Longitudinal Trends in Cardiovascular Risk Factor Profiles and Complications Among Patients Hospitalized for COVID-19 Infection: Results From the American Heart Association COVID-19 Cardiovascular Disease Registry.

BACKGROUND: The COVID-19 pandemic has evolved through multiple phases characterized by new viral variants, vaccine development, and changes in therapies. It is unknown whether rates of cardiovascular disease (CVD) risk factor profiles and complications have changed over time. METHODS: We analyzed the American Heart Association COVID-19 CVD registry, a national multicenter registry of hospitalized adults with active COVID-19 infection. The time period from April 2020 to December 2021 was divided into 3-month epochs, with March 2020 analyzed separately as a potential outlier. Participating centers varied over the study period. Trends in all-cause in-hospital mortality, CVD risk factors, and in-hospital CVD outcomes, including a composite primary outcome of cardiovascular death, cardiogenic shock, new heart failure, stroke, and myocardial infarction, were evaluated across time epochs. Risk-adjusted analyses were performed using generalized linear mixed-effects models. RESULTS: A total of 46 007 patient admissions from 134 hospitals were included (mean patient age 61.8 years, 53% male, 22% Black race). Patients admitted later in the pandemic were younger, more likely obese, and less likely to have existing CVD (Ptrend ≤0.001 for each). The incidence of the primary outcome increased from 7.0% in March 2020 to 9.8% in October to December 2021 (risk-adjusted Ptrend=0.006). This was driven by an increase in the diagnosis of myocardial infarction and stroke (Ptrend<0.0001 for each). The overall rate of in-hospital mortality was 14.2%, which declined over time (20.8% in March 2020 versus 10.8% in the last epoch; adjusted Ptrend<0.0001). When the analysis was restricted to July 2020 to December 2021, no temporal change in all-cause mortality was seen (adjusted Ptrend=0.63). CONCLUSIONS: Despite a shifting risk factor profile toward a younger population with lower rates of established CVD, the incidence of diagnosed cardiovascular complications of COVID increased from the onset of the pandemic through December 2021. All-cause mortality decreased during the initial months of the pandemic and thereafter remained consistently high through December 2021.

Use and Prognostic Implications of Cardiac Troponin in COVID-19.

Myocardial injury is common in patients with COVID-19 and is associated with an adverse prognosis. Cardiac troponin (cTn) is used to detect myocardial injury and assist with risk stratification in this population. SARS-CoV-2 infection can play a role in the pathogenesis of acute myocardial injury due to both direct and indirect damage to the cardiovascular system. Despite the initial concerns about an increased incidence of acute myocardial infarction (MI), most cTn increases are related to chronic myocardial injury due to comorbidities and/or acute nonischemic myocardial injury. This review will discuss the latest findings on this topic.

[Features of the course of non-ST elevation myocardial infarction in patients with a history of COVID-19].

Aim      To study the clinical course of non-ST segment elevation myocardial infarction (NSTEMI) in hospitalized patients after COVID-19 and to evaluate the effect of baseline characteristics of patients on the risk of complications.Material and methods  The study included 209 patients with NSTEMI; 104 of them had had COVID-19. The course of myocardial infarction (MI) was analyzed at the hospital stage, including evaluation of the incidence rate of complications (fatal outcome, recurrent MI, life-threatening arrhythmias and conduction disorders, pulmonary edema, cardiogenic shock, ischemic stroke, gastrointestinal bleeding).Results Mean age of patients after COVID-19 was 61.8±12.2 years vs. 69.0±13.0 in the comparison group (p<0.0001). The groups were comparable by risk factors, clinical data, and severity of coronary damage. Among those who have had СOVID-19, there were fewer patients of the GRACE high risk group (55.8 % vs. 74.3 %; p<0.05). Convalescent COVID-19 patients had higher levels of C-reactive protein and troponin I (p<0.05). The groups did not significantly differ in the incidence of unfavorable NSTEMI course (p>0.05). However, effects of individual factors (postinfarction cardiosclerosis, atrial fibrillation, decreased SpO2, red blood cell concentration, increased plasma glucose) on the risk of complications were significantly greater for patients after COVID-19 than for the control group (p<0.05).Conclusion      Patients with NSTEMI, despite differences in clinical history and laboratory data, are characterized by a similar risk of death at the hospital stage, regardless of the past COVID-19. Despite the absence of statistically significant differences in the incidence of in-hospital complications, in general, post-COVID-19 patients showed a higher risk of complicated course of NSTEMI compared to patients who had not have COVID-19. In addition, for this category of patients, new factors were identified that previously did not exert a clinically significant effect on the incidence of complications: female gender, concentration of IgG to SARS-CoV-2 ≥200.0 U/l, concentration of С-reactive protein ≥40.0 mg/l, total protein <65 g/l. These results can be used for additional stratification of risk for cardiovascular complications in patients with MI and also for development of individual protocols for evaluation and management of NSTEMI patients with a history of COVID-19.

Common coronary artery occlusions in patients with myocardial infarction.

Introduction: coronary artery disease (CAD) is a significant cardiovascular disease (CVD) that affects people worldwide. This study aimed to determine the main occluded coronary arteries in patients with myocardial infarction in Najran, Kingdom of Saudi Arabia (KSA). Methods: a retrospective cross-sectional study conducted between March 2020 and March 2021 and involving 661 myocardial infarction patients recruited from two hospitals (King Khalid Hospital and Prince Sultan Centre for Healthcare in Najran) used sampling for enrolled patients. Patients over the age of 15 years, current residents of KSA, and diagnosed with coronary artery occlusion based on at least one identifiable coronary lesion on a coronary angiography were considered eligible. We created generalized linear mixed models to investigate patients´ clinical and coronary angiographic features and identify statistically relevant components. Results: there were 661 CAD cases in this study: 548 (82.9%) males and 113 (17.1%) females, with a mean and standard deviation (SD) age of 4.03 ± 1.370 years. Ages of the 661 participants ranged from 15 to 85, who had been diagnosed with myocardial infarction were evaluated. It was found that most of the patients were in the 55-64 age range. The majority of cases (366 (55.4%) had ST-segment elevation myocardial infarction (STEMI), 187 (28.3%) had non-ST-segment elevation (NSTEMI), 101 (15.3%) had acute coronary syndrome-non-ST-segment elevation (ACS-NSTEMI), and 7 (1.1%) had acute coronary syndrome-ST-segment elevation (ACS-STEMI). Conclusion: the left anterior descending artery (LAD) is the commonest lesion found in both ST-segment elevation and non-ST-segment elevation myocardial infarction patients.

COVID-19's influence on cardiac function: a machine learning perspective on ECG analysis.

In December 2019, the spread of the SARS-CoV-2 virus to the world gave rise to probably the biggest public health problem in the world: the COVID-19 pandemic. Initially seen only as a disease of the respiratory system, COVID-19 is actually a blood disease with effects on the respiratory tract. Considering its influence on hematological parameters, how does COVID-19 affect cardiac function? Is it possible to support the clinical diagnosis of COVID-19 from the automatic analysis of electrocardiography? In this work, we sought to investigate how COVID-19 affects cardiac function using a machine learning approach to analyze electrocardiography (ECG) signals. We used a public database of ECG signals expressed as photographs of printed signals, obtained in the context of emergency care. This database has signals associated with abnormal heartbeat, myocardial infarction, history of myocardial infarction, COVID-19, and healthy heartbeat. We propose a system to support the diagnosis of COVID-19 based on hybrid deep architectures composed of pre-trained convolutional neural networks for feature extraction and Random Forests for classification. We investigated the LeNet, ResNet, and VGG16 networks. The best results were obtained with the VGG16 and Random Forest network with 100 trees, with attribute selection using particle swarm optimization. The instance size has been reduced from 4096 to 773 attributes. In the validation step, we obtained an accuracy of 94%, kappa index of 0.91, and sensitivity, specificity, and area under the ROC curve of 100%. This work showed that the influence of COVID-19 on cardiac function is quite considerable: COVID-19 did not present confusion with any heart disease, nor with signs of healthy individuals. It is also possible to build a solution to support the clinical diagnosis of COVID-19 in the context of emergency care from a non-invasive and technologically scalable solution, based on hybrid deep learning architectures.

Trends in outcomes and resource utilization for acute myocardial infarction admissions during the COVID-19 pandemic.

During the early COVID-19 pandemic, resources were at times rationed, and as a result, cardiovascular outcomes may have suffered, however despite this, there is a paucity of national data specifically examining the relationship between COVID-19 and acute myocardial infarction (AMI). Some of the most robust previous cohort studies suggest the risk of AMI is increased in patients with COVID-19 infection, and disproportionately so in certain patient populations. To better define national trends in the associations between COVID-19 and AMI, this study aimed to examine demographics, outcomes, and health care utilization in hospitalizations for AMI with a codiagnosis of COVID-19 using a nationally representative database.

The Impact of COVID-19 National Lockdown on Myocardial Infarction (MI) Hospitalizations in Northern Jordan.

Background: During COVID-19 lockdown periods, several studies reported decreased numbers of myocardial infarction (MI) admissions. The lockdown impact has not yet been determined in developing countries. The aim of this study was to investigate the impact that of the lockdown measures might have had on the mean number of MI hospital admissions in Northern Jordan. Methodology: A single-center study examined consecutive admissions of MI patients during COVID-19 outbreak. Participants' data was abstracted from the medical records of King Abdullah University Hospital between 2018 and 2020. Mean and percentages of monthly admissions were compared by year and by lockdown status (pre-lockdown, lockdown, and post-lockdown time intervals). Results: A total of 1380 participants were admitted with acute MI symptoms: 59.2% of which were STEMI. A decrease in number of MI admissions was observed in 2020, from 43.1 (SD: 8.017) cases per month in 2019 to 40.59 (SD: 10.763) in 2020 (P < 0.0001) while an increase in the numbers during the lockdown was observed. The mean number during the pre-lockdown period was 40.51 (SD: 8.883), the lockdown period was 44.74 (SD: 5.689) and the post-lockdown was 34.66 (SD: 6.026) (P < 0.0001 for all comparisons). Similar patterns were observed when percentages of admissions were used. Conclusion: Upon comparing the lockdown period both to the pre- and post-lockdown periods separately, we found a significant increase in MI admissions during the lockdown period. This suggests that lockdown-related stress may have increased the risk of myocardial infarction.

Increased risk of acute myocardial infarction after COVID-19 recovery: A systematic review and meta-analysis.

BACKGROUND: Few studies have analyzed the incidence and the risk of acute myocardial infarction (AMI) during the post-acute phase of COVID-19 infection. OBJECTIVE: To assess the incidence and risk of AMI in COVID-19 survivors after SARS-CoV-2 infection by a systematic review and meta-analysis of the available data. METHODS: Data were obtained searching MEDLINE and Scopus for all studies published at any time up to September 1, 2022 and reporting the risk of incident AMI in patients recovered from COVID-19 infection. AMI risk was evaluated using the Mantel-Haenszel random effects models with Hazard ratio (HR) as the effect measure with 95% confidence interval (CI) while heterogeneity was assessed using Higgins and Thomson I2 statistic. RESULTS: Among 2765 articles obtained by our search strategy, four studies fulfilled the inclusion criteria for a total of 20,875,843 patients (mean age 56.1 years, 59.1% males). Of them, 1,244,604 had COVID-19 infection. Over a mean follow-up of 8.5 months, among COVID-19 recovered patients AMI occurred in 3.5 cases per 1.000 individuals compared to 2.02 cases per 1.000 individuals in the control cohort, defined as those who did not experience COVID-19 infection in the same period). COVID-19 patients showed an increased risk of incident AMI (HR: 1.93, 95% CI: 1.65-2.26, p < 0.0001, I2 = 83.5%). Meta-regression analysis demonstrated that the risk of AMI was directly associated with age (p = 0.01) and male gender (p = 0.001), while an indirect relationship was observed when the length of follow-up was utilized as moderator (p < 0.001). CONCLUSION: COVID-19 recovered patients had an increased risk of AMI.

The effect of COVID-19 pandemic on myocardial infarction care and on its prognosis - Experience at a high volume Hungarian cardiovascular center.

Introduction: The COVID-19 pandemic has impacted many aspects of acute myocardial infarction. Based on literature data, the prognosis of COVID+, STEMI patients is significantly worse than that of COVID- STEMI patients. On the other hand, physicians report fewer acute coronary syndrome (ACS) patients presenting to hospitals in countries severely affected by the pandemic. It is concerning that patients with life-threatening illness can suffer more complications or die due to their myocardial infarction. We aimed to investigate the changes in myocardial infarction care in the country's biggest PCI-center and to compare total 30-day mortality in COVID+ and COVID-patients with acute myocardial infarction treated at the Semmelweis University Heart and Vascular Center, and to investigate risk factors and complications in these two groups. Methods: Between 8 October 2020 and 30 April 2021, 43 COVID+, in 2018-2019, 397 COVID-patients with acute myocardial infarction were admitted. Total admission rates pre- and during the pandemic were compared. Results: Within 30 days, 8 of 43 patients in the COVID+ group (18.60%), and 40 of the 397 patients in the control group (10.07%) died (P = 0.01). Regarding the comorbidities, more than half of COVID+ patients had a significantly reduced ejection fraction (EF≤ 40%), and the prevalence of heart failure was significantly higher in this group (51.16% vs. 27.84%, P = 0.0329). There was no significant difference between the two patient groups in the incidence of STEMI and NSTEMI. Although there was no significant difference, VF (11.63% vs. 6.82%), resuscitation (23.26% vs. 10.08%), and ECMO implantation (2.38% vs. 1.26%) were more common in the COVID+ group. The mean age was 68.8 years in the COVID+ group and 67.6 years in the control group. The max. Troponin also did not differ significantly between the two groups (1,620 vs. 1,470 ng/L). There was a significant decline in admission rates in the first as well as in the second wave of the pandemic. Conclusions: The 30-day total mortality of COVID+ patients was significantly higher, and a more severe proceeding of acute myocardial infarction and a higher incidence of complications can be observed. As the secondary negative effect of the pandemic serious decline in admission rates can be detected.

Posterior Myocardial Infarction in a 45-Year-Old Javanese Woman with a 1-Month History of COVID-19-Related Guillain-Barré Syndrome: A Challenging Emergency Diagnosis.

BACKGROUND Guillain-Barre syndrome (GBS) is an autoimmune demyelinating disease that affects peripheral nerves and may be associated with nerve pain in the upper limbs and chest. Autonomic dysfunction in GBS can result in electrocardiography (ECG) changes that include T wave inversion, ST segment depression, or ST segment elevation. Recently, GBS was been recognized as a neurological consequence of COVID-19. This report describes the challenge of emergency diagnosis of posterior myocardial infarction (MI) in a 45-year-old Javanese woman who was known to have a 1-month history of COVID-19-related Guillain-Barre syndrome. CASE REPORT We report the case of a 45-year-old patient who presented to the Emergency Department (ED) with atypical angina. She had a history of GBS that started 2 weeks after she developed COVID-19. Since then, she frequently had pain in both legs and occasionally in the chest. Her electrocardiogram revealed subtle ST segment depression in the anteroseptal leads (V1-V4), along with ST segment elevation in the posterior leads (V7-V9). Cardiac marker (troponin I) was elevated and posterior regional wall motion abnormality was present on an echocardiogram. Coronary angiography revealed total occlusion of the first diagonal branch of the LAD, followed by deployment of drug-eluting stents to achieve good angiographic results. The patient was diagnosed with GBS and isolated posterior ST segment elevation myocardial infarction. CONCLUSIONS This report shows the importance of performing standard cardiac investigations for myocardial ischemia or infarction in patients known to have Guillain-Barre syndrome so that the patient can be treated appropriately and urgently to ensure the best possible outcome.

The impact of COVID-19 on clinical outcomes among acute myocardial infarction patients undergoing early invasive treatment strategy.

BACKGROUND: The implications of coronavirus disease 2019 (COVID-19) infection on outcomes after invasive therapeutic strategies among patients presenting with acute myocardial infarction (AMI) are not well studied. HYPOTHESIS: To assess the outcomes of COVID-19 patients presenting with AMI undergoing an early invasive treatment strategy. METHODS: This study was a cross-sectional, retrospective analysis of the National COVID Cohort Collaborative database including all patients presenting with a recorded diagnosis of AMI (ST-elevation myocardial infarction (MI) and non-ST elevation MI). COVID-19 positive patients with AMI were stratified into one of four groups: (1a) patients who had a coronary angiogram with percutaneous coronary intervention (PCI) within 3 days of their AMI; (1b) PCI within 3 days of AMI with coronary artery bypass graft (CABG) within 30 days; (2a) coronary angiogram without PCI and without CABG within 30 days; and (2b) coronary angiogram with CABG within 30 days. The main outcomes were respiratory failure, cardiogenic shock, prolonged length of stay, rehospitalization, and death. RESULTS: There were 10 506 COVID-19 positive patients with a diagnosis of AMI. COVID-19 positive patients with PCI had 8.2 times higher odds of respiratory failure than COVID-19 negative patients (p = .001). The odds of prolonged length of stay were 1.7 times higher in COVID-19 patients who underwent PCI (p = .024) and 1.9 times higher in patients who underwent coronary angiogram followed by CABG (p = .001). CONCLUSION: These data demonstrate that COVID-19 positive patients with AMI undergoing early invasive coronary angiography had worse outcomes than COVID-19 negative patients.

Characteristics and outcomes of patients presenting with acute myocardial infarction and cardiogenic shock during COVID-19.

OBJECTIVES: To evaluate characteristics and outcomes of patients presenting with acute myocardial infarction and cardiogenic shock (AMICS) during the coronavirus disease 2019 (COVID-19) pandemic. BACKGROUND: The COVID-19 pandemic has created challenges in delivering acute cardiovascular care. Quality measures and outcomes of patients presenting with AMICS during COVID-19 in the United States have not been well described. METHODS: We identified 406 patients from the National Cardiogenic Shock Initiative (NCSI) with AMICS and divided them into those presenting before (N = 346, 5/9/2016-2/29/2020) and those presenting during the COVID-19 pandemic (N = 60, 3/1/2020-11/10/2020). We compared baseline clinical data, admission characteristics, and outcomes. RESULTS: The median age of the cohort was 64 years, and 23.7% of the group was female. There were no significant differences in age, sex, and medical comorbidities between the two groups. Patients presenting during the pandemic were less likely to be Black compared to those presenting prior. Median door to balloon (90 vs. 88 min, p = 0.38), door to support (88 vs. 78 min, p = 0.13), and the onset of shock to support (74 vs. 62 min, p = 0.15) times were not significantly different between the two groups. Patients presented with ST-elevation myocardial infarction more often during the COVID-19 period (95.0% vs. 80.0%, p = 0.005). In adjusted logistic regression models, COVID-19 period did not significantly associate with survival to discharge (odds ratio [OR] 1.09, 95% confidence interval [CI] 0.54-2.19, p = 0.81) or with 1-month survival (OR 0.82, 95% CI 0.42-1.61, p = 0.56). CONCLUSIONS: Care of patients presenting with AMICS has remained robust among hospitals participating in the NCSI during the COVID-19 pandemic.

Mobile app and digital system for patients after myocardial infarction (afterAMI): study protocol for a randomized controlled trial.

BACKGROUND: Treatment of acute myocardial infarction has been the subject of studies over the past years. However, the initial months after myocardial infarction are crucial from the perspective of the patient's prognosis. It is extremely important to take care of all cardiovascular risk factors and undergo a full rehabilitation program. Telemedical solutions are becoming more and more relevant in everyday practice. We describe a protocol of a study evaluating the use of the mobile application "afterAMI" in patients after myocardial infarction. The app offers an educational mode, calendar, vital signs diary, medication reminders, medical history card, and healthcare professional contact panel. It offers several solutions, which individually proved to be effective and improve a patient's prognosis. Despite general promising results from previous studies regarding telemedical tools, there is a paucity of evidence when it comes to prospective randomized trials. Our aim was to perform a comprehensive evaluation of a newly developed mobile application in the clinical setting. METHODS: A group of 100 patients with myocardial infarction on admission at the 1st Chair and Department of Cardiology, Medical University of Warsaw, will be recruited into the study. The project aims to assess the impact of the application-supported model of care in comparison with standard rehabilitation. At the end of the study, cardiovascular risk factors will be analyzed, along with rehospitalizations, the patients' knowledge regarding cardiovascular risk factors, returning to work, and quality of life. In this prospective, open-label, randomized, single-center study, all 100 patients will be observed for 6 months after discharge from the hospital. Endpoints will be assessed during control visits 1 and 6 months after inclusion into the study. DISCUSSION: This project is an example of a telemedical solution application embracing everyday clinical practices, conforming with multiple international cardiac societies' guidelines. Cardiac rehabilitation process enhancements are required to improve patients' prognosis. The evidence regarding the use of the mobile application in the described group of patients is limited and usually covers a small number of participants. The described study aims to discuss whether telemedicine use in this context is beneficial for the patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT04793425 . Registered on 11 March 2021.

Reconsidering treatment guidelines for acute myocardial infarction during the COVID-19 pandemic.

BACKGROUND: COVID-19 affects healthcare resource allocation, which could lead to treatment delay and poor outcomes in patients with acute myocardial infarction (AMI). We assessed the impact of the COVID-19 pandemic on AMI outcomes. METHODS: We compared outcomes of patients admitted for acute ST-elevation MI (STEMI) and non-STEMI (NSTEMI) during a non-COVID-19 pandemic period (January-February 2019; Group 1, n = 254) and a COVID-19 pandemic period (January-February 2020; Group 2, n = 124). RESULTS: For STEMI patients, the median of first medical contact (FMC) time, door-to-balloon time, and total myocardial ischemia time were significantly longer in Group 2 patients (all p < 0.05). Primary percutaneous intervention was performed significantly more often in Group 1 patients than in Group 2 patients, whereas thrombolytic therapy was used significantly more often in Group 2 patients than in Group 1 patients (all p < 0.05). However, the rates of and all-cause 30-day mortality and major adverse cardiac event (MACE) were not significantly different in the two periods (all p > 0.05). For NSTEMI patients, Group 2 patients had a higher rate of conservative therapy, a lower rate of reperfusion therapy, and longer FMC times (all p < 0.05). All-cause 30-day mortality and MACE were only higher in NSTEMI patients during the COVID-19 pandemic period (p < 0.001). CONCLUSIONS: COVID-19 pandemic causes treatment delay in AMI patients and potentially leads to poor clinical outcome in NSTEMI patients. Thrombolytic therapy should be initiated without delay for STEMI when coronary intervention is not readily available; for NSTEMI patients, outcomes of invasive reperfusion were better than medical treatment.