Since 31 March 2022, there has been an increase in cases of children presenting with severe liver disease of unknown cause (termed ‘acute severe hepatitis of unknown etiology’ (ASHep-UE)) across multiple countries including the UK. Most of these have been children aged 1–6 years, leading to hospital ... READ MORE
IORD – Ongoing approved projects and project outputs
Analysis of trends in mortality rates following infection with SARS-CoV-2 in patients with underlying haemato-oncology diagnoses at Oxford University Hospitals
Underlying haematological malignancy has previously been shown to be a major risk factor for worse outcomes from infection with SARS-CoV-2. There is concern that this same patient group may mount reduced immune responses to the COVID-19 vaccinations, and thus derive less protection from them. In ... READ MORE
PREPARE 2 – The impact of the COVID-19 pandemic on infections in myeloma patients
Myeloma is a blood cancer that results in a weakened immune system and an increased risk of infection. Myeloma is currently incurable and the most common cause of death in patients living with myeloma, aside from the disease itself, is infection. We know that rates of respiratory infections ... READ MORE
The prognostic utility of the MeMed COVID-19 Severity™ assay in patients with COVID-19 at Oxford University Hospitals NHS Foundation Trust (OUH)
COVID-19 caused by SARS-CoV2, remains a significant cause of hospital attendance, admission and mortality. The clinical presentation of COVID-19 is variable, with most patients experiencing mild self-limiting symptoms, while others progress to respiratory failure. The use of biomarkers early in the ... READ MORE
Circadian influences on serologic responses to SARS-CoV-2 vaccination
The ‘circadian clock’ is an endogenous 24-hour clock recognised in all biology that, along with a seasonal clock (summer/winter), impacts on how environmental challenges are handled, including the outcome of infectious diseases and vaccinations. The COVID-19 pandemic, caused by SARS-CoV-2 ... READ MORE
Using Machine Learning to Predict Mortality for COVID-19 Patients on Day Zero in the ICU
Using a dataset of 270 critically ill patients with COVID-19 we have identified a set of variables that predict the mortality for patients on the day of admission to the ICU. The use of this practical prediction model should affect clinical decision-making and medical management of COVID-19 ... READ MORE
Assessing the utility of calprotectin as an independent predictor of clinical deterioration following COVID diagnoses
COVID-19, caused by SARS-CoV2, is a novel biphasic disease that may be associated with significant morbidity and mortality in the second phase of illness in select groups of infected individuals. There is significant interest in testing the utility of biomarkers in the first phase of illness for ... READ MORE
THE COVID CLOCK: Circadian influences on SARS-CoV-2 RNA in nose and throat swabs
The ‘circadian clock’ is an inbuilt 24-hour clock recognised in human biology that, along with a seasonal clock (summer/winter), impacts on how environmental challenges are handled, including influencing the outcome of infectious diseases and vaccinations (Borrmann 2020, Sengupta 2021).The COVID-19 ... READ MORE
Healthcare associated acquisition of Covid-19
Most patients diagnosed with Covid-19 acquire their infection in the community. However, it is not known how much Covid-19 in the first wave of the pandemic was acquired in hospital. National data may be informative, but locally available data in Oxford are more detailed, potentially allowing ... READ MORE
Covid-19 seroprevalence in inflammatory bowel disease patients on maintenance biological therapy: a comparison with healthcare workers
The inflammatory bowel diseases (IBD), Crohn’s disease (CD) and ulcerative colitis (UC) affect approximately 1% of the UK population; and 25-30% of these patients are now treated with biological therapies which target the immune system to maintain remission. It has been hypothesized that these ... READ MORE
Descriptive Study of confirmed and probable COVID patients
The COVID-19 pandemic started in December 2019 and quickly spread around the world. A key challenge in all healthcare settings is to identify patients with possible COVID-19 at presentation, to inform both clinical management and infection prevention and control interventions. Diagnosis relies in ... READ MORE
Aggregate analysis of Oxford University Hospitals staff Covid-19 testing data
Oxford University Hospitals (OUH) has conducted a large staff testing programme for Covid-19. Staff were tested using a combination of antibody and PCR tests looking for previous and current infection with the virus that causes Covid-19 (SARS-CoV-2). These results were stored in the electronic ... READ MORE
PreVent: predicting need to ventilation and ICU admission in patients admitted with COVID-19
Up to 30% of patients admitted to hospital with COVID (novel coronavirus infection) will require admission to an intensive care unit (ICU) and potentially help with breathing via a ventilator. We will develop statistical and artificial intelligence approaches to predict which patients are most ... READ MORE
The impact of SARS-CoV-2 on hospital admissions, antimicrobial prescribing and serious bacterial infections
The Covid-19 pandemic is having a profound impact on healthcare globally. Whilst the virus is directly devastating for many suffering from severe infection, there are also wider implications. These include potentially lower use of healthcare for other serious conditions with potential adverse ... READ MORE