The objective of this study was to determine the association between viral subtype/clade and disease severity.

Multicentre retrospective cohort study.

This study used data from the Global Influenza Hospital Surveillance Network (GIHSN). The dataset comprised hospitalised influenza patients with viral sequencing data across 14 countries, collected from August 2022 through October 2023.

A total of 761 hospitalised patients were enrolled during the study period, and 745 patients were included in the analysis. We excluded patients with missing data on explanatory or outcome variables, those infected with viral clades represented by fewer than 11 sequences, and those enrolled at study sites contributing fewer than 5 patients.

Disease severity was defined by admission to intensive care unit (ICU), receipt of non-invasive oxygen supplementation, 3-variable definition (ICU, mechanical ventilation or death) or 4-variable definition (3-variable plus oxygen supplementation).

Outcomes were analysed in association with subtype or clade using the mixed-effects logistic regression models, adjusting for age group, sex, underlying medical conditions, influenza vaccination status, antiviral use, country income level and epidemic period, while study site was included as a random effect.

745 patients were included: 263 A(H1N1)pdm09, 380 A(H3N2), 102 B/Victoria. A(H1N1)pdm09 infection was associated with increased odds of ICU admission (adjusted ORs (aORs) 2.5, 95% CI 1.1 to 5.8) compared with A(H3N2). 6B.1A.5a.2a.1 clade of A(H1N1)pdm09 was associated with increased severity compared with 6B.1A.5a.2a clade (aOR 3.0, 95% CI 1.0 to 9.5) and (aOR 5.4, 95% CI 1.6 to 18.3) for the 3-variable and 4-variable definitions respectively. Among A(H3N2), the (3C.2a1b.2a.)2b clade showed a trend toward increased severity using the 4-variable definition compared with the 2a.1b clade (aOR 2.9, 95% CI 0.8 to 10.0).

This analysis highlights the differential impact of influenza subtypes and clades on disease severity in hospitalised patients. Future research should investigate the role of specific viral mutations of these clades in modulating immune evasion or disease severity. These findings reinforce the GIHSN’s critical role in global surveillance. Ongoing genomic surveillance is crucial for understanding the clinical impact of emerging influenza variants and informing public health responses.

Social accountability is a key value and aspirational goal of many medical institutions. While much has been studied on social accountability in the context of medical education and institutions, less research has examined how social accountability influences research. In light of this absence, the objective of our scoping review is to research the following questions: (1) What characterises socially accountable research (SAR), and how is it expressed and experienced? (2) How do language, positionality, and worldview influence SAR?, and (3) What structures and considerations are necessary to support successful SAR in local and global contexts?

To answer the above research questions, the Arksey and O’Malley, Levac et al, Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews and Joanna Briggs Institute (JBI) guidelines will be followed. The search strategy was adapted and applied to MEDLINE, Embase, ERIC, and CINAHL databases. A total of n=5289 eligible articles were identified. Articles were excluded if they were published before 1995, were in a language other than English, or were duplicates, leaving n=2840 articles for title/abstract screening.

Ethical approval is not required to complete this study. We will take an integrated knowledge translation approach. Throughout the project, results will be disseminated to knowledge users (ie, consultations, following Arksey and O’Malley). Our findings will be presented to the larger academic community, policymakers, and healthcare practitioners through presentations, reports, newsletters, and an online repository.

Open Science Framework 16 July 2024. osf.io/mvhnu.