The impact of social deprivation on development and progression of diabetic kidney disease.
Caoimhe CaseyClaire M BuckleyPatricia M KearneyMatthew D GriffinSean F DinneenTomas P GriffinPublished in: HRB open research (2024)
This is a retrospective cohort study using an existing dataset of people living with diabetes who attended the diabetes centre at University Hospital Galway from 2012 to 2016. The variables included in this dataset include demographic variables, type and duration of diabetes, clinical variables such as medication use, blood pressure and BMI and laboratory data including creatinine, urine albumin to creatinine to ratio, haemoglobin A1c and lipids. This dataset will be updated with laboratory data until January 2023. Individual's addresses will be used to calculate deprivation indices using the Pobal Haase Pratschke (HP) deprivation index. Rate of renal function decline will be calculated using linear mixed-effect models. The relationship between deprivation and renal function will be assessed using linear regression (absolute and relative rate of renal function decline based on eGFR) and logistic regression models (rapid vs. non-rapid decline).
Keyphrases
- type diabetes
- cardiovascular disease
- glycemic control
- blood pressure
- electronic health record
- small cell lung cancer
- uric acid
- big data
- body mass index
- epidermal growth factor receptor
- tyrosine kinase
- machine learning
- heart rate
- physical activity
- hypertensive patients
- wound healing
- weight gain
- fatty acid
- artificial intelligence