Sepsis and antibiotic resistance constitute a deadly synergy, causing the loss of millions of lives across the world, with their economic and developmental consequences posing a threat to global prosperity. Their impact is disproportionately felt in resource-limited settings and among vulnerable populations, especially children. A key challenge is prompt diagnosis and timely commencement of appropriate antibiotic therapies. These challenges are compounded in low-income and middle-income countries by a lack of comprehensive epidemiological data, with Nigeria being one such country for which it is lacking. Kaduna is the third largest state in Nigeria, with over 10 million inhabitants, of whom more than half are children under 14 years old. While bacterial sepsis and antimicrobial resistance (AMR) are recognised as a growing problem in the state, there are huge gaps in the current understanding of their aetiology. This project employs a cross-sectional design to investigate the clinical and haematological markers of paediatric sepsis, alongside determining the bacterial cause and prevalence of AMR at four high-turnover hospitals in Kaduna State, Nigeria. Further, whole-genome sequencing of isolated bacterial pathogens will be performed to determine the genetic features of resistance. This project represents the largest surveillance study of paediatric sepsis in Kaduna to date. Additionally, we aim to use the clinical, haematological, microbiological and genomic data to derive predictive models for sepsis causes, treatment strategies and patient outcomes.

This is a hospital-based, cross-sectional study that will recruit up to 461 children with bacterial sepsis who were admitted at the two teaching and two general hospitals in Kaduna State, Nigeria. Children presenting with features of fever, subnormal temperature and body weakness would be recruited into the study and have their blood samples collected. The blood samples will be used for culture, complete blood count, HIV and malaria testing. Accordingly, we will capture clinical presentation, haematological characteristics, causative pathogen from blood culture and patient outcomes. Nutritional status, known congenital immunosuppressive diseases, HIV infection and malaria infection will also be determined and documented. The bacterial isolates will be phenotypically characterised for AMR and genotypically following whole genome sequencing. Known and potential confounders to the outcomes of bacterial sepsis would be assessed in all participants, and adjustment for confounding would be performed using logistic regression and/or stratification±Mantel-Haenszel estimator where applicable.

Ethical approvals were granted by the University of Birmingham (ERN_2115-Jun2024), the Ahmadu Bello University Teaching Hospital (ABUTHZ/HREC/H45/2023), Barau Dikko Teaching Hospital, Kaduna (NHREC/30/11/21A) and the Kaduna State Ministry of Health (MOH/AD M/744/VOL.1/1110018). The study will be conducted using the international guidelines for good clinical practice and based on the principles of the Declaration of Helsinki. The results will be disseminated via oral and poster presentations in scientific conferences and published in peer-reviewed journal articles.

This study aimed to determine the association between diabetes mellitus (DM) medication use and glycaemic control.

This was a retrospective diabetes registry-based cohort study.

Singapore.

Patients aged 18 and above with incident DM in the SingHealth Diabetes Registry from 2013 to 2020 were included. The entire study period included a 1 year baseline period, a 1 year observation period and a 3 month outcome period.

Drug use was measured using the proportion of days covered (PDC), and the changes in glycated haemoglobin (HbA1c) between the outcome and baseline periods were assessed. The associations between baseline HbA1c and PDC ≥0.80 and between PDC and change in HbA1c were analysed using logistic regression and the Kruskal–Wallis test, respectively.

Of 184 646 unique patients in the registry from 2013 to 2020, 36 314 met the inclusion and exclusion criteria and were included in the analysis. The median PDC for any DM drug, oral DM drugs and insulin during the observation period was 20.3%, 16.8% and 0%, respectively. Those who had good glycaemic control at baseline were less likely to receive DM drugs and those with poor baseline glycaemic control or missing baseline HbA1c were more likely to be consistent users (PDC >80%) (px 10^-16).

The relationship between DM drug use and glycaemic control is complex and non-monotonic. Higher PDC for any DM drug and oral DM drugs during the observation period was significantly associated with clinically relevant HbA1c improvements.

Drug–drug interactions (DDIs) are a significant concern for patients on complex therapeutic regimens, especially involving cardiovascular medications, which are frequently implicated in these interactions.

This study used a standardised interaction database to determine the frequency, severity and risk factors associated with potential DDIs (pDDIs) among cardiovascular disease (CVD) in-patients.

The prospective cross-sectional study was conducted at a tertiary care hospital in Nepal from April 2024 to October 2024. A total of 106 eligible CVD in-patients were evaluated for pDDIs using the Lexicomp DDI checker database, and the interactions were categorised based on severity and risk rating. Binary logistic regression identified factors associated with pDDIs.

The study identified 621 pDDIs using the Lexicomp database, with median values of 8 pDDIs per patient. Patients with at least one pDDI comprised 64.2% of the sample. Most pDDIs were of moderate severity (77.3%) with risk ratings of C (65.7%). The most common cardiovascular medications involved in the detected DDI pairs were diuretics (31.2%), antiplatelets and anticoagulants (23.8%) and calcium channel blockers (12.2%). Multivariate binary logistic regression revealed that patients who stayed longer (adjusted OR (AOR) 9.08, 95% CI 1.027 to 80.216, p=0.047), those receiving more medications (AOR 18.85, 95% CI 2.975 to 119.370, p=0.002) and those who were admitted to the intensive cardiac care unit (AOR 16.31, 95% CI 2.728 to 97.461, p=0.002) were significantly more likely to experience pDDIs.

This study found a higher prevalence of pDDIs. It is advisable to incorporate medication reviews into routine cardiac care and use a drug interaction checker to identify pDDIs.

The goal of the study was to determine the magnitude and contributing factors of low back pain among primary school teachers in Borama Town, Somaliland.

An institution-based descriptive cross-sectional study design was employed. Simple random sampling was used to select the study units from each school.

The study was conducted in Borama, Somaliland.

A total of 268 primary school teachers participated in the study.

The primary outcome of the study was the prevalence of low back pain.

The study found that 51.5% of school teachers had low back pain. There was a strong link between low back pain and having a higher Body Mass Index (adjusted OR (AOR)=2.63) and stress at work (AOR=3.34). Sleep disturbance (AOR=1.73), lifting heavy materials (AOR=1.67) and a history of low back injury (AOR=2.12) were also significant predictors of low back pain.

More than half of primary school teachers had low back pain over the past 12 months. Higher Body Mass Index, history of low back injury, stress at work, lifting heavy material and sleep disturbance were significant and independent predictors of low back pain among primary school teachers.

The objective of this review is to examine the current available evidence regarding the assessment of speech sound disorders (SSD) in multilingual preschoolers. This review will be conducted through the lens of the International Classification of Functioning and Disability—Child and Youth (ICF) framework, WHO. The ICF has been adopted by speech–language associations globally, offering an appropriate structure to inform this review. Most children across the world speak more than one language daily. However, measures designed to assess SSDs primarily focus on monolingual populations, placing multilingual children at risk for the misdiagnosis of SSD. A deeper understanding of available assessment measures, as well as what aspects of the ICF they address, will support clinicians in assessing SSD in multilingual children and aid researchers in identifying areas for future research. This review will explore studies that involve multilingual preschoolers (up to age 5 years 11 months) with SSD. It will examine measures used to evaluate the current status and/or progress over time in multilingual children with and without SSDs.

This scoping review protocol implements the updated Joanna Briggs Institute (JBI) Scoping Review Methodology. The search will be conducted using Ovid MEDLINE, CINAHL Plus, EMBASE and Web of Science. Grey literature will also be searched using Google Scholar and ProQuest Dissertations and Theses Global. Search, screening, data extraction and data analysis will be conducted by a team of three reviewers. Data will be analysed and mapped through the ICF framework.

Ethical approval is not required for this scoping review. Available evidence will be mapped according to the language pairings and the ICF. This review aims to support clinical and research speech–language pathologists in identifying current evidence and gaps in the knowledge base. Planned dissemination activities include a peer-reviewed publication and conference presentations.

The nursing profession has undergone significant evolution over the past century, shifting from a role traditionally viewed as an auxiliary to physicians to one of autonomous healthcare professionals equipped with specialised skills and expertise. This shift is driven by the increasing recognition of the importance of evidence-based practice in enhancing patient outcomes and advancing the field of nursing. Consequently, nursing research has emerged as a critical priority in the profession. This study seeks to explore the nursing research landscape in Malaysia, where data remain limited, by examining trends before, during and after the COVID-19 pandemic.

This scoping review will be conducted following the Arksey and O'Malley framework, using four electronic databases: PubMed, Scopus and CINAHL for journal articles published between 2015 and 2024, and Web of Science for conference proceedings from the same period.

The findings from this scoping review will provide an overview of the nursing research landscape in the Malaysian context, offering insights that could guide the future advancement of nursing research in the country. The results will be disseminated through submission to a peer-reviewed scientific journal for publication. Ethical approval is not required for this scoping review, as it involves the synthesis of data from available published literature.

Dyslipidaemia, affecting approximately 39% of adults worldwide, is a major risk factor for cardiovascular disease. Individuals with dyslipidaemia are often prescribed statins, which effectively lower plasma low-density lipoprotein cholesterol (LDL-C), thereby reducing the risk of cardiovascular events and mortality. Although statins lower LDL-C, emerging evidence suggests that they may counteract the beneficial adaptations to exercise in skeletal muscle mitochondria and whole-body aerobic capacity. The underlying mechanisms remain unclear, and there is a need for studies investigating how statins influence molecular adaptations to exercise. The primary objective of this study is to investigate the combined effects of statin therapy and focused exercise training on mitochondrial function and whole-body aerobic capacity in people with dyslipidaemia. The untargeted proteomic analysis will be incorporated to provide detailed insights into how statins may affect mitochondrial proteins and other muscle metabolic traits, offering molecular explanations for altered functional readouts at both the muscle and whole-body levels.

A total of 100 women and men (aged 40–65 years) diagnosed with dyslipidaemia without atherosclerotic cardiovascular disease will be enrolled in this 12-week, double-blinded, randomised, placebo-controlled trial. Participants will be randomised into one of four groups using a block randomisation approach to ensure an allocation ratio of 60:40 for exercise and non-exercise conditions, respectively. The four groups will be: (1) exercise+placebo, (2) exercise+atorvastatin (80 mg/day), (3) atorvastatin (80 mg/day) and (4) placebo. The primary outcome is mitochondrial function, measured by changes in skeletal muscle citrate synthase activity from baseline to post-intervention. Secondary outcomes include whole-body aerobic capacity (VO_2peak) and proteomic analyses. Genetic analysis will be conducted to assess the role of genetic polymorphisms in individual responses to statins and exercise.

The trial has received ethical approval from the Faroe Islands Ethical Committee (2024-10) and adheres to the Declaration of Helsinki and General Data Protection Regulation (GDPR). Results will be published in peer-reviewed international journals.

NCT06841536.

Valid and reliable measurement of early childhood development (ECD) is critical for monitoring and evaluating ECD-related policies and programmes. Although ECD tools developed in high-income countries may be applicable to low- and middle-income countries (LMICs), directly applying them in LMICs can be problematic without psychometric evidence for new cultures and contexts. Our objective was to systematically appraise available evidence on the psychometric properties of tools used to measure ECD in LMIC.

A systematic review following the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines.

MEDLINE, Embase, PubMed, PsycInfo, SciELO and BVS were searched from inception to February 2025.

We included studies that examined the reliability, validity, and measurement invariance of tools assessing ECD in children 0–6 years of age living in LMICs.

Each study was independently screened by two researchers and data extracted by one randomly assigned researcher. Risk of bias was assessed using a checklist developed by the study team assessing bias due to training/administration, selective reporting and missing data. Results were synthesised narratively by country, location, age group at assessment and developmental domain.

A total of 160 articles covering 117 tools met inclusion criteria. Most reported psychometric properties were internal consistency reliability (n=117, 64%), concurrent validity (n=81, 45%), convergent validity (n=74, 41%), test–retest reliability (n=73, 40%) and structural validity (n=72, 40%). Measurement invariance was least commonly reported (n=16, 9%). Most articles came from Brazil, China, India and South Africa. Most psychometric evidence was from urban (n=92, 51%) or urban–rural (n=41, 23%) contexts. Study samples focused on children aged 6–17.9 or 48–59.9 months. The most assessed developmental domains were language (n=111, 61%), motor (n=104, 57%) and cognitive (n=82, 45%). Bias due to missing data was most common.

Psychometric evidence is fragmented, limited and heterogeneous. More rigorous psychometric analyses, especially on measurement invariance, are needed to establish the quality and accuracy of ECD tools for use in LMICs.

CRD42022372305.