Functional seizures (FS) are events that resemble epileptic seizures, but are not attributed to brain pathology and are instead thought to be due to psychological factors. A small, multisite, open-label, single-arm, pilot trial of a breathing intervention known as breathing control training (BCT) found it to be safe and effective in reducing seizure frequency in FS. We propose a protocol for a study to confirm these results.

A 24-week, multicentre, individually-randomised, assessor-blinded, two-arm, parallel-group efficacy and acceptability trial of BCT versus control (Befriending) in 220 participants ≥16 years of age with FS. Eligible participants will be randomly allocated to receive two sessions of either BCT or Befriending over a 4-week period. Sessions will be delivered by a respiratory physiotherapist at a clinical care site or via telehealth. They will complete assessments prior to commencing treatment and at 4, 12 and 24 weeks after their initial session of BCT/Befriending. The trial will be conducted alongside treatment as usual. An economic evaluation including cost-utility and cost-effectiveness analyses will be carried out from health sector and societal perspectives.

The study has been approved by The Austin Health Human Research Ethics Committee (HREC/84335/Austin-2022) and the New Zealand Central Health and Disability Ethics Committee (2022 FULL 12324). Findings will be reported to trial participants and consumers; presented at local, national and international conferences; and disseminated by a peer-reviewed scientific journal.

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.