A novel coronavirus, SARS-CoV-2, thought to have originated from bats causes COVID-19 infection which was first reported from Wuhan, China in December 2019. This virus has a high infectivity rate and has impacted a significant chunk of the population worldwide. The spectrum of disease ranges from mild to severe with respiratory system being the most commonly affected. Cardiovascular system often gets involved in later stages of the disease with acute cardiac injury, heart failure and arrhythmias being the common complications. In addition, the presence of cardiovascular co-morbidities such as hypertension, coronary artery disease in these patients are often associated with poor prognosis. It is still not clear regarding the exact mechanism explaining cardiovascular system involvement in COVID-19. Multiple theories have been put forward however, more robust studies are required to fully elucidate the “heart and virus” link. The disease has already made its presence felt on the global stage and its impact in the developing countries is going to be profound. These nations not only have a poorly developed healthcare system but there is also a huge burden of cardiovascular diseases. As a result, COVID-19 would adversely impact the already overburdened healthcare network leading to impaired cardiovascular care delivery especially for acute coronary syndrome and heart failure patients.

Background Coronavirus disease 2019 (COVID-19) has led to a widespread morbidity and mortality. Limited data exists regarding the involvement of cardiovascular system in COVID-19 patients. We sought to evaluate the cardiovascular (CV) complications and its impact on outcomes in symptomatic COVID-19 patients. Methods This was a single center observational study among symptomatic COVID-19 patients. Data regarding clinical profile, laboratory investigations, CV complications, treatment and outcomes were collected. Cardiac biomarkers and 12 lead electrocardiograms were done in all while echocardiography was done in those with clinical indications for the same. Corrected QT-interval (QTc) at baseline and maximum value during hospitalization were computed. Results Of the 108 patients, majority of them were males with a mean age of 51.2 ± 17.7 years. Hypertension (38%) and diabetes (32.4%) were most prevalent co-morbidities. ECG findings included sinus tachycardia in 18 (16.9%), first degree AV block in 5 (4.6%), VT/VF in 2 (1.8%) and sinus bradycardia in one (0.9%). QTc prolongation was observed in 17.6% subjects. CV complications included acute cardiac injury in 25.9%, heart failure, cardiogenic shock and acute coronary syndrome in 3.7% each, “probable” myocarditis in 2.8% patients. Patients with acute cardiac injury had higher mortality than those without (16/28 [57.1%] vs 14/78 [17.5%]; P < 0.0001). Multivariate logistic regression analysis showed that acute cardiac injury (OR: 11.3), lymphopenia (OR: 4.91), use of inotropic agents (OR: 2.46) and neutrophil-lymphocyte ratio (OR:1.1) were independent predictors of mortality. Conclusions CV complications such as acute cardiac injury is common in COVID-19 patients and is associated with worse prognosis.

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Introduction Cardiovascular dysautonomia comprising postural orthostatic tachycardia syndrome (POTS) and orthostatic hypotension (OH) is one of the presentations in COVID-19 recovered subjects. We aim to determine the prevalence of cardiovascular dysautonomia in post COVID-19 patients and to evaluate an Artificial Intelligence (AI) model to identify time domain heart rate variability (HRV) measures most suitable for short term ECG in these subjects. Methods This observational study enrolled 92 recently COVID-19 recovered subjects who underwent measurement of heart rate and blood pressure response to standing up from supine position and a 12-lead ECG recording for 60 s period during supine paced breathing. Using feature extraction, ECG features including those of HRV (RMSSD and SDNN) were obtained. An AI model was constructed with ShAP AI interpretability to determine time domain HRV features representing post COVID-19 recovered state. In addition, 120 healthy volunteers were enrolled as controls. Results Cardiovascular dysautonomia was present in 15.21% (OH:13.04%; POTS:2.17%) . Patients with OH had significantly lower HRV and higher inflammatory markers. HRV (RMSSD) was significantly lower in post COVID-19 patients compared to healthy controls (13.9 ± 11.8 ms vs 19.9 ± 19.5 ms; P = 0.01) with inverse correlation between HRV and inflammatory markers. Multiple perceptron was best performing AI model with HRV(RMSSD) being the top time domain HRV feature distinguishing between COVID-19 recovered patients and healthy controls. Conclusion Present study showed that cardiovascular dysautonomia is common in COVID-19 recovered subjects with a significantly lower HRV compared to healthy controls. The AI model was able to distinguish between COVID-19 recovered patients and healthy controls.

Objectives: Myocardial injury during active coronavirus disease-2019 (COVID-19) infection is well described; however, its persistence during recovery is unclear. We assessed left ventricle (LV) global longitudinal strain (GLS) using speckle tracking echocardiography (STE) in COVID-19 recovered patients and its correlation with various parameters.Methods: A total of 134 subjects within 30-45 days post recovery from COVID-19 infection and normal LV ejection fraction were enrolled. Routine blood investigations, inflammatory markers (on admission) and comprehensive echocardiography including STE were done for all.Results: Of the 134 subjects, 121 (90.3%) were symptomatic during COVID-19 illness and were categorized as mild: 61 (45.5%), moderate: 50 (37.3%) and severe: 10 (7.5%) COVID-19 illness. Asymptomatic COVID-19 infection was reported in 13 (9.7%) patients. Subclinical LV and right ventricle (RV) dysfunction were seen in 40 (29.9%) and 14 (10.5%) patients, respectively. Impaired LVGLS was reported in 1 (7.7%), 8 (13.1%), 22 (44%) and 9 (90%) subjects with asymptomatic, mild, moderate and severe disease, respectively. LVGLS was significantly lower in patients recovered from severe illness(mild: -21 ± 3.4%; moderate: -18.1 ± 6.9%; severe: -15.5 ± 3.1%; p < 0.0001). Subjects with reduced LVGLS had significantly higher interleukin-6 (p < 0.0001), C-reactive protein (p = 0.001), lactate dehydrogenase (p = 0.009), serum ferritin (p = 0.03), and troponin (p = 0.01) levels during index admission.Conclusions: Subclinical LV dysfunction was seen in nearly a third of recovered COVID-19 patients while 10.5% had RV dysfunction. Our study suggests a need for closer follow-up among COVID-19 recovered subjects to elucidate long-term cardiovascular outcomes.

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Bronchial anthracofibrosis (BAF), caused by long-standing exposure to biomass fuel smoke, has emerged as a distinct pulmonary disease. It is usually seen in elderly females who have worked long hours in poorly ventilated kitchen full of smoke due to incomplete combustion of biomass fuel. The diagnosis is confirmed on bronchoscopic visualization of bluish-black anthracotic pigmentation along with narrowing/distortion of the affected bronchus. BAF has been associated with clinical conditions such as pulmonary tuberculosis, chronic obstructive pulmonary disease, pneumonia, and malignancy. Tuberculosis, once thought to be the causative agent for BAF, is now considered to be an association. BAF has a diverse radiological presentation and the presence of associated clinical conditions often confound the radiological picture. The imaging features of BAF include primary imaging characteristics, which pertains to the disease entity directly, and secondary features based on the presence of associated conditions. High-resolution computed tomography findings of multifocal bronchial narrowing and peribronchial cuffing are considered to be specific diagnostic features of BAF. In addition, the diagnostic probability is increased in the presence of mediastinal adenopathy and collapse/atelectasis with middle lobe syndrome being the most common presentation. This pictorial essay highlights the range of imaging appearances in patients with BAF.

Background Variable clinical criteria taken by medical professionals across the world for myocarditis following COVID-19 vaccination along with wide variation in treatment necessitates understanding and reviewing the same. Objectives and Methods A systematic review was conducted to elucidate the clinical findings, laboratory parameters, treatment and outcomes of individuals with Myocarditis after COVID-19 vaccination after registering with PROSPERO. Electronic databases including MEDLINE, EMBASE, PubMed, LitCovid, Scopus, ScienceDirect, Cochrane Library, Google Scholar, Web of Science were searched. Results A total of 85 articles encompassing 2184 patients were analysed. It was a predominantly male (73.4%) and young population (Mean age 25.5 ± 14.2 years) with most having taken an mRNA-based vaccines (99.4%). The mean duration from vaccination to symptom onset was 4.01 ± 6.99 days. Chest pain (90.1%), dyspnoea (25.7%) and fever (11.9%) were the most common symptoms. Only 2.3% had comorbidities. CRP was elevated in 83.3% and cardiac troponin in 97.6% patients. An abnormal ECG was reported in 979/1313 (74.6%) patients with ST-segment elevation being most common (34.9%). Echocardiographic data was available for 1243 patients (56.9%) of whom 288 (23.2%) had reduced left ventricular ejection fraction. NSAIDS (76.5%), steroids (14.1%) followed by colchicine (7.3%) were used for treatment. Only 6 patients died among 1317 of whom data was available. Conclusion Myocarditis following COVID-19 vaccination is often mild, seen more commonly in young healthy males and is followed by rapid recovery with conservative treatment. The emergence of this adverse event calls for harmonizing case definitions and definite treatment guidelines which require wider research.