Background: Although the pathophysiology of coronary slow flow (CSF) has not been fully elucidated, emerging data increasingly support potential role for subclinical diffuse atherosclerosis in the etiology of CSF. We aimed to investigate relationship between atherogenic indices and CSF. Methods: 130 patients with CSF diagnosed according to Thrombolysis in Myocardial Infarction (TIMI)-frame count (TFC) method and 130 controls who had normal coronary flow (NCF) were included in this retrospective study. Atherogenic indices (atherogenic index of plasma [AIP], Castelli risk indices I and II [CRI-I and II]) were calculated using conventional lipid parameters. Results: The logistic regression analyses demonstrated that AIP (OR, 5.463; 95% confidence interval [CI], 1.357–21.991; p = 0.017) and CRI-II (OR, 1.624; 95% CI, 1.138–2.319; p = 0.008) were independent predictors of CSF. Receiver operating characteristic analysis showed that the optimal cutoff value to predict the occurrence of CSF was 0.66 for AIP (sensitivity, 59%; specificity, 73%; area under curve [AUC], 0.695; p < 0.001) and 3.27 for CRI-II (sensitivity, 60%; specificity, 79%; AUC, 0.726; p < 0.001). Conclusions: AIP and CRI-II levels were independent predictors of CSF. Prospective studies in larger cohorts of patients may elucidate the role of atherogenic dyslipidemia in the pathophysiology of CSF.

Background: In the latest reports, atherogenic indices have been related to acute coronary syndromes, stable coronary artery disease, heart failure and future cardiac events. Conventional atherosclerosis risk factors have been associated with mitral annular calcification (MAC), but data on the relationship between atherogenic indices and MAC are lacking. We aimed to investigate a possible relationship between MAC and atherogenic indices. Methods: In total 741 patients (n = 427 with MAC and n = 314 without MAC) who were examined in our cardiology clinic from February 2016 to October 2021 were recruited in the study. Mitral annular calcification was diagnosed by transthoracic 2-dimensional echocardiography. The atherogenic coefficient (AC), Castelli risk index 1 (CRI-1), Castelli risk index 2 (CRI-2) and atherogenic index of plasma (AIP) were calculated by utilizing standard lipid test values. Results: There was no statistically significant difference in sex, age, diabetes and hypertension status between the patient and the control groups. Serum triglyceride level, AIP, Hs-CRP, smoking and BMI were independently significantly associated with MAC in multiple regression analysis (p < 0.001). Conclusion: Higher AIP was related to the existence of MAC and also predict the presence of MAC independently. Studies evaluating the modification of these indices are needed.

Aims: Beyond the acute phase of the COVID-19 disease, many patients experience persistent symptoms, collectively termed "post-COVID syndrome," which includes autonomic dysfunction. Heart rate variability (HRV) is a well-established method to assess autonomic nervous system (ANS) function. This study aimed to investigate the long-term impact of COVID-19 on autonomic function through evaluating the changes in HRV. Methods: This retrospective study included 225 participants divided into two groups: 117 post-COVID patients and 108 age and gender matched controls. HRV was assessed using 24-hour Holter monitoring. Time-domain and frequency-domain indices were analyzed, including standard deviation of normal-to-normal intervals (SDNN), root mean square of successive RR interval differences (RMSSD), and low frequency (LF)/high frequency (HF) ratio. Statistical comparisons were performed using independent t-tests, Mann-Whitney U tests, and correlation analyses. Results: Post-COVID patients exhibited significantly lower HRV indices compared to controls. Time-domain metrics such as SDNN (135.7±39.5 ms vs 149.1±34.2 ms, p=0.007) and RMSSD (32.7±13.7 ms vs 37.5±14.7 ms, p=0.012) were reduced in the COVID-19 group. Frequency-domain indices, including total power (TP) and HF power, were also diminished. Correlation analysis revealed no significant association between the duration of time post-COVID (one-year follow-up) and most HRV parameters. Conclusion: Post-COVID patients experience significant autonomic dysfunction, marked by reduced parasympathetic activity and increased cardiovascular risks, with some evidence of partial recovery during sleep. Routine HRV monitoring and targeted interventions, alongside further research with larger cohorts, are crucial for better understanding of the long-term effects and improving patient outcomes.

Thoracic computed tomography angiography revealed a filling defect with an internal air density in the lower lobar branch of the left pulmonary artery accompanied by pleural fluid, in a patient who applied with sudden onset chest pain and dyspnoea. The filling defect remained stable after anticoagulant treatment. No progression or complications were observed in 5-year follow-up. In pulmonary embolism that does not resolve despite adequate treatment, non-thrombotic sources, particularly foreign body, should be considered.

Background and Objectives: Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease associated with significant morbidity, including cardiovascular complications. This study investigates the relationship between NAFLD and electrocardiographic parameters indicative of ventricular arrhythmia risk. Materials and Methods: We conducted a cross-sectional study enrolling 136 patients with NAFLD and 136 healthy controls. Electrocardiographic parameters—Tp-e interval, QT and corrected QT (QTc) intervals, and Tp-e/QTc ratio—were measured and compared between groups. Results: Patients with NAFLD exhibited significantly higher Tp-e, QTc, Tp-e/QT ratio, and Tp-e/QTc ratio (p < 0.001, for all) than controls. Subgroup analysis showed progressive increases in Tp-e and Tp-e/QT ratio correlating with NAFLD severity (p < 0.001 and p = 0.001, respectively, for grade 1 vs. grade 2; p < 0.001 and p = 0.001, respectively, for grade 1 vs. grade 3). ROC analysis indicated that the Tp-e interval was a strong predictor for identifying grade 2 or more NAFLD (AUC 0.887, p < 0.001). Conclusions: Our findings highlight the association of NAFLD with prolonged electrocardiographic intervals that may predispose patients to ventricular arrhythmias. These parameters can serve as valuable markers for cardiac risk stratification in patients with NAFLD, suggesting the need for vigilant cardiac follow-up in this population.

Background and Objectives: The prognostic value of Left Ventricular Global Function Index (LVGFI) in chronic cardiovascular diseases is well-documented; however, limited evidence exists for its utility in non-ST elevation myocardial infarction (NSTEMI). This study aims to evaluate LVGFI as a predictor of three-year mortality and major adverse cardiovascular events (MACE) in NSTEMI patients. Materials and Methods: This retrospective cohort study included 432 NSTEMI patients divided into tertiles based on LVGFI values: T1 (low), T2 (intermediate), and T3 (high). LVGFI values were derived from echocardiographic imaging. Kaplan–Meier survival analysis was used to assess outcomes, and the Cox proportional hazards models, adjusted for demographics and clinical covariates, determined the association between LVGFI tertiles and three-year outcomes. Results: The average age and sex distribution were similar across tertiles with no significant differences in cardiovascular risk factors or most laboratory parameters. However, significant differences were noted in body surface area (higher in T3), platelet counts (higher in T1), and triglyceride levels (lower in T3). The ROC analysis identified an optimal LVGFI cut-off of 23.22 for predicting three-year mortality, with a sensitivity of 72% and specificity of 75% (AUC: 0.81; 95% CI: 0.74–0.87, p < 0.001). Patients in the T1 exhibited a three-year mortality rate of 25%, compared to 2.1% in the T3. After adjustment, the hazard ratio (HR) for mortality was significantly higher in T1 (HR 11.86; 95% CI: 3.60–39.10) compared to T3. Similarly, MACE rates were highest in T1 (27.1%) and lowest in T3 (7.6%). Conclusions: LVGFI is a significant independent predictor of three-year mortality and MACE in NSTEMI patients.