University of Liverpool

Spliceosome gene mutations synergize with anthracyclines to amplify atrial fibrillation risk in hematologic malignancies: a multicenter cohort study with discovery and validation

Abstract Background Atrial fibrillation (AF) is a life‑threatening complication in patients with hematologic malignancies, yet personalized risk stratification remains challenging. Spliceosome gene mutations are key drivers of these malignancies, but their specific role in AF pat...

Strategic roadmap for delivery of clinical trials in rare childhood central nervous system (CNS) tumours: a multi-stakeholder consensus

Abstract Rare paediatric central nervous system (CNS) tumours comprise a biologically-heterogeneous group of low-incidence diseases that present significant challenges to both therapeutic development and clinical research, limiting the availability of high-quality evidence to gui...

The global cardiovascular-kidney-liver-metabolic burden from 1990 to 2023

Background The cardiovascular-kidney-liver-metabolic (CKLM) framework represents the multi-organ interplay of systemic metabolic disorders that drive the global burden of cardiovascular diseases (CVD). Methods This study is a descriptive epidemiological analysis of the Global Bur...

A lattice Boltzmann method for floating oscillating water column WECs

In this study, a hierarchical multi-fidelity modelling framework, combining the lattice Boltzmann method (LBM) and potential-flow approach, is developed to investigate the two-dimensional floating oscillating water column (OWC) wave energy converters (WEC). The framework is built...

Implementing telemedicine under polycrisis: a mixed-methods case study from Myanmar using the RE-AIM framework

Myanmar’s March 2025 7.7-magnitude earthquake intersected with conflict, governance breakdown, and economic collapse, leaving 12.9 million people needing health assistance, yet evidence on how telemedicine functions under such polycrisis conditions remains limited. We conducted a...

Risk of protein intake deficiency during treatment with GLP-1 and GIP/GLP-1 receptor agonists: considerations for secondary sarcopenia

Sarcopenia, characterized by the age-related decline in muscle mass and strength, increases the risk of falls, fractures, disability, and mortality. Type 2 diabetes and obesity frequently coexist with sarcopenia, contributing to the growing clinical challenge of sarcopenic obesit...

Making hidden biases visible in population location data from mobile phones

Abstract Traditional sources of population data, such as censuses and surveys, are costly, infrequent and often unavailable in crisis-affected regions. Mobile phone data (MPD) offer near-real-time, high-resolution insights into population distribution, but their utility is underm...

Shared and Distinct T-Cell Receptor Characteristics of CD4+ and CD8+ Drug-Specific T-Cells In Vitro Generated from Healthy Donors and Hypersensitive Patients

Abstract The initiation of T-cell-mediated drug hypersensitivity reaction requires the formation of a human leukocyte antigen (HLA)-peptide-drug-T-cell receptor (TCR) complex. While specific interactions between HLA molecules and drug antigens are well-defined, the characteristic...

Acceptability of advanced Controlled Human Infection Models: The case of a pneumococcal challenge in people living with HIV and mycobacterial challenge with Bacillus Calmette Guerin in Malawi

Abstract Background Controlled Human Infection Models (CHIM) in which volunteers are experimentally exposed to pathogens are used to study pathogenesis and down select among treatment and vaccine candidates. Scientifically, CHIM studies are best conducted among at-risk population...

When indemnity insurance fails: Parametric coverage under binding budget and risk constraints

Abstract In high‐risk environments, traditional indemnity insurance is often unaffordable or ineffective, despite its well‐known optimality under expected utility. We compare excess‐of‐loss indemnity insurance with parametric insurance within a common mean‐variance framework, all...

Insights Into Public Attitudes for Effective First Responder Communication During a Simulated Mass Casualty Incident

ABSTRACT Effective public communication during Mass Casualty Incidents (MCI) is essential for safeguarding life, maintaining order, and sustaining trust in emergency responders. Yet, high‐pressure, information‐scarce environments make this communication challenging. This mixed‐me...

Cross-cultural adaptation and validation of the Localised Scleroderma Quality of Life Instrument (LoSQI): an international study

Juvenile localised scleroderma (jLS) is a rare disease which impacts negatively on health-related quality of life (HRQoL). We aimed to undertake the cross-cultural adaptation and validation of a novel disease-specific HRQoL measure, the Localised Scleroderma Quality of Life Instr...

Role of Life’s Essential 8 in the association of night shift work with cardiovascular disease and mortality: a prospective cohort study of UK Biobank participants

Background: Night shift work is linked to higher risks of cardiovascular disease (CVD) and mortality, but mechanisms remain unclear. Lifestyle, captured by the American Heart Association's Life's Essential 8 (LE8), may act as a modifiable mediator. We aimed to examine the associa...

Experiences and satisfaction with intensive community care services for children and adolescents with severe mental health disorders: a mixed-methods systematic review

Abstract Intensive community care services (ICCS) are community-based alternatives to inpatient care for young people with severe mental health disorders. This systematic review investigated the experiences and satisfaction associated with ICCS. Nine electronic databases were sea...

Does plastic waste present an infection hazard? Current evidence, surveillance challenges and research priorities

Abstract Unmanaged plastic waste is widespread in settings with limited waste collection, yet its contribution to infectious disease risk remains poorly understood. In this review, we synthesise current evidence on the human health implications of plastic waste, with a specific f...

Day length may impose an ecological constraint on chick provisioning behaviour in a high-latitude seabird

Abstract Variation in daylight hours may shape light-dependent behaviours both across seasons and among latitudinally distinct breeding colonies. We investigated the influence of photoperiod variation on chick provisioning behaviour in a high-latitude seabird, the Manx shearwater...

Management of high-risk (B3) breast lesions in symptomatic practice: evidence review and practical recommendations for multidisciplinary care

Borderline breast lesions (B3 lesions, also termed lesions of uncertain malignant potential or high-risk lesions) represent a heterogeneous group of entities associated with variable risks of malignancy. While the management of screen-detected B3 lesions has become increasingly s...

Regional Dependence of Corvis ST Biomechanical Parameters on Corneal Material Properties: A Finite Element Study

Background: Corvis ST (CVS) provides dynamic corneal response parameters for biomechanical assessment, but conventional metrics may not uniquely reflect region-specific alterations in corneal material properties. This study investigated how regional changes in corneal material pr...

Healing Following Endoscopic Reconstruction of the Anterior Skull Base in Patients With Sinonasal Malignancies

ABSTRACT Background Healing dynamics after anterior skull base (ASB) reconstruction following transnasal endoscopic surgery (TES) for sinonasal malignancies remain poorly characterized. This study aimed to describe the postoperative healing process, quantify time to healing, iden...

Adaptive Electrochemical Aptamer Sensing across Biofluid-Relevant pH Ranges via a Dual-Stage Machine Learning Framework

Reliable electrochemical sensing can be hindered by environmental variability such as pH fluctuations, ionic strength, and nonspecific adsorption, which compromise signal fidelity and quantitative accuracy. Here, we present a dual-stage machine learning-assisted electrochemical f...