To develop and compare algorithms for identifying gestational diabetes mellitus (GDM) across European electronic healthcare databases and evaluate their impact on the estimated prevalence.

Multi-national cohort study using routinely collected electronic healthcare data

National and regional databases in five European countries (Norway, Finland, Italy, Spain and France), in primary and/or secondary care.

Pregnancy cohorts resulting in stillbirths or live births between 2009 and 2020, comprising 602 897 pregnancies in Norway, 507 904 in Finland, 374 009 in Italy, 193 495 in Spain and 116 762 in France.

The primary outcome was the prevalence of GDM identified using six algorithms: (1) Only diagnosis; (2) Diagnosis or prescription; (3) Two diagnoses or prescriptions (2DxRx); (4) Diagnosis including unspecified diabetes in pregnancy or prescription (DxRx broad); (5) Diagnosis excluding pre-existing diabetes in pregnancy or prescription; (6) Registration of GDM in a birth registry (BR).

The strictest algorithm (2DxRx) resulted in the lowest GDM prevalence, while the broadest (DxRx broad) resulted in the highest, except in France where it was BR. In the Nordic countries, GDM prevalence varied only slightly by algorithm; greater variations were observed in other countries. The prevalence ranged from 3.5% (95% CI: 3.5% to 3.5%) to 4.6% (95% CI: 4.5% to 4.7%) in Norway; 12.1% (95% CI: 12.0% to 12.2%) to 15.8% (95% CI: 15.7% to 15.9%) in Finland, where prevalence was much higher than elsewhere. The prevalence ranged from 1.3% (95% CI: 1.3% to 1.3%) to 5.4% (95% CI: 5.3% to 5.5%) in Italy; 1.6% (95% CI: 1.5% to 1.7%) to 6.2% (95% CI: 6.1% to 6.3%) in Spain; and 1.7% (95% CI: 1.6% to 1.8%) to 5.8% (95% CI: 5.7% to 5.9%) in France.

In this multinational study, GDM prevalence ranged from 1.3% to 15.8% depending on the algorithm and database. Nordic countries showed smaller differences in prevalence between algorithms, while the other countries showed larger variations, likely due to differences in coding practices, healthcare systems and database coverage.

Alzheimer’s disease (AD) impacts over 55 million individuals worldwide and remains the leading cause of dementia (60–70% of cases). By 2050, South and Southeast Asia are projected to have an older adult population more than double, bearing a major share of Alzheimer’s disease burden. This will exert a heavy strain on healthcare systems, particularly in resource-limited countries where support and infrastructure are already stretched. Despite this, no review has yet explored the regional epidemiology and associated risk factors in this context. Thus, this study protocol outlines to synthesise prevailing evidence from these densely populated regions, particularly low- and middle-income nations within South and Southeast Asia.

This review will include studies that reported epidemiological characteristics including prevalence, age of onset, mortality, and risk factors of AD and related dementias comprising in South and Southeast Asian regions. Studies published in any language from inception to date will be extracted from PubMed, Scopus, CINAHL, EMBASE and APA PsycNet, following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) guidelines. We will also search grey literature sources and screen the reference lists of the articles selected for full-text review to identify additional relevant studies. Observational studies including case–control, cohort, and cross-sectional designs reporting desired outcomes will be included and appraised for quality assessment with the modified Newcastle-Ottawa Scale (mNOS). The included articles will be appraised by two independent reviewers, with a third resolving any conflicts. Pooled estimates of prevalence, age of onset and mortality will be analysed using random effect meta-analysis (REML) model. Associated risk factors, including modifiable and non-modifiable will be narratively synthesised. Forest plots will be used to visualise the findings, and heterogeneity across the included studies will be assessed using the I² and Cochrane’s Q statistics. Potential publication bias will be assessed using a funnel plot along with the Begg’s and Egger’s tests. Sensitivity and subgroup analyses will also be conducted to assess the robustness of pooled estimates and to explore potential sources of heterogeneity. Statistical analysis will be conducted using Rstudio (v.4.3.2) and GraphPad Prism V.9.0.2.

The systematic review is focused on the analysis of secondary data from published literature; thus, no ethical approval will be needed. The protocol will follow international standard guidelines, findings will be reported in a reputed journal and disseminated through (inter)national conferences, webinars and key stakeholders to inform policy, research and AD management strategies.

CRD 420251047105.

Atopic dermatitis (AD) is a chronic inflammatory skin condition that impairs the quality of life of affected paediatric patients and their families. Dupilumab, an antagonist of the shared alpha chain subunit of the cytokines interleukin-4 and interleukin-13, has revolutionised the management of moderate-to-severe AD by effectively targeting type 2 inflammation. However, live attenuated vaccines, including live attenuated influenza vaccines (LAIVs), are contraindicated during dupilumab therapy owing to limited safety data. This restriction poses challenges to immunisation strategies, particularly in paediatric populations. This study aims to evaluate the safety and efficacy of LAIV in paediatric patients with AD undergoing dupilumab therapy.

This multicentre, prospective, single-arm, open-label trial will enrol 50 paediatric patients aged 2–18 years with AD undergoing dupilumab treatment. The participants will receive intranasal LAIV, followed by a 25-week observation period after vaccination. The primary outcome is the proportion of participants with a four-fold or greater increase in haemagglutination inhibition titres against influenza strains A(H1N1), A(H3N2) and B at 4 weeks post vaccination. The secondary outcomes include the incidence of influenza and systemic or local adverse events, such as injection site reactions, fever and other influenza-like symptoms observed within 4 weeks of vaccination. Exploratory endpoints include the evaluation of immunosuppressive markers such as neutrophil counts, lymphocyte subsets and serum immunoglobulin G levels. Safety analyses will assess the frequency of each adverse event, whereas efficacy analyses will focus on immunogenicity and influenza incidence during the 25-week follow-up period. This study aims to provide critical safety and immunogenicity data to guide immunisation strategies in biologically treated paediatric patients with AD.

This study complies with the principles of the Declaration of Helsinki and received ethics approval from the Institutional Review Board of Chiba University Hospital as a specified clinical trial. Informed consent and assent will be obtained as appropriate based on the participants’ ages. These findings will be disseminated through peer-reviewed journals and scientific conferences to inform clinical vaccination strategies for biologically treated populations.

jRCTs031240442.