Description of rare clinical case of AA-amyloidosis with involvement in pathological process of heart and lungs

Amyloidosis is a unique group of disorders caused by the insoluble protein fibers accumulation known as amyloid fibrils in extracellular tissue and organ spaces. The involvement of different organs and tissues in amyloidosis is often the cause of missed or delayed diagnosis, and amyloidosis remains a major clinical problem as it is associated with 1/1,000 deaths in developed countries. We present a case of a 59-year-old female patient with complaints of breath shortness while talking, a sense of air lack in the horizontal position, swelling of the lower limbs, reduction of blood pressure to a minimum of 70/50 mm Hg, weight reduction by 7 kg in 6 months, dizziness. The patient was hospitalized to the Cardiology Department of Scientific Research Institute – Ochapovsky Regional Clinical Hospital no. 1 with heart failure. The electrocardiogram revealed left ventricular hypertrophy. Echocardiography showed biventricular myocardial hypertrophy with a maximum interventricular septum thickness of 16 mm, nonuniform ventricular myocardial structure and reduction of global left ventricular comparability to 38%. Computer tomography of chest organs demostrated interstitial swelling of parenchyma of both lungs. The infection during the further examination. For the final morphological verification of the diagnosis, it was necessary to perform peripheral transbronchial biopsy S 3, 4, 5 of the left lung and myocardial biopsy with specific staining on amyloid using congo red. In the lung and myocardial biopsy, the colour of the congo red is positive. An immunohistochemical study of the lung tissue and myocardial sample revealed Amyloid AA expression. This case represents a rare cause of heart failure in a woman. A feature of this observation is the rare involvement in the pathological process of both pulmonary tissue and myocardium with AA-amyloid deposition

CASE OF CORONARY ARTERY SPASM WITH FATAL OUTCOME IN THE EARLY PERIOD AFTER PERCUTANEOUS TRANSLUMINAL CORONARY ANGIOPLASTY OF THE RIGHT CORONARY ARTERY WITH IMPLANTATION OF BARE METAL STENTS

The paper presents a clinical case of coronary artery spasm after implantation of bare metal stents. The 60-year-old man was admitted to the hospital with the progression of the coronary heart disease and high angina pectoris functional class for coronary angiography. The patient had the main predisposing factor for the development of coronary artery spasm, which is 20-year smoking history. Based on the results of the coronary angiography, the decision was made to conduct endovascular treatment. The patient was discharged on the 2nd day after angioplasty with implantation of two stents in the right coronary artery. On the evening of discharge, the man developed a severe pain attack in the epigastric region and turned to the hospital. The electrocardiogram revealed ST-segment elevation in leads II, III, aVF, T-waves were negative in leads I, aVL and V3-6. Repeat coronary angiography showed the stent implantation sites were passable, there was a pronounced diffuse coronary artery spasm, which could not be eliminated by intracoronary administration of nitroglycerin.Coronary artery spasm induced by coronary angioplasty with stent placement is a rare complication that can develop at different time intervals after endovascular intervention. Based on the presented clinical case, it appears  likely that even after bare metal stents implantation, the development of endovascular dysfunction leading to coronary spasm is possible

COVID-19 after emergency coronary artery bypass grafting: features of the postoperative course and prognosis

Introduction Coronavirus disease (COVID-19) caused by SARS-CoV-2 virus identified in 2019, forces cardiology departments to quickly adapt existing clinical guidelines to the new reality, and this is particularly relevant for scheduling patients with acute coronary syndrome (ACS). The article demonstrates how COVID-19 has affected emergency cardiac surgery care.Objective To analyze the features of completed cases of emergency coronary artery bypass grafting (ECABG) and COVID-19 diagnosed during the postoperative period at the Research Institute – Ochapovsky Regional Hospital no. 1 for the period from May 1, 2020 to February 1, 2021. Material and Methods Completed cases of ECABG have been retrospectively studied. EACS was performed in 145 patients: in 79 people with unstable angina pectoris (NS), in 40 with Q-negative myocardial infarction (MI), in 14 cases with primary Q-positive MI, in 12 patients with recurrent MI. The condition for ECABG was a negative SARS-Cov-2 PCR result and the absence of viral pneumonia by CT. The patients were divided into 2 subgroups. The first one included people with ECABG that were not diagnosed with COVID-19 during postoperative follow-up in the hospital. Subgroup II had patients with ECABG and COVID-19 diagnosed during the hospitalization.Results Contingency tables showed a statistically significant interaction between group membership and mortality, 2.3% (n = 3) in subgroup 1 and 20% (n = 3) in subgroup 2, Pearson’s test χ2 = 10.6, p < 0.05. When analyzing survival rate in the EACS + COVID-19 subgroup, it is worth paying attention to the cumulative proportion of survivors, considering the severity of the course of viral pneumonia. The proportion of such patients with CT-4 by the 32nd day of hospital stay was 0.3.Conclusions Mortality rate in the postoperative course after ECABG with COVID-19 is significantly higher. In patients who underwent ECABG and died in the early and late postoperative period from COVID-19, a new coronavirus infection was diagnosed at a later date. In these cases, a considerably longer duration of CPB and a higher level of ferritin were revealed at the time of transference to the observation department. Survival rate in ECABG patients due to primary Q-negative MI is significantly lower in comparison with patients hospitalized for unstable angina

Features of the course of coronavirus infection in patients after thoracic and cardiac surgery

Objective: To study the features of the coronavirus infection course in cardiosurgical and thoracic patients to determine the factors potentially affecting the possibility of lethal outcome. To identify the predictors of fatal outcome based on the analyses of the features of the coronavirus infection course in this category of patients.Material and methods: During the analyzed period 80 patients from the departments of thoracic surgery and cardiac surgery were transferred to the infectious diseases department: 20 patients from the cardiac surgery department (CSD) – group 1; 60 patients from the thoracic surgery departments (TSD) – group 2. A control group number 3 consisting of 59 non-thoracic and non-cardiosurgical patients was also formed. According to the disease outcome the patients were divided into two groups: group 1 – fatal outcome, group 2 – recovery.Results: Out of 80 patients, lethal outcome was recorded in 25 cases: 22 patients of the thoracic profile (36% of the total number of transferred from this department) and 3 patients of the cardiosurgical profile (15% of the total number of those transferred from the cardiac surgery department). 20 out of 20 cardiac patients had been operated on the day before, 49 out of 60 thoracic patients also underwent surgery. 3 people from the group of non-operated patients transferred from departments of thoracic surgery died. Moreover, after pneumonectomy, fatal outcome was recorded in 7 out of 8 cases (87.5%).Conclusion: During the analyses of indicators it was revealed that the number of fatal outcomes in patients of the thoracic profile with COVID-19 infection is higher than of the cardiosurgical profile and in the infectious diseases department. Presumably, this is due to the fact that coronavirus infection affects the lungs to a greater extent, and in patients with a thoracic profile (in particular, those who have undergone resection interventions), the volume of the lung parenchyma is initially reduced. This is confirmed particularly by the highest percentage of fatal outcomes after pneumonectomy. Cardiosurgical patients after surgical interventions do not have a reduction in the functioning lung parenchyma, which creates an additional “reserve” for recovery. Moreover, men predominate among patients of the thoracic profile, with the survival rate lower in all groups compared to women. Patients transferred from thoracic departments showed higher rates of systemic inflammation, which indicates a more severe course of the viral infection and the possible development of complications.When analyzing the predictors of lethal outcome, the following factors were identified: male gender and, in general, a more severe course of a viral infection (low saturation, a high percentage of lung lesions on CT, more pronounced changes in laboratory screening). The studied factors are associated with a large number of fatal outcomes in thoracic and cardiac surgery patients. Among the factors that do not affect the prognosis are diabetes mellitus, stroke and myocardial infarction in history.Thus, patients diagnosed with coronavirus infection that developed after thoracic surgery had the most unfavorable prognosis. The revealed patterns are of interest for optimizing the routing of this category of patients in order to prevent coronavirus infection

Prediction of the Possibility of Hemorrhagic Syndrome during Combined Antiplatelet Therapy According to the Krasnodar Region Registry

Background. According to the literature data, acute coronary syndrome (ACS) in 2-20 % of cases is combined with atrial fibrillation (AF). According to the current guidelines of the European Society of Cardiology (ESC), patients with coexisting AF and ACS should receive dual antiplatelet therapy for the prevention of recurrent cardiovascular events and anticoagulant therapy for the prevention of thromboembolic complications. However, this combination is fraught with the development of hemorrhagic syndrome.Aim. To develop a model and software module for predicting possible bleeding in patients with ACS combined with AF taking three-component antithrombotic therapy.Materials and Methods. To build prognostic models for the development of hemorrhagic syndrome, a statistical method was used for classification trees and the neural network procedure implemented in the STATISTICA package. To build prognostic models, a sample was used consisting of 201 patients with a combination of ACS and AF with and without fatal outcome, the state of which was described by 42 quantitative and qualitative clinical indicators. The control group included 205 patients with ACS and intact sinus rhythm.Results. To identify predictors of predictive models of the possible development of hemorrhagic syndrome in patients with triple antithrombotic therapy, the Spearman correlation coefficient was used. The study of correlations allowed to reveal clinical indicators – predictors of prognostic models. After analyzing the predictive ability of the developed models, a software module was created in the Microsoft Visual C # 2015 programming environment that allows determining the possibility of hemorrhagic syndrome in patients with a combination of ACS and AF using classification trees and neural networks.Сonclusion. A classification model and a software module were developed to predict possible bleeding in patients taking three-component antithrombotic therapy. Models contain both quantitative and qualitative (categorical) clinical indicators. The current level of development of data analysis technologies opens up broad horizons for medicine in solving problems on real medical data, without translating them into scoring risk scales, including prediction of the diagnosis of the disease, stage of the disease, treatment outcome, possible complications, etc. High reliability of such systems can be provided by large volumes of medical data accumulated on servers

Predicting Methods for Analyzing Data on Fatal Outcome Possibility in the Combination of Acute Coronary Syndrome and Atrial Fibrillation According to the Krasnodar Region Registry

With the development of atrial fibrillation (AF), patients with acute coronary syndrome (ACS) are characterized by a twofold increase in the 30-day mortality compared with patients with sinus rhythm. In this regard, there is great interest in developing models of risk stratification to identify adverse outcomes in these patients with a view to more careful monitoring of patients in this group.Material and methods. For the construction of predictive models, a statistical method was used for the classification trees and, the procedure for neural networks implemented in the STATISTICA package. For the construction of prognostic models, a sample was used, consisting of 201 patients with and without fatal outcome; condition of each patient was described by 42 quantitative and qualitative clinical indices. Each patient belonged to one of 3 groups according to the type of AF: new-onset AF in ACS patient, paroxysmal AF, documented in an anamnesis before the episode of ACS and the constant or persistent form of AF.Results. To determine predictors of models predicting the possible fatal outcome of a patient, the Spearman correlation coefficient was used. Examination of the correlations for each of the 3 groups separately allowed to reveal clinical indicators for each group – predictors of predictive models with predominantly moderate correlations to the categorical variable “lethal outcome”. After analyzing the prognostic ability of the developed models, a software module was created in the Microsoft Visual C # 2015 programming environment to determine lethal outcome possibility in patients with ACS in the presence of AF using classification trees and neural networks.Conclusion. It is shown that for patients with ACS in the presence of AF, it is possible to construct mathematically based prognostic models that can reliably predict the lethal outcome possibility in patients based on actual values of clinical indices. In this case, clinical indicators can be both quantitative and qualitative (categorical), breaking patients into certain categories. Similar applications, unlike risk scales, are mathematically justified and can form the basis of systems for supporting decision-making