Sepsis is a life-threatening response to infection and remains a critical challenge with high morbidity and mortality rates. The Surviving Sepsis Campaign (SSC) guidelines serve as a cornerstone for sepsis management and are pivotal in standardising care. Taylor et al’s article1 scrutinises the real-world implications of updated SSC antibiotic timing recommendations2 and offers critical insights into the practical effects of the revised antibiotic timing guidelines.

Children sometimes have subtle illness presentations and symptom overlap with non-serious conditions.1 Young age also presents a communication barrier. The combination of these factors can lead to diagnostic delays and sometimes misdiagnosis, particularly in emergency department (EDs) that do not see high volumes of children. In the USA, one in three EDs sees fewer than five children daily. A prior study linked low-paediatric ED volume to diagnostic delays in...

Although care for low-risk births in the Netherlands is primarily conducted by midwives, the use of consultant-led care has been increasing for a variety of indications, leading to a high patient burden for consultants. The induction of labour (IOL) of late-term pregnancies has historically been an indication for consultant-led care. This study by Velthuijs et...

As a result of the mass scale of production of plastics since the 1950s, microplastics, defined as particles 1 Microplastics have been linked to reproductive toxicity in both cell culture...

Music-based training programmes, such as learning how to play an instrument or sing in a choir, have been suggested as potential interventions for promoting healthy brain ageing in older adults at risk of cognitive decline because of their ability to enhance cognitive functions and potentially promote neuroplasticity. However, there is limited empirical evidence in older adults at risk of dementia, especially that evaluates both piano and singing interventions and their effects on cognition and neuroplasticity. In this protocol, we outline a study to assess the efficacy of keyboard and singing music training programmes on reducing cognitive decline and other outcomes in older adults with Mild Cognitive Impairment (MCI).

This randomised, single-blind, controlled, parallel-group trial aims to enrol 432 individuals with MCI from the community in Sydney, Australia. Participants are randomly allocated to participate in either keyboard lessons, singing lessons or a film discussion control group once a week for 3 months. The primary objective is to assess the effectiveness of two music training programmes (keyboard and choral singing) for enhancing verbal memory after 3 months compared with control. Additionally, we will examine how these music-based interventions affect other aspects of cognition, mood, sleep, overall well-being, markers of brain plasticity and blood biomarkers of Alzheimer’s disease and neurodegeneration. Tertiary objectives are to identify factors that impact the success of the interventions, such as participation rates, engagement levels and key demographic and clinical features. Outcomes are collected at baseline and at 3 and 9 months. The primary endpoint analysis will include all randomised participants to estimate the treatment effect using intention-to-treat principles. Primary and secondary outcomes will be analysed using linear mixed models and effect size measures will be calculated.

This study will be the first robust, randomised controlled trial to assess the potential and relative value of music engagement for cognitive decline in high-risk MCI individuals, as well as broader effects on other markers of mental health, well-being and neurodegeneration. Co-designed with implementation in mind, the music interventions can potentially be delivered within memory clinic or community settings.

The Sydney University Human Research Ethics Committee (2023-026) has approved this protocol. The trial findings will be shared through conferences, publications and media.

Australian and New Zealand Clinical Trials Registry (ACTRN12623000407695), Registered 21/04/2023 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=385552

2.02 29/11/2024.

To analyse demographic trends and decision-making patterns regarding prenatal diagnosis (PND) in couples at risk for hereditary haemoglobinopathies at the Thalassemia and Rare Haematological Disease Centre in Turin over a 40-year period.

Retrospective observational study analysing demographic and clinical data from 1983 to 2023.

Tertiary care genetic service Centre in Orbassano (TO), Northern Italy.

Couples seeking genetic counselling and PND for hereditary haemoglobinopathies. Selection criteria included couples at risk of having children affected by β-thalassaemia major or Sickle Cell Disease (SCD).

Primary outcomes included acceptance rates of PND and pregnancy termination (TOP). Variables analysed included couples’ age at first consultation, age at first PND, birthplace, employment status, specific haemoglobinopathy risk and number of pregnancies.

The analysis identified three main factors influencing PND and TOP decisions: nationality, type of haemoglobinopathy risk and number of previous pregnancies. Age showed no significant correlation with decision-making patterns. The impact of education level and employment status could not be definitively determined due to unavailable or unfit data.

The 40-year analysis of prenatal diagnosis for haemoglobinopathies in Turin shows evolving trends influenced by immigration patterns, improved medical treatments and cultural factors, leading to increased acceptance of affected pregnancies in recent years, particularly after 2015, due to better disease management and comprehensive healthcare support. This comprehensive analysis of our centre’s experience provides valuable insights that can serve as a model for similar institutions worldwide in supporting couples through carrier screening and PND processes.

Gram negative bloodstream infections (GN BSI) are a leading cause of mortality worldwide, and antibiotic treatment approaches remain understudied. BALANCE+ is a perpetual Bayesian adaptive platform trial to test multiple treatment questions for hospitalised patients with GN BSI. The vanguard phase objective was to test the feasibility of the main trial.

Adaptive platform trial with five initial domains of investigation, each with open label 1:1 randomisation.

Ten hospitals across four Canadian provinces.

Individuals admitted to hospital with blood cultures yielding Gram negative bacteria.

The five initial domains of investigation included: antibiotic de-escalation versus no de-escalation; oral transition to beta-lactam versus non-beta-lactam treatment; routine versus no routine follow-up blood cultures (FUBCs); central vascular catheter replacement versus retention; and, ceftriaxone versus carbapenem treatment for low risk AmpC organisms.

Domain-specific recruitment rates and protocol adherence.

During the vanguard phase, 719 patients were screened, of whom 563 (78.3%) were eligible, with 179 (31.8%) enrolled into the platform. The platform recruitment rate was 1.37 patients/site-week. Recruitment varied by domain: routine versus no FUBC domain 1.23 patients/site-week; oral beta-lactam versus non-beta-lactam domain 0.48; de-escalation versus no de-escalation domain 0.28; low risk AmpC domain 0.02; catheter replacement versus retention domain 0.01. Domain specific protocol adherence rates were 145/158 (91.8%) for routine versus no routine FUBC, 53/60 (88.3%) for oral beta-lactam versus non-beta-lactam, 26/33 (78.8%) for de-escalation versus no de-escalation, 3/3 (100%) for low risk AmpC, and 0/1 (0%) for line replacement versus retention. There was complete ascertainment of all study outcomes in hospital 170/170 (100%) and near complete ascertainment at 90 days 162/170 (95.3%).

The vanguard phase demonstrated overall trial feasibility by recruitment rate and protocol adherence, with differences across interventions, leading to a transition to the main BALANCE+ platform trial with minimal protocol modifications.

NCT05893147.

Older adults transitioning to nursing homes face challenges in adapting to a new environment and imposed lifestyle changes. This study aimed to identify factors associated with poor nursing home adjustment and to assess their impact on 1-year mortality.

This study is a secondary analysis of the KArukera Study of Ageing in ‘Établissement d'Hébergement pour Personnes Agées Dépendantes’ (EHPAD) (KASEHPAD) cohort, a prospective observational study conducted over 1 year in six nursing homes in the French Caribbean.

159 older adults (aged 60 years or older) living in nursing homes who were able to complete the self-administered adaptation scale.

Nursing home adjustment was assessed at baseline using the adaptation scale for older adults to their residence (EAPAR). Bivariate analysis was used to assess associations between adjustment status and sociodemographic or clinical characteristics at baseline. Poisson regressions were used to assess the relationship between 1-year mortality and adjustment status.

A total of 159 older adults (mean age: 79.6 years; male/female ratio: 84/75) were included. The mean length of stay was 4.1 years. Among older adults, 78 (49.1%) were classified as poorly adapted. Age, gender, education level, dependency, cognition and comorbidities were not significantly associated with poor adjustment. In contrast, depressive symptoms, lower social support, lower health-related quality of life, lower subjective quality of life, malnutrition and sleep disturbances were associated with poor adjustment. After 12 months, 14 deaths (17.9%) occurred in the poor adjustment group, compared with 4 (4.9%) in the no major adjustment difficulties group (adjusted relative risk for age, gender and baseline activities of daily living score=4.64 (95% CI 1.53 to 17.5; p=0011).

In a sample of older adults with moderate cognitive impairment, poor adjustment to nursing home was associated with depressive symptomatology and increased 1-year mortality. The issue of adjustment in nursing homes represents an emerging research area that warrants further investigation through dedicated interventional studies.

NCT04587466.

Epidemics pose significant challenges for fragile health systems, particularly in humanitarian emergencies. Recent responses to epidemics such as cholera in Yemen and Ebola virus disease in the Democratic Republic of the Congo have highlighted the lack of effective and integrated coordination. We review existing global models for addressing large-scale epidemics in humanitarian emergencies, identify gaps and inefficiencies, and propose operational recommendations to enhance response mechanisms.

A two-pronged approach was used to identify and critically assess current response coordination frameworks. Using the Arksey and O’Malley framework, a scoping review was undertaken, which was complemented by key informant interviews with humanitarian emergency response experts. The interviews focused on identifying the existing challenges and potential strategies to improve epidemic response in humanitarian contexts.

The scoping review included 51 documents (13 peer-reviewed articles and 38 grey literature documents). We conducted in-depth interviews with 28 respondents representing 17 different agencies and donors.

We focused on two major response architectures: the Incident Management System (IMS) and the cluster system. IMS is an important coordination and response instrument increasingly being used to respond to infectious disease threats.

Outcome measures of interest included the gaps in the current mechanisms to address infectious disease threats in complex humanitarian emergencies.

Unlike the cluster system model, which relies on consensus decision-making, IMS has a command-and-control approach, ensuring rapid decision-making. However, it can also lead to vertical responses that neglect the cross-sectoral and complex needs of affected communities. In addition, we found that the absence of context-specific response coordination mechanisms, with clear roles and responsibilities for involved stakeholders, was a common shortcoming. Fragmented response efforts that sidelined national and local stakeholders and a lack of reliable funding were also identified as important weaknesses.

We recommend the integration of coordination mechanisms into a sufficiently flexible framework that can be adapted to local contexts, while empowering national and local actors and ensuring the continuity of essential humanitarian services. We propose a paradigm shift towards mechanisms that respect humanitarian principles, effectively addressing the epidemic threats while remaining focused on deploying community-centric response efforts.

This study investigates how environmental and household variables relate to groundwater quality in Indonesia.

The research uses data from the 2020 Cross-sectional Household Drinking Water Quality Study, the National Socioeconomic Survey 2020, and climate records.

Indonesia.

The study includes 5965 households across 34 provinces, using descriptive and path analysis techniques.

The microbiological quality of drinking water was primarily focused on Escherichia coli as an indicator of microbial contamination.

Out of 5965 households, only 5.15% had emptied faecal sludge (FS) in the last 3 years, while E. coli contamination was detected in 71.21% of the samples. Improved drinking water sources and proper FS emptying practices were associated with better water quality.

These findings highlight the urgent need for enhanced surveillance and evidence-based policymaking to safeguard both drinking water quality and sanitation practices, which are crucial for public health and environmental sustainability.

Hospital length of stay (LOS) is a key indicator of hospital efficiency and quality of care, but a reliable metric for benchmarking LOS remains problematic. This report describes a time-to-event methodology to generate a hospital standardised LOS ratio (HSLR).

Retrospective observational analysis of LOS from a jurisdictional administrative dataset using a time-to-event (hazard of discharge) analytic approach to generate risk-adjusted LOS (predicted LOS—pLOS), and the HSLR (= (sum observed LOS)/(sum total pLOS)).

219 (public and private) acute-care hospitals in the State of Victoria, Australia, adult population 5.28 million.

2.73 million adult multiday separations and 15.53 million bed-days from July 2019 to June 2024.

Nil.

Descriptive statistics for annual mean LOS (aLOS), pLOS and HSLR at the hospital level with model fit assessed for calibration (Cox-Snell residuals), classification (aLOS and HSLR results for hospital-years compared to benchmark), variance (intraclass correlation coefficient (ICC) at provider level) and model dispersion (value () and random effect SD ()) characteristics.

Observed LOS was markedly right skewed and autocorrelated (p3 SD of benchmark); whereas 936 (99.5%) HSLR values were inliers (

aLOS is a simple descriptor but poor comparator. Time-to-event survival analytic models furnish risk-adjusted pLOS and HSLR metrics which indicate that the majority of LOS variation is due to patient-related, not hospital, factors.