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Neurogranin (Ng) has a role in synaptic plasticity and is considered a biomarker of synaptic dysfunction, a process hypothesised to be important in delirium. Few studies examining Ng in delirium exist, with mixed findings. This study aimed to investigate associations between cerebrospinal fluid (CSF) Ng concentrations and delirium in acutely admitted hip fracture patients.
Cross-sectional study.
Acutely admitted orthopaedic patients with hip fracture recruited from four participating hospitals in eastern Norway, representing secondary and tertiary care settings.
This study included 392 hip fracture patients. All admitted hip fracture patients operated in spinal anaesthesia were, regardless of age, considered for inclusion.
An in-house ELISA was used to measure CSF Ng concentration in patients acutely admitted with a hip fracture (n=392). Delirium status was evaluated daily according to The Diagnostic and Statistical Manual of Mental Disorders, Fifth Editions criteria independently by two experienced geriatricians. A value
180 patients (46 %) developed delirium and 70% of these had dementia. CSF Ng concentration did not differ significantly between those with and without delirium (176 pg/mL vs 164 pg/mL), with an estimated difference in medians of 12 (95% CI –5.8 to 29.8), p=0.185. Analyses adjusted for age, gender and dementia status did not show a statistically significant difference in Ng concentrations between the patients.
We did not find an association between delirium and CSF concentrations of Ng. This could imply that synaptic dysfunction and degeneration, involving Ng, are not key processes in the development of delirium. Further studies on other synaptic proteins are warranted to better explore synaptic dysfunction’s potential role in the pathophysiology of delirium.
Several antibiotic stewardship interventions have been proven effective and safe for reducing the high number of antibiotic prescriptions in late preterm and term neonates at risk of early-onset sepsis (EOS). For successful translation of EOS interventions to clinical practice, implementation strategies should be employed targeting stakeholders. The primary aim of this study is to assess the impact of implementing an antibiotic stewardship bundle, including the EOS calculator, procalcitonin-guided therapy and intravenous-to-oral switch therapy on antibiotic exposure for EOS in Dutch secondary hospitals. Secondary aims are to examine additional clinical outcomes and implementation outcomes.
We will conduct a multicentre, prospective implementation study with interrupted time series and before-after analyses at the paediatric or specialised neonatal departments of 11 Dutch secondary hospitals and their surrounding neonatal care networks. A multimodal implementation strategy, designed using Implementation Mapping, is employed to facilitate implementation. The study population is twofold: (1) neonates born at 34 weeks of gestation or later with suspected EOS that will receive intervention-related care and (2) paediatricians, paediatric residents, neonatal nurses, maternity nurses and parents who are the focus of the implementation strategies. The primary outcome is days of antibiotic therapy per 1000 live-born neonates, which will be evaluated using interrupted time series analysis as well as before-after comparison. Secondary clinical outcomes will be assessed by comparing clinical data from the 12 months pre-implementation and post implementation. Implementation outcomes are adoption, fidelity, feasibility and acceptability of the interventions and fidelity and appropriateness of the implementation strategies. Implementation outcomes will be assessed using both qualitative and quantitative methods, including surveys, individual interviews and focus group interviews. A mixed-methods approach will be used to integrate clinical and implementation outcomes.
The Medical Ethics Committee United (MEC-U) declared (reference: W24.132) that this study does not fall under the Dutch Medical Research Involving Human Subjects Act (WMO). Subsequently, ethical approval was granted by the Scientific Committee of the Franciscus Hospital (T110). The scientific committees of all participating sites adopted this decision and granted permission for local conduct of the study. As electronic health record data are sampled retrospectively and anonymously, a waiver of consent was given to collect these data. Informed consent will be obtained from participants completing surveys or taking part in interviews and focus group discussions. The findings will be disseminated through journal publications and conference presentations. Furthermore, practice and policy recommendations will be collaboratively developed with partner organisations.
Community participatory modelling merges participatory research approaches with mathematical modelling. Participatory approaches are grounded in the engagement of people with lived experience (eg, who are affected by the health condition under study) throughout the research process. Mathematical modelling of infectious disease (ID) dynamic transmissions is increasingly used as a tool for public health decision-making, generating predictions, inferring mechanisms and estimating the impact of potential interventions—all of which guide policies, strategies and resource allocation as part of the preparation and response to ID epidemics. However, little is known about the engagement of people with lived experience and affected communities in the ID modelling process. We will map the literature to explore participatory approaches undertaken in ID modelling (practical aspects of formalising participatory modelling), levels of participation and the potential influence from the perspective of communities engaged.
The scoping review will follow the Joanna Briggs Institute Manual for Evidence Synthesis. The search strategy includes three electronic bibliographic databases (MEDLINE, Scopus and Embase), no language restrictions and sources published from 2000 to present. We will implement the search with and without the participatory keyword, as we recognise that some studies do not explicitly term community engagement as participatory modelling. After deduplication, two authors will independently screen the titles, abstracts and full texts, with discrepancies resolved with a third team member. We will extract the relevant information from the main text, parameter tables, supplemental files, bibliography, acknowledgment and author affiliation sections. The data extraction will follow a deductive content analysis where we draw from community-based participatory research approaches and established mathematical modelling steps. We will also extract data to assess whether there was equitable engagement of knowledge users by checking for indicators of three equitable engagement domains as outlined by the Ward framework (equity within partnership (eg, whether knowledge user influenced modelling decisions or remuneration), capacity to engage in future partnerships and shift in power/influence (eg, coauthorship). We will supplement our narrative analyses with summaries in tabular format and using appropriate data visualisations.
No ethics approval will be required for this scoping review because we will map evidence from publicly available literature sources. We will develop multilingual abstracts or one-page lay summaries of the findings (English, French and Swahili), a policy brief and will coauthor an open-access journal article. A summary of the findings will be shared via knowledge user-led presentations at the Maisha HIV and AIDS Conference and with other community-based organisations at the quarterly peer-to-peer support meetings.
The protocol has been registered in Open Science Framework, DOI: https://doi.org/10.17605/OSF.IO/XQ2WP (December 2024).
To develop and validate a risk prediction model for preterm premature rupture of membranes (PPROM) to enable early identification of at-risk women and support clinical decision-making in North Wollo Zone, Ethiopia.
A hospital-based retrospective cross-sectional study.
Six public hospitals in the North Wollo Zone, Northern Ethiopia.
A total of 1098 pregnant women were included in the study using systematic random sampling.
Occurrence of PPROM.
Data were collected between 20 November 2023 and 20 March 2024, using structured interviews and medical record reviews. A risk prediction model was developed using Least Absolute Shrinkage and Selection Operator and logistic regression. Model performance was assessed through area under the curve (AUC), calibration plots and the Hosmer-Lemeshow test. Internal validation was conducted via bootstrap resampling. A simplified risk score was created to categorise women into high-risk and low-risk groups, and its clinical utility was evaluated using decision curve analysis.
Among the 1098 participants (100% response rate), the mean age was 21.54 years (IQR: 18–26), with 57.2% aged 20–34 years. The prevalence of PPROM was 10.75% (95% CI 9.01% to 12.77%). Seven significant predictors were identified: maternal age
PPROM remains a significant obstetric complication in the study area. The validated risk prediction model showed moderate to good performance and can be used to support early screening and risk-based management in antenatal care (ANC). Integrating the tool into routine ANC services, along with health education and management of modifiable risk factors, may help reduce PPROM-related adverse outcomes. Further external validation is recommended.
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.
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