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Aims: This study investigated left atrial (LA) parameters as measured on transthoracic echocardiography as predictors of incident heart failure (HF) in a community cohort. Methods and results: In a large general population study (n = 2221), participants underwent a health examination with echocardiography. The maximum and minimum LA volumes indexed to body surface area (LAVImax and LAVImin) were measured and the LA emptying fraction (LAEF) and LA expansion index (LAEI) were calculated. Among 1951 participants without atrial fibrillation or significant valve disease, the mean age was 59 ± 16 years and 58% were women. At baseline, 1% (n = 16) had a left ventricular ejection fraction of <50%, 44% had hypertension, and 10% had diabetes. During follow‐up (median 15.8 years, interquartile range: 11.3–16.2 years), 187 (10%) participants were diagnosed with incident HF. Participants who were diagnosed with HF during follow‐up had a larger LAVImax and LAVImin and a lower LAEF and LAEI compared to participants without HF. In unadjusted analysis, LAVImax, LAVImin, LAEF and LAEI were predictors of incident HF. After multivariable adjustment for clinical and echocardiographic parameters, only LAVImin remained an independent predictor of incident HF (hazard ratio per 1 standard deviation increase: 1.22 [95% confidence interval 1.01–1.47], p = 0.038). Conclusion: In the general population, LAVImin is an independent predictor of incident HF. LAVImax, currently the only LA measure in a routine echocardiographic examination, was not an independent predictor of incident HF. [ABSTRACT FROM AUTHOR]

Purpose: Right ventricular (RV) dysfunction is associated with poor outcome in patients with heart failure. In order to better predict mortality in this patient group we wanted to compare the prognostic value of conventional and advanced RV echocardiographic measures.Methods: Echocardiographic examinations were retrieved from 701 patients. End point was all-cause mortality and follow-up 100%. RV parameters were measured offline in accordance with current guidelines. Speckle tracking was derived using the algorithm originally designed for the left ventricle.Results: During follow-up (median: 39 months) 118 patients (16.8%) died. RV global longitudinal strain (GLS) and RV free wall strain (FWS) remained associated with mortality after multivariable adjustment independent of Tricuspid annular plane systolic excursion (TAPSE) (RV GLS: HR 1.07, 95%CI 1.02-1.13, p = 0.010, per 1% decrease) (RV FWS: HR 1.05, 95%CI 1.01-1.09, p = 0.010, per 1% decrease). This seemed to be caused by significant associations in men. All RV estimates provided prognostic information incremental to established risk factors and significantly increased C-statistics.Conclusions: RV GLS and FWS were associated with mortality in HFrEF patients after multivariable adjustment independent of TAPSE. TAPSE, however, remained as the strongest prognosticator in women. More research is needed to identify whether speckle tracking could be superior to conventional RV measures in identifying HFrEF patients with poor outcome. [ABSTRACT FROM AUTHOR]

Aims: The degree of cardiovascular sequelae following COVID‐19 remains unknown. The aim of this study was to investigate whether cardiac function recovers following COVID‐19. Methods and results: A consecutive sample of patients hospitalized with COVID‐19 was prospectively included in this longitudinal study. All patients underwent an echocardiographic examination during hospitalization and 2 months later. All participants were successfully matched 1:1 with COVID‐19‐free controls by age and sex. A total of 91 patients were included (mean age 63 ± 12 years, 59% male). A median of 77 days (interquartile range: 72–92) passed between the two examinations. Right ventricular (RV) function improved following resolution of COVID‐19: tricuspid annular plane systolic excursion (TAPSE) (2.28 ± 0.40 cm vs. 2.11 ± 0.38 cm, P < 0.001) and RV longitudinal strain (RVLS) (25.3 ± 5.5% vs. 19.9 ± 5.8%, P < 0.001). In contrast, left ventricular (LV) systolic function assessed by global longitudinal strain (GLS) did not significantly improve (17.4 ± 2.9% vs. 17.6 ± 3.3%, P = 0.6). N‐terminal pro‐B‐type natriuretic peptide decreased between the two examinations [177.6 (80.3–408.0) ng/L vs. 11.7 (5.7–24.0) ng/L, P < 0.001]. None of the participants had elevated troponins at follow‐up compared to 18 (27.7%) during hospitalization. Recovered COVID‐19 patients had significantly lower GLS (17.4 ± 2.9% vs. 18.8 ± 2.9%, P < 0.001 and adjusted P = 0.004), TAPSE (2.28 ± 0.40 cm vs. 2.67 ± 0.44 cm, P < 0.001 and adjusted P < 0.001), and RVLS (25.3 ± 5.5% vs. 26.6 ± 5.8%, P = 0.50 and adjusted P < 0.001) compared to matched controls. Conclusion: Acute COVID‐19 affected negatively RV function and cardiac biomarkers but recovered following resolution of COVID‐19. In contrast, the observed reduced LV function during acute COVID‐19 did not improve post‐COVID‐19. Compared to the matched controls, both LV and RV function remained impaired. [ABSTRACT FROM AUTHOR]

Aims: Layer‐specific global longitudinal strain (GLS) has been demonstrated to predict outcome in various patient cohorts. However, little is known regarding the prognostic value of layer‐specific GLS in the general population and whether different layers entail differential prognostic information. The aim of the present study was to investigate the prognostic value of whole wall (GLSWW), endomyocardial (GLSEndo), and epimyocardial (GLSEpi) GLS in the general population. Methods and results: A total of 4013 citizens were included in the present study. All 4013 had two‐dimensional speckle tracking echocardiography performed and analysed. Outcome was a composite endpoint of incident heart failure and/or cardiovascular death. Mean age was 56 years and 57% were female. During a median follow‐up time of 3.5 years, 133 participants (3.3%) reached the composite outcome. Sex modified the relationship between all GLS parameters and outcome. In sex‐stratified analysis, no GLS parameter remained significant predictors of outcome in females. In contrast, GLSWW [hazard ratio (HR) 1.16, 95% confidence interval (CI) 1.02–1.31, per 1% decrease] and GLSEpi (HR 1.19, 95% CI 1.04–1.38, per 1% decrease) remained as significant predictors of outcome in males after multivariable adjustment (including demographic, clinical, biochemistry, and echocardiographic parameters). Lastly, only in males did GLS parameters provide incremental prognostic information to general population risk models. Conclusions: In the general population, sex modifies the prognostic value of GLS resulting in GLSEpi being the only layer‐specific prognosticator in males, while no GLS parameter provides independent prognostic information in females. [ABSTRACT FROM AUTHOR]

Aims: Colour tissue Doppler imaging (TDI) M‐mode through the mitral leaflet is an easy and precise method to obtain cardiac time intervals including isovolumic contraction time (IVCT), isovolumic relaxation time (IVRT) and systolic ejection time (SET). The myocardial performance index (MPI) is defined as [(IVCT + IVRT)/SET]. Whether cardiac time intervals obtained by the TDI M‐mode method can be used to predict outcome in patients with heart failure with reduced ejection fraction (HFrEF) remains unknown. Methods and results: A total of 997 patients with HFrEF (mean age 67 ± 11 years, 74% male) underwent an echocardiographic examination including TDI. During a median follow‐up of 3.4 years (interquartile range 1.9–4.8 years), 165 (17%) patients died. The risk of mortality increased by 9% per 10 ms decrease in SET [per 10 ms decrease: hazard ratio (HR) 1.09, 95% confidence interval (CI) 1.06–1.13; P < 0.001]. The association remained significant even after multivariable adjustment for clinical and echocardiographic parameters (per 10 ms decrease: HR 1.06, 95% CI 1.01–1.11; P = 0.030). The MPI was a significant predictor in an unadjusted model (per 0.1 increase: HR 3.06, 95% CI 1.16–8.06; P = 0.023). However, the association did not remain significant after multivariable adjustment. No significant associations between IVCT or IVRT and mortality were found in unadjusted nor adjusted models. Additionally, SET provided incremental prognostic information with regard to predicting mortality when added to established clinical predictors of mortality in patients with HFrEF. Conclusion: In patients with HFrEF, SET provides independent and incremental prognostic information regarding all‐cause mortality. [ABSTRACT FROM AUTHOR]

Aims: The present study had two aims: (i) compare echocardiographic parameters in COVID‐19 patients with matched controls and (2) assess the prognostic value of measures of left (LV) and right ventricular (RV) function in relation to COVID‐19 related death. Methods and results: In this prospective multicentre cohort study, 214 consecutive hospitalized COVID‐19 patients underwent an echocardiographic examination (by pre‐determined research protocol). All participants were successfully matched 1:1 with controls from the general population on age, sex, and hypertension. Mean age of the study sample was 69 years, and 55% were male participants. LV and RV systolic function was significantly reduced in COVID‐19 cases as assessed by global longitudinal strain (GLS) (16.4% ± 4.3 vs. 18.5% ± 3.0, P < 0.001), tricuspid annular plane systolic excursion (TAPSE) (2.0 ± 0.4 vs. 2.6 ± 0.5, P < 0.001), and RV strain (19.8 ± 5.9 vs. 24.2 ± 6.5, P = 0.004). All parameters remained significantly reduced after adjusting for important cardiac risk factors. During follow‐up (median: 40 days), 25 COVID‐19 cases died. In multivariable Cox regression reduced TAPSE [hazard ratio (HR) = 1.18, 95% confidence interval (CI) [1.07–1.31], P = 0.002, per 1 mm decrease], RV strain (HR = 1.64, 95%CI[1.02;2.66], P = 0.043, per 1% decrease) and GLS (HR = 1.20, 95%CI[1.07–1.35], P = 0.002, per 1% decrease) were significantly associated with COVID‐19‐related death. TAPSE and GLS remained significantly associated with the outcome after restricting the analysis to patients without prevalent heart disease. Conclusions: RV and LV function are significantly impaired in hospitalized COVID‐19 patients compared with matched controls. Furthermore, reduced TAPSE and GLS are independently associated with COVID‐19‐related death. [ABSTRACT FROM AUTHOR]

Aims: We hypothesized that grading of diastolic dysfunction (DDF) according to two DDF grading algorithms and strain imaging yields prognostic information on all‐cause mortality in patients with heart failure with reduced ejection fraction (HFrEF). Methods and results: We enrolled ambulatory HFrEF (left ventricular ejection fraction < 45%; N = 1 065) patients who underwent echocardiography and speckle tracking assessment of global longitudinal strain (GLS). Patients were stratified according to DDF grades (Grades I–III) according to two contemporary DDF grading algorithms. Prognostic performance was assessed by C‐statistics. Of the originally 1 065 enrolled patients, a total of 645 (61%) patients (age: 67 ± 11 years, male: 72%, ejection fraction: 27 ± 9%) were classified according to both DDF grading algorithms. Concordance between the algorithms was moderate (kappa = 0.48) and the reclassification rate was 33%. During a median follow‐up of 3.3 years (1.9, 4.7 years), 101 (16%) died from all causes. When comparing DDF Grade I vs. Grade III, both algorithms provided prognostic information [Nagueh: (hazard ratio) HR 2.09, 95% confidence interval (CI),1.32–3.31, P = 0.002; Johansen: HR 2.47, 95% CI, 1.57–3.87, P < 0.001]. However, when comparing DDF Grade II vs. Grade III, only the Johansen algorithm yielded prognostic information (Nagueh: HR 1.04, 95% CI, 0.60–1.77, P = 0.90; Johansen: HR 2.26, 95% CI, 1.35–3.77, P = 0.002). We found no difference in prognostic performance between the two algorithms (C‐statistics: 0.604 vs. 0.623, P = 0.24). Assessed by C‐statistics, the most powerful predictors of the endpoint from the two algorithms were E/e'‐ratio (C‐statistics: 0.644), tricuspid regurgitation velocity (C‐statistics: 0.625) and E/A‐ratio (C‐statistics: 0.602). When adding GLS to a combination of these predictors, the prognostic performance increased significantly (C‐statistics: 0.705 vs. C‐statistics: 0.634, P = 0.028). Conclusions: Evaluation of DDF in patients with HFrEF yields prognostic information on all‐cause mortality. Furthermore, adding GLS to contemporary algorithms of DDF adds novel prognostic information. [ABSTRACT FROM AUTHOR]

Background COVID-19 infection has been hypothesized to affect left ventricular function; however, the underlying mechanisms and the association to clinical outcome are not understood. The global work index (GWI) is a novel echocardiographic measure of systolic function that may offer insights on cardiac dysfunction in COVID-19. We hypothesized that GWI was associated with disease severity and all-cause death in patients with COVID-19. Methods and Results In a multicenter study of patients admitted with COVID-19 (n=305), 249 underwent pressure-strain loop analyses to quantify GWI at a median time of 4 days after admission. We examined the association of GWI to cardiac biomarkers (troponin and NT-proBNP [N-terminal pro-B-type natriuretic peptide]), disease severity (oxygen requirement and CRP [C-reactive protein]), and all-cause death. Patients with elevated troponin (n=71) exhibited significantly reduced GWI (1508 versus 1707 mm Hg%; P =0.018). A curvilinear association to NT-proBNP was observed, with increasing NT-proBNP once GWI decreased below 1446 mm Hg%. Moreover, GWI was significantly associated with a higher oxygen requirement (relative increase of 6% per 100-mm Hg% decrease). No association was observed with CRP. Of the 249 patients, 37 died during follow-up (median, 58 days). In multivariable Cox regression, GWI was associated with all-cause death (hazard ratio, 1.08 [95% CI, 1.01-1.15], per 100-mm Hg% decrease), but did not increase C-statistics when added to clinical parameters. Conclusions In patients admitted with COVID-19, our findings indicate that NT-proBNP and troponin may be associated with lower GWI, whereas CRP is not. GWI was independently associated with all-cause death, but did not provide prognostic information beyond readily available clinical parameters. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT04377035.