Background: The clinical presentation of SARS-CoV-2 varies from patient to patient. The most common findings noted were respiratory tract infections, of different severity grades. In some cases, multi-organ damage was noted. Due to its high potential for causing severe systemic inflammation such as myositis and myocarditis, patients should be properly investigated, which carries high chances of SARS-CoV-2 being easily missed if not investigated on time and which can result in more fatal outcomes. Case report: We present a case of COVID-19 infection in a non-vaccinated male patient, who presented to our clinic with no symptoms of respiratory involvement but with severe muscle aches. Cardiac markers and procalcitonin levels were high, and concentric hypertrophy of the left ventricle, severe hypokinesia of the interventricular septum and of the antero-lateral wall, hypokinesia of the inferior and posterior wall and an ejection fraction of the left ventricle being around 34% was noted. Coronary angiography showed no lesions. Corticosteroids and antibiotics were instituted which showed improvement. A possible link to an autoimmune process was suspected, due to the presence of anti-PL-7 antibody, suggesting an antisynthetase syndrome. Conclusion: Each and every patient should be thoroughly investigated, and presently little is known in regards to this virus. Studies focusing on possible relationships between the COVID-19 and autoimmune disease can help to potentially generate better outcomes.

Background and Objectives: The comorbid association between type 2 diabetes mellitus (T2DM) and a psychological profile characterized by depression and/or anxiety has been reported to increase the risk of coronary heart disease (CAD), the most striking macrovascular complication of diabetes. The purpose of the present study was to quantify anxiety, depression and the presence of type D personality, and to correlate the scores obtained with cardiovascular risk factors and disease severity in diabetic patients. Materials and methods: The retrospective study included 169 clinically stable diabetic patients divided into two groups: group 1 without macrovascular complications (n = 107) and group 2 with CAD, stroke and/or peripheral vascular disease (n = 62). A biochemical analysis and an assessment of psychic stress by applying the Hospital Anxiety and Depression Scale (HADS)and the Type D scale (DS-14) to determine anxiety, depression and D personality scores were done in all patients. Statistical analysis was made using SPSSv17 and Microsoft Excel, non-parametric Kruskal–Wallis and Mann–Whitney tests. Results: Following application of the HAD questionnaire for the entire group (n = 169), anxiety was present in 105 patients (62.2%), and depression in 96 patients (56.8%). Group 2 showed significantly higher anxiety scores compared to group 1 (p = 0.014), while depression scores were not significantly different. Per entire group, analysis of DS-14 scores revealed social inhibition (SI) present in 56 patients (33%) and negative affectivity (NA) in 105 patients (62%). TheDS-14 SI score was significantly higher in group 2 compared to group 1 (p = 0.036). Type D personality, resulting from scores above 10 in both DS-14 parameter categories, was present in 51 patients of the study group (30%). There was a direct and significant correlation (r = 0.133, p = 0.025) between the Hospital Anxiety and Depression Scale-Anxiety (HAD-A) score and the LDL-c values. Conclusions: The results of this study demonstrated that more than a half of patients with diabetes had anxiety and/or depression and one third had Type D personality, sustaining that monitoring of emotional state and depression should be included in the therapeutic plan of these patients. New treatment strategies are needed to improve the well-being of diabetic patients with psychological comorbidities.

Background: Negative psychological conditions are common in patients with cardiovascular diseases. Although depression has been scrutinized over the years in these patients, only recently has anxiety emerged as another important risk factor. The purpose of this study was to compare the parameters of psychological stress in a population of coronary patients with and without myocardial revascularization procedures and to analyze lifestyle and socio-economic contributors to the state of health of these patients before inclusion in a comprehensive individualized rehabilitation program. Methods: This study included 500 patients with coronary artery disease (CAD) in stable condition divided in 2 groups: 200 patients who underwent coronary artery bypass grafting (CABG) or percutaneous transluminal coronary angioplasty (PTCA) (Group 1) and 300 patients without myocardial revascularization (Group 2) with stable angina or thrombolyzed myocardial infarction. The protocol included screening for anxiety/depression after procedure using three different scales: Duke Anxiety-Depression Scale, Hospital Anxiety and Depression Scale (HADS) and the Type D Personality Scale (DS-14) scale that evaluates negative affectivity (NA) and social inhibition (SI). Results: Significant differences between groups were observed for HAD-A (9.1 ± 4.18 for Group 1 vs. 7.8 ± 4.03 for Group 2, p = 0.002) and DUKE scores (30.2 ± 12.25 for Group 1 vs. 22.7 ± 12.13 for Group 2, p < 0.001). HAD-A scores (p = 0.01) and DUKE scores (p = 0.04) were significantly higher in patients who underwent PTCA vs. CABG. CAD patients without myocardial revascularization (Group 2, n = 300) presented anxiety in proportion of 72.3% (n = 217) out of which 10.7% (n = 32) had severe anxiety, and 180 patients had depression (a proportion of 60%) out of which 1.3% (n = 4) presented severe depression. The correlation between the presence of type 2 diabetes mellitus (T2DM) and type D personality in revascularized patients (n = 200) was significant (Chi2 test, p = 0.010). By applying multinomial regression according to the Cox and Snell R-square model and multivariate linear regression by the Enter method, we demonstrated that male gender, age and marital status proved significant predictors for psychological stress in our study population. Conclusions: The results obtained in this study provide a framework for monitoring anxiety, depression and type D personality in coronary patients before inclusion in comprehensive rehabilitation programs. Behavioral and psychological stress responses in patients with CAD significantly correlate with risk factors, and could influence the evolution of the disease. Moreover, other factors like gender, income and marital status also seem to play a decisive role. Evaluation of psychological stress parameters contributes to a better individualization at the start of these programs, because it allows adjusting of all potential factors that may influence positive outcomes.

Background and Objectives: Autonomic nervous system (ANS) dysfunction is present in early stages of alcohol abuse and increases the likelihood of cardiovascular events. Given the nonlinear pattern of dynamic interaction between sympathetic nervous system (SNS) and para sympathetic nervous system (PNS) and the complex relationship with lifestyle factors, machine learning (ML) algorithms are best suited for analyzing alcohol impact over heart rate variability (HRV), because they allow the analysis of complex interactions between multiple variables. This study aimed to characterize autonomic nervous system dysfunction by analysis of HRV correlated with cardiovascular risk factors in young individuals by using machine learning. Materials and Methods: Total of 142 young adults (28.4 ± 4.34 years) agreed to participate in the study. Alcohol intake and drinking patterns were assessed by the AUDIT (Alcohol Use Disorders Identification Test) questionnaire and the YAI (Yearly Alcohol Intake) index. A short 5-min HRV evaluation was performed. Post-hoc analysis and machine learning algorithms were used to assess the impact of alcohol intake on HRV. Results: Binge drinkers presented slight modification in the frequency domain. Heavy drinkers had significantly lower time-domain values: standard deviation of RR intervals (SDNN) and root mean square of the successive differences (RMSSD), compared to casual and binge drinkers. High frequency (HF) values were significantly lower in heavy drinkers (p = 0.002). The higher low-to-high frequency ratio (LF/HF) that we found in heavy drinkers was interpreted as parasympathetic inhibition. Gradient boosting machine learner regression showed that age and alcohol consumption had the biggest scaled impact on the analyzed HRV parameters, followed by smoking, anxiety, depression, and body mass index. Gender and physical activity had the lowest impact on HRV. Conclusions: In healthy young adults, high alcohol intake has a negative impact on HRV in both time and frequency-domains. In parameters like HRV, where a multitude of risk factors can influence measurements, artificial intelligence algorithms seem to be a viable alternative for correct assessment.