Patients in intensive care units (ICUs) and their families face existential physical, psychosocial and spiritual distress. Integrating palliative care (PC) into ICU care may benefit patients, relatives and ICU clinicians. Prior PC studies have shown a reduction in ICU length of stay (LOS) and distressing symptoms without altering overall mortality. A shorter ICU LOS may alleviate the burden for patients and relatives and help optimise the use of limited intensive care resources. PC in the ICU, however, remains underused, partly due to limited access and knowledge of ICU clinicians. Also, robust data regarding the effectiveness and cost-effectiveness of PC treatment in the ICU are scarce. We established the ‘enhancing palliative care in ICUs’ (EPIC) study to implement a system-based harmonised practice model across European ICUs. The aim is to investigate if early integration of PC via telemedicine, clinician education and bedside tools is effective and cost-effective, ultimately benefiting patients, relatives and ICU clinicians.

This multicentre, controlled, cluster-randomised, non-blinded stepped-wedge design trial with crossover phase aims to recruit around 2,000 patients from five European countries. All adult patients admitted to participating ICUs—with an ICU LOS exceeding 72 hours, where cancer is not the primary cause of critical illness, and who are not expected to die within the next 24 hours—are screened for the need for specialised PC based on the attending physician’s judgement. This judgement is triggered by the presence of one or more of the following: (1) significant disagreement among ICU team members and/or relatives about the appropriateness of current ICU treatment, (2) considerations of limiting life-sustaining therapy or (3) the anticipation that a specialised PC consultation may benefit the patient, their relatives or the ICU team. Patients identified as needing specialised PC and their relatives are then enrolled after obtaining written informed consent.

The complex intervention consists of (a) a blended-learning programme to foster knowledge and attitude about PC among ICU clinicians, (b) bedside tools, including a checklist to identify patients in need of PC and a factsheet and (c) standardised telemedical consultations from trained EPIC interventionists. Patient and relative follow-up is conducted 3 months post-ICU discharge. Outcomes include clinical measures (including ICU LOS (primary outcome), severity of critical illness, invasive treatments and health-related quality of life), economic endpoints (resource use, costs, cost–consequence situation, cost-effectiveness), ICU clinician burnout and distress, and patient and family perception about the quality of symptom management, care and communication. Endpoint analyses will employ generalised linear mixed models, accounting for the clustered data structure and stepped wedge design.

EPIC complies with the Declaration of Helsinki and has been approved by all local ethics committees. A decision-making structure is established to ensure trial procedures are carried out according to Good Clinical Practice. Study findings will be published in peer-reviewed journals and communicated to participants, healthcare professionals and the public. Sets of anonymised study data will be made available following Findable, Accessible, Interoperable, and Reusable principles.

NCT06605079.

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.

Process evaluation provides insight into how interventions are delivered across varying contexts and why interventions work in some contexts and not in others. This manuscript outlines the protocol for a process evaluation embedded in a hybrid type 1 effectiveness-implementation randomised clinical trial of incremental-start haemodialysis (HD) versus conventional HD delivered to patients starting chronic dialysis (the TwoPlus Study). The trial will simultaneously assess the effectiveness of incremental-start HD in real-world settings and the implementation strategies needed to successfully integrate this intervention into routine practice. This manuscript describes the rationale and methods used to capture how incremental-start HD is implemented across settings and the factors influencing its implementation success or failure within this trial.

We will use the Consolidated Framework for Implementation Research (CFIR) and the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) frameworks to inform process evaluation. Mixed methods include surveys conducted with treating providers (physicians) and dialysis personnel (nurses and dialysis administrators); semi-structured interviews with patient participants, caregivers of patient participants, treating providers (physicians and advanced practice practitioners), dialysis personnel (nurses, dieticians and social workers); and focus group meetings with study investigators and stakeholder partners. Data will be collected on the following implementation determinants: (a) organisational readiness to change, intervention acceptability and appropriateness; (b) inner setting characteristics underlying barriers and facilitators to the adoption of HD intervention at the enrollment centres; (c) external factors that mediate implementation; (d) adoption; (e) reach; (f) fidelity, to assess adherence to serial timed urine collection and HD treatment schedule; and (g) sustainability, to assess barriers and facilitators to maintaining intervention. Qualitative and quantitative data will be analysed iteratively and triangulated following a convergent parallel and pragmatic approach. Mixed methods analysis will use qualitative data to lend insight to quantitative findings. Process evaluation is important to understand factors influencing trial outcomes and identify potential contextual barriers and facilitators for the potential implementation of incremental-start HD into usual workflows in varied outpatient dialysis clinics and clinical practices. The process evaluation will help interpret and contextualise the trial clinical outcomes’ findings.

The study protocol was approved by the Wake Forest University School of Medicine Institutional Review Board (IRB). Findings from this study will be disseminated through peer-reviewed journals and scientific conferences.

NCT05828823.

Deep vein thrombosis (DVT) in critically ill patients is often undetected. However, it is unclear whether ultrasound surveillance for early detection of DVT in high-risk medical-surgical intensive care unit (ICU) patients improves patients’ outcomes. The DETECT trial (Diagnosing deep-vein thrombosis early in critically ill patients) evaluates the effect of twice-weekly bilateral lower limb ultrasound compared to usual care on 90-day mortality of critically ill adult patients admitted to medical, surgical and trauma ICUs.

The DETECT trial is an international, parallel-group, open-label, randomised trial, which will recruit 1800 critically ill adults from over 14 hospitals in Saudi Arabia and Kuwait. Eligible patients will be allocated to twice-weekly bilateral lower limb ultrasound or usual care. The primary outcome is 90-day mortality. Secondary outcomes include lower limb proximal DVT, pulmonary embolism and clinically important bleeding. The first patient was enrolled on 21 March 2023. As of 8 April 2025, 711 patients have been enrolled from 14 centres in Saudi Arabia and Kuwait. The first interim analysis was conducted on 14 May 2025. We expect to complete recruitment by December 2026.

Institutional review boards (IRBs) of each participating institution approved the study. We plan to publish the results in peer-reviewed journals and present the findings at international critical care conferences.

Clinicaltrials.gov: NCT05112705, registered on 9-11-2021.