Diabetes Diagnosis During Acute Admissions (FIND-IT)

Rövid összefoglaló (regiszter, angolul)

People with type 2 diabetes are two-and-a-half times more likely to experience heart failure and twice more likely to have a heart attack compared to people without diabetes. People coming to hospital often have unknown hyperglycaemia. It is thought that three quarters of people admitted to the Coronary care unit with a myocardial infarction have hyperglycaemia and over a third of whom are undiagnosed with diabetes and over 40% with impaired glucose tolerance (IGT). All of these patients are at greater risk of poor outcomes in the presence of uncontrolled hyperglycaemia. Patients presenting to A\&E have routine bloods taken for condition which are they are being investigated and treated for. Therefore the aim of the study is to identify the prevalence of undiagnosed diabetes (HbA1c \>48mmol/mol) or impaired glucose tolerance/pre-diabetes (HbA1c \>39mmol/mol) in patients attending the accident and emergency department or acute medical unit and to see if this is a good screening measure for diagnosis of diabetes. This project will help identify those undiagnosed with glucose intolerance (T2D and IGT) and instigate appropriate treatment and improve outcomes for this group of patients. This will in the long term reduce the burden to the NHS. This project will help in the development of guidance for diagnosis of T2D in an acute setting and treatment for hospital admission and continued care. This project will include 10,000 consecutive patients over the age of 30 years attending the A\&E or AMU departments of Tameside and Glossop Integrated Care NHS FT. All patients will be screened for glucose intolerance with a blood test in which patients' blood would be taken anyway for clinical reasons and the laboratory will perform an HbA1c investigation on the sample collected.

Mit vállalsz

• Vizsgálat típusa: Megfigyeléses
• Bevont résztvevők: 5050
• 2022. febr. 1. és az elsődleges befejezés (2025. ápr. 24.) között
• 1 helyszín, 1 országban
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