This study conducted in Dena County is a population-based cohort study as part of the Prospective Epidemiological Research Studies in Iran (PERSIAN). The specific objectives of this study were to estimate the prevalence of region-specific modifiable risk factors and their associations with the incidence of major non-communicable diseases (NCDs).

This PERSIAN Dena Cohort Study (PDCS) was conducted on 1561 men and 2069 women aged 35–70 years from October 2016 in Dena County, Kohgiluyeh and Boyer-Ahmad Province, Southwest Iran. The overall participation rate was 82.7%.

Out of 3630 participants, the mean age was 50.16 years, 2069 (56.9%) were women and 2092 (57.6%) were rural residents. Females exhibited higher prevalence rates of diabetes, hypertension, fatty liver, psychiatric disorders, thyroiditis, kidney stones, gallstones, rheumatic disease, chronic lung disease, depression and osteoporosis compared with males (p126 mg/dL, low-density lipoprotein >100 mg/dL and haematuria, respectively; most of them were female and urban people (p

PDCS will be planned to re-evaluate NCD-related incidence, all-cause and cause-specific mortality every 5 years, along with annual follow-up for 15 years. Some examples of additional planned studies are evaluation of genetic, environmental risk, spirometry and ECG tests.

Personalised Exercise-Rehabilitation FOR people with Multiple long-term conditions (PERFORM) is a research programme that seeks to develop and evaluate a comprehensive exercise-based rehabilitation intervention designed for people with multimorbidity, the presence of multiple long-term conditions (MLTCs). This paper describes the protocol for a randomised trial to assess the feasibility and acceptability of the PERFORM intervention, study design and processes.

A multicentre, parallel two-group randomised trial with individual 2:1 allocation to the PERFORM exercise-based intervention plus usual care (intervention) or usual care alone (control). The primary outcome of this feasibility trial will be to assess whether prespecified progression criteria (recruitment, retention, intervention adherence) are met to progress to the full randomised trial. The trial will be conducted across three UK sites and 60 people with MLTCs, defined as two or more LTCs, with at least one having evidence of the beneficial effect of exercise. The PERFORM intervention comprises an 8-week (twice a week for 6 weeks and once a week for 2 weeks) supervised rehabilitation programme of personalised exercise training and self-management education delivered by trained healthcare professionals followed by two maintenance sessions. Trial participants will be recruited over a 4.5-month period, and outcomes assessed at baseline (prerandomisation) and 3 months postrandomisation and include health-related quality of life, psychological well-being, symptom burden, frailty, exercise capacity, physical activity, sleep, cognition and serious adverse events. A mixed-methods process evaluation will assess acceptability, feasibility and fidelity of intervention delivery and feasibility of trial processes. An economic evaluation will assess the feasibility of data collection and estimate the costs of the PERFORM intervention.

The trial has been given favourable opinion by the West Midlands, Edgbaston Research Ethics Service (Ref: 23/WM/0057). Participants will be asked to give full, written consent to take part by trained researchers. Findings will be disseminated via journals, presentations and targeted communications to clinicians, commissioners, service users and patients and the public.

ISRCTN68786622.

2.0 (16 May 2023).

Despite to high burden of road traffic injuries (RTIs), the RTI epidemiology has received less attention with rare investments on robust population cohorts. The PERSIAN Traffic Safety and Health Cohort (PTSHC) was designed to assess the potential causal relationships between human factors and RTI mortality, injuries, severity of the injury, hospitalised injury, violation of traffic law as well as offer the strongest scientific evidence.

The precrash cohort study is carried out in four cities of Tabriz, Jolfa, Shabestar and Osku in East Azerbaijan province located in northwest Iran. The participants were people who sampled among the general population. The cluster sampling method was used to enrol the households in this study. The PTSHC encompasses a wide and comprehensive range and types of data. These include not only the common cohort data collections such as medical examination measures, previous medical history, bio assays and behavioural assessments but also includes data obtained using advanced novel technologies, for example, electronic travel monitoring, driving simulation and neuro-psycho-physiologic laboratory assessments specifically developed for traffic health field.

A total of 7200 participants aged 14 years and above were enrolled at baseline, nearly half of them being men. The mean age of participants was 39.2 (SD=19.9) years. The majority of participants (55.4%) belonged to the age group of 30–56 years. Currently, approximately 1 200 000 person-measurements have been collected.

PSTHC will be used to determine the human-related risk factors by adjusting for the vehicle and land-use-related factors. Therefore, a lot of crashes can be prevented using effective interventions. Although this cohort provides valuable data, it is planned to increase its size to achieve the highest level of evidence with higher generalisability. Also, according to the national agreement this cohort is going to be extended to several geographical regions in second decade.

Conventional prediction models fail to integrate the constantly evolving nature of critical illness. Alternative modelling approaches to study dynamic changes in critical illness progression are needed. We compare static risk prediction models to dynamic probabilistic models in early critical illness.

We developed models to simulate disease trajectories of critically ill COVID-19 patients across different disease states. Eighty per cent of cases were randomly assigned to a training and 20% of the cases were used as a validation cohort. Conventional risk prediction models were developed to analyse different disease states for critically ill patients for the first 7 days of intensive care unit (ICU) stay. Daily disease state transitions were modelled using a series of multivariable, multinomial logistic regression models. A probabilistic dynamic systems modelling approach was used to predict disease trajectory over the first 7 days of an ICU admission. Forecast accuracy was assessed and simulated patient clinical trajectories were developed through our algorithm.

We retrospectively studied patients admitted to a Cleveland Clinic Healthcare System in Ohio, for the treatment of COVID-19 from March 2020 to December 2022.

5241 patients were included in the analysis. For ICU days 2–7, the static (conventional) modelling approach, the accuracy of the models steadily decreased as a function of time, with area under the curve (AUC) for each health state below 0.8. But the dynamic forecasting approach improved its ability to predict as a function of time. AUC for the dynamic forecasting approach were all above 0.90 for ICU days 4–7 for all states.

We demonstrated that modelling critical care outcomes as a dynamic system improved the forecasting accuracy of the disease state. Our model accurately identified different disease conditions and trajectories, with a

Sepsis affects 25.2 million children per year globally and causes 3.4 million deaths, with an annual cost of hospitalisation in the USA of US$7.3 billion. Despite being common, severe and expensive, therapies and outcomes from sepsis have not substantially changed in decades. Variable case definitions, lack of a reference standard for diagnosis and broad spectrum of disease hamper efforts to evaluate therapies that may improve sepsis outcomes. This landscape analysis of community-acquired childhood sepsis in Australia and New Zealand will characterise the burden of disease, including incidence, severity, outcomes and cost. Sepsis diagnostic criteria and risk stratification tools will be prospectively evaluated. Sepsis therapies, quality of care, parental awareness and understanding of sepsis and parent-reported outcome measures will be described. Understanding these aspects of sepsis care is fundamental for the design and conduct of interventional trials to improve childhood sepsis outcomes.

This prospective observational study will include children up to 18 years of age presenting to 12 emergency departments with suspected sepsis within the Paediatric Research in Emergency Departments International Collaborative network in Australia and New Zealand. Presenting characteristics, management and outcomes will be collected. These will include vital signs, serum biomarkers, clinician assessment of severity of disease, intravenous fluid administration for the first 24 hours of hospitalisation, organ support therapies delivered, antimicrobial use, microbiological diagnoses, hospital and intensive care unit length-of-stay, mortality censored at hospital discharge or 30 days from enrolment (whichever comes first) and parent-reported outcomes 90 days from enrolment. We will use these data to determine sepsis epidemiology based on existing and novel diagnostic criteria. We will also validate existing and novel sepsis risk stratification criteria, characterise antimicrobial stewardship, guideline adherence, cost and report parental awareness and understanding of sepsis and parent-reported outcome measures.

Ethics approval was received from the Royal Children’s Hospital of Melbourne, Australia Human Research Ethics Committee (HREC/69948/RCHM-2021). This included incorporated informed consent for follow-up. The findings will be disseminated in a peer-reviewed journal and at academic conferences.

ACTRN12621000920897; Pre-results.

Acute heart failure (HF) is a major cause of unplanned hospitalisation characterised by excess body water. A restriction in oral fluid intake is commonly imposed on patients as an adjunct to pharmacological therapy with loop diuretics, but there is a lack of evidence from traditional randomised controlled trials (RCTs) to support the safety and effectiveness of this intervention in the acute setting.

This study aims to explore the feasibility of using computer alerts within the electronic health record (EHR) system to invite clinical care teams to enrol patients into a pragmatic RCT at the time of clinical decision-making. It will additionally assess the effectiveness of using an alert to help address the clinical research question of whether oral fluid restriction is a safe and effective adjunct to pharmacological therapy for patients admitted with fluid overload.

THIRST (Randomised Controlled Trial within the electronic Health record of an Interruptive alert displaying a fluid Restriction Suggestion in patients with the treatable Trait of congestion) Alert is a single-centre, parallel-group, open-label pragmatic RCT embedded in the EHR system that will be conducted as a feasibility study at an National Health Service (NHS) hospital in London. The clinical care team will be invited to enrol suitable patients in the study using a point-of-care alert with a target sample size of 50 patients. Enrolled patients will then be randomised to either restricted or unrestricted oral fluid intake. Two primary outcomes will be explored (1) the proportion of eligible patients enrolled in the study and (2) the mean difference in oral fluid intake between randomised groups. A series of secondary outcomes are specified to evaluate the effectiveness of the alert, adherence to the randomised treatment allocation and the quality of data generated from routine care, relevant to the outcomes of interest.

This study was approved by Riverside Research Ethics Committee (Ref: 22/LO/0889) and will be published on completion.

NCT05869656.

Hypertensive disorders of pregnancy (HDP) are a leading cause of maternal deaths globally and require close monitoring of blood pressure (BP) to mitigate potential adverse effects. Despite the recognised need for research on self-monitoring of blood pressure (SMBP) among pregnant populations, there are very few studies focused on low and middle income contexts, which carry the greatest burden of HDPs. The study aims to understand the perceptions, barriers, and operational considerations for using a smartphone software application to perform SMBP by pregnant women in Lombok, Indonesia.

This study includes a combination of focus group discussions, in-depth interviews and workshop observations. Pregnant women will also be provided with a research version of the smartphone BP application to use in their home and subsequently provide feedback on their experiences. The study will include pregnant women with current or past HDP, their partners and the healthcare workers involved in the provision of antenatal care services within the catchment area of six primary healthcare centres. Data obtained from the interviews and observations will undergo thematic analyses using a combination of both inductive and deductive approaches.

The study was approved by the World Health Organization (WHO) and Human Reproduction Programme (HRP) Research Project Review Panel and WHO Ethical Review Committee (A65932) as well as the Health Research Ethics Committee, Faculty of Medicine, Universitas Mataram in Indonesia (004/UN18/F7/ETIK/2023).

Findings will be disseminated through research publications and communicated to the Lombok district health offices. The analyses from this study will also inform the design of a subsequent impact evaluation.