Glycaemic Control in Patients Undergoing Percutaneous Coronary Intervention: What Is the Role for the Novel Antidiabetic Agents? A Comprehensive Review of Basic Science and Clinical Data .
Annunziata NuscaFrancesco PiccirilloFederico BernardiniAurelio De FilippisFederica ColettiFabio MangiacapraElisabetta RicottiniRosetta MelfiPaolo GalloValeria CammalleriNicola NapoliGian Paolo UssiaFrancesco GrigioniPublished in: International journal of molecular sciences (2022)
Coronary artery disease (CAD) remains one of the most important causes of morbidity and mortality worldwide, and revascularization through percutaneous coronary interventions (PCI) significantly improves survival. In this setting, poor glycaemic control, regardless of diabetes, has been associated with increased incidence of peri-procedural and long-term complications and worse prognosis. Novel antidiabetic agents have represented a paradigm shift in managing patients with diabetes and cardiovascular diseases. However, limited data are reported so far in patients undergoing coronary stenting. This review intends to provide an overview of the biological mechanisms underlying hyperglycaemia-induced vascular damage and the contrasting actions of new antidiabetic drugs. We summarize existing evidence on the effects of these drugs in the setting of PCI, addressing pre-clinical and clinical studies and drug-drug interactions with antiplatelet agents, thus highlighting new opportunities for optimal long-term management of these patients.
Keyphrases
- coronary artery disease
- percutaneous coronary intervention
- antiplatelet therapy
- patients undergoing
- coronary artery bypass grafting
- st segment elevation myocardial infarction
- type diabetes
- acute myocardial infarction
- st elevation myocardial infarction
- cardiovascular events
- cardiovascular disease
- drug induced
- end stage renal disease
- acute coronary syndrome
- ejection fraction
- coronary artery bypass
- aortic stenosis
- electronic health record
- chronic kidney disease
- newly diagnosed
- big data
- physical activity
- coronary artery
- diabetic rats
- oxidative stress
- peritoneal dialysis
- machine learning
- emergency department
- adipose tissue
- minimally invasive
- public health
- aortic valve
- ultrasound guided
- prognostic factors
- skeletal muscle