COVID-19-related cardiac lesion: The questions of pathogenesis and diagnostics

Coronavirus infection is still a topic of interest in the medical community today. Among the heterogeneous clinical manifestations of this disease, lesions of cardiac structures often occur. They are mainly inflammatory in nature and can be acute or delayed. Aside from myocarditis, coronavirus infection can induce cardiac injuries, including acute coronary syndrome, thromboembolic events, heart failure, and heart rhythm disturbances. It is well known that the prognosis for patients with cardiac lesions significantly worsens; timely diagnosis and treatment initiation play an important role in preventing severe complications. This review presents the most recent literature data on the pathogenesis of cardiac lesions in COVID-19 patients and discusses the rational diagnosis of this pathology using modern techniques, such as laboratory, functional imaging (cardiac magnetic resonance is the most important of these), and invasive ones. It is now established that diagnosing myocarditis caused by coronavirus infection differs fundamentally from diagnosing other types of myocarditis. Furthermore, the main aspects of inflammatory heart lesions associated with COVID-19 vaccination are discussed, as this complication occurs more frequently than is commonly believed. It is often used as a rationale for refusing vaccination; however, this decision may severely affect the individual and the population

Abernethy malformation: A case report

Congenital portosystemic shunts are rare congenital vascular malformations characterized by a partial or complete portal blood diversion into the systemic circulation. Congenital extrahepatic portosystemic shunts, known as Abernethy malformations, pose a diagnostic challenge due to their low incidence and clinical presentations. A 15-year-old male with a history of chronic epigastric pain and nausea, high arterial blood pressure, recurrent nose bleeds, chest pain, dizziness, dyspnea, low exercise tolerance, hematochezia, and itching was diagnosed with Abernethy malformation type Ib. Imaging studies revealed a dilated portal vein conduit flowing into the inferior vena cava, bypassing the porta hepatis. Multiple liver nodules, heart chamber dilatation, myocardial hypertrophy, and pulmonary hypertension were also discovered. Following multidisciplinary panel meetings, liver transplantation was advised due to the severity of the patients symptoms and shunt anatomy. Furthermore, diagnostic algorithms and other treatment options are discussed

The role of dual-energy computed tomography in the diagnosis of gout and other crystalline arthropathies: A review

The importance of dual-energy computed tomography in the diagnosis of gout, the principles of dual-energy computed tomography, the accuracy of the methodology, and the types of artifacts are discussed in this study. The possible dependence of the presence of deposits of sodium monourate on other clinical data and the role of dual-energy computed tomography in the differential diagnosis of other crystalline arthropathies are considered. The dual-energy computed tomography has several advantages, including noninvasiveness, speed of execution, and a significant reduction in the risk of iatrogenic consequences compared with diagnostic arthrocentesis, which is the gold standard in diagnosing gout. Dual-energy computed tomography can accomplish gout detection, treatment, and differential diagnosis

Analysis of the diagnostic and economic impact of the combined artificial intelligence algorithm for analysis of 10 pathological findings on chest computed tomography

BACKGROUND: Artificial intelligence technology can help solve the significant problem of missed findings in radiology studies. An important issue is assessing the economic benefits of implementing artificial intelligence. AIM: To evaluate the frequency of missed pathologies detection and the economic potential of artificial intelligence technology for chest computed tomography compared and validated by experienced radiologists. MATERIALS AND METHODS: This was an observational, single-center retrospective study. The study included chest computed tomography without IV contrast from June 1 to July 31, 2022, in Clinical Hospital in Yauza, Moscow. The computed tomography was processed using a complex artificial intelligence algorithm for 10 pathologies: pulmonary infiltrates, typical for viral pneumonia (COVID-19 in pandemic conditions); lung nodules; pleural effusion; pulmonary emphysema; thoracic aortic dilatation; pulmonary trunk dilatation; coronary artery calcification; adrenal hyperplasia; and osteoporosis (vertebral body height and density changes). Two experts analyzed computed tomography and compared results with artificial intelligence. Further routing was determined according to clinical guidelines for all findings initially detected and missed by radiologists. The hospital price list determined the potential revenue loss for each patient. RESULTS: From the final 160 computed tomographies, the artificial intelligence identified 90 studies (56%) with pathologies, of which 81 (51%) were missing at least one pathology in the report. The second-stage lost potential revenue for all pathologies from 81 patients was RUB 2,847,760 ($37,251 or CNY 256,218). Lost potential revenue only for those pathologies missed by radiologists but detected by artificial intelligence was RUB 2,065,360 ($27,017 or CNY 185,824). CONCLUSION: Using artificial intelligence as an assistant to the radiologist for chest computed tomography can dramatically minimize the number of missed abnormalities. Compared with the normal model without artificial intelligence, using artificial intelligence can provide 3.6 times more benefits. Using advanced artificial intelligence for chest computed tomography can save money

Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19

FUNDING SUPPORT AND AUTHOR DISCLOSURES Dr Williams is supported by the British Heart Foundation (FS/ICRF/ 20/26002). Dr Einstein has received speaker fees from Ionetix; has received consulting fees from W. L. Gore & Associates; has received authorship fees from Wolters Kluwer Healthcare – UpToDate; and has received grants or grants pending to his institution from Attralus, Canon Medical Systems, Eidos Therapeutics, GE Healthcare, Pfizer, Roche Medical Systems, W. L. Gore & Associates, and XyloCor Ther- apeutics. Dr Williams has received speaker fees from Canon Medical Systems. Dr Dorbala has received honoraria from Pfizer and GE Healthcare; and has received grants to her institution from Pfizer and GE Healthcare. Dr Sinitsyn has received congress speaker honoraria from Bayer, GE Healthcare, Siemens, and Philips. Dr Kudo has received research grants from Nihon Medi-physics and FUJIFILM Toyama Chemical. Dr Bucciarelli-Ducci is CEO (part-time) of the So- ciety for Cardiovascular Magnetic Resonance; and has received speaker fees from Circle Cardiovascular Imaging, Bayer, and Siemens Healthineers. All other authors have reported that they have no re- lationships relevant to the contents of this paper to disclose.Peer reviewedPublisher PD

International Impact of COVID-19 on the Diagnosis of Heart Disease

BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has adversely affected diagnosis and treatment of noncommunicable diseases. Its effects on delivery of diagnostic care for cardiovascular disease, which remains the leading cause of death worldwide, have not been quantified. OBJECTIVES The study sought to assess COVID-19's impact on global cardiovascular diagnostic procedural volumes and safety practices. METHODS The International Atomic Energy Agency conducted a worldwide survey assessing alterations in cardiovascular procedure volumes and safety practices resulting from COVID-19. Noninvasive and invasive cardiac testing volumes were obtained from participating sites for March and April 2020 and compared with those from March 2019. Availability of personal protective equipment and pandemic-related testing practice changes were ascertained. RESULTS Surveys were submitted from 909 inpatient and outpatient centers performing cardiac diagnostic procedures, in 108 countries. Procedure volumes decreased 42% from March 2019 to March 2020, and 64% from March 2019 to April 2020. Transthoracic echocardiography decreased by 59%, transesophageal echocardiography 76%, and stress tests 78%, which varied between stress modalities. Coronary angiography (invasive or computed tomography) decreased 55% (p < 0.001 for each procedure). In multivariable regression, significantly greater reduction in procedures occurred for centers in countries with lower gross domestic product. Location in a low-income and lower-middle-income country was associated with an additional 22% reduction in cardiac procedures and less availability of personal protective equipment and telehealth. CONCLUSIONS COVID-19 was associated with a significant and abrupt reduction in cardiovascular diagnostic testing across the globe, especially affecting the world's economically challenged. Further study of cardiovascular outcomes and COVID-19-related changes in care delivery is warranted

A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension

Aims The aim was to validate, update, and extend the Diamond-Forrester model for estimating the probability of obstructive coronary artery disease (CAD) in a contemporary cohort. Methods and results Prospectively collected data from 14 hospitals on patients with chest pain without a history of CAD and referred for conventional coronary angiography (CCA) were used. Primary outcome was obstructive CAD, defined as ≥50% stenosis in one or more vessels on CCA. The validity of the Diamond-Forrester model was assessed using calibration plots, calibration-in-the-large, and recalibration in logistic regression. The model was subsequently updated and extended by revising the predictive value of age, sex, and type of chest pain. Diagnostic performance was assessed by calculating the area under the receiver operating characteristic curve (c-statistic) and reclassification was determined. We included 2260 patients, of whom 1319 had obstructive CAD on CCA. Validation demonstrated an overestimation of the CAD probability, especially in women. The updated and extended models demonstrated a c-statistic of 0.79 (95% CI 0.77-0.81) and 0.82 (95% CI 0.80-0.84), respectively. Sixteen per cent of men and 64% of women were correctly reclassified. The predicted probability of obstructive CAD ranged from 10% for 50-year-old females with non-specific chest pain to 91% for 80-year-old males with typical chest pain. Predictions varied across hospitals due to differences in disease prevalence. Conclusion Our results suggest that the Diamond-Forrester model overestimates the probability of CAD especially in women. We updated the predictive effects of age, sex, type of chest pain, and hospital setting which improved model performance and we extended it to include patients of 70 years and olde

Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity

peer reviewedThe prospect of continued manned space missions warrants an in-depth understanding of how prolonged microgravity affects the human brain. Functional MRI can pinpoint changes reflecting adaptive neuroplasticity across time. We acquired resting-state functional MRI data in 15 cosmonauts before, shortly after, and seven months after spaceflight as a follow-up to assess global connectivity changes over time. Our results show persisting connectivity decreases in posterior cingulate cortex and thalamus. and persisting increases in the right angular gyrus. Connectivity in the bilateral insular cortex decreased after spaceflight, which reversed at follow-up. No significant connectivity changes across eight months were found in a matched control group. Overall, we show that altered gravitational environments influence functional connectivity longitudinally in multimodal brain hubs, reflecting adaptations to unfamiliar and conflicting sensory input in microgravity. These results provide new insights into brain functional modifications occurring during spaceflight, and their further development when back on Earth

Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts

Objectives To develop prediction models that better estimate the pretest probability of coronary artery disease in low prevalence populations