TY - JOUR
T1 - Cohort profile
T2 - the Scottish Diabetes Research Network national diabetes cohort – a population-based cohort of people with diabetes in Scotland
AU - McGurnaghan, Stuart
AU - Blackbourn, Luke
AU - Caparrotta, Tom
AU - Mellor, Joe
AU - Barnett, Anna
AU - Collier, Andrew
AU - Sattar, Naveed A.
AU - McKnight, J.
AU - Petrie, John R
AU - Philip, Sam
AU - Lindsay, Robert
AU - Hughes, Katherine
AU - McAllister, David A
AU - Leese, Graham P.
AU - Pearson, Ewan R.
AU - Wild, Sarah H
AU - McKeigue, Paul M
AU - Colhoun, Helen M
N1 - Funding Information:
We acknowledge with gratitude the contributions of people with diabetes, NHS staff and organisations (the Scottish Care Information-Diabetes development team and Steering Group, the Scottish Diabetes Group, the Scottish Diabetes Survey Group, the diabetes managed clinical networks) involved in providing data, setting up, maintaining and overseeing collation of data for people with diabetes in Scotland. Data linkage is performed by colleagues at Public Health Scotland. We acknowledge the financial support of NHS Research Scotland (NRS), through Diabetes Network. The NHS Research Scotland Diabetes Network (formerly Scottish Diabetes Research Network) receives funding from the Chief Scientist Office of the Scottish Government.
Funding Information:
Work described here has been supported by Chief Scientist Office Scotland (Ref. ETM/47) and by Diabetes UK (Ref. 17/0005627).
Publisher Copyright:
© Author(s) (or their employer(s)) 2022.
PY - 2022/10/12
Y1 - 2022/10/12
N2 - PURPOSE: The Scottish Diabetes Research Network (SDRN)-diabetes research platform was established to combine disparate electronic health record data into research-ready linked datasets for diabetes research in Scotland. The resultant cohort, 'The SDRN-National Diabetes Dataset (SDRN-NDS)', has many uses, for example, understanding healthcare burden and socioeconomic trends in disease incidence and prevalence, observational pharmacoepidemiology studies and building prediction tools to support clinical decision making.PARTICIPANTS: We estimate that >99% of those diagnosed with diabetes nationwide are captured into the research platform. Between 2006 and mid-2020, the cohort comprised 472 648 people alive with diabetes at any point in whom there were 4 million person-years of follow-up. Of the cohort, 88.1% had type 2 diabetes, 8.8% type 1 diabetes and 3.1% had other types (eg, secondary diabetes). Data are captured from all key clinical encounters for diabetes-related care, including diabetes clinic, primary care and podiatry and comprise clinical history and measurements with linkage to blood results, microbiology, prescribed and dispensed drug and devices, retinopathy screening, outpatient, day case and inpatient episodes, birth outcomes, cancer registry, renal registry and causes of death.FINDINGS TO DATE: There have been >50 publications using the SDRN-NDS. Examples of recent key findings include analysis of the incidence and relative risks for COVID-19 infection, drug safety of insulin glargine and SGLT2 inhibitors, life expectancy estimates, evaluation of the impact of flash monitors on glycaemic control and diabetic ketoacidosis and time trend analysis showing that diabetic ketoacidosis (DKA) remains a major cause of death under age 50 years. The findings have been used to guide national diabetes strategy and influence national and international guidelines.FUTURE PLANS: The comprehensive SDRN-NDS will continue to be used in future studies of diabetes epidemiology in the Scottish population. It will continue to be updated at least annually, with new data sources linked as they become available.
AB - PURPOSE: The Scottish Diabetes Research Network (SDRN)-diabetes research platform was established to combine disparate electronic health record data into research-ready linked datasets for diabetes research in Scotland. The resultant cohort, 'The SDRN-National Diabetes Dataset (SDRN-NDS)', has many uses, for example, understanding healthcare burden and socioeconomic trends in disease incidence and prevalence, observational pharmacoepidemiology studies and building prediction tools to support clinical decision making.PARTICIPANTS: We estimate that >99% of those diagnosed with diabetes nationwide are captured into the research platform. Between 2006 and mid-2020, the cohort comprised 472 648 people alive with diabetes at any point in whom there were 4 million person-years of follow-up. Of the cohort, 88.1% had type 2 diabetes, 8.8% type 1 diabetes and 3.1% had other types (eg, secondary diabetes). Data are captured from all key clinical encounters for diabetes-related care, including diabetes clinic, primary care and podiatry and comprise clinical history and measurements with linkage to blood results, microbiology, prescribed and dispensed drug and devices, retinopathy screening, outpatient, day case and inpatient episodes, birth outcomes, cancer registry, renal registry and causes of death.FINDINGS TO DATE: There have been >50 publications using the SDRN-NDS. Examples of recent key findings include analysis of the incidence and relative risks for COVID-19 infection, drug safety of insulin glargine and SGLT2 inhibitors, life expectancy estimates, evaluation of the impact of flash monitors on glycaemic control and diabetic ketoacidosis and time trend analysis showing that diabetic ketoacidosis (DKA) remains a major cause of death under age 50 years. The findings have been used to guide national diabetes strategy and influence national and international guidelines.FUTURE PLANS: The comprehensive SDRN-NDS will continue to be used in future studies of diabetes epidemiology in the Scottish population. It will continue to be updated at least annually, with new data sources linked as they become available.
KW - COVID-19
KW - Diabetes Mellitus, Type 2/complications
KW - Diabetic Ketoacidosis
KW - Humans
KW - Insulin Glargine
KW - Middle Aged
KW - Naphthalenesulfonates
KW - Scotland/epidemiology
KW - Sodium-Glucose Transporter 2 Inhibitors
U2 - 10.1136/bmjopen-2022-063046
DO - 10.1136/bmjopen-2022-063046
M3 - Article
C2 - 36223968
SN - 2044-6055
VL - 12
JO - BMJ Open
JF - BMJ Open
IS - 10
M1 - e063046
ER -