Long term health outcomes in people with diabetes 12 months after hospitalisation with COVID-19 in the UK: a prospective cohort study.

Background: People with diabetes are at increased risk of hospitalisation, morbidity, and mortality following SARS-CoV-2 infection. Long-term outcomes for people with diabetes previously hospitalised with COVID-19 are, however, unknown. This study aimed to determine the longer-term physical and mental health effects of COVID-19 in people with and without diabetes.

A Pilot Study on the Impact of Smoking on Adipose Derived Stem Cell Function in Burn Patients.

Adipose-derived stem cells (ADSCs) have an important role in the modulation of burned tissue repair through the release of paracrine factors that stimulate the wound healing response. In this study, we tested the hypothesis that smoking status alters the profile of paracrine factors secreted from ADSCs isolated from damaged adipose tissue. Adipose tissue was collected from adult patients (N=8) with severe burn injuries (>20% total body surface area) at the index operation.

Treatment outcomes with oral anti-hyperglycaemic therapies in people with diabetes secondary to a pancreatic condition (type 3c diabetes): A population-based cohort study.

Aims: To assess outcomes of oral anti-hyperglycaemic therapies in people with diabetes secondary to a pancreatic condition (type 3c), where specific treatment guidance is limited.

Materials And Methods: Using hospital-linked UK primary care records (Clinical Practice Research Datalink; 2004-2020), we identified 7084 people with a pancreatic condition (acute pancreatitis, chronic pancreatitis, pancreatic cancer and haemochromatosis) preceding diabetes diagnosis (type 3c cohort), initiating oral glucose-lowering therapy (metformin, sulphonylureas, SGLT2-inhibitors, DPP4-inhibitors or thiazolidinediones), and without concurrent insulin treatment. We stratified by pancreatic exocrine insufficiency [PEI] (n = 5917 without PEI, 1167 with PEI) and matched to 97 227 type 2 diabetes (T2D) controls.

Using Family History Data to Improve the Power of Association Studies: Application to Cancer in UK Biobank.

In large cohort studies the number of unaffected individuals outnumbers the number of affected individuals, and the power can be low to detect associations for outcomes with low prevalence. We consider how including recorded family history in regression models increases the power to detect associations between genetic variants and disease risk. We show theoretically and using Monte-Carlo simulations that including a family history of the disease, with a weighting of 0.