Automated left atrial strain analysis for predicting atrial fibrillation in severe COVID-19 pneumonia: a prospective study

Left Atrial Strain in Omicron-Type COVID-19 Patients

Background

Information about left atrial (LA) 2-dimensional (2D) strain parameters in patients with the Omicron variant of COVID-19 is limited. The aim of this study is to evaluate LA strain (LAS) in COVID-19 patients with the Omicron variant and compare it to that of propensity-matched patients with the wild-type (WT) variant.

Methods

A total of 148 consecutive patients who were hospitalized with Omicron COVID-19 underwent an echocardiographic evaluation within the first day after hospital admission and were compared to propensity-matched patients (1:1) with the WT variant. LA 2D speckle tracking echocardiography parameters included the following: LAS, reservoir (LASr); LAS, conduit (LAScd); LAS, contraction (LASct); and LASr to the ratio between early mitral inflow velocity/mitral annular early diastolic velocity (E/e'). The values for the parameters that occurred during acute Omicron-type infection were compared with those found on historic examinations in 36 patients.

Results

Compared to the matched WT cohort, patients with acute Omicron-type infection had similar LASr (31.3% ± 13.3% vs 33.0% ± 14.2%), LAScd (-18.7% ± 9.8% vs -18.6% ± 10.8%), and LASct (-12.5% ± 8.6% vs -13.6% ± 8.2%) values (P > 0.2 for all), but a higher E/e' ratio (11.8 ± 6 vs 10.1 ± 7; P = 0.03). Surprisingly, LASr (31.9% ± 13.7% vs 22.6% ± 13.9%; P = 0.04) and LAScd (-18.7% ± 9.7% vs -10.7% ± 6.6%; P < 0.001) improved in patients during acute infection. LASr, LAScd, and LASr/(E/e') were significantly associated with an increased risk of either in-hospital mortality, need for mechanical ventilation, or the combined event.

Conclusions

In hospitalized patients with an Omicron COVID-19 infection, LAS parameters are similar to those of matched patients with WT variant and are associated with mortality and respiratory deterioration. These abnormalities were recorded previously in the 36 patients with historical echocardiograms, suggesting that they are related to background cardiac disease.

Cardiac Function and Structure before and after Mild SARS-CoV-2 Infection in Elite Athletes Using Biventricular and Left Atrial Strain

BACKGROUND/OBJECTIVES

Myocardial involvement has been observed in athletes following SARS-CoV-2 infection. It is unclear if these changes are due to myocardial damage per se or to an interruption in training. The aim of this study was to assess cardiac function and structure in elite athletes before and after infection (INFAt) and compare them to a group of healthy controls (CON).

METHODS

Transthoracic echocardiography was performed in 32 elite athletes, including 16 INFAt (median 21.0 (19.3-21.5) years, 10 male) before (t0) and 52 days after (t1) mild SARS-CoV-2 infection and 16 sex-, age- and sports type-matched CON. Left and right ventricular global longitudinal strain (LV/RV GLS), RV free wall longitudinal strain (RV FWS) and left atrial strain (LAS) were assessed by an investigator blinded to patient history.

RESULTS

INFAt showed no significant changes in echocardiographic parameters between t0 and t1, including LV GLS (-21.8% vs. -21.7%, p = 0.649) and RV GLS (-29.1% vs. -28.7%, p = 0.626). A significant increase was observed in LA reservoir strain (LASr) (35.7% vs. 47.8%, p = 0.012). Compared to CON, INFAt at t1 had significantly higher RV FWS (-33.0% vs. -28.2%, p = 0.011), LASr (47.8% vs. 30.5%, p < 0.001) and LA contraction strain (-12.8% vs. -4.9%, p = 0.050) values.

CONCLUSIONS

In elite athletes, mild SARS-CoV-2 infection does not significantly impact LV function when compared to their pre-SARS-CoV-2 status and to healthy controls. However, subtle changes in RV and LA strain may indicate temporary or training-related adaptions. Further research is needed, particularly focusing on athletes with more severe infections or prolonged symptoms.

A mathematical model to assess the effects of COVID-19 on the cardiocirculatory system

Impaired cardiac function has been described as a frequent complication of COVID-19-related pneumonia. To investigate possible underlying mechanisms, we represented the cardiovascular system by means of a lumped-parameter 0D mathematical model. The model was calibrated using clinical data, recorded in 58 patients hospitalized for COVID-19-related pneumonia, to make it patient-specific and to compute model outputs of clinical interest related to the cardiocirculatory system. We assessed, for each patient with a successful calibration, the statistical reliability of model outputs estimating the uncertainty intervals. Then, we performed a statistical analysis to compare healthy ranges and mean values (over patients) of reliable model outputs to determine which were significantly altered in COVID-19-related pneumonia. Our results showed significant increases in right ventricular systolic pressure, diastolic and mean pulmonary arterial pressure, and capillary wedge pressure. Instead, physical quantities related to the systemic circulation were not significantly altered. Remarkably, statistical analyses made on raw clinical data, without the support of a mathematical model, were unable to detect the effects of COVID-19-related pneumonia in pulmonary circulation, thus suggesting that the use of a calibrated 0D mathematical model to describe the cardiocirculatory system is an effective tool to investigate the impairments of the cardiocirculatory system associated with COVID-19.

Effect of volume infusion on left atrial strain in acute circulatory failure

BACKGROUND

Left atrial strain (LAS) is a measure of atrial wall deformation during cardiac cycle and reflects atrial contribution to cardiovascular performance. Pathophysiological significance of LAS in critically ill patients with hemodynamic instability has never been explored. This study aimed at describing LAS and its variation during volume expansion and to assess the relationship between LAS components and fluid responsiveness.

METHODS

This prospective observational study was performed in a French ICU and included patients with acute circulatory failure, for whom the treating physician decided to proceed to volume expansion (rapid infusion of 500 mL of crystalloid solution). Trans-thoracic echocardiography was performed before and after the fluid infusion. LAS analysis was performed offline. Fluid responsiveness was defined as an increase in velocity-time integral (VTI) of left ventricular outflow tract ≥ 10%.

RESULTS

Thirty-eight patients were included in the final analysis. Seventeen (45%) patients were fluid responders. LAS analysis had a good feasibility and reproducibility. Overall, LAS was markedly reduced in all its components, with values of 19 [15 - 32], -9 [-19 - -7] and - 9 [-13 - -5] % for LAS reservoir (LASr), conduit (LAScd) and contraction (LASct), respectively. LASr, LAScd and LASct significantly increased during volume expansion in the entire population. Baseline value of LAS did not predict fluid responsiveness and the changes in LAS and VTI during volume expansion were not significantly correlated.

CONCLUSIONS

LAS is severely altered during acute circulatory failure. LAS components significantly increase during fluid administration, but cannot be used to predict or assess fluid responsiveness.

Left atrial strain analysis and new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction: A prospective echocardiography study

BACKGROUND

New-onset atrial fibrillation (NOAF) is a well-known complication of ST-segment elevation myocardial infarction (STEMI), probably due to left atrial (LA) remodelling. LA strain (LAS) can predict NOAF in several cardiovascular diseases.

OBJECTIVE

To assess whether LAS predicts NOAF in sinus rhythm patients with STEMI during hospitalization.

METHODS

Adults with a STEMI and transthoracic echocardiography performed within 48hours of admission were included. LAS analysis, performed by automated software, recorded LAS during the reservoir phase (LASr), the conduit phase (LAScd) and the contraction phase (LASct).

RESULTS

From May 2021 to November 2022, 175 patients were included, 21 (12%) of whom developed NOAF. NOAF patients were older (median [Q1-Q3]: 67 [59-80] vs 59 [51-67]years; P=0.006) and had a higher Thrombolysis In Myocardial Infarction scores (4 [2-7] vs 3 [1-4]; P=0.005). All LAS parameters were significantly impaired in NOAF patients, especially LASr (13.0% [10.5-28.4] vs 36.6% [29.0-44.9]; P=0.001). An LASr cut-off of 27% had a sensitivity of 81% and a specificity of 80% to identify patients with NOAF. In a multivariable model, LASr was significantly associated with NOAF (odds ratio 1.18, 95% confidence interval 1.09-1.26; P=0.003). The cumulative risk of NOAF during hospital stay was 30% (18-43 with LASr<27% and 4% [1.5-8.5] with LASr≥27% [P<0.0001]).

CONCLUSION

NOAF is a frequent complication of STEMI. LASr seems helpful for identifying patients at high risk of NOAF during hospitalization.

Unmasking Pandemic Echoes: An In-Depth Review of Long COVID's Unabated Cardiovascular Consequences beyond 2020

At the beginning of 2020, coronavirus disease 2019 (COVID-19) emerged as a new pandemic, leading to a worldwide health crisis and overwhelming healthcare systems due to high numbers of hospital admissions, insufficient resources, and a lack of standardized therapeutic protocols. Multiple genetic variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been detected since its first public declaration in 2020, some of them being considered variants of concern (VOCs) corresponding to several pandemic waves. Nevertheless, a growing number of COVID-19 patients are continuously discharged from hospitals, remaining symptomatic even months after their first episode of COVID-19 infection. Long COVID-19 or 'post-acute COVID-19 syndrome' emerged as the new pandemic, being characterized by a high variability of clinical manifestations ranging from cardiorespiratory and neurological symptoms such as chest pain, exertional dyspnoea or cognitive disturbance to psychological disturbances, e.g., depression, anxiety or sleep disturbance with a crucial impact on patients' quality of life. Moreover, Long COVID is viewed as a new cardiovascular risk factor capable of modifying the trajectory of current and future cardiovascular diseases, altering the patients' prognosis. Therefore, in this review we address the current definitions of Long COVID and its pathophysiology, with a focus on cardiovascular manifestations. Furthermore, we aim to review the mechanisms of acute and chronic cardiac injury and the variety of cardiovascular sequelae observed in recovered COVID-19 patients, in addition to the potential role of Long COVID clinics in the medical management of this new condition. We will further address the role of future research for a better understanding of the actual impact of Long COVID and future therapeutic directions.

Paradoxical increase in left atrial strains early after Covid-19 infection, a result of comprehensive recovery phase four-chamber strains study

Cardiac consequences of Covid-19 infection have been mentioned in various studies as a serious risk factor for in-hospital mortality. However, the existence of residual cardiac dysfunction after the acute phase is seldom investigated especially in people without a history of specific medical disease. One hundred health care workers with positive reverse transcription-polymerase chain reaction test underwent comprehensive 2D and 3D echocardiography six to eight weeks after infection. Patients were classified into Mild, Moderate, and Severe groups based on their clinical characteristics of covid-19 infection, and all echocardiographic parameters were compared between the three groups. Left ventricular (LV) stroke volume index was reduced in all groups compared to normal ranges and was more prominent in the severe group (P-value < 0.05). 3D-derived LV global longitudinal strain (GLS) was significantly lower in the severe group in comparison to the mild group (- 19.3 ± 1 Vs. - 22.2 ± 2, P-value < 0.001) and correlated with highly sensitive CRP level at the acute phase. Left atrial (LA) strains, including LA peak strain, LA contraction strain, and LA reservoir strain, were considerably higher and LA volume index was significantly lower in the clinically severe covid patients. Analysis based on the extent of lung involvement showed significantly increased 3D-derived right ventricular volumes in patients who experienced severe pneumonia despite normalized strains. Conclusion: subclinical LV dysfunction as reduced stroke volume index and GLS exists in the early recovery phase of normal individuals with severe course of covid-19. LA function indicated by LA strains paradoxically increases in severe covid-19 infection in this phase.

Functional outcomes in post Covid-19 patients with persistent dyspnea: multidisciplinary approach

BACKGROUND

Post-acute sequelae of SARS-CoV-2 (PASC) have emerged as a major health issue in patients who have previously been infected with Covid-19 virus.

PURPOSE

we aimed at the assessment of functional outcomes in post Covid-19 patients with persistent dyspnea using a multidisciplinary approach including clinical assessment, laboratory investigations, exercise ECG, and different echo-Doppler modalities, including left atrial functions.

METHODS

The current observational randomized controlled study conducted on 60- patients one month after recovery from Covid-19 infection presented with persistent dyspnea compared to 30 healthy volunteers. All participants were subjected to evaluation of dyspnea by different scores, laboratory investigations, stress ECG, and echo-Doppler examination to measure LV dimensions, volumes, systolic and diastolic functions by M-mode, 2D, and tissue Doppler imaging in addition to 2-D speckle tacking LA strain.

RESULTS

Post Covid-19 patients had persistent elevation of inflammatory markers, low functional capacity (evidenced by a higher NYHA class, m MRC score, PCFS scale) and decreased METs by stress ECG compared to control group. Post Covid-19 patients showed LV diastolic dysfunction and impairment of 2D-STE LA functions compared to control group. We found negative correlations between LA strain with NYHA class, mMRC scale, LAVI, ESR and CRP; meanwhile, there were significant positive correlations between LA strain with exercise duration and METs.

CONCLUSION

post Covid patients presented with persistent dyspnea demonstrated low functional capacity evidenced by different scores and stress ECG. Moreover, patients with post Covid syndrome showed elevated inflammatory biomarkers, LV diastolic dysfunction in addition to impaired LA strain functions. Impairment of LA strain was closely correlated to different functional scores, inflammatory biomarkers, exercise duration, and METs suggesting that these could to be the possible etiologies for the persistence of post Covid symptoms.

Left atrial longitudinal strain analysis in long Covid-19 syndrome

It is known that during the active course of Coronavirus disease 2019 (COVID-19), myocardial injury has an established pathological base, while its myocardial injury post-recovery is still obscured.The aim of this study was to evaluate the longitudinal left atrial strain (LAS) using speckle tracking echocardiography (STE) in COVID-19-recovered patients who are previously healthy without confounder comorbidities to detect the potential cardiac dysfunction.200 patients were prospectively included and examined 4?12 weeks after recovery from COVID-19 infection. 137 participants with comorbidities or previous history of cardiopulmonary disease were excluded from the analysis. A total of 63 patients who fulfilled our inclusion criteria were recruited into two groups according to thepresence or absence of persistent dyspnoea and exercise intolerance. Clinical, laboratory & comprehensive echocardiographic examinations were done for all. We observed that 31.7% of the previously healthy individuals developed dyspnoea & exercise intolerance post-COVID-19 infection. There were significantly impaired LAS parameters in the symptomatic group (LA reservoir, contraction & conduit strain, 22.7%, -6.6% & -16.1% versus 40%, -12%, and ? 27% in the asymptomatic group with P < 0.000). Only LA reservoir strain and LA stiffness can independently predict the development of dyspnoea & exercise intolerance post-COVID-19 at cut-off values of 30% & 24.5% respectively with a sensitivity of 90% and a specificity of 91%, P < 0.001. These impaired LAS parameters could explain the developed symptoms post-COVID-19 recovery, even before disturbed conventional diastolic echocardiographic parameters.LAS parameters are significantly associated with the developed exertional dyspnoea & exercise intolerance post-COVID-19. LA reservoir strain & LA stiffness could provide a simple, easily available tool that points to early LV diastolic dysfunction and may direct the therapy in this subset of the population.

Predisposing factors for admission to intensive care units of patients with COVID-19 infection-Results of the German nationwide inpatient sample

Background

Intensive care units (ICU) capacities are one of the most critical determinants in health-care management of the COVID-19 pandemic. Therefore, we aimed to analyze the ICU-admission and case-fatality rate as well as characteristics and outcomes of patient admitted to ICU in order to identify predictors and associated conditions for worsening and case-fatality in this critical ill patient-group.

Methods

We used the German nationwide inpatient sample to analyze all hospitalized patients with confirmed COVID-19 diagnosis in Germany between January and December 2020. All hospitalized patients with confirmed COVID-19 infection during the year 2020 were included in the present study and were stratified according ICU-admission.

Results

Overall, 176,137 hospitalizations of patients with COVID-19-infection (52.3% males; 53.6% aged ≥70 years) were reported in Germany during 2020. Among them, 27,053 (15.4%) were treated in ICU. COVID-19-patients treated on ICU were younger [70.0 (interquartile range (IQR) 59.0-79.0) vs. 72.0 (IQR 55.0-82.0) years, P < 0.001], more often males (66.3 vs. 48.8%, P < 0.001), had more frequently cardiovascular diseases (CVD) and cardiovascular risk-factors with increased in-hospital case-fatality (38.4 vs. 14.2%, P < 0.001). ICU-admission was independently associated with in-hospital death [OR 5.49 (95% CI 5.30-5.68), P < 0.001]. Male sex [OR 1.96 (95% CI 1.90-2.01), P < 0.001], obesity [OR 2.20 (95% CI 2.10-2.31), P < 0.001], diabetes mellitus [OR 1.48 (95% CI 1.44-1.53), P < 0.001], atrial fibrillation/flutter [OR 1.57 (95% CI 1.51-1.62), P < 0.001], and heart failure [OR 1.72 (95% CI 1.66-1.78), P < 0.001] were independently associated with ICU-admission.

Conclusion

During 2020, 15.4% of the hospitalized COVID-19-patients were treated on ICUs with high case-fatality. Male sex, CVD and cardiovascular risk-factors were independent risk-factors for ICU admission.

2D speckle-tracking echocardiography as a prognostic imaging modality for COVID-19 adverse outcomes

2D speckle-tracking echocardiography (2D-STE) has been used to assess cardiac recovery during the COVID-19 patient follow-ups within the pandemic. The novel role of STE in predicting adverse outcomes of COVID-19 has received attention due to its high sensitivity in identifying subclinical myocardial dysfunction. We reviewed the studies on using 2D-STE to assess COVID-19 prognosis. A literature search was conducted on PubMed and Scopus for eligible articles, 24 of which discussed using prognostic 2D-STE for COVID-19 patients. 2D-STE predicts cardiovascular impairments more rapidly and precisely than conventional echocardiography. The 2D-STE technique presents an independent prognostic factor in COVID-19 infection. 2D-STE could be considered a time-efficient and accurate risk predictor of all-cause mortality in COVID-19 patients.

Development and validation of a predictive model for new-onset atrial fibrillation in sepsis based on clinical risk factors

Objective

New-onset atrial fibrillation (NOAF) is a common complication and one of the primary causes of increased mortality in critically ill adults. Since early assessment of the risk of developing NOAF is difficult, it is critical to establish predictive tools to identify the risk of NOAF.

Methods

We retrospectively enrolled 1,568 septic patients treated at Wuhan Union Hospital (Wuhan, China) as a training cohort. For external validation of the model, 924 patients with sepsis were recruited as a validation cohort at the First Affiliated Hospital of Xinjiang Medical University (Urumqi, China). Least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression analyses were used to screen predictors. The area under the ROC curve (AUC), calibration curve, and decision curve were used to assess the value of the predictive model in NOAF.

Results

A total of 2,492 patients with sepsis (1,592 (63.88%) male; mean [SD] age, 59.47 [16.42] years) were enrolled in this study. Age (OR: 1.022, 1.009–1.035), international normalized ratio (OR: 1.837, 1.270–2.656), fibrinogen (OR: 1.535, 1.232–1.914), C-reaction protein (OR: 1.011, 1.008–1.014), sequential organ failure assessment score (OR: 1.306, 1.247–1.368), congestive heart failure (OR: 1.714, 1.126–2.608), and dopamine use (OR: 1.876, 1.227–2.874) were used as risk variables to develop the nomogram model. The AUCs of the nomogram model were 0.861 (95% CI, 0.830–0.892) and 0.845 (95% CI, 0.804–0.886) in the internal and external validation, respectively. The clinical prediction model showed excellent calibration and higher net clinical benefit. Moreover, the predictive performance of the model correlated with the severity of sepsis, with higher predictive performance for patients in septic shock than for other patients.

Conclusion

The nomogram model can be used as a reliable and simple predictive tool for the early identification of NOAF in patients with sepsis, which will provide practical information for individualized treatment decisions.

The Added Value of Atrial Strain Assessment in Clinical Practice

Speckle tracking echocardiography has emerged as a sensitive tool to analyze myocardial function with improved diagnostic accuracy and prognostic value. Left atrial strain assessment has become a novel imaging method in cardiology with superior prognostic value compared to conventional left atrial volume indices. Left atrial function is divided into three phases, reservoir function being the most important. This review summarizes the added value of speckle tracking echocardiography derived left atrial strain assessment in clinical practice. Recently published data suggest the prognostic value of left atrial reservoir function in heart failure, atrial fibrillation, stroke and valvular heart disease. Furthermore, left atrial reservoir strain proved to be a predictor of cardiovascular morbidity and mortality in the general population. Thus, routine assessment of left atrial function can be an optimal strategy to improve cardiovascular risk prediction and supplement the current risk prediction models.