ABSTRACT
Background: Cardiac arrhythias had a significant association with the increased mortality rate in COVID-19 patients in hospitals. The present study aimed to evaluate the frequency of supraventricular arrhythmias in COVID-19 patients and to assess the echocardiographic parameters and inflammatory biomarkers in COVID-19 patients who developed supraventricular arrhythmias. Method(s): This cross-sectional study enrolled 196 patients, 33 of them developed supraventricular arrhythmias during hospitalization in Zagazig University isolation hospital. Result(s): There was a statistically significant association between the occurrence of atrial fibrillation (AF) and both oxygen saturation and lymphocyte percentage, which was significantly lower in those with AF. There was a statistically significant association between the occurrence of AF and CORADS, C-reactive protein (CRP), and interleukin-6, which were significantly higher in those with AF. Younger age and higher oxygen saturation decreased the risk of supraventricular tachycardia among the studied patients. Increasing oxygen saturation decreased the risk of AF among the studied patients, while higher CRP significantly increased risk by 1.045 folds. Conclusion(s): Atrial arrhythmias, especially with AF considered prevalent in cases with COVID-19. The atrial arrhythmias were correlated with higher cardiac injury and inflammatory markers and elevated severe COVID-19 clinical manifestations. Regarding mortality in-hospital, the association between COVID-19 and atrial arrhythmias was independent. 2023 Journal of Indian College of Cardiology.Copyright © 2023 Intervention, Journal of Mental Health and Psychosocial Support in Conflict Affected Areas.
ABSTRACT
Background: Remote rhythm monitoring with wearable devices is increasingly used especially for early detection of atrial fibrillation/flutter (AF/Afl), being the access to hospital discouraged, especially for frail elderly patients, due to the burden and risk of COVID-19 pandemic. Whereas devices using photo plethysmography (PPG) may misinterpret as AF pulse irregularities due to extrasystoles, patient-directed recording of a single (usually wrist-to-wrist) lead ECG (LEAD I) with hand-held devices or smartwatches have been developed to increase accuracy in AF detection. However, although recent studies validating such devices single-lead ECG recording have shown high sensitivity and specificity, false negative findings such as those reported here are still possible and must be prevented [1]. Purpose(s): Given previous experience of diagnostic uncertainty or failure of the smartwatch ECG (SW-ECG) LEAD I to detect AF/Afl, we have tested if false negative diagnosis could be avoided by recording in addition at least one right precordial (pseudo-V1) lead analyzed by a trained healthcare professional. Method(s): Over one calendar year observation, five patients with previous history of ablated supraventricular arrhythmias suffering sudden palpitations suspected of paroxysmal AF/Afl were instructed to record with their smartwatch at least one precordial lead in addition to LEAD I, to monitor ECG until the termination of symptoms. The SW-ECG strips were sent by telephone for professional interpretation. Diagnostic accuracy based on LEAD I and pseudo-V1 were independently validated by two cardiologists (diagnostic goldstandard - DGS). Result(s): 22 AF/Afl events occurred. Pharmacological cardioversion to sinus rhythm (SR) was obtained in 64%. 192 ECG strips were transmitted. 43,7% of the strips were automatically classified as not significant (or not valid ). Compared to DGS, out of 108 valid strips, correct automatic identification of AF/Afl was obtained in 36,4% with LEAD I, in 33,3% with pseudo V1 and in 54,5% with combined leads, respectively. Interestingly, the SW algorithm has wrongly diagnosed as SR, not only LEAD I, but also 39,4% of pseudo-V1 strips, despite clear-cut evidence of typical flutter waves (Figure 1), when RR intervals were regular due to high degree (e.g., 4:1) A-V block. Conclusion(s): With simple instructions, patients (or their relatives) can easily record an additional precordial (pseudo-V1) SW-ECG lead, that may enhance sensitivity and specificity for remote detection of AF/Afl. However, at present, visual interpretation of SW-ECG by a trained healthcare professional is still needed to guarantee 100% correct diagnosis of AF/Afl, crucial to reduce thromboembolic risk and timely initiate the appropriate treatments. The automatic interpretation of SW's ECG could be improved by appropriate training of a machine learning approach to detect and analyze the atrial waveform provided by an additional pseudo-V1 lead.
ABSTRACT
Introduction: During the last two years scientific evidence has been gathered regarding the cardiovascular complications of Covid-19. Nevertheless nationwide studies are still required to better understand both the incidence of less frequent clinical findings, and the prognostic implications of cardiovascular COVID-19 complications. Purpose(s): The aim of this study was to estimate the incidence of cardiovascular diseases among COVID-19 hospitalized patients in Spain during 2020, as well as their association with mortality, besides other clinical and epidemiological factors. Method(s): We used the Minimum Basic Data Set from the Spanish Ministry of Health (RAE-CMBD) to analyze the data of all COVID-19 hospitalized patients in Spain during 2020. This national database includes concurrent diagnostics of all studied patients codified according to the Tenth International Classification of Diseases (ICD-10). Logistic regression analysis was performed to evaluate the influence of the different clinical and epidemiological variables in the evolution of COVID-19 hospitalized patients. Odds ratios were obtained for each variable adjusting by age and sex, and also adjusting by the rest of clinical factors. The software used for analysis was STATA v 16.1. Result(s): 75585 men (55.15%) and 61468 women (44.85%) were hospitalized due to COVID-19 during 2020 in Spain. The median age was 66 in men and 71 in women. Mortality was 14.92% in males, and 13.81% in females. 9.62% of patients were admitted to intensive care unit (ICU). Mortality in ICU was 29.13%. Heart Failure (7.8%), Atrial Fibrillation (7.7%), Pulmonary Embolism (3.46%), Supraventricular Arrythmias (1.18%), Cardiomyopathy (1.06%), Acute Coronary Syndrome (0.87%), Ischemic Stroke (0.33%), Myocarditis (0.12%) Pericarditis (0.06%), or Takotsubo Disease (0.05%), were relevant cardiovascular findings in COVID-19 hospitalized patients (Table 1). In the logistic regression multivariate analysis in COVID-19 patients we found epidemiological predictors of in-hospital mortality such as age (OR 2.38 for each decade), or male sex (OR 1.39). Among the clinical predictors of mortality we differentiated cardiovascular ones as Acute Coronary Syndrome (OR 1.51), Ischemic Stroke (OR 1.46), or Heart Failure (OR 1.43);and non cardiovascular ones such as admission to ICU (OR 3.12), Adult Respiratory Distress Syndrome (OR 2.74), need for Mecanical Ventilation (OR 2.52), Acute Kidney Failure (OR 2.07), Liver damage (OR 1.67), or Dementia (OR 1.66), (Table 2) Conclusion(s): Heart Failure, Pulmonary Embolism, Ischaemic Heart Disease, Atrial fibrillation, Ischemic Stroke, or Cardiomyopathy were among the main cardiovascular diseases associated to COVID-19. They increased in a different measure the risk of mortality in COVID-19, together with factors such as Mecanical ventilation, ICU admission, Acute kidney failure, Dementia, Liver damage, Adult Respiratory Distress Syndrome, older age, or male sex. (Table Presented).