Prediabetes and Cardiometabolic Risk: The Need for Improved Diagnostic Strategies and Treatment to Prevent Diabetes and Cardiovascular Disease.
Juan Carlos Lizarzaburu-RoblesWilliam H HermanAlonso Garro-MendiolaAlba Galdón Sanz-PastorÓscar LorenzoPublished in: Biomedicines (2024)
The progression from prediabetes to type-2 diabetes depends on multiple pathophysiological, clinical, and epidemiological factors that generally overlap. Both insulin resistance and decreased insulin secretion are considered to be the main causes. The diagnosis and approach to the prediabetic patient are heterogeneous. There is no agreement on the diagnostic criteria to identify prediabetic subjects or the approach to those with insufficient responses to treatment, with respect to regression to normal glycemic values or the prevention of complications. The stratification of prediabetic patients, considering the indicators of impaired fasting glucose, impaired glucose tolerance, or HbA1c, can help to identify the sub-phenotypes of subjects at risk for T2DM. However, considering other associated risk factors, such as impaired lipid profiles, or risk scores, such as the Finnish Diabetes Risk Score, may improve classification. Nevertheless, we still do not have enough information regarding cardiovascular risk reduction. The sub-phenotyping of subjects with prediabetes may provide an opportunity to improve the screening and management of cardiometabolic risk in subjects with prediabetes.
Keyphrases
- type diabetes
- cardiovascular disease
- glycemic control
- insulin resistance
- blood glucose
- end stage renal disease
- ejection fraction
- adipose tissue
- machine learning
- newly diagnosed
- healthcare
- chronic kidney disease
- case report
- cardiovascular risk factors
- deep learning
- blood pressure
- social media
- peritoneal dialysis
- high throughput
- risk factors
- patient reported outcomes
- coronary artery disease
- health information
- polycystic ovary syndrome
- combination therapy