Hyperglycemia, inflammatory response and infarct size in obstructive acute myocardial infarction and MINOCA

All consecutive patients hospitalized for AMI (Policlinico Sant’Orsola-Malpighi Hospital and Maggiore Hospital, Bologna—Italy) who underwent coronary angiography (CAG) within the first 72 h from admission between January 2016 and March 2020 were included in the study. AMI was diagnosed in the presence of an increase and/or decrease of cardiac biomarker (troponin I high sensitivity—Tn I Hs) with at least one value above the 99th percentile upper reference limit associated with one of the following: symptoms of ischemia, new or presumed new significant ST-segment–T wave changes or new left bundle branch block, development of pathological Q waves in the EKG, and imaging evidence of new loss of viable myocardium or new regional wall motion abnormality [16, 17]. MINOCA was diagnosed according to the 2016 ESC MINOCA Position Paper criteria [18, 19]. Patients whose admission glycemia was not available were excluded from the study. Other exclusion criteria were severe valvular heart disease, prosthetic heart valves, severe anaemia, major acute bleeding, pulmonary embolism, fever (38 °C), hypertensive crisis, chronic renal failure (glomerular filtration rate < 30 mL/min/1.73 m2), autoimmune diseases, malignancies or ongoing cardiotoxic medications, and congenital heart disease.

Data were collected as part of an approved multicenter observational study called “AMIPE: Acute Myocardial Infarction, Prognostic and Therapeutic Evaluation” (ClinicalTrials.gov Identifier: NCT03883711). The present study was conducted according to the principles of the Declaration of Helsinki; all patients were informed about their participation in the registry and provided informed consent for the anonymous publication of scientific data.

The inflammatory response was evaluated using the following parameters: NLR, NPR, PLR, C-Reactive Proteine. In particular, NLR is the ratio of neutrophil and lymphocyte counts, NPR is the ratio of neutrophil and platelet counts, and PLR is obtained by dividing the platelet count by the lymphocytes. The other laboratory parameters were determined according to standard protocols.

For all patients, blood for hs-TnI evaluation was drawn at the moment of hospital admission and every 3–6 h thereafter for the following 24 h. The hs-TnI peak was considered the highest value before its fall. Comprehensive echocardiographic studies, including Doppler studies, were performed according to the current European recommendations [20].

All patients underwent 2D-echocardiogram before discharge, approximately 3 days after hospitalization. All studies were performed by experienced operators using Philips EPIQ and Affiniti ultrasonography machines. At least 3 consecutive beats were recorded for each view and all images were stored for offline analysis. Left ventricular ejection fraction (LVEF) was calculated with the biplane Simpson’s method acquiring volumes in both 4- and 2-chamber views, according to the European Association of Cardiovascular Imaging Guidelines [20]. Myocardial infarct size was also estimated using the left ventricular end-diastolic volume (LVEDV) and the left ventricular ejection fraction (LVEF).

Blood glucose levels were assessed at admission as part of the standard evaluation. Pre-existing DM was defined as known DM at the time of hospitalization irrespective of the therapeutic management (either diet and lifestyle measures alone or additional administration of oral glucose-lowering medication and insulin) [21]. According to the American Heart Association Scientific Statement, patients were categorised based on admission glucose levels as follows: normoglycemia < 140 mg/dl and hyperglycemia ≥ 140 mg/dl [2].

We analyzed the correlation of inflammatory and infarct size markers with hyperglycemia at hospital admission in patients with obs-AMI and in those with MINOCA. To this purpose, we first assessed the distribution of laboratory parameters using Shapiro-Wilks test and the homogeneity of variance using Levene’s test. We then compared laboratory parameters and infarct sizes between patients with or without hyperglycemia using Mann–Whitney U test or Student's t-test as appropriate. Categorical variables were compared between groups using χ [2] test. Lastly, we investigated differences in inflammatory biomarkers and infarct size of hyperglycemia in obstructive-AMI (obs-AMI) and MINOCA patients using univariate logistic regression models. The significance level was set to p < 0.05, and all analyses were performed using Stata 13.1 (Stata Corp., College Station, Texas, 2013) and IBM SPSS, version 25.0 (Fig. 1).

Over the 2450 patients with obs-AMI, hyperglycemia at admission was detected in 977 (40%) while no cases of hypoglycemia were observed. Notably, among hyperglycemic patients, a known T2DM was recorded in approximately half cases while less than 10% of normoglycemic subjects were diabetic. Hyperglycemic patients exhibited a worse cardiovascular risk profile and more comorbidities compared to normoglycemic ones. In fact, they were older, generally overweight, with a higher prevalence of hypertension and a history of cardiovascular events. As expected, a hyperglycemic status reflected an underlying altered glycol-lipid profile and was associated with a greater comorbidity burden, such as atrial fibrillation and chronic lung disease. Over 90% of normoglycemic obs-AMI patients presented with typical angina, while the percentage dropped to 83% among hyperglycemic patients (p < 0.001). Lastly, STEMI diagnosis at admission was similar between subgroups.

Among the 239 patients diagnosed with MINOCA, only 16.7% exhibited a hyperglycemic state at admission, and no cases of hypoglycemia were observed. Hyperglycemic patients were significantly older, with a higher prevalence of hypertension. Similarly to the obstructive cohort, hyperglycemic cases showed a worse metabolic profile, with higher cholesterol levels and a greater prevalence of T2DM. Interestingly, the glycemic status did not affect the history of cardiovascular events or the prevalence of comorbidities, except for atrial fibrillation which was more frequent among hyperglycemic patients. Again, typical angina was frequently observed among normoglycemic patients, while 35% of hyperglycemic subjects had a different clinical presentation (p = 0.004). STEMI was equally diagnosed among cohorts.

In obs-AMI patients, total white blood cell count, neutrophils, platelets, CRP and peak troponin I levels were significantly higher in aHGL group compared to normoglycemic cases (Table 3). Moreover, all inflammatory parameters (NLR, NPR and LPR) were markedly altered in hyperglycemic subjects, both at admission and after 24 h (Fig. 2 and Table 3). Additionally, these patients exhibited a greater LVEDV and a lower LVEF compared to normoglycemic ones. In the MINOCA cohort, inflammatory markers at admission were significantly higher in aHGL group compared to normoglycemic patients while no differences were observed after 24 h. Importantly, hyperglycemic and normoglycemic subjects exhibited similar infarct sizes (Table 3).

Comparing hyperglycemic obs-AMI and hyperglycemic MINOCA patients, similar values of inflammatory parameters were detected at admission. In contrast, higher levels of WBC and neutrophils were evident after 24 h among the obs-AMI cohort. Notably, hyperglycemic obs-AMI subjects exhibited higher troponin levels, greater LVEDVs and a depressed LV function, all markers of larger infarct size (Table 3).

Among our overall study population, hyperglycemia was more frequently observed in patients with obs-AMI. This subgroup of hyperglycemic subjects exhibited an “inflammatory status” as expressed by increased levels of all measured inflammatory markers. High values of NLR, NPR, PLR and CRP had been previously described in this setting, and our results are in line with the existing literature, confirming the relationship between glycemic disorders and inflammation in the context of obs-AMI [22, 23]. Indeed, the activation of inflammatory mediators and pathways is vastly described as a cornerstone of atherosclerosis [24], not only in terms of chronic arterial remodelling but also favouring plaque instability and rupture [25]. Moreover, some studies have identified an association of elevated inflammatory markers, including NPR and NLR, with larger infarct sizes and an increased risk of short-term mortality [12, 13, 26].

Hyperglycemia-mediated alterations may further precipitate the atherosclerotic process [27‐29]. In fact, not only does hyperglycemia amplify the inflammatory cascade, but it is also promoted by the inflammatory process itself throughout the generation of insulin-resistance and gluconeogenesis [30‐32]. As a result, the interplay between hyperglycemia and inflammation triggers a vicious circle, ultimately leading to a heightened atherosclerotic burden and plaque rupture [33] with an increased mortality risk [1, 23, 34].

The main novelty of our study is that for the first time, we investigated the correlation between glycemic levels inflammatory markers in MINOCA patients. Similarly, to the results observed in obs-AMI, hyperglycemic MINOCA subjects had higher values of NLR, NPR, and PLR than normoglycemic ones.

Shared underlying pathophysiological mechanisms may explain the complex interplay between hyperglycemia, inflammation and MINOCA. In particular, a central role seems to be played by endothelial dysfunction [35]. In this setting, several studies have identified endothelial dysfunction as a determinant factor towards coronary artery vasoconstriction and vasospasm, resulting in myocardial ischemia [36]. As abovementioned, inflammation has the possibility of impairing endothelial function throughout the reduction of endothelium-derived vasodilators bioavailability, thereby decreasing the expression of endothelial nitric oxide synthase (eNOS) and nitric oxide synthesis. Another potential mechanism is the cytokine-mediated imbalance of the autonomic nervous system. Specifically, the hypothalamic–pituitary–adrenal axis response to inflammation causes an upregulation of the sympathetic system leading to coronary vasoconstriction, affecting both macro and micro-circulation [37].

Although hyperglycemia in the context of MINOCA is still largely unexplored, it seems plausible that the same mechanisms described in obs-AMI may be valid in MINOCA as well. Supposedly, hyperglycemia can further precipitate the endothelial homeostasis and amplify the inflammatory process conferring an unbalanced vascular tone and a prothrombotic state, ultimately increasing the ischemic burden [38, 39].

Hyperglycemic obs-AMI patients showed a larger infarct size than normoglycemic ones while in MINOCA no correlation was observed between admission glucose levels and the extent of myocardial damage, which was overall modest in such cases.

The link between hyperglycemia and large infarct size in the context of obs-AMI is well established, and our results are in line with previously published studies [40, 41]. In fact, several strategies have been adopted to assess the impact of admission hyperglycemia on the extent of myocardial damage, all leading toward the same conclusion [42, 43].

On the other hand, the impact of hyperglycemia on the magnitude of infarct size in MINOCA patients is still unexplored. Our findings suggest for the first time a negligible correlation between admission glucose levels and myocardial damage among MINOCA cases, who overall exhibited a limited infarct size, especially when compared to hyperglycemic obs-AMI subjects. The explanation to such results might be found in CMR studies specifically focused on the myocardial substrate of MINOCA. In particular, studies showed areas of myocardial oedema either associated with small necrotic regions with a typical patchy distribution or even without necrosis [44, 45]. Since myocardial damage observed in our cohort was minimal, it is difficult to elucidate the actual impact of hyperglycemia in the still hazy world of MINOCA. Keeping in mind that endothelial dysfunction seems to be a key pathophysiological mechanism underlying MINOCA and it is known to be impaired by hyperglycemia as well, it appears plausible that an “hyperglycemic environment” can further alter the endothelial homeostasis and negatively affect the natural history of such patients, often characterized by heart failure with preserved ejection fraction. This hypothesis clearly requires future investigations in order to evaluate whether hyperglycemia may represent a prognostic risk factor for MINOCA subjects, regardless of a concomitant diabetes diagnosis [46‐51].

Our study had several limitations. First of all, analyses were conducted on a relatively small sample size, especially regarding the MINOCA cohort. Second, not all laboratory parameters were available for each patient. Furthermore, it is not possible to clarify whether admission hyperglycemia has a direct relationship with infarct size and inflammatory markers or simply represents a marker of myocardial ischemia. In fact, the study does not establish causality between hyperglycemia and acute myocardial infarction by the nature of its cross-sectional design.

In patients with suspected DM, no definite rule-out criteria were adopted. However, not all patients can undergo an oral glucose tolerance test in the setting of AMI. Therefore, HbA1c could be a reasonable alternative in this clinical situation. Lastly, in our study we did not evaluate other inflammatory markers such as IL-6, TNF-α, IL-1, and the soluble matricellular protein Cysteine-rich angiogenic inducer, which might reflect the inflammatory status more accurately. Taking into account that a correlation between such parameters and the indices adopted in our study was previously demonstrated [11‐14, 47, 48], we chose to use common and widely available inflammatory markers for simplicity.