Empagliflozin attenuates neointimal hyperplasia after drug-eluting-stent implantation in patients with type 2 diabetes.
Takehiro HashikataMasayasu IkutomiTakahiro JimbaAkito ShindoNobutaka KakudaSusumu KatsushikaMasaaki YokoyamaMikio KishiTakahiro SatoMasashiro MatsushitaSatoshi OhnishiMasao YamasakiPublished in: Heart and vessels (2020)
The effects of empagliflozin, a sodium-glucose co-transporter 2 inhibitor, on neointimal response after drug-eluting-stent (DES) implantation remains unknown. Insufficiently controlled diabetes patients with coronary artery disease planned for DES stenting were consecutively enrolled. The patients were assigned to receive empagliflozin in addition to standard therapy or intensive therapy using other glucose-lowering drugs (oGLD). The primary endpoint was thickness of neointimal hyperplasia (NIH) 12 months after stenting assessed by optical coherence tomography (OCT). A total of 28 patients were analyzed (n = 15 in the empagliflozin group, n = 13 in the oGLD group). The levels of glucose profile were not significantly different between both groups at follow-up [HbA1c; 7.2 ± 0.8 vs 7.3 ± 0.9%, p = 0.46]. In OCT analysis, neointima was significantly less in the empagliflozin group than the oGLD group [mean NIH thickness: 137 ± 32 vs 168 ± 39 μm, p = 0.02]. Changes of systolic and diastolic blood pressure (BP), changes of body mass index, and changes of hematocrit after additional treatment were significantly associated with NIH attenuation, whereas no correlation was observed in changes in blood glucose parameters. Multivariate logistic regression analysis revealed that changes in systolic BP was the strongest predictor for NIH attenuation, followed by changes in diastolic BP. In patients with type 2 diabetes, standard plus empagliflozin attenuated neointimal progression as compared with intensive standard therapy after DES implantation. Our data possibly support a beneficial effect of empagliflozin in type 2 diabetes required for coronary revascularization therapy.
Keyphrases
- blood pressure
- blood glucose
- optical coherence tomography
- type diabetes
- ejection fraction
- end stage renal disease
- left ventricular
- smooth muscle
- glycemic control
- newly diagnosed
- heart failure
- chronic kidney disease
- hypertensive patients
- peritoneal dialysis
- cardiovascular disease
- coronary artery disease
- stem cells
- prognostic factors
- patient reported outcomes
- metabolic syndrome
- antiplatelet therapy
- heart rate
- bone marrow
- data analysis
- atrial fibrillation
- acute coronary syndrome
- patient reported
- coronary artery bypass grafting
- mesenchymal stem cells
- single cell
- deep learning
- machine learning
- artificial intelligence
- coronary artery
- replacement therapy