An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

The source code of stable cox regression and the datasets that are exploited to demonstrate the usability of stable cox.

The source code of stable cox regression and the datasets that are exploited to demonstrate the usability of stable cox.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Aim: Previous studies have shown that both triglyceride glucose (TyG) and haemoglobin glycation indexes (HGI) are predictors of cardiovascular risk. However, the prognostic value of TyG index and HGI in patients with type 2 diabetes mellitus (T2DM) and stable coronary artery disease (CAD) is not determined. Methods: We conducted a nested case-control study among 1282 T2DM patients with stable CAD. Patients were followed up for 3846 person-years. A total of 160 patients with events (12.5%) were identified and matched individually on age, gender, previous use of lipid lowering agents and duration of follow-up with 640 controls. Results: In Kaplan–Meier analysis, the upper tertiles of TyG index and HGI had a significant lower event-free survival (p = .002; p = .036, respectively). Of the note, both TyG index and HGI were associated with increased risk of MACCEs after adjusting for confounding risk factors [adjusted HR (95% CI): 1.693 (1.238–2.316); 1.215 (1.046–1.411), respectively]. Moreover, adding TyG index to the Cox model increased the C-statistic to 0.638 (95%CI: 0.595–0.683, p = .002) while the C-statistic was not statistically improved when HGI was included (p = .240). Conclusions: Both TyG index and HGI could predict cardiovascular outcomes in T2DM patients with new-onset, stable CAD while TyG index might be better.Key messagesBoth TyG and HGI are predictors of cardiovascular risk.The prognostic value of TyG index and HGI in T2DM patients with stable coronary artery disease is not determined.Our study firstly indicates that TyG index might have better prognostic value than HGI in T2DM patients with new-onset, stable CAD. Both TyG and HGI are predictors of cardiovascular risk. The prognostic value of TyG index and HGI in T2DM patients with stable coronary artery disease is not determined. Our study firstly indicates that TyG index might have better prognostic value than HGI in T2DM patients with new-onset, stable CAD.