RESUMEN
In this meta-analysis, we examine the advantages of invasive strategies for patients diagnosed with chronic coronary heart disease (CHD) and preserved left ventricular (LV) function, as well as those with significant LV systolic dysfunction (LV ejection fraction (EF) < 45%). MATERIAL AND METHODS: We conducted a systematic search to identify all randomized trials directly comparing invasive strategies with optimal medical therapy (OMT) in patients diagnosed with chronic CHD. Data from these trials were pooled using a random-effects meta-analysis. The primary outcome assessed was the all-cause mortality, while secondary endpoints included cardiovascular (CV) death, stroke, myocardial infarction (MI), and unplanned revascularization. This study was designed to assess the benefits of both invasive strategies and OMT in patients with preserved LV function and in those with LV systolic dysfunction. The statistical analysis of the data was conducted using the Review Manager (RevMan) software, version 5.4.1 (The Cochrane Collaboration, 2020). RESULTS: Twelve randomized studies enrolling 13,912 patients were included in the final analysis. Among the patients with chronic CHD and preserved LV systolic function, revascularization did not demonstrate a reduction in all-cause mortality (8.52% vs. 8.45%, p = 0.45), CV death (3.41% vs. 3.62%, p = 0.08), or the incidence of MI (9.88% vs. 10.49%, p = 0.47). However, the need for unplanned myocardial revascularization was significantly lower in the group following the initial invasive approach compared to patients undergoing OMT (14.75% vs. 25.72%, p < 0.001). In contrast, the invasive strategy emerged as the preferred treatment modality for patients with ischemic LV systolic dysfunction. This approach demonstrated lower rates of all-cause mortality (40.61% vs. 46.52%, p = 0.004), CV death (28.75% vs. 35.82%, p = 0.0004), and MI (8.19% vs. 10.8%, p = 0.03). CONCLUSIONS: In individuals diagnosed with chronic CHD and preserved LV EF, the initial invasive approach did not demonstrate a clinical advantage over OMT. Conversely, in patients with ischemic LV systolic dysfunction, myocardial revascularization was found to reduce the risks of CV events and enhance the overall outcomes. These findings hold significant clinical relevance for optimizing treatment strategies in patients with chronic CHD, contingent upon myocardial contractility status.
RESUMEN
AIM OF THE STUDY: The aim of this study was to perform a comparative analysis of severity of discordant aortic stenosis (AS) assessment using multiposition scanning and the standard apical window. MATERIALS AND METHODS: All patients (n = 104) underwent preoperative transthoracic echocardiography (TTE) and were ranked according to the degree of AS severity. The reproducibility feasibility of the right parasternal window (RPW) was 75.0% (n = 78). The mean age of the patients was 64 years, and 40 (51.3%) were female. In 25 cases, low gradients were identified from the apical window not corresponding to the visual structural changes in the aortic valve, or disagreement between the velocity and calculated parameters was detected. Patients were divided into two groups: concordant AS (n = 56; 71.8%) and discordant AS (n = 22; 28.2%). Three individuals were excluded from the discordant AS group due to the presence of moderate stenosis. RESULTS: Based on the comparative analysis of transvalvular flow velocities obtained from multiposition scanning, the concordance group showed agreement between the velocity and calculated parameters. We observed an increase in the mean transvalvular pressure gradient (ΔPmean) and peak aortic jet velocity (Vmax), ΔPmean in 95.5% of patients, velocity time integral of transvalvular flow (VTI AV) in 90.9% of patients, and a decrease in aortic valve area (AVA) and indexed AVA in 90.9% of patients after applying RPW in all patients with discordant AS. The use of RPW allowed the reclassification of AS severity from discordant to concordant high-gradient AS in 88% of low-gradient AS cases. CONCLUSION: Underestimation of flow velocity and overestimation of AVA using the apical window may lead to misclassification of AS. The use of RPW helps to match the degree of AS severity with the velocity characteristics and reduce the number of low-gradient AS cases.
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Drunk driving is an important risk factor significantly contributing to traffic accidents and their associated lethality. This meta-analysis of observational studies aims to provide the estimates of drunk driving prevalence in non-lethally injured motor vehicle drivers in relation to the world region, blood alcohol concentration (BAC), and quality of the primary study. A systematic search for observational studies that examined the prevalence of drunk driving in injured drivers was performed, and 17 studies comprising 232,198 drivers were included in the pooled analysis. The pooled prevalence of drunk driving in injured drivers was found to be 16.6% (95% CI: 12.8-20.3%; I2 = 99.87%, p < 0.001). In addition, the prevalence of alcohol use ranged from 5.5% (95% CI: 0.8-10.1%) in the Middle East, North Africa, and Greater Arabia region to 30.6% (95% CI: 24.6-36.5%) in the Asia region. As for the subgroups with different thresholds of BAC, the maximum value of 34.4% (95% CI: 28.5-40.3%) was found for a dose of 0.3 g/L. The prevalence of alcohol use reported by high-quality studies was 15.7% (95% CI: 11.1-20.3%), compared to 17.7% (95% CI: 11.3-24.2%) reported by studies of moderate quality. These findings could inform law enforcement efforts to promote road safety.
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Cardiopulmonary disorders cause a significant increase in the risk of adverse events in patients with COVID-19. Therefore, the development of new diagnostic and treatment methods for comorbid disorders in COVID-19 patients is one of the main public health challenges. The aim of the study was to analyze patient survival and to develop a predictive model of survival in adults with COVID-19 infection based on transthoracic echocardiography (TTE) parameters. We conducted a prospective, single-center, temporary hospital-based study of 110 patients with moderate to severe COVID-19. All patients underwent TTE evaluation. The predictors of mortality we identified in univariate and multivariable models and the predictive performance of the model were assessed using receiver operating characteristic (ROC) analysis and area under the curve (AUC). The predictive model included three factors: right ventricle (RV)/left ventricle (LV) area (odds ratio (OR) = 1.048 per 1/100 increase, p = 0.03), systolic pulmonary artery pressure (sPAP) (OR = 1.209 per 1 mm Hg increase, p < 0.001), and right ventricle free wall longitudinal strain (RV FW LS) (OR = 0.873 per 1% increase, p = 0.036). The AUC-ROC of the obtained model was 0.925 ± 0.031 (95% confidence interval (95% CI): 0.863−0.986). The sensitivity (Se) and specificity (Sp) measures of the models at the cut-off point of 0.129 were 93.8% and 81.9%, respectively. A binary logistic regression method resulted in the development of a prognostic model of mortality in patients with moderate and severe COVID-19 based on TTE data. It may also have additional implications for early risk stratification and clinical decision making in patients with COVID-19.
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The purpose of this work is to evaluate the quantitative parameters of magnetic resonance imaging (MRI), particularly diffusion-weighted imaging (DWI) and dynamic contrast enhancement (DCE) as well as positron-emission tomography, combined with computer tomography (PET/CT), with 18F-fluorodesoxyglucose, in the prediction of breast cancer molecular type. We studied the correlation between a set of parameters in the invasive ductal carcinoma of the breast, not otherwise specified (IDC-NOS) as it is the most common invasive breast tumor. The parameters were as follows: apparent diffusion coefficient (ADC) in DWI, positive enhancement integral (PEI) in DCE, maximum standardized uptake value (SUVmax) in 18F-FDG PET/CT, tumor size, grade, and Ki-67 index, level of lymph node metastatic lesions. We also evaluated the probability of a statistically significant difference in mean ADC, PEI, and SUVmax values for patient groups with different Nottingham prognostic index (NPI) and molecular tumor type. Statistically significant correlations between SUVmax, tumor size, and NPI, mean and minimal ADC values with Ki-67 and molecular tumor type were found. The PEI showed a correlation with the NPI risk level and was characterized by a relationship with the magnitude of the predicted NPI risk and regional lymph node involvement. The prognostic model created in our work allows for NPI risk group prediction. The SUVmax, ADC and PEI are non-invasive prognostic markers in the invasive breast cancer of no specific type. The correlation between ADC values and the expression of some tumor receptors can be used for in vivo molecular tumor type monitoring and treatment adjustment.