The total sampling consisted of 136 patients. The median age was 60 [ 54; 66] years. The study included a total of 74 men (67.5%), with a median age of 60 [ 54; 65] years, and 62 (32.5%) women, with a median age of 60 [ 54; 67] years.

Patients were divided into two groups in accordance with the study aims and tasks. The first group consisted of 69 patients with acute STEMI+AH, with a median age of 61 [ 55; 66] years. The first group included 47 men (68.1%), with a median age of 60 [ 54; 66] years, and 22 (31.9%) women, with a median age of 61 [ 59; 69] years.

The second group included 67 patients with acute STEMI+AH+T2DM, whose median age was 61 [ 55; 66] years. In this group, there were 51 men (76.1%) with a median age of 61 [ 56; 65] years and 16 women (23.9%) with a median age of 60 [ 54; 69] years.

Criteria for inclusion in the study:

Criteria for exclusion from the study:

Serum was used as the material for the evaluation of MMP9 levels. The level of MMP9 was determined using a standard test kit (Cloud-Clone Corp., China) in accordance with the manufacturer’s instructions. The intensity of the solution color was measured as optical density on an automatic vertical scanning photometer (Multiskan FC 1/00/79) at a wavelength of 450 nm. A calibration curve was constructed, which was used to find the desired MMP-9 levels in the serum samples.

The PWV study was conducted using the Poly-Spectrum-10 sphygmographic attachment (Neurossoft LLC, Ivanovo). Three sphygmograms (carotid, radial, and femoral arteries) and one ECG lead were recorded and analyzed simultaneously. PWV analysis was performed for muscular type arteries (MT) [m/s], arteries of elastic type (ET) [m/s], and the ratio of PWV for MT arteries to PWV for ET arteries (MT/ET)

Statistical processing of the research results was performed using Excel spreadsheets and the Statistica 10 software package (StatSoft Inc.). The nonparametric Kruskal-Wallis test was used, and pairwise comparisons were performed using the median rank comparison method. Related groups were compared using Wilcoxon’s test. Numerical data are presented as the median, first, and third quartiles Me (Q1; Q3). In pairwise comparisons of groups, the significance of differences between groups was adjusted using the Holm-Bonferroni adjustment for multiple comparisons. The threshold level of significance was p<0.05.

The main clinical data of the patients included in the study are presented in Table 1. All patients included in the study, regardless of their group affiliation, were comparable in terms of age. The BMI of all patients with T2DM included in the study ranged from 23.0 to 47 kg/m2, with a median BMI of 29.0 kg/m2, which was not significantly different (p=0.35) compared to patients without T2DM. BMI ranged from 16.0 to 43.3 kg/m2, with a median of 28.0 kg/m2. Patients with T2DM had a significantly lower EPI glomerular filtration rate (p<0.001) and a significantly higher HbA1C levels (p<0.001). Troponin I in patients with STEMI and T2DM was also significantly higher (p<0.001) than in patients with STEMI without T2DM.

At the hospital stage, the range of MMP-9 values in the first group was from 28 to 1340 ng/ml, with a median value of 297 ng/ml. A value above 600 was interpreted by statistical analysis as an outlier in this distribution. In the second group of patients with T2DM, a similar pattern was observed in the distribution of the indicator, but the median values of the indicator were 387 ng/ml, and the observed range of the indicator was 28–1560 ng/ml, which was higher than in the first group (p<0.001).

The values of the studied biomarkers were compared with the indicators of patients during the hospital period of the study (Table 3). The MMP9 values in both groups I and II showed a direct correlation with the HbA1C level. For group I, the Spearman correlation coefficient was 0.371, p=0.002, while for group II, the correlation was more pronounced, r=0.50, p<0.001 (Fig. 1). For group II, a significant relationship was found between MMP9 levels and the duration of CHD, p=0.018. This relationship is associated with the presence of long-term low-intensity inflammation in patients with T2DM and CHD. In addition, many studies showed that MMP9 levels increased as coronary atherosclerosis progressed.

A significant difference in PWV in MT vessels was found, as well as in the MT/ET ratio between patients in the compared groups. It should be noted that PWV in classical-type vessels was also significantly higher in the group of patients with T2DM. According to the published data, elevated PWV is strongly associated with the presence of T2DM [9]. This is associated with changes in connective tissue proteins. In patients diagnosed with T2DM, the elastin protein of the vascular wall is replaced by stiffer collagen fibers at an earlier stage than in patients without T2DM [10]. Vessels lose their elasticity and become more rigid.

It is known that vascular damage caused by previous prolonged hyperglycemia begins to predominate at HbA1c values ≥7.5%, which is a likely starting point for predicting increased vascular risk [11]. Important factors in the development of vascular complications in T2DM include increased glycation, degradation, and/or accumulation of elastin and collagen in the vascular wall. MMP9, which hydrolyzes protein components of the vascular extracellular matrix, is actively involved in this process [12]. A subgroup of MMP9, known as gelatinase B, can destroy collagen (COL), denatured COL (gelatin), elastin (EL), laminin, fibronectin, and other substrates. Disruption of gelatinase activity regulation is associated with vascular inflammation, remodeling, and fibrosis, and may contribute to the pathophysiology of diabetic complications. A study of patients with AH and T2DM showed that elevated serum PWV levels may reflect early structural changes in the extracellular matrix of blood vessels [13].

Statistically significant associations between MMP9 and HbA1c obtained by us are confirmed by the available published data. Elevated advanced glycation end products and extracellular matrix remodeling by matrix MMPs, in particular MMP9, are associated with vascular complications in T2DM.

There is a link between aortic stiffness, cardiovascular risk factors, and prognosis in patients who have recently suffered an acute myocardial infarction. Our study analyzed the relationship between cardiovascular risk factors and arterial stiffness and assessed its prognostic significance in patients with recently diagnosed STEMI.

Aortic PWV may be a more useful method for measuring changes in arterial stiffness over a long period of time, while wave reflection methods may be particularly useful for measuring short-term changes following therapeutic interventions.

Together with the determination of such prognostically significant factors as MMP9, the determination of PWV may become a significant method for determining the prognosis in patients with T2DM who have undergone STEMI.