Additional file 1 of Microvascular complications identify a specific coronary atherosclerotic phenotype in patients with type 2 diabetes mellitus
Creators: name: Montone, Rocco A.
name: Pitocco, Dario
name: Gurgoglione, Filippo Luca
name: Rinaldi, Riccardo
name: Del Buono, Marco Giuseppe
name: Camilli, Massimiliano
name: Rizzi, Alessandro
name: Tartaglione, Linda
name: Rizzo, Gaetano Emanuele
name: Di Leo, Mauro
name: Flex, Andrea
name: Russo, Michele
name: Liuzzo, Giovanna
name: Magnani, Giulia
name: Bonadonna, Riccardo C.
name: Ardissino, Diego
name: Crea, Filippo
name: Niccoli, Giampaolo
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: Computational Biology

description: Additional file 1: Table S1. Predictors of DMC in the overall population by univariate and multivariate logistic regression analysis. Table S2. Clinical, echocardiographic and angiographic features in the overall OCT population according to the presence or absence of DMC. Table S3. Sensitivity analysis of OCT characteristics of coronary plaques in the culprit vessel according to the presence or absence of diabetic microvascular complications excluding patients with diabetic neuropathy. Table S4. Predictors of large calcifications in the OCT sub-group by univariate and multivariate logistic regression analysis. Table S5. Predictors of healed plaque phenotype in the OCT sub-group by univariate and multivariate logistic regression analysis. Table S6. Predictors of lipid plaque phenotype in the OCT sub-group by univariate and multivariate logistic regression analysis. Table S7. Sensitivity analysis of clinical outcome according to the presence or absence of diabetic microvascular complications including only patients on therapy with metformin at the time of discharge. Table S8. Sensitivity analysis of predictors of MACEs including only patients on therapy with metformin at the time of discharge by univariate and multivariate Cox regression analysis. Table S9. Sensitivity analysis of clinical outcome according to the presence or absence of diabetic microvascular complications including only patients with ACS as clinical presentation. Table S10. Sensitivity analysis of predictors of MACEs in the ACS population by univariate and multivariate Cox regression analysis. Table S11. Sensitivity analysis of clinical outcome according to the presence or absence of diabetic microvascular complications including only patients with CCS as clinical presentation. Table S12. Sensitivity analysis of predictors of MACEs in the CCS population by univariate and multivariate Cox regression analysis. Figure S1. A Clinical outcomes in the overall population stratified according to the number of DMC. B Kaplan–Meier curve for MACEs according to the number of DMC. Abbreviations: MACEs; Major Adverse Cardiovascular Events; DMC: Diabetic Microvascular Complications.