Incidence, risk factors and prognostic effect of imaging left ventricular diastolic dysfunction in patients with COVID-19: protocol for a systematic review.

INTRODUCTION: Recent reports linked acute COVID-19 infection in critical patients to cardiac structure and function abnormalities. The left ventricular (LV) diastolic dysfunction could result in obvious adverse prognostic impacts. The aim of this meta-analysis is to summarise the incidence, risk factors and the prognostic effect of imaging LV diastolic dysfunction in adult patients with COVID-19. METHODS: Databases to be used for the pertinent literature are PubMed, EMBase, ISI Knowledge via Web of Science, and preprint databases (MedRxiv and BioRxiv) (until May 2023) to identify all cohort studies in adult patients with COVID-19. The primary outcome will be the incidence of LV diastolic dysfunction assessed by echocardiography or cardiac MRI. Secondary outcomes will include the risk factors for LV diastolic dysfunction and the association with all-cause mortality during hospitalisation. Additional outcomes will be septal or lateral é, average E/é, E/A, peak tricuspid regurgitation velocity, left atrial volume index and LV wall thickness. Univariable or multivariable meta-regression and subgroup analyses will be conducted for related risk factors and the association of LV diastolic dysfunction with all-cause mortality. Sensitivity analyses will be used to assess the robustness of our results by removing each included study at one time to obtain and evaluate the remaining overall estimates of LV diastolic dysfunction incidence and related risk factors, association with all-cause mortality and other LV diastolic dysfunction parameters. ETHICS AND DISSEMINATION: There was no need for ethics approval for the systematic review protocol according to the Institutional Review Board/Independent Ethics Committee of Fuwai Hospital. This meta-analysis will be disseminated through a peer-reviewed journal for publication. PROSPERO REGISTRATION NUMBER: CRD42021256666; URL: https://www.crd.york.ac.uk/prospero/.

Left ventricular global longitudinal strain imaging in identifying subclinical myocardial dysfunction among covid-19 survivors.

BACKGROUND: Covid-19 is multi-system viral infection caused by SARS-CoV-2 virus. Apart from having acute severe respiratory illness causing high mortality, the disease also has a variety of cardiovascular manifestations contributing to morbidity as well as mortality. Cardiac dysfunction and myocarditis are well established complications of Covid-19 as evident in multiple studies after the Covid-19 pandemic. However it is not sufficiently studied in Indian patients either by Echocardiography or by any other imaging modalities like cardiac magnetic resonance imaging (MRI). METHODOLOGY: In this study, we analysed the severity of Left ventricular(LV) dysfunction in Covid-19 survivors. A total of 100 consecutive patients of Covid-19 after one month of discharge who had no underlying cardiovascular diseases underwent echocardiography and global longitudinal strain (GLS) imaging. This study cohort included patients with mild 42 (42%),moderate 46(46%) and severe 12(12%) Covid-19 disease as defined by computerised tomography (CT) severity score. RESULT: We observed that total 36(36%) patients had reduced ejection fraction(EF) which included 11 patients having EF <40% and remaining 25(25%) having EF 40-50% (p<0.002). Also 22 (22%) patients had abnormal global longitudinal strain (GLS) values with normal ejection fraction which is suggestive of subclinical myocarditis. We observed LV dysfunction in 7(19.5%) patients who had severe Covid-19 while mild to moderate LV dysfunction observed in 29(80.5%) non critical patients. CONCLUSION: In conclusion our study demonstrates that myocardial dysfunction is common in covid-19 regardless of disease severity. 2D-echocardiography with GLS is likely to detect early LV dysfunction among these patients.

Myocarditis after Covid-19 Vaccination in a Large Health Care Organization.

BACKGROUND: Reports have suggested an association between the development of myocarditis and the receipt of messenger RNA (mRNA) vaccines against coronavirus disease 2019 (Covid-19), but the frequency and severity of myocarditis after vaccination have not been extensively explored. METHODS: We searched the database of Clalit Health Services, the largest health care organization (HCO) in Israel, for diagnoses of myocarditis in patients who had received at least one dose of the BNT162b2 mRNA vaccine (Pfizer-BioNTech). The diagnosis of myocarditis was adjudicated by cardiologists using the case definition used by the Centers for Disease Control and Prevention. We abstracted the presentation, clinical course, and outcome from the patient's electronic health record. We performed a Kaplan-Meier analysis of the incidence of myocarditis up to 42 days after the first vaccine dose. RESULTS: Among more than 2.5 million vaccinated HCO members who were 16 years of age or older, 54 cases met the criteria for myocarditis. The estimated incidence per 100,000 persons who had received at least one dose of vaccine was 2.13 cases (95% confidence interval [CI], 1.56 to 2.70). The highest incidence of myocarditis (10.69 cases per 100,000 persons; 95% CI, 6.93 to 14.46) was reported in male patients between the ages of 16 and 29 years. A total of 76% of cases of myocarditis were described as mild and 22% as intermediate; 1 case was associated with cardiogenic shock. After a median follow-up of 83 days after the onset of myocarditis, 1 patient had been readmitted to the hospital, and 1 had died of an unknown cause after discharge. Of 14 patients who had left ventricular dysfunction on echocardiography during admission, 10 still had such dysfunction at the time of hospital discharge. Of these patients, 5 underwent subsequent testing that revealed normal heart function. CONCLUSIONS: Among patients in a large Israeli health care system who had received at least one dose of the BNT162b2 mRNA vaccine, the estimated incidence of myocarditis was 2.13 cases per 100,000 persons; the highest incidence was among male patients between the ages of 16 and 29 years. Most cases of myocarditis were mild or moderate in severity. (Funded by the Ivan and Francesca Berkowitz Family Living Laboratory Collaboration at Harvard Medical School and Clalit Research Institute.).

Left ventricular global longitudinal strain in low cardiac risk outpatients who recently recovered from coronavirus disease 2019.

The cardiac sequelae of coronavirus disease 2019 (COVID-19), a worldwide global pandemic, are still uncertain, particularly in the asymptomatic, low cardiac risk outpatient population. This study aims to evaluate the asymptomatic, low cardiac risk out-patient population who recently recovered from COVID-19, using 2-D left ventricular-global longitudinal strain (LV-GLS) proven to be capable of detecting subclinical myocardial injury. Out of 305 COVID-19 positive patients, 70 asymptomatic out-patients were determined as the study group and 70 age and sex-matched healthy adults as the control group. The echocardiographic examination was performed with the Philips IE33 system, and LV-GLS was measured using commercially available software QLAB 9 (cardiac motion quantification; Philips Medical Systems). The absolute value of LV-GLS ≤ 18 did deem to be impaired LV-GLS. The absolute value of LV-GLS was statistically significantly lower in the COVID-19 group than in healthy controls (19.17 ± 2.65 vs. 20.07 ± 2.19, p = 0.03). The correlation between having recovered from COVID-19 and impaired LV-GLS (≤18) did detect with the Pearson correlation test (p = 0.02). Having recovered from COVID-19 was found as a predictor for detecting impaired LV-GLS (≤18) in the multivariable logistic regression analysis (odds ratio, 0.133 (0.038-0.461); 95% CI, p = 0.001). This study suggests that COVID-19 may cause subclinical LV dysfunction detected by LV-GLS during early recovery even in a population of patients at low cardiac risk, asymptomatic, and recovered with home quarantine. The study findings indicate that the long-term cardiovascular follow-up of these patients may be more important than thought.

Hidden danger of COVID-19 outbreak: evaluation of subclinical myocardial dysfunction in patients with mild symptoms.

The COVID-19 infection, which is caused by the novel coronavirus SARS-CoV-2, has rapidly emerged as a global public health issue. Cardiac complications secondary to this infection are common and associated with mortality. This study aimed to evaluate whether subclinical myocardial dysfunction exists in non-hospitalized mildly symptomatic COVID-19 patients using left ventricular global longitudinal strain (LVGLS). In this cross-sectional, single-center study, data were collected from non-hospitalized mildly symptomatic COVID-19 patients between January 01 and February 01, 2021. Fifty (26 male, 24 female) COVID-19 patients and 50 age- and sex-matched healthy volunteers were included in the study. Apical four-, three-, and two-chamber images were analyzed longitudinally by conventional methods and speckle tracking echocardiography (STE) for left ventricle functions. The mean age of the COVID-19 patients was 39.5 ± 8.96, and 52% of them were male. The most prevalent presenting symptoms were fever [in 34 (68%)], asthenia [in 30 (60%)], loss of appetite [in 21 (42%)], myalgia [in 20 (40%)], and cough [in 13 (26%)]. Plasma levels of C-reactive protein (CRP) were significantly higher in the COVID-19 patients than in the controls (10.84 ± 12.44 vs. 4.50 ± 2.81, p < 0.001). There was no significant difference between the groups in terms of standard echocardiography and Doppler parameters (p > 0.05). Left ventricular longitudinal strain and strain velocity parameters were significantly decreased in COVID-19 patients compared to healthy individuals. LV-GLS values (- 21.72 ± 3.85% vs. - 23.11 ± 4.16%; p = 0.003) were significantly lower in COVID-19 patients compared with the healthy controls. Mildly symptomatic COVID-19 patients also have subclinical myocardial dysfunction similar to hospitalized patients. STE has the potential for detecting subclinical LV systolic dysfunction, and can provide useful information regarding cardiac status in mildly symptomatic COVID-19 population.

Cardiovascular sequalae in uncomplicated COVID-19 survivors.

BACKGROUND: A high proportion of COVID-19 patients were reported to have cardiac involvements. Data pertaining to cardiac sequalae is of urgent importance to define subsequent cardiac surveillance. METHODS: We performed a systematic cardiac screening for 97 consecutive COVID-19 survivors including electrocardiogram (ECG), echocardiography, serum troponin and NT-proBNP assay 1-4 weeks after hospital discharge. Treadmill exercise test and cardiac magnetic resonance imaging (CMR) were performed according to initial screening results. RESULTS: The mean age was 46.5 ± 18.6 years; 53.6% were men. All were classified with non-severe disease without overt cardiac manifestations and did not require intensive care. Median hospitalization stay was 17 days and median duration from discharge to screening was 11 days. Cardiac abnormalities were detected in 42.3% including sinus bradycardia (29.9%), newly detected T-wave abnormality (8.2%), elevated troponin level (6.2%), newly detected atrial fibrillation (1.0%), and newly detected left ventricular systolic dysfunction with elevated NT-proBNP level (1.0%). Significant sinus bradycardia with heart rate below 50 bpm was detected in 7.2% COVID-19 survivors, which appeared to be self-limiting and recovered over time. For COVID-19 survivors with persistent elevation of troponin level after discharge or newly detected T wave abnormality, echocardiography and CMR did not reveal any evidence of infarct, myocarditis, or left ventricular systolic dysfunction. CONCLUSION: Cardiac abnormality is common amongst COVID-survivors with mild disease, which is mostly self-limiting. Nonetheless, cardiac surveillance in form of ECG and/or serum biomarkers may be advisable to detect more severe cardiac involvement including atrial fibrillation and left ventricular dysfunction.

Prospective multicentre cohort study of transthoracic echocardiography provision in the South West of the UK during the first wave of SARS-CoV-2 pandemic.

AIMS: It was predicted internationally that transthoracic echocardiography (TTE) would be vital during the SARS-CoV-2 outbreak. We therefore, designed a study to report the demand for TTE in two large District General Hospitals during the rise in the first wave of the SARS-CoV-2 pandemic in the UK. A primary clinical outcome of 30-day mortality was also assessed. METHODS: The TTE service across two hospitals was reconfigured to maximise access to inpatient scanning. All TTEs of suspected or confirmed SARS-CoV-2 patients over a 3-week period were included in the study. All patients were followed up until at least day 30 after their scan at which point the primary clinical outcome of mortality was recorded. Comparative analysis based on mortality was conducted for all TTE results, biochemical markers and demographics. RESULTS: 27 patients with confirmed SARS-CoV-2 had a TTE within the inclusion window. Mortality comparative analysis showed the deceased group were significantly older (mean 68.4, SD 11.9 vs 60.5, SD 13.0, p=0.03) and more commonly reported fatigue in their presenting symptoms (29.6% vs 71.4%, p=0.01). No other differences were identified in the demographic or biochemical data. Left ventricular systolic dysfunction was noted in 7.4% of patients and right ventricular impairment or dilation was seen in 18.5% patients. TTE results were not significantly different in mortality comparative analysis. CONCLUSION: This study demonstrates an achievable approach to TTE services when under increased pressure. Data analysis supports the limited available data suggesting right ventricular abnormalities are the most commonly identified echocardiographic change in SARS-CoV-2 patients. No association can be demonstrated between mortality and TTE results.

Prominent Longitudinal Strain Reduction of Basal Left Ventricular Segments in Patients With Coronavirus Disease-19.

BACKGROUND: Coronavirus disease-19 (COVID-19) has been associated with overt and subclinical myocardial dysfunction. We observed a recurring pattern of reduced basal left ventricular (LV) longitudinal strain on speckle-tracking echocardiography in hospitalized patients with COVID-19 and subsequently aimed to identify characteristics of affected patients. We hypothesized that patients with COVID-19 with reduced basal LV strain would demonstrate elevated cardiac biomarkers. METHODS AND RESULT: Eighty-one consecutive patients with COVID-19 underwent speckle-tracking echocardiography. Those with poor quality speckle-tracking echocardiography (n = 2) or a known LV ejection fraction of <50% (n = 4) were excluded. Patients with an absolute value basal longitudinal strain of <13.9% (2 standard deviations below normal) were designated as cases (n = 39); those with a basal longitudinal strain of ≥13.9% were designated as controls (n = 36). Demographics and clinical variables were compared. Of 75 included patients (mean age 62 ± 14 years, 41% women), 52% had reduced basal strain. Cases had higher body mass index (median 34.1; interquartile range 26.5-37.9 kg/m2 vs median 26.9, interquartile range, 24.8-30.0 kg/m2, P = .009), and greater proportions of Black (74% vs 36%, P = .0009), hypertensive (79% vs 56%, P = .026), and diabetic patients (44% vs 19%, P = .025) compared with controls. Troponin and N-terminal pro-brain natriuretic peptide levels trended higher in cases, but were not significantly different. CONCLUSIONS: Reduced basal LV strain is common in patients with COVID-19. Patients with hypertension, diabetes, obesity, and Black race were more likely to have reduced basal strain. Further investigation into the significance of this strain pattern is warranted.

Left ventricular systolic dysfunction identification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients.

BACKGROUND: An artificial intelligence-augmented electrocardiogram (AI-ECG) can identify left ventricular systolic dysfunction (LVSD). We examined the accuracy of AI ECG for identification of LVSD (defined as LVEF ≤40% by transthoracic echocardiogram [TTE]) in cardiac intensive care unit (CICU) patients. METHOD: We included unique Mayo Clinic CICU patients admitted from 2007 to 2018 who underwent AI-ECG and TTE within 7 days, at least one of which was during hospitalization. Discrimination of the AI-ECG for LVSD was determined using receiver-operator characteristic curve (AUC) values. RESULTS: We included 5680 patients with a mean age of 68 ± 15 years (37% females). Acute coronary syndrome (ACS) was present in 55%. LVSD was present in 34% of patients (mean LVEF 48 ± 16%). The AI-ECG had an AUC of 0.83 (95% confidence interval 0.82-0.84) for discrimination of LVSD. Using the optimal cut-off, the AI-ECG had 73%, specificity 78%, negative predictive value 85% and overall accuracy 76% for LVSD. AUC values were higher for patients aged <70 years (0.85 versus 0.80), males (0.84 versus 0.79), patients without ACS (0.86 versus 0.80), and patients who did not undergo revascularization (0.84 versus 0.80). CONCLUSIONS: The AI-ECG algorithm had very good discrimination for LVSD in this critically-ill CICU cohort with a high prevalence of LVSD. Performance was better in younger male patients and those without ACS, highlighting those CICU patients in whom screening for LVSD using AI ECG may be more effective. The AI-ECG might potentially be useful for identification of LVSD in resource-limited settings when TTE is unavailable.