Elizabeth Curtis's research while affiliated with Unité Inserm U1077 and other places

Background Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease. Cardiac involvement in SLE is rare but plays an important prognostic role. The degree of cardiac involvement according to SLE subsets defined by non-cardiac manifestations is unknown. The objective of this study was to identify differences in transthoracic echocardiography (TTE) parameters associated with different SLE subgroups. Methods One hundred eighty-one patients who fulfilled the 2019 American College of Rheumatology/EULAR classification criteria for SLE and underwent baseline TTE were included in this cross-sectional study. We defined four subsets of SLE based on the predominant clinical manifestations. A multivariate multinomial regression analysis was performed to determine whether TTE parameters differed between groups. Results Four clinical subsets were defined according to non-cardiac clinical manifestations: group A (n=37 patients) showed features of mixed connective tissue disease, group B (n=76 patients) had primarily cutaneous involvement, group C (n=18) exhibited prominent serositis and group D (n=50) had severe, multi-organ involvement, including notable renal disease. Forty TTE parameters were assessed between groups. Per multivariate multinomial regression analysis, there were statistically significant differences in early diastolic tricuspid annular velocity (RV-Ea, p<0.0001), RV S’ wave (p=0.0031) and RV end-diastolic diameter (p=0.0419) between the groups. Group B (primarily cutaneous involvement) had the lowest degree of RV dysfunction. Conclusion When defining clinical phenotypes of SLE based on organ involvement, we found four distinct subgroups which showed notable differences in RV function on TTE. Risk-stratifying patients by clinical phenotype could help better tailor cardiac follow-up in this population.

Introduction Aortic stenosis (AS) is causing myocardial damages and replacement is mainly indicated based on symptoms. Non-invasive estimation of myocardial work (MW) provide a less afterload dependent tool that, we sought to look at the impact of transcatheter aortic valve implantation (TAVI) on the myocardium at long-term follow-up and according to current indications. Methods We conducted an observational, cross-sectional, single-center study. Patients were selected based on the validated indication for a TAVI. Standardized echocardiographies were repeated. Results 102 patients were included. Mean age was 85-year-old, 45% were female, 68% get high-blood pressure and 52% had a coronary disease. One fifth was suffering from low-flow low-gradient aortic stenosis. Follow-up was performed at 22 ± 9.5 months after the TAVI. No TAVI-dysfunction was observed. LVEF was stable (62 ± 8%), and global longitudinal strain get improved (-14.0% ± 3.7 vs -16.0% ± 3.6, p-value <0.0001). No improvement of the MW-parameters was noticed (Global Work Index (LV GWI) 2099 ± 692mmHg% vs 2066 ± 706mmHg%, p=0.8, Global Constructive (LV GCW) 2463 ± 736mmHg% vs 2463 ± 676mmHg%, p=0.8). Global Wasted Work increased (214 [149; 357] mmHg% vs 247 [177; 394] mmHg%, p= 0.0008). Conclusion In a population of severe symptomatic AS-patients who had undergone a TAVI, the non-invasive myocardial indices that assess the LV performance at long term follow-up did not improve. These results are questioning the timing of the intervention and the need for a more attention in the pharmacological management of these AS-patients.

Aims Patients presenting symptoms of heart failure with preserved ejection fraction (HFpEF) are not a homogenous population. Different phenotypes can differ in prognosis and optimal management strategies. We sought to identify phenotypes of HFpEF by using the medical information database from a large university hospital centre using machine learning. Methods and results We explored the use of clinical variables from electronic health records in addition to echocardiography to identify different phenotypes of patients with HFpEF. The proposed methodology identifies four phenotypic clusters based on both clinical and echocardiographic characteristics, which have differing prognoses (death and cardiovascular hospitalization). Conclusion This work demonstrated that artificial intelligence–derived phenotypes could be used as a tool for physicians to assess risk and to target therapies that may improve outcomes.

Background Wild-type transthyretin amyloid cardiomyopathy (ATTR-CM) is an increasingly recognized condition. It remains challenging to estimate the extent of disease and the prognosis for most patients. Myocardial work is a sensitive echocardiographic approach that improves the characterization of myocardial damage. Objective We sought to investigate myocardial work parameters in ATTR-CM patients and it changes over time. Method We analyzed clinical, electrocardiographic, biological, and echocardiographic characteristics in 113 consecutive patients (median age 82 [77-85], 90.4% male) diagnosed with wild-type ATTR-CM based on international consensus at a single centre. Baseline and follow up data at 18-month were assessed. Results Thirty-four patients died and twelve were hospitalized for heart failure at a median follow-up of 935 days (IQR 691-1159 days). Left ventricular end-diastolic diameter, left atrial strain during reservoir phase (LASr), left ventricular longitudinal strain, Global Work Index (GWI), Global Constructive Work, and TAPSE significantly decreased from baseline to 18 months while wall thickness increased. Left ventricular Ejection Fraction (LVEF), Right Ventricular Free Wall Strain, Global Wasted Work (GWW) and Global Work Efficiency (GWE) did not alter significantly. Using a multivariate analysis, strain parameters were identified as prognostic on baseline evaluation: GWW and RV-free wall-Strain (FWS) especially. They were significantly associated with the risk of death and hospitalization for heart failure. Conclusion Myocardial Work parameters, particularly GWW, were valuable predictors for outcome in ATTR-CM patients.

Background Left ventricular end‐systolic diameter (LVESD) and ejection fraction (LVEF) are the parameters to look for when discussing repair in asymptomatic patients with a primary mitral regurgitation (PMR). Loading conditions are altering LV‐function quantification. LV‐myocardial work (LVMW) is a method based on pressure‐strain loops. Hypothesis We sought to evaluate the additive value of the LVMW for predicting clinical events in patients with PMR. Methods 103 patients (66% men, median age 57 years) with asymptomatic severe PMR were explored at rest and during an exercise stress echocardiography. LV myocardial global work index (GWI), constructive work (GCW), wasted work (GWW), and work efficiency (GWE) were measured with speckle‐tracking echocardiography at rest and low workload. The indication for surgery was based on the heart teams' decision. The median follow‐up was 670 days. Results Clinical events occurred for 50 patients (48.5%) with a median of event‐free survival distribution of 289 days. Systolic pulmonary artery pressure (sPAP) at rest was 32.61 ± 8.56 mmHg and did not predict the risk of event like LVEF and LVESD. Changes in, GLS (hazard ratio [HR] 0.55; 95% confidence interval (Cl): 0.36–0.83; p = .005), GWI (HR 1.01; 95% Cl: 1.00–1.02; p = .002) and GCW (HR 1.85; 95% Cl: 1.28–2.68; p = .001) in addition to Left Atrial Volume Index (HR 1.73; 95% CI: 1.28 – 2.33; p < 0,001) were independent predictors of events. Conclusion Changes in myocardial work indices related to low‐dose exercise are relevant to best predict PMR patient prognosis It might help to better select patient's candidate for “early‐surgery.”

Background Right heart function is challenging to assess with echocardiography due to the complex anatomy and load dependence. To complicate the assessment, significant tricuspid regurgitation flatters the right ventricle. These complexities have led to the need for other modalities and invasive measures of RV function to complement clinical decision-making and risk profiling. Speckle tracking can assess subtle anomalies and appears to be promising for right heart assessment. We assessed right heart strain against classic echocardiographic measures of RV function (TAPSE, RVS’ and fractional area change (FAC)) and invasive measures of RV function (right ventricular stroke work index (RVSWI) and Pulmonary Artery Pulsatility index (PAPi)), in patients with severe TR and without, to see strain reclassifies the assessment of RV function from "normal" to impaired and to assess the prognostic value of right heart strain. Methods A single-centre retrospective analysis of data from 262 consecutive patients (age 74 ±11.2 years old; male 53%) with both right heart catheterization (RHC) and TTE. Clinical data was gathered from patient files, and outcomes of heart failure hospitalisation or death were recorded. Echocardiographic evaluation was completed on commercially available GE ultrasounds and data was stored on a dedicated workstation for offline analysis (EchoPAC version 112.99). Statistical analysis was performed using SAS 15.1. Results Over a median follow up of 34 ±15 months 99 events occurred. 53% of patients had severe TR. RV free wall strain reclassified RV function as impaired in 73% of patients with "normal" RV function as determined by FAC (p value 0.005), and in 71% of patients with normal RVS’ (p value 0.03) with severe TR. Using invasive measures, RVSWI reclassified RV function as abnormal when compared to TAPSE in 53% of patients (p value 0.02). PAPi reclassified RV function as impaired compared to TAPSE in 53% of patients (p value of 0.009). In patients with TR 3+, right atrial strain reclassified presence of right heart dysfunction in 91% of patients compared to TAPSE >17 (p value 0.01) and in 95% of patients compared to RVS’ (p value 0.004). In patients with moderate or less TR, RV strain reclassified 66% as having RV dysfunction with normal FAC (p value 0.003) and reclassified 61% of patients with RV dysfunction in patients with a normal RVS (p value 0.03). Invasive measures did not reclassify RV function assessment in patients with moderate or less TR. In patients with and without TR, RV strain and invasive measures were in accordance. Abnormal RV strain (>-23%) was associated with an adverse prognosis HR 3.63 (1.43 – 9.22). Conclusion In the presence of severe TR, right heart strain helps to reclassify RV function, comparable to invasive measures. Abnormal right heart strain is strongly associated with prognosis and its utility should be confirmed in prospective studies.

Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): The New Zealand Heart Foundation Background Right ventricular (RV) characteristics are extremely important for heart failure patients and especially in patients with a tricuspid regurgitation. Right heart catheterism is advocated by guidelines. Echocardiography alone is challenging due to complexity of the right heart but retains promise. Speckle tracking allows the detection of subtle changes that may be missed by the naked eye and other quantitative methods. We sought to assess the utility of RV strain (free wall) to assess prognosis and build a multivariate prediction model based on clinical, echocardiographic and hemodynamic data. Methods A single-centre retrospective analysis of data from 225 consecutive patients (age 72 ±11.6 years old; male 56%) with both right heart Catheterization (RHC) and TTE. Data regarding unplanned heart failure hospitalisations and date of death were recorded. The echocardiograms were read at the corelab. The association between RV strain (free wall) and prespecified echo and haemodynamic measures of right and left heart function and prognosis defined by heart failure hospitalisations and death was recorded. A multivariate predictor model was computed using SAS 15.1 Results Over a median follow up of 28±16 months, there were 59 events. Main data are summarized in table I. Abnormal RV strain was independently associated with prognosis HR 3.63 (1.43 – 9.22). This was the must echo-parameters. The other key parameters were: creatinine clearance HR 0.88 (0.79 – 0.98), TAPSE HR 0.73 (0.57 – 0.93], RA area HR 1.44 (1.19 – 1.75), RA pressure HR 1.65 (1.34 – 2.04) and mean pulmonary artery pressure HR 1.39 (1.08 – 1.78). Conclusions RV strain is a strong "predicator" and appears to perform better than traditional echocardiographic measurements. Prospective studies would support the impact of RV strain especially in patients with heart failure and tricuspid regurgitation.

Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): CHU de Rennes Aims Patients presenting heart failure (HF) symptoms with preserved left ventricular ejection fraction (HFpEF) are not a homogenous population. Different phenotypes can differ in prognosis and optimal management strategies. We sought to identify phenotypes of HFpEF by using the medical information database from a large University Hospital Center using machine learning. Methods and results We explored the use of clinical variables from electronic health records (EHR) in addition to echocardiography to identify different phenotypes of patients with heart failure and preserved ejection fraction. The proposed methodology identifies 4 phenotypic clusters based on both clinical and echocardiographic characteristics which have differing prognoses (death and cardio-vascular hospitalization). Conclusion This work demonstrated that AI derived phenotypes could be used as a tool for physicians to assess risk and to target therapies that may improve outcomes.

Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): New Zealand National Heart Foundation Background The role of speckle tracking echocardiography has been expanding thanks to its utility in detecting subtle changes in cardiac function, and has prognostic value(1). Right atrial (RA) strain has shown promise in prognostication amongst patients with pulmonary hypertension and heart failure. It is associated with RA size, RV function and IVC size. However, its clinical utility and application remain under investigation (2–5). We sought to evaluate the associations of right atrial strain with both invasive and non-invasive measure of RV function and the association of RA strain with heart failure hospitalisations and death across a heterogeneous cohort. Methods A single-centre retrospective analysis of data from 225 consecutive patients (age 72 ±11.6 years old; male 56%) with both right heart catheterization (RHC) and TTE. Data regarding unplanned heart failure hospitalisations and date of death were recorded. Statistical analysis was performed using SAS 15.1 to assess the association between right atrial strain and prespecified echo and haemodynamic measures of right and left heart function and prognosis defined by heart failure hospitalisations and death. Results Over a median follow up of 28±16 months, there were 59 events. RA strain was associated with the following non-invasive and invasive measures of right heart function and left heart systolic function : TAPSE; RA size, RA pressure, RV strain, PAPi, RVSWI, RV FAC, LAVi, RV PA coupling (TAPSE/systolic PAP), LVEF, cardiac index, diastolic function (E/e’) with a p value of <0.05. Increasing atrial size was associated with lower values of R strain. Despite the association of impaired RV strain with prognosis, HR 2.94 (1.14 – 7.60), RA strain did not appear to be associated independently with prognosis HR 0.98 (0.95–1.0) P value = 0.0676. Conclusions Right atrial strain is independently associated with both invasive and non-invasive measures of RV function and may be a useful tool to help us assess right heart function. It did not appear to be associated with prognosis despite being independently linked with RV strain, which was strongly associated with prognosis in our cohort.