Global and national influenza-associated hospitalization and mortality rates: a systematic review and meta-analysis
Notice bibliographique
Résumé
Summary Background A global comprehensive assessment of influenza-associated hospitalization and mortality across diverse populations and geographical settings is currently lacking. To support an update of WHO influenza clinical guidelines, this systematic review and meta-analysis evaluated the baseline risks of hospitalization and all-cause mortality in patients with seasonal, pandemic, or zoonotic influenza. Methods We systematically searched Medline, Embase, CENTRAL, CINAHL, and Global Health for studies published through 26 October 2023, that reported hospitalization and/or mortality among patients with laboratory-confirmed influenza. Paired reviewers independently identified studies, extracted data, and assessed the risk of bias. We performed inverse variance method fixed effects model meta-analyses to summarize the evidence and evaluated the certainty of evidence using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. We registered the protocol with PROSPERO, CRD42023456645. Findings Of 30054 records, 355 studies with 18,640,366 patients (mean age 0.1 to 87.9 years) proved eligible. The hospitalization rate was 1.01% (95%CI 1% to 1.01%; moderate certainty) for patients with seasonal or pandemic influenza and 93.72% (95%CI 90.12% to 96.58 %; low certainty) for patients with zoonotic influenza. The all-cause mortality rate was 0.23% (95%CI 0.22% to 0.24%; high certainty) for patients with non-severe seasonal or pandemic influenza, 4.15% (95%CI 4.10% to 4.20%; moderate certainty) for patients with severe seasonal or pandemic influenza, and 38.72% (95%CI 36.79% to 40.66%; moderate certainty) for patients with zoonotic influenza. Interpretation This review estimated a hospitalization rate of 1.01% for seasonal or pandemic influenza and all-cause mortality rates of 0.23% for non-severe seasonal or pandemic influenza, 4.15% for severe seasonal or pandemic influenza, and 38.72% for severe zoonotic influenza. Funding World Health Organization to McMaster University in 2023. Research in context Evidence before this study A comprehensive understanding of influenza-associated hospitalization and mortality rates is essential for guiding effective prevention and control strategies and formulating evidence-based clinical practice guidelines and policies. Previous systematic reviews and meta-analyses have investigated influenza-associated hospitalization and mortality rates, but they have often been limited by their focus on a specific strain of influenza, particular patient subgroups, or individual countries, or by a lack of assessment of the certainty of evidence. A global comprehensive assessment of influenza-associated hospitalization and mortality rates across diverse strains, populations, and geographical settings is currently lacking. Added value of this study We found a hospitalization rate of 1.01% for seasonal or pandemic influenza and all-cause mortality rates of 0.23% for non-severe seasonal or pandemic influenza, 4.15% for severe seasonal or pandemic influenza, and 38.72% for zoonotic influenza. Among severe seasonal or pandemic influenza cases, patients aged ≥65 years (8.31%) had a higher all-cause mortality rate than those aged 0-14 years (0.76%) and 15-64 years (6.50%). Implications of all the available evidence Our study provides a comprehensive assessment of the global evidence regarding hospitalization and mortality rates among influenza patients. Our findings highlight the critical need for distinct clinical and public health strategies tailored to influenza type and severity.
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 | 0,021 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,023 | 0,047 |
| Bibliométrie | 0,009 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| 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 ».