Biomarker panels associated with progression of renal disease in type 1 diabetes.
Marco ColomboErkka ValoStuart J McGurnaghanNiina SandholmLuke A K BlackbournR Neil DaltonDavid DungerPer-Henrik GroopPaul M McKeigueCarol ForsblomHelen Martina Colhounnull nullPublished in: Diabetologia (2019)
Among a large set of associated biomarkers, a sparse panel of just CD27 and KIM-1 contains most of the predictive information for eGFR progression. The increment in prediction beyond clinical data was modest but potentially useful for oversampling individuals with rapid disease progression into clinical trials, especially where there is little information on prior eGFR trajectories.
Keyphrases
- small cell lung cancer
- type diabetes
- epidermal growth factor receptor
- clinical trial
- tyrosine kinase
- health information
- electronic health record
- depressive symptoms
- cardiovascular disease
- glycemic control
- big data
- insulin resistance
- healthcare
- social media
- machine learning
- skeletal muscle
- study protocol
- neural network