To our knowledge, this study is the first to identify and describe current sepsis policies, clinical practice guidelines, and health professional training standards in Canada to inform evidence-based policy recommendations.

This study will be designed and reported according to the Arksey and O’Malley framework for scoping reviews and the Preferred Reporting Items for Systematic Review and Meta-Analyses Extension for Scoping Reviews. EMBASE, CINAHL, Medline, Turning Research Into Practice and Policy Commons will be searched for policies, clinical practice guidelines and health professional training standards published or updated in 2010 onwards, and related to the identification, management or reporting of sepsis in Canada. Additional sources of evidence will be identified by searching the websites of Canadian organisations responsible for regulating the training of healthcare professionals and reporting health outcomes. All potentially eligible sources of evidence will be reviewed for inclusion, followed by data extraction, independently and in duplicate. The included policies will be collated and summarised to inform future evidence-based sepsis policy recommendations.

The proposed study does not require ethics approval. The results of the study will be submitted for publication in a peer-reviewed journal and presented at local, national and international forums.

To determine whether periods of disruption were associated with increased ‘avoidable’ hospital admissions and wider social inequalities in England.

Observational repeated cross-sectional study.

England (January 2019 to March 2022).

With the approval of NHS England we used individual-level electronic health records from OpenSAFELY, which covered ~40% of general practices in England (mean monthly population size 23.5 million people).

We estimated crude and directly age-standardised rates for potentially preventable unplanned hospital admissions: ambulatory care sensitive conditions and urgent emergency sensitive conditions. We considered how trends in these outcomes varied by three measures of social and spatial inequality: neighbourhood socioeconomic deprivation, ethnicity and geographical region.

There were large declines in avoidable hospitalisations during the first national lockdown (March to May 2020). Trends increased post-lockdown but never reached 2019 levels. The exception to these trends was for vaccine-preventable ambulatory care sensitive admissions which remained low throughout 2020–2021. While trends were consistent by each measure of inequality, absolute levels of inequalities narrowed across levels of neighbourhood socioeconomic deprivation, Asian ethnicity (compared with white ethnicity) and geographical region (especially in northern regions).

We found no evidence that periods of healthcare disruption from the COVID-19 pandemic resulted in more avoidable hospitalisations. Falling avoidable hospital admissions has coincided with declining inequalities most strongly by level of deprivation, but also for Asian ethnic groups and northern regions of England.

The QCovid 2 and 3 algorithms are risk prediction tools developed during the second wave of the COVID-19 pandemic that can be used to predict the risk of COVID-19 hospitalisation and mortality, taking vaccination status into account. In this study, we assess their performance in Scotland.

We used the Early Pandemic Evaluation and Enhanced Surveillance of COVID-19 national data platform consisting of individual-level data for the population of Scotland (5.4 million residents). Primary care data were linked to reverse-transcription PCR virology testing, hospitalisation and mortality data. We assessed the discrimination and calibration of the QCovid 2 and 3 algorithms in predicting COVID-19 hospitalisations and deaths between 8 December 2020 and 15 June 2021.

Our validation dataset comprised 465 058 individuals, aged 19–100. We found the following performance metrics (95% CIs) for QCovid 2 and 3: Harrell’s C 0.84 (0.82 to 0.86) for hospitalisation, and 0.92 (0.90 to 0.94) for death, observed-expected ratio of 0.24 for hospitalisation and 0.26 for death (ie, both the number of hospitalisations and the number of deaths were overestimated), and a Brier score of 0.0009 (0.00084 to 0.00096) for hospitalisation and 0.00036 (0.00032 to 0.0004) for death.

We found good discrimination of the QCovid 2 and 3 algorithms in Scotland, although performance was worse in higher age groups. Both the number of hospitalisations and the number of deaths were overestimated.

Atherosclerotic cardiovascular disease (ASCVD) is a major cause of morbidity, mortality and health expenditures worldwide. Despite having higher ASCVD in the Pakistani population, data on subclinical coronary atherosclerosis in young Pakistanis remain scarce. The PAKistan Study of prEmature coronary atHerosclerosis in young AdulTs (PAK-SEHAT) aims to assess the prevalence, severity and determinants of subclinical coronary atherosclerosis among Pakistani men (35–60 years) and women (35–65 years) free of clinically symptomatic ASCVD and will assess 5-year rates of ASCVD events.

PAK-SEHAT is an ongoing prospective cohort study with 2000 participants from all provinces of Pakistan who will be interviewed at the baseline along with phlebotomy, measurement of carotid intima-media thickness (CIMT) and coronary CT angiography (CCTA). Phlebotomy will be repeated at 2.5 years, whereas CIMT and CCTA will be repeated at 5 years. We will report the frequency of maximal coronary stenosis ≥50% and ≥70%, number of coronary vessels with plaque and the number of coronary segments affected per participant on CCTA. We will use Cox proportional hazards regression models to evaluate the association between baseline characteristics and incident ASCVD events during follow-up. These associations will be presented as HRs with 95% CIs.

The study protocol was approved by the Tabba Heart Institute Institutional Review Board (THI/IRB/FQ/22-09-2021/016). All study procedures are consistent with the principles of the Declaration of Helsinki. Findings of the study will be disseminated via peer-reviewed publications and conference presentations.

NCT05156736.