse Papenburg, MD, AstraZeneca: Personal fees outside of the submitted work|MedImmune: Grant/Research Support|Merck: Grant/Research Support|Merck: Personal fees outside of the submitted work
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».