Adverse pregnancy and perinatal outcomes (APPOs), including pre-term birth, pre-eclampsia and gestational diabetes, can result in maternal and neonatal morbidity and mortality, parental anxiety and increased healthcare costs. A better understanding of the causes of APPOs is essential to inform lifestyle and pharmaceutical interventions for their prevention and management. Given the difficulty of undertaking randomised controlled trials in pregnant women, triangulating evidence from across methods with different sources of bias may improve causal inference for APPOs. The purpose of the Mendelian randomisation in pregnancy (MR-PREG) collaboration is to support such triangulation using genetic (eg, Mendelian randomisation (MR)) and non-genetic (eg, partner negative controls) approaches to investigate the causal effects of maternal exposures on a comprehensive set of APPOs.

The MR-PREG collaboration includes individual participant data from three birth cohorts (two from the UK and one from Norway) and UK Biobank, as well as summary data from FinnGen and publicly available genome-wide association studies (GWAS). Data have been harmonised across studies and currently include information on up to 35 APPOs in up to 707 797 women.

The main aims of MR-PREG are to strengthen the evidence base for (1) prevention, by advancing understanding of maternal lifestyle factors on APPOs, (2) the role of pre-conceptional health, by improving understanding of the effect of maternal pre-existing conditions on APPOs, and (3) treatments, by evaluating the efficacy and safety of existing medications used for pre-existing conditions, and by identifying and testing novel or repurposed therapies for APPOs. To date, our published work has mainly addressed aims 1 and 3. Examples include triangulation of evidence from MR, conventional multivariable regression and paternal negative control, showing that higher maternal body mass index increases the risk of multiple APPOs, as well as the identification of maternal circulating metabolites and proteins that may influence birth weight.

Future priorities include increasing diversity within the MR-PREG collaboration by expanding representation of participants from non-European ancestries. We are also integrating molecular data, including circulating protein levels and placental transcriptomics, to better characterise the molecular mechanisms underlying APPOs. Additionally, we are using whole-exome and whole-genome sequencing to identify novel causal genes and to inform the prioritisation of candidate therapeutic targets for APPOs.

In Guinea, around 17 new cases of HIV occurred each day and it was responsible for 10 deaths a day in 2022. In addition to this burden, regional disparities have emerged over the years. This study aimed to describe and explain the uneven distribution of HIV infection in Guinea using spatial analysis.

This is a retrospective cross-sectional secondary analysis using data from the 2012 and 2018 Guinea Demographic and Health Survey (DHS).

This study was conducted in Guinea.

We conducted a secondary analysis of data from 300 and 400 enumeration areas, respectively, included in the 2012 and 2018 DHS Program for participants aged 15 to 49 who underwent HIV testing. Spatial analysis methods, including Moran I, interpolation and Kulldorff’s scan statistic, were applied to examine variation and identify high-risk spatial clusters of HIV prevalence rate. The potential relationship between HIV status and socio-demographic, biological, behavioural and socio-environmental explanatory variables was explored using logistic regression at individual level.

In total, 7922 individuals in 2012 and 8539 in 2018 participated in the study. HIV prevalence rate in 2012 and 2018 was 1.9% and 1.5%, respectively. Across Guinea’s 33 prefectures, HIV prevalence rate varied from 0% to 3.9% in 2012 and from 0% to 3.5% in 2018. Spatial analysis identified four significant high-risk spatial clusters in 2012 and one high-risk cluster in 2018. The high-risk clusters in 2012 were in Kissidougou (relative risk (RR)=3.97; p value=0.037), Matam (RR=2.80; p value=0.019), Pita (RR=3.46; p value=0.035) and N’zerekore prefectures (RR=6.08; p value=0.027), the high-risk cluster in 2018 was located in Boffa prefecture (RR=3.95; p value=0.022). Factors significantly and positively associated with HIV infection in 2012 included age class 25–34 (aOR: 2.20; 95% CI 1.40 to 3.47), age class 35–49 (aOR: 2.43; 95% CI 1.51 to 3.92), number of HIV healthcare facilities>30 (aOR: 2.14; 95% CI 1.34 to 3.43). HIV infection was significantly lower in men (aOR: 0.52; 95% CI 0.35 to 0.77). In 2018, in addition to age groups 25–34 years (aOR=1.90; 95% CI 1.18 to 3.04) and 35–49 years (aOR=2.25; 95% CI 1.40 to 3.64), the Soussou ethnicity group (aOR=1.73; 95% CI 1.04 to 2.87) was also positively associated with HIV infection.

This study describes the spatial distribution of HIV prevalence rate and identified high-risk clusters in Guinea. In addition, risk factors associated with HIV status were identified. The information can help prioritise surveillance and response efforts to control HIV in Guinea.

Post-COVID-19 respiratory infection patterns require updated epidemiological data. To investigate the prevalence and infection patterns of upper respiratory tract infections (URTIs), a survey was conducted to assess the presence of influenza A (IFV A), influenza B (IFV B), respiratory syncytial virus (RSV), human rhinovirus (HRV), adenovirus (Adv), and SARS-CoV-2 among outpatients diagnosed with URTIs.

A community-based cross-sectional study.

Three cities in Sichuan, China.

1174 outpatients diagnosed with URTIs from December 2023 to February 2024.

Oropharyngeal swabs were collected using sterile flocked swabs, preserved at 4°C and analysed within 24 hours. Viral nucleic acid was extracted automatically and detected via multiplex PCR-melting curve analysis.

Results showed in positive detection rates varied significantly by age (p

This study reveals persistent influenza dominance and age-stratified co-infection risks and provides critical baseline data for optimising respiratory infectious disease control in the post-pandemic era.

With the global lymphatic filariasis (LF) elimination goal set to 2030, it is necessary to address challenges hindering the last-mile efforts. Never treated individuals are those who self-report that they have never taken the drugs for LF during any mass drug administration (MDA) rounds. Hence, it is necessary to identify these individuals and assess if they can be potential reservoirs of infection and understand the reasons for non-compliance.

This mixed method study, proposed for a period of 2 years, will assess the filarial infection status of never treated individuals from four LF-endemic districts in India. A multi-stage cluster sampling design will be followed to select the health subcentres from one highly endemic block in each of the selected districts. A random sample of 2535 never treated individuals from each block will be assessed for filarial infection by a cross-sectional blood survey. Qualitative surveys, including in-depth interviews and focus group discussions, will be conducted to elicit the reasons for their non-compliance. The prevalence of filarial infection will be summarised as frequencies and percentages. Univariate and multivariate logistic regression analysis will be performed to find the factors associated with filarial infection. Exploring the various reasons, such as sociocultural, behavioural and programmatic drivers of non-participation, will enable the programme to design tailored communication and community engagement strategies to bring them under the umbrella of MDA and thereby support the ongoing LF elimination efforts.

This study has been approved by the institutional ethics committee (IHEC 07-0824/N/F, dated 25 September 2024). After completion of the study, a workshop will be held with all stakeholders to disseminate the study findings.

To assess the prevalence of dyslipidaemia and associated risk factors, and evaluate low-density lipoprotein cholesterol (LDL-C) target attainment among adults in the Western Province of Sri Lanka.

Cross-sectional epidemiological study.

Western province, Sri Lanka.

Participants were recruited through a community-based survey of non-institutionalised adults aged ≥20 years residing in the Western Province for at least 1 year (n=1800), using multistage stratified random cluster sampling.

Dyslipidaemia was defined according to the National Cholesterol Education Programme/Adult Treatment Panel III guidelines. Prevalence estimates are presented with 95% CIs. Multiple logistic regression results are reported as adjusted ORs with 95% CIs.

Cardiovascular risk in participants aged ≥40 years was assessed using the WHO laboratory-based cardiovascular disease (CVD) risk chart for South-East Asia. Achievement of LDL-C targets was evaluated according to the Sri Lankan guidelines on management for dyslipidaemia management.

Data from 1333 subjects were analysed. Mean age was 49.8 (±14.9) years. The majority were females (63.6%). The age-sex standardised prevalence of any form of dyslipidaemia was 73.3% (95% CI 70.9% to 75.7%). Age standardised prevalence in females was 77.1% (95% CI 74.3% to 79.9) and males was 69.3% (95% CI 65.3% to 73.3%). The most prevalent type of dyslipidaemia was low high-density lipoprotein cholesterol (HDL-C) (46.6%, 95% CI 43.9% to 49.3%), followed by high LDL-C (32.5%, 95% CI 30.0% to 35.0%) and high triglycerides (21.7%, 95% CI 19.5% to 23.9%). Low HDL-C was positively associated with smoking (OR: 1.89, 95% CI 1.16 to 3.18) and inversely with male sex (OR: 0.29, 95% CI 19 to 0.45) and physical activity (OR: 0.71, 95% CI 0.51 to 0.99). Elevated LDL-C was associated with male sex (OR: 1.84, 95% CI 1.2 to 2.89), diabetes (OR: 5.34, 95% CI 3.53 to 8.08), and hypertension (OR: 1.62, 95% CI 1.18 to 2.23). Male sex (OR: 1.85, 95% CI 1.08 to 3.18), diabetes (OR: 1.9, 95% CI 1.4 to 2.58) and hypertension (OR: 1.81, 95% CI 1.12 to 2.91) were positively associated with elevated triglycerides, whereas urban sector (OR: 0.54, 95% CI 0.32 to 0.91) was protective. Physical activity (OR: 0.65, 95% CI 0.44 to 0.98) and male sex (OR: 0.52, 95% CI 0.31 to 0.89) inversely associated with any form of dyslipidaemia, whereas diabetes (OR: 7.08, 95% CI 3.99 to 12.55), hypertension (OR: 1.93, 95% CI 1.36 to 2.73), and body mass index (OR: 1.06, 95% CI 1.01 to 1.2) were positively associated. The majority of participants (66.6%) had a

Three-fourths of adults in Western Province, Sri Lanka had any form of dyslipidaemia, more common in females. Low HDL-C was the most frequent abnormality. Most participants aged above 40 years were at low cardiovascular risk, yet two-thirds failed to meet LDL-C targets. Non-communicable disease prevention in Sri Lanka should expand through population-wide strategies, including awareness campaigns, promoting self-monitoring, targeted education and surveillance to evaluate interventions.

Dietary recommendations should be based on scientific evidence, and ideally, systematic reviews (SRs) are conducted as part of the guideline development process. The usability of SRs for decision-making is primarily determined by the quality of the evidence from available primary studies, as well as the quality of the SRs themselves. A comprehensive SR protocol ensures high-quality implementation and minimises bias, while making these protocols publicly accessible, promotes transparency and prevents redundancy. The PROSPERO database offers valuable insights into planned methodologies. The aim of this study is to investigate the completeness of reporting in SR protocols for diet- or nutrition-related trials, determine how this has changed over time, and examine the publication of completed SRs by comparing their content with those described in the corresponding protocols.

We developed a systematic search strategy for PROSPERO to identify nutrition- or diet-related SR protocols registered at two different time points (2019 and 2024). Following a screening process to identify eligible protocols, relevant predefined data will be extracted. Subsequently, a structured search will be conducted to identify potential journal publications of the selected protocols, as well as publications describing the results of the SRs, from which relevant predefined data will be also extracted. The methodology of the published articles will be compared with the corresponding a priori protocols registered in PROSPERO. The PROSPERO records registered in 2019 will be compared with those registered in 2024. The results will be evaluated by descriptive statistics, the reporting completeness of PROSPERO records will be assessed based on Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P), the planned use of any approaches to assess certainty of evidence will be investigated, and the adherence of published SRs to the methodological details outlined in their corresponding PROSPERO entries will be examined.

Since both databases and publications used in this study are publicly available, ethical approval is not required. Results of the study will be submitted for publication in an international, peer-reviewed journal.

The present study has previously been registered with the Open Science Framework (https://osf.io/8fsx7).

This prospective community-based cohort study (Acute Respiratory Infection Epidemiological Characteristics Assessment Study (ARI-ECAS)) aims to systematically monitor acute respiratory infection (ARI) incidence, characterise multiple pathogen coinfection patterns and explore microbial landscape dynamics in Shanghai’s general population. By integrating syndromic surveillance, molecular diagnostics and metagenomic sequencing, the study seeks to enhance understanding of ARI epidemiology, seasonal variation and host–pathogen interactions to inform predictive modelling and optimise public health interventions in high-density urban environments.

The study enrolled 15 199 permanent residents from all 16 districts of Shanghai, with baseline oropharyngeal swab samples across five representative districts (Xuhui, Jing’an, Jiading, Songjiang and Fengxian). Inclusion criteria required residency ≥6 months and consent for weekly follow-ups. Exclusion criteria addressed mobility limitations (planned relocation >6 months) and recent ARI history. Participants provided demographic, behavioural and clinical data via the Shanghai Health Cloud platform, with baseline and symptomatic-phase biological samples collected for analysis.

During the initial 8-month surveillance period (May 2024–January 2025), the ARI-ECAS cohort demonstrated critical insights into the epidemiology of acute respiratory infections in Shanghai’s urban communities. Among 15 199 participants, 10.96% reported symptomatic episodes, of whom 21.43% experienced recurrent infections. Pathogen detection using targeted next-generation sequencing (tNGS) identified microbial aetiologies in 53.52% of symptomatic cases, revealing a high prevalence of coinfections: 27.96% involved dual pathogens, while 33.01% showed polymicrobial interactions (≥3 pathogens). Notably, 85.09% of symptomatic episodes were self-managed, underscoring a low healthcare-seeking rate (14.91%) consistent with patterns observed in urban China during postpandemic transitions.

The current phase of data collection will conclude in June 2025; however, syndromic surveillance and tNGS protocols will be sustained to capture multiyear seasonal transmission patterns. To enhance comparative rigour, future protocols will aim to collect samples from participants during asymptomatic periods in the subsequent year to serve as seasonal baseline controls. Building on this foundation, the study will integrate contact behaviour and mobility surveys to quantify parameters critical for understanding pathogen transmission dynamics (eg, household contacts and public transportation usage). Furthermore, pathogen detection and metagenomic data will be combined with transcriptomic and metabolomic profiling in selected cases to model multipathogen interaction networks and delineate host immune response pathways, thereby advancing mechanistic insights into polymicrobial cocirculation.

This study investigated occupational exposure to radiofrequency electromagnetic fields (RF EMF) using two job-exposure matrices (JEMs) and risk of glioma.

Population-based family case–control study.

Cases were recruited from participating hospitals in the Australian states of New South Wales, Queensland, Tasmania, Western Australia and Victoria between January 2013 and November 2017.

The study population consisted of 467 cases of glioma and 367 family controls recruited for the Australian Genomics and Clinical Outcomes of Glioma case–control study between 2013 and 2017. Participants completed questionnaires on demographic and other information, including a detailed occupational history.

Exposure to RF EMF was estimated using both the multicountry case–control study INTEROCC JEM and the Canadian JEM (CANJEM).

ORs and 95% CIs were calculated from logistic regression models adjusted for relatedness between cases and controls, sex, age, ethnicity, education level, smoking status and alcohol consumption.

There was no statistically significant positive association overall for risk of glioma when applying either JEM. For the highest compared with the lowest quartile of lifetime exposure, results using the INTEROCC JEM showed an OR of 0.74 (95% CI 0.47 to 1.15) for electric fields and 0.92 (95% CI 0.58 to 1.45) for magnetic fields, while the CANJEM showed an OR of 0.85 (95% CI 0.54 to 1.32). We also did not observe associations when applying different assumptions regarding latency or time windows or with glioma grade.

Overall, this study found no evidence of an association between occupational RF EMF exposure and glioma. Future research should focus on refining occupational RF EMF exposure assessment.

The COVID-19 pandemic threatened global HIV Test and Treat Efforts. We assessed whether it affected (1) the number of antiretroviral therapy (ART) initiations and (2) the proportion of timely ART initiations in people living with HIV (PLWH) globally.

Quasi-experimental, regression discontinuity design using routinely collected data from HIV clinics.

360 HIV care clinics across primary and secondary levels of care, participating in the International epidemiology Databases to Evaluate AIDS consortium, in 31 countries in Asia, Africa and the Americas.

177 391 PLWH (≥18 years old) who initiated ART 2 years before and 1 year after the onset of the COVID-19 pandemic in their country.

The primary outcome was the number of ART initiations per week; the secondary outcome was the proportion of timely ART initiations (ie, ART initiated within 7 days of enrolment). We assessed changes in these outcomes in the 52 weeks after compared to the 104 weeks before the pandemic onset, defined using each country’s peak Oxford Stringency Index score between January and June 2020.

Among 177 391 newly enrolled PLWH, 129 743 initiated during the pre-pandemic and 47 648 post-pandemic onset. 72.5% of ART initiations were timely pre-pandemic whereas 82.3% were during the pandemic. Absolute number of ART initiations remained stable during the pandemic period in 25 of 31 countries but decreased significantly in six countries: India (–5.0 p, 95% CI –9.2 to –0.7), Rwanda (–10.0 p, –18.6 to –1.4), Malawi (–33.4 p, –54.1 to –12.3), South Africa (–130.8 p, –188.6 to –73.1), Zimbabwe (–12.9 p, –20.0 to –5.8) and Togo (–19.6 p, –39.1 to –0.1). The proportion of timely initiations was stable in all countries except in Kenya (+4.2 pp, 95% CI +0.3 to +8.1) and in Mozambique (+2.7 pp, +0.5 to +4.9), where it increased significantly.

A deeper understanding of the factors that contributed to sustaining ART initiations, particularly in settings with stringent public health and social measures, is needed. These insights should inform preparedness strategies, resource allocation and policy development to ensure continuity of HIV services during future health emergencies, in line with World Health Organisation recommendations.

Understanding the regional blood group distribution is essential for safe transfusion practice and efficient blood bank inventory management, as local variations in the ABO and Rh blood group systems guide donor recruitment and minimise shortages and transfusion incompatibilities. This study aimed to determine the prevalence and distribution of ABO and Rh blood groups among individuals attending a tertiary care hospital in Lalitpur, Nepal.

Retrospective cross-sectional study.

Department of Transfusion Medicine and Blood Bank of KIST Medical College and Teaching Hospital.

All individuals attending a tertiary care hospital between 17 July 2018 and 31 July 2023 who underwent ABO and Rh blood group testing were included in this study. Individuals younger than 4 months of age and those with discrepant blood group results were excluded.

Frequency and distribution of ABO and Rh blood groups among different categories.

A retrospective cross-sectional study was conducted among individuals attending a tertiary care hospital after obtaining ethical approval from the Institutional Review Committee (reference number: 2080/81/91) of KIST Medical College and Teaching Hospital. The blood grouping and sociodemographic data of individuals were analysed using SPSS V.17.0, and statistical significance was established at p

Out of 20 966 individuals, 12 956 (61.80% (95% CI 61.14% to 62.45%)) were female, and 8010 (38.20% (95% CI 37.55% to 38.86%)) were male. The most common blood group was A+ 6629 (31.62% (95% CI 30.99% to 32.25%)), while AB– was the least common blood group 49 (0.23% (95% CI 0.17% to 0.30%)). The RhD+ cases were 20 432 (97.45% (95% CI 97.24% to 97.67%)) and the RhD– cases were 534 (2.55% (95% CI 2.33% to 2.76%)). O+ blood (OR 1.25 (95% CI 1.18 to 1.32), p

Of the two major blood group systems, the ABO and RhD systems, A+ and RhD+ blood groups were the most prevalent among individuals attending a tertiary care hospital. Understanding the regional distribution of blood groups supports effective blood bank management and transfusion services, ultimately improving patient care.

Individuals experiencing moderate to severe mental illness have low rates of workforce inclusion, with a consequence of high welfare dependency, affecting both societal costs and health. Individual Placement and Support (IPS) is an approach to supported employment where the goal is to help people obtain jobs on the open rather than sheltered labour markets. Despite multiple randomised controlled trials (RCTs) indicating that the IPS model enables employment better than treatment as usual, with widespread adoption in some jurisdictions, the broader impacts of this large-scale implementation on mental health, quality of life and social functioning remain unknown.

Between 2012 and 2019, Norway introduced IPS through both local and national government projects. This study assesses the social and economic benefits of the implementation of IPS using Norwegian registry data, focusing on 18–45-year-old people receiving specialist mental healthcare, and who did not have steady employment at treatment start. Instead of assessing IPS efficacy in an RCT design, we use a naturalistic study design, evaluating IPS effectiveness by comparing aggregate population-level outcomes over time between areas where IPS was not available.

In work package (WP) 1, we mapped the availability and implementation of IPS across Norway. This involved analysing information on funding, resource and capacity levels to understand how IPS had been rolled out across the country. While completed, we include a description of WP1 here, as it informs WP2 and WP3. WP2 is an effectiveness evaluation investigating the population-level outcomes of implementing IPS, focusing on health, mortality, quality of life and social functioning. Finally, in WP3, we assess the financial implications of implementing IPS from a public purse perspective, synthesising data on resource use and costs of implementation with data from WP2.

Overall, we will examine the societal effects of IPS implementation on employment, welfare dependency, mental healthcare use, emergency care visits, self-harm and suicide, general mortality, crime and victimisation. Emphasis will be on long-term outcomes, and we will model the economic consequences of IPS. This study aims to inform policy making and strategies for implementing IPS at scale.

This is an effectiveness study using registry data. The Regional Committee for Medical Research Ethics Northern Norway, REK North has approved the use of registry data without informed consent for this project (approval number 134553).

The findings will be disseminated both in academic peer-reviewed journals, directly to informants in WP1, to the public through media and the project website, and at relevant conferences and seminars for specific relevant target groups.

Not applicable

To assess cardiovascular health (CVH) metrics using the American Heart Association’s Life’s Simple 7 (LS7) tool as a comprehensive measure of several metabolic and behavioural risk factors for cardiovascular diseases.

Cross-sectional study, nationally representative Iran STEPwise approach to non-communicable diseases risk factor surveillance (STEPS) survey 2021.

Iran, 2020–2021.

25 202 adult individuals aged 25 years and older participated in the STEPS survey.

Using the LS7 framework, seven factors were assessed: current smoking, body mass index (BMI), physical activity level, modified healthy diet score components, total cholesterol, blood pressure and fasting plasma glucose (FPG). Each factor was categorised into three levels of poor, intermediate and ideal, according to the LS7 methodology.

The study participants had a sex distribution of 55.5% females. The findings revealed a high prevalence of ideal levels of smoking (80.1%; 95% CI 79.3 to 81.0), total cholesterol (69.4%; 95% CI 68.5 to 70.4) and FPG (61.0%; 95% CI 60.0 to 62.1). BMI and blood pressure were ideal in about one-third of the population (33.0%; 95% CI 32.1 to 34.0, and 30.5%; 95% CI 29.6 to 31.4, respectively). However, only 13.3% (95% CI 12.6 to 14.0) of participants achieved ideal levels of physical activity, and a mere 0.4% (95% CI 0.3 to 0.6) adhered to an ideal healthy diet. Modest disparities in CVH metrics were observed across provinces and between two sexes. Ideal CVH status was significantly associated with lower risks of major diseases such as ischaemic heart disease, diabetes and chronic kidney disease.

Despite favourable scores in some CVH metrics, critical gaps in diet and physical activity highlight the need for intensive public health efforts to enhance CVH in Iran. The study emphasises the urgency of implementing region- and sex-specific public health policies.

To assess the impact of a National Enhanced Service (NES) incentive for weight management that financially rewarded practices for each eligible patient referred to a weight management programme.

Interrupted time-series analysis to examine the rate of weight management referral and weight management advice.

Primary healthcare records from January 2018 to December 2024 in the Oxford Clinical Informatics Digital Hub, covering 8.3 million patients in 1198 primary care clinics around England.

NES payments to practices for weight management were introduced in April 2021.

The rate of referral increased from 1 referral per 1000 patients per month before the incentive to around 4 referrals per 1000 patients per month afterwards. There was no evidence that the increase differed by age, gender, ethnic group or socioeconomic status. The occurrence of weight management advice was unchanged by the introduction of the NES and was at least three times more common than referral to weight management services.

The NES was associated with a fourfold increase in referrals to weight management services. However, clinicians are much more likely to offer advice rather than a referral to a weight management programme. There is a clear opportunity to improve outcomes for patients by encouraging greater use of referrals to effective weight management services in place of advice.

To explore how well the primary care system in Scotland works for adults with intellectual disabilities (ID), using the rate of unplanned hospital admissions for ambulatory care sensitive conditions (ACSC) as a proxy indicator. As part of this, to investigate those rates and rate ratios among adults with ID and without ID, adjusting for the prevalence of a given ACSC in each population. The secondary aim was to explore deaths due to ACSC among the ID and no-ID populations.

A population-based retrospective cohort data linkage study of adult respondents to Scotland’s 2011 Census. Self-reported or proxy-reported ID status from the Census was linked to hospital admissions data and deaths data. The cohort was followed until the end of 2019. The prevalence of ACSCs in each population was calculated from aggregate-level data published by the National Health Service, as it was not possible to use the linked dataset for this purpose.

Whole population of Scotland.

People aged 18+ on census day (27 March 2011), including all adults with ID (n=16 840) and a 15% randomly selected comparator sample of adults without ID (n=566 074).

Crude and age-sex standardised incidence rates and ratios; cumulative incidence; prevalence ratios. The exposure was ID status, and the outcomes were (1) unplanned ACSC hospital admission, (2) death with an ACSC condition listed as the main cause on the death certificate and (3) death with an ACSC condition listed as one of the causes on the death certificate.

Adults with ID under the age of 55 had only a slightly higher risk of an unplanned ACSC hospitalisation than their general population counterparts (standardised incidence ratio 1.11; 95% CI 1.03 to 1.20). After adjusting for different ACSC prevalence in ID and non-ID cohorts, this difference in risk disappeared. These findings contrast with existing evidence from England, where a much higher unadjusted risk of unplanned ACSC hospitalisations was found among people with ID. Adults with ID had a higher risk of dying due to ACSC than adults without ID (standardised mortality ratio 2.54; 95% CI 2.19 to 2.95).

Our findings on unplanned ACSC hospitalisations suggest that the primary care system in Scotland appears to be similarly effective for adults with ID than for adults without ID. However, the higher risk of dying from ACSC among people with ID suggests that this system is less effective for people with ID. Future research should investigate this tension and aim to understand why the operation of the primary healthcare system seems to be worse with regards to ACSC mortality than with regards to unplanned ACSC hospitalisations.

Child mortality continues to pose a major public health challenge across Asia. This study examines trends in under-5, infant and neonatal mortality and identifies key determinants, spatial risk patterns and projections through 2030 using spatiotemporal modelling.

We used national-level data from 41 Asian countries, representing over 80% of Asia’s population, between 2000 and 2022, incorporating 26 health, environmental and sociodemographic indicators. A hierarchical Bayesian model using Integrated Nested Laplace Approximation, incorporating fixed effects, spatially structured and unstructured random effects, and temporal smoothing, was used. Model performance was assessed via the Deviance Information Criterion, Watanabe-Akaike Information Criterion, coefficient of determination (R²), root mean squared error (RMSE) and mean absolute error metrics.

Under-5 mortality decreased significantly (p

The study highlights the critical role of immunisation and maternal education in reducing mortality, and the need for more targeted neonatal interventions. The white-box modelling framework enables both interpretability and reliable forecasting, supporting data-driven policy planning toward achieving advanced, equitable child survival, as outlined in Sustainable Development Goal 3.2.

Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to identify the characteristics of patients at higher risk of readmission.

Retrospective cohort study.

North-east Italy (Marca Trevigiana Local Health Authority).

The study examined a total of 39 467 index admissions from hospital discharges (SDO) in the 890 000-inhabitant area during 2022.

Readmission rates and 95% CIs were computed by risk factor, age and type of admission (surgical or medical). A logistic mixed-effects model was used to estimate readmission OR, adjusting for potential confounders.

A total of 2197 readmissions occurred within 30 days of the index admission, resulting in an overall rate of 30-day readmissions of 6.7% (CI 6.4% to 7.0%). The median time to readmission was 11 days (IQR 5 to 20). In the multivariate analysis, after adjusting for age and sex, the following clinical conditions were associated with a higher risk of readmission: alcohol-related disease (OR=2.06, CI 1.36 to 3.13), metastatic cancer (OR=1.98, CI 1.57 to 2.50), epilepsy (OR=1.93, CI 1.36 to 2.75), dialysis or end-stage kidney disease (OR=1.92, CI 1.39 to 2.66), chronic obstructive pulmonary disease (OR=1.88, CI 1.49 to 2.36), stoma (OR=1.72, CI 1.22 to 2.44), transplant (OR=1.62, CI 1.03 to 2.55), being bedridden (OR=1.57, CI 1.28 to 1.93), anaemia (OR=1.57, CI 1.35 to 1.83), urinary tract infection (OR=1.54, CI 1.30 to 1.83), pneumonia (OR=1.52, CI 1.31 to 1.75), dementia (OR=1.49, CI 1.24 to 1.79), diabetes (OR=1.37, CI 1.17 to 1.61) and transfusion (OR=1.34, CI 1.03 to 1.73).

Several chronic and acute conditions at index admission significantly increased the risk of readmission. Strengthening transitional care, outpatient services and palliative care could mitigate readmissions.

In rural sub-Saharan Africa (sSA), the burden of antimicrobial resistance (AMR) remains high. As AMR continues to rise, there is a strong need for practical, implementable surveillance to monitor and mitigate risks, as well as inform timely, evidence-based clinical decision-making. Emerging evidence points to possible community-level drivers, such as transmission between human, animal and environmental reservoirs as contributing factors, yet microbiological surveillance or opportunities for wastewater-based surveillance are often limited and insufficient in these settings. Therefore, alternative sustainable and affordable approaches are needed. We intend to build on the demonstrated potential of metagenomic profiling of pooled faecal material, which accurately predicted population-level AMR prevalence in invasive Enterobacterales infections.

We aim to validate this metagenomic pooled approach on additional populations, and to evaluate whether AMR patterns could be similarly predicted from surveillance of community One Health reservoirs. We will assemble existing data from hospital-based microbiology diagnostic laboratories in rural Burkina Faso and Kenya, and determine to what extent community-level metagenomic data, and/or faecal material of patients on hospital admission, can predict AMR in clinical isolates. We will perform community-level surveys in eight clusters per country, randomly selecting 15 households per cluster. We will systematically sample suspected environmental AMR exposure sites in and around households (soil, drinking water, latrines, chicken faeces) and collect data on community-level antibiotic use, hygiene practices, contact with domestic animals and sanitary facilities. Samples and data will be collected twice: during the dry and during the rainy season.

In addition to evaluating the accuracy of predicting resistance in clinical isolates, we will quantify community-level exposure risks. We will conduct metagenomic profiling on pooled DNA extracts from human stool samples (hospital and community-level) and from household environments. Bayesian statistical models will quantify relationships between AMR gene abundance in the environment and in human stool, and invasive bacteria identified among clinical patients, accounting for geography and seasonality. A cost-utility analysis will determine under what circumstances the use of pooled metagenomic data to inform empirical antibiotic policies would represent an efficient use of resources.

The proposed surveillance protocol is developed in partnership with local communities and local and international researchers and has received ethical approval in Kenya and Burkina Faso. It will assess whether intermittent, pooled-sample metagenomics provides a viable, low-cost and practical approach for population-level AMR surveillance in settings that—like many in rural sSA—lack systematic microbiological diagnostics and where sewage systems for wastewater-based surveillance are absent. By providing an alternative to routine microbiological-based surveillance where this proves challenging to implement, this approach may help improve treatment outcomes, contribute to equity and public health. Findings will be disseminated through peer-reviewed publications and academic conferences and will contribute to the recently proposed WHO AMR surveillance strategy, which combines survey-based approaches with routine AMR surveillance.

To determine the prevalence and factors associated with pain-related disabilities among First Nations people living off-reserve in Canada in 2017.

Secondary analysis of the 2017 Aboriginal Peoples Survey, a cross-sectional survey of individuals living in private dwellings throughout Canada.

First Nations people living off-reserve aged 15 years and older (n=9115; weighted n=482 066).

Pain-related disabilities, defined as pain-related activity limitations lasting ≥6 months.

Overall, 22.1% (95% CI 20.9% to 23.4%) of First Nations people living off-reserve reported pain-related disabilities. Prevalence was higher among females (26.1%; 95% CI (24.3% to 28.0%)), increased with age (34.3%; 95% CI (30.3% to 38.5%) among those 45 to 54 years) and was similar across geographic areas (ranging from 21.0%; 95% CI (18.3% to 23.9%) to 22.5%; 95% CI (20.8% to 24.2%)). Pain-related disabilities increased with the number of coexisting disabilities (96.2%; 95% CI (94.3% to 97.5%) among those with >3 disabilities) and was highest among those reporting physical disabilities (ranging from 88.2%; 95% CI (85.6% to 90.4%) for those with mobility disabilities to 91.0%; 95% CI (88.6% to 92.9%) for those with disability related to flexibility). Regression models suggested that individuals with unmet basic needs, housing dissatisfaction, unmet healthcare needs, a history of mental health consultations, part-time or no employment, chronic conditions, residential school attendance or a low sense of belonging were more likely to report pain-related disabilities.

Pain-related disabilities are common among First Nations people living off-reserve, and their aetiology may be multifactorial. Continued collaboration with Indigenous partners is required to contextualise findings and to inform culturally responsive clinical and rehabilitation strategies.

This study aimed to determine whether certain lifestyle factors, specifically alcohol consumption, smoking, physical activity, sleep duration and sleep quality, are associated with an increased risk of metabolic syndrome (MetS) and to assess how changes in lifestyle behaviours over time influence MetS prevalence in the middle-aged Korean population.

Community-based, prospective cohort study.

South Korea, baseline in 2017–2019 and follow-up in 2020–2022.

The study included 1436 adult individuals aged ≥30–59 years.

The primary outcome of this study was the prevalence of MetS at follow-up, determined according to established diagnostic criteria. Secondary outcomes included the association between MetS and five key lifestyle factors: alcohol consumption, smoking, physical activity, sleep quality and sleep duration. Lifestyle changes were categorised into four groups based on stability between baseline and follow-up assessments. Outcome measures remained consistent with the study’s initial protocol, with no modifications to the planned variables or measured criteria.

The prevalence of MetS increased from 15.3% at baseline to 19.6% at follow-up. At follow-up, insufficient physical activity (OR=1.42, 95% CI 1.06 to 1.92) and poor sleep quality (OR=1.37, 95% CI 1.02 to 1.84) were significantly associated with MetS. Among lifestyle change patterns, long-term unhealthy physical activity (OR=1.57, 95% CI 1.03 to 2.39) and sleep quality (OR=1.50, 95% CI 1.01 to 2.24) behaviours were associated with an increased risk of MetS. Poisson regression analyses of incident cases showed that only unfavourable changes in sleep duration were significantly associated with incident MetS (rate ratios=1.74, 95% CI 1.02 to 2.95). However, no significant associations were observed for other lifestyle change patterns, including behaviours that improved or worsened over time, and no meaningful associations were identified for non-significant lifestyle factors, such as smoking and alcohol consumption.

The prevalence of MetS was associated not only with individual lifestyle factors but also with long-term patterns of unhealthy behaviours, with persistent shortage of physical activity, poor sleep quality and inadequate sleep duration identified as significant contributors to increased MetS risk. Future research should explore a broader range of risk factors over longer follow-up periods to better understand the long-term impact of lifestyle modifications on MetS development.

The prognostic value of left atrial (LA) strain in patients with heart failure with reduced ejection fraction (HFrEF) has not been fully elucidated. Therefore, this study investigated the prognostic value of LA strain in HFrEF patients in relation to all-cause mortality.

A total of 822 echocardiograms from HFrEF patients admitted to a heart failure clinic were analysed offline. To calculate left atrial reservoir strain (LA RS) and left atrial contractile strain (LA CS), LA two-dimensional speckle tracking was performed in the 4-chamber, 2-chamber and 3-chamber view. The end-point was all-cause mortality. The association between LA strain parameters and outcome was examined using Cox regression.

The median follow-up time was 40 months and follow-up was 100% complete. During follow-up, a total of 137 patients (16.7%) died of all causes. In a final multivariable model adjusted for clinical and echocardiographic parameters including global longitudinal strain, LA RS and LA CS were significantly associated with all-cause death during follow-up (LA RS, HR 0.96, 95% CI 0.92 to 0.99, p=0.014, pr. 1% increase) (LA CS, HR 0.95, 95% CI 0.92 to 0.98, p=0.002, pr. 1% increase).

When added to the final multivariable model, both LA RS and LA CS contributed with incremental prognostic value as determined by C-statistic (LA RS: C-stat difference 0.007, 95% CI 0.000 to 0.020, p=0.050) (LA CS: C-stat difference 0.009, 95% CI 0.000 to 0.023, p=0.030).

In HFrEF patients, LA RS and LA CS were associated with all-cause mortality and contributed incremental prognostic value in addition to established prognostic measures.