Prediction of Major Adverse Cardiovascular Events From Retinal, Clinical, and Genomic Data in Individuals With Type 2 Diabetes: A Population Cohort Study.
Ify R MordiEmanuele TruccoMohammad Ghouse SyedTom MacGillivrayAdi NarYu HuangGittu GeorgeStephen HoggVenkatesan RadhaVijayaraghavan PrathibaRanjit Mohan AnjanaViswanathan MohanColin N A PalmerEwan R PearsonChim C LangAlex S F DoneyPublished in: Diabetes care (2022)
Retinal parameters alone and in combination with genome-wide CHD PRS have independent and incremental prognostic value compared with traditional CV risk assessment in type 2 diabetes.
Keyphrases
- cardiovascular events
- optical coherence tomography
- type diabetes
- genome wide
- risk assessment
- diabetic retinopathy
- cardiovascular disease
- coronary artery disease
- optic nerve
- dna methylation
- copy number
- electronic health record
- glycemic control
- heavy metals
- big data
- insulin resistance
- emergency department
- metabolic syndrome
- gene expression
- adverse drug
- deep learning
- data analysis
- weight loss