Inflammatory Profile in Left Ventricular Apical Thrombus.

OBJECTIVE: To investigate the relationship between systemic immune inflammation index (SII), C-reactive protein/albumin ratio (CAR), lymphocyte/CRP ratio (LCR), and apical thrombus development. STUDY DESIGN: Observational, cross-sectional study. Place and Duration of the Study: Bursa City Hospital, Turkey, from 1st January to 31st March 2023. METHODOLOGY: Twenty-two patients with a clinical presentation of acute anterior myocardial infarction and diagnosed with LVAT during follow-up were included. Sixty-eight patients with acute anterior myocardial infarction (AMI) were selected as the control group (comparison). Clinical and demographic characteristics, laboratory data, echocardiographic findings, coronary angiography, and percutaneous coronary intervention data were recorded. SII was calculated by the formula Neutrophil (N) × Platelet (P) / Lymphocyte (L). CAR and LCR values were also determined. RESULTS: While there was no significant difference between the two groups in terms of SII, CAR was significantly higher and LCR was significantly lower in the apical thrombus group. The cut-off value for CAR was 0.165 (sensitivity=63.64%, specificity=74.60%, AUC=0.718; p <0.05). For LCR, the AUC value of 0.382 and below was found to indicate the presence of apical thrombus with a probability of 69.8% (sensitivity=68.18%, specificity=67.16%, p= 0.002). CONCLUSION: No significant relationship was found between SII and apical thrombus in the detection of LVAT, whereas high CAR and low LCR were associated with the presence of apical thrombus. KEY WORDS: Left ventricular apical thrombus, Apical aneurysm, C-reactive protein/albumin ratio, Lymphocyte/C-reactive protein ratio, Systemic immune inflammation index.

The importance of baseline fractional flow reserve to detect significant coronary artery stenosis in different patient populations.

INTRODUCTION: Fractional flow reserve (FFR) assessment compares the blood flow on either side of a blockage in the coronary artery and indicates how severe the stenosis is in the artery. Intravenous adenosine is widely used to achieve conditions of stable hyperaemia for the measurement of FR. However, intravenous adenosine affects both systemic and coronary vascular beds differentially. Therefore, FFR has some limitations, such as the side effects of adenosine and the long procedure time. In addition, there are not enough studies on the evaluation of the baseline ratio of distal coronary pressure to aortic pressure (Pd/Pa) according to standard cut-off values in coronary stenosis under special clinical conditions. This study aimed to assess the diagnostic power of the baseline FFR value for critical coronary stenosis and to determine its predictive value in special patient groups. METHODS: This retrospective study included 158 patients, who were stratified as Q1 (< 0.89), Q2 (0.89-0.92), Q3 (0.93-0.95) and Q4 (> 0.95) based on baseline FFR values. The baseline Pd/Pa value, the change in adenosine FFR and the raw FFR change were recorded. Its predictive value was also calculated for specific patient groups. RESULTS: The threshold value of baseline FFR level for predicting critical stenosis was ≤ 0.92 with a sensitivity of 92.8% and a specificity of 82% (upper limit of Q2 cartilage). Patients with a baseline FFR value ≤ 0.92 had a 58.4-fold greater likelihood of a critical outcome compared with patients with a baseline FFR value > 0.92 (OR: 58.4; 95% CI: 20.3-124.6). In patients with a baseline FFR ≤ 0.92, the Q1 group had a 10.23-fold higher odds of critical stenosis compared with the Q2 group (OR: 10.23; 95% CI: 2.14-48.84). The same values had similar diagnostic power for all specific patient groups. CONCLUSION: The baseline FFR value could be used to predict critical coronary stenosis in our patients and had similar value for predicting lesion severity in all the subgroups.

Effect of Sarcopenia on Coronary Atherosclerotic Burden, Lesion Complexity, and Major Cardiovascular Events in Elderly Patients With Acute Coronary Syndrome: A 1-year Follow-up Study.

Sarcopenia is accepted as an indicator of subclinical atherosclerosis. However, its effects on clinical coronary atherosclerotic burden and lesion complexity and major adverse cardiovascular events (MACE) in elderly patients with non-ST elevation myocardial infarction (NSTEMI) are unknown. Therefore, we evaluated these possible effects. Coronary artery disease (CAD) burden and complexity were assessed using the Gensini and TAXus and cardiac surgery (SYNTAX) score, respectively. MACE involving nonfatal myocardial infarction, rehospitalization, ischemic stroke, and total mortality were evaluated after 1 year of the index NSTEMI event. The study included 240 elderly patients; of these, 60 (25%) patients had sarcopenia. The SYNTAX score and Gensini score were similar in both groups (16.8 ± 8.7 vs 17.3 ± 9.2, P = .63 and 67.7 ± 43.9 vs 73.9 ± 45.5, P = .31, respectively). The total MACE rate was significantly higher in patients with sarcopenia than in those without sarcopenia (31.7 vs 14.4%, P = .003). In the multivariate model, age [odds ratio (OR) 1.112, 95% CI: 1.006-1.228, P = .04)], ejection fraction (OR: .923, 95% CI: .897-.951, P < .001), and sarcopenia (OR: 2.262, 95% CI: 1.039-4.924, P = .04) were independently associated with MACE. Sarcopenia was independently associated with MACE but not with CAD burden or complexity in elderly patients with NSTEMI.

Awareness and Knowledge of Pneumococcal Vaccination in Cardiology Outpatient Clinics and the Impact of Physicians' Recommendations on Vaccination Rates.

AIM: We aimed to evaluate the awareness of pneumococcal vaccination (PCV13, PPSV23) in general cardiology outpatient clinics and impact of physicians' recommendations on vaccination rates. METHODS: This was a multicenter, observational, prospective cohort study. Patients over the age of 18 from 40 hospitals in different regions of Turkey who applied to the cardiology outpatient clinic between September 2022 and August 2021 participated. The vaccination rates were calculated within three months of follow-up from the admitting of the patient to cardiology clinics. RESULTS: The 403 (18.2%) patients with previous pneumococcal vaccination were excluded from the study. The mean age of study population (n = 1808) was 61.9 ± 12.1 years and 55.4% were male. The 58.7% had coronary artery disease, hypertension (74.1%) was the most common risk factor, and 32.7% of the patients had never been vaccinated although they had information about vaccination before. The main differences between vaccinated and unvaccinated patients were related to education level and ejection fraction. The physicians' recommendations were positively correlated with vaccination intention and behavior in our participants. Multivariate logistic regression analysis showed a significant correlation between vaccination and female sex [OR = 1.55 (95% CI = 1.25-1.92), p < 0.001], higher education level [OR = 1.49 (95% CI = 1.15-1.92), p = 0.002] patients' knowledge [OR = 1.93 (95% CI = 1.56-2.40), p < 0.001], and their physician's recommendation [OR = 5.12 (95% CI = 1.92-13.68), p = 0.001]. CONCLUSION: To increase adult immunization rates, especially among those with or at risk of cardiovascular disease (CVD), it is essential to understand each of these factors. Even if during COVID-19 pandemic, there is an increased awareness about vaccination, the vaccine acceptance level is not enough, still. Further studies and interventions are needed to improve public vaccination rates.

A Novel Index Combining Diastolic and Systolic Tissue Doppler Parameters for Prediction of Atrial Fibrillation Recurrence.

OBJECTIVE: Identification of patients at risk for atrial fibrillation (AF) recurrence with using simple and objective parameters may be helpful in tailoring the treatment. In this study, we investigated whether E/(Ea×Sa) and Ea/(Aa×Sa) could be a predictor of AF recurrence after cardioversion. (E = early diastolic transmitral velocity, Ea = early diastolic mitral annular velocity, Aa = late diastolic mitral annular velocity, Sa = systolic mitral annular velocity). METHODS: In total, 127 patients with persistent AF were evaluated for this study and 73 patients were included according to the study criteria. Sinus rhythm (SR) was achieved for 70 patients after electrical direct-current cardioversion. E, Sa, Ea, and Aa were determined at mitral medial and lateral site and average values obtained. E/(Ea×Sa) and Ea/(Aa×Sa) were calculated (medial, lateral, average). Heart rate and rhythm were followed with an electrocardiography (ECG) monitor and 12-lead ECG at first week and first month. RESULTS: At one month, 53 patients (75.7%) were in SR, whereas 17 patients (24.3%) reverted to AF. According to precardioversion E/(Ea×Sa) lateral, E/(Ea×Sa) medial, E/(Ea×Sa) average (P ≤ 0.01 for all the indices), 24-hour echocardiographic evaluation E/(Ea×Sa) lateral, E/(Ea×Sa) medial, E/(Ea×Sa) average, Ea/(Aa×Sa) lateral, Ea/(Aa×Sa) medial, and Ea/(Aa×Sa) average (P ≤ 0.01 for all the indices), indices were significantly higher in the AF recurrence group than in the SR group. Furthermore, the ROC analysis showed that all the E/(Ea×Sa) and Ea/(Aa×Sa) parameters predict the AF recurrence. The AUC values range from 70% to 81% (P ≤ 0.01 for all the parameters). In subgroup analysis of the patients, precardioversion mitral medial E/Ea ratio was between 8 and 15, and the ROC analysis showed that the novel indices predict the AF recurrence. The AUC values range from 72% to 86% (P ≤ 0.02 for all the parameters). CONCLUSIONS: We found that E/(Ea×Sa) and Ea/(Aa×Sa) indices are novel predictors of AF recurrence.