Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.

Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based GLS might overcome these challenges. Our aims are to explore the agreements between AI-based GLS and conventional GLS, and to assess whether the agreements were influenced by expertise levels, cardiac remodeling and cardiovascular diseases/risks. Echocardiographic images in the apical four-chamber view of left ventricle were retrospectively analyzed based on AI-based GLS in patients treated with chemotherapy, and correlation between AI-based GLS (Caas Qardia, Pie Medical Imaging) and conventional GLS (Vivid E9/VividE95, GE Healthcare) were assessed. The agreement between unexperienced physicians ("GLS beginner") and experienced echocardiographer were also assessed. Among 94 patients (mean age 69 ± 12 years, 73% female), mean left ventricular ejection fraction was 64 ± 6%, 14% of patients had left ventricular hypertrophy, and 21% had left atrial enlargement. Mean GLS was - 15.9 ± 3.4% and - 19.0 ± 3.7% for the AI and conventional method, respectively. There was a moderate correlation between these methods (rho = 0.74; p < 0.01), and bias was - 3.1% (95% limits of agreement: -8.1 to 2.0). The reproducibility between GLS beginner and an experienced echocardiographer was numerically better in the AI method than the conventional method (inter-observer agreement = 0.82 vs. 0.68). The agreements were consistent across abnormal cardiac structure and function categories (p-for-interaction > 0.10). In patients treated with chemotherapy. AI-based GLS was moderately correlated with conventional GLS and provided a numerically better reproducibility compared with conventional GLS, regardless of different levels of expertise.

Circulating Biomarkers and Cardiac Structure and Function in Rheumatoid Arthritis.

Background: Rheumatoid arthritis (RA) increases the risk for abnormalities of the cardiac structure and function, which may lead to heart failure (HF). Studying the association between circulating biomarkers and echocardiographic parameters is important to screen patients with RA with a higher risk of cardiac dysfunction. Aim: To study the association between circulating biomarkers and echocardiographic parameters in patients with RA. Methods: Echocardiography was performed in 355 patients with RA from RA Porto cohort and the associations between echocardiographic characteristics and 94 circulating biomarkers were assessed. These associations were also assessed in the Metabolic Road to Diastolic Heart Failure (MEDIA-DHF) [392 patients with HF with preserved ejection fraction (HFpEF)] and the Suivi Temporaire Annuel Non-Invasif de la Santé des Lorrains Assurés Sociaux (STANISLAS) (1,672 healthy population) cohorts. Results: In the RA Porto cohort, mean age was 58 ± 13 years, 23% were males and mean RA duration was 12 ± 10 years. After adjustment and multiple testing correction, left ventricular mass index (LVMi), left atrial volume index (LAVi), and E/e' were independently associated with biomarkers reflecting inflammation [i.e., bone morphogenetic protein 9 (BMP9), pentraxin-related protein 3 (PTX3), tumor necrosis factor receptor superfamily member 11a (TNFRSF11A)], extracellular matrix remodeling [i.e., placental growth factor (PGF)], congestion [i.e., N-terminal pro-brain natriuretic peptide (NT-proBNP), adrenomedullin (ADM)], and myocardial injury (e.g., troponin). Greater LVMi [hazard ratio (HR) (95% CI) per 1 g/m2 = 1.03 (1.02-1.04), p < 0.001], LAVi [HR (95% CI) per 1 ml/m2 = 1.03 (1.01-1.06), p < 0.001], and E/e' [HR (95% CI) per 1 = 1.08 (1.04-1.13), p < 0.001] were associated with higher rates of cardiovascular events. These associations were externally replicated in patients with HFpEF and asymptomatic individuals. Conclusion: Circulating biomarkers reflecting inflammation, extracellular matrix remodeling, congestion, and myocardial injury were associated with underlying alterations of cardiac structure and function. Biomarkers might be used for the screening of cardiac alterations in patients with RA.

Prognostic impact of plasma volume estimated from hemoglobin and hematocrit in heart failure with preserved ejection fraction.

BACKGROUND: Plasma volume (PV) estimated from Duarte's formula (based on hemoglobin/hematocrit) has been associated with poor prognosis in patients with heart failure (HF). There are, however, limited data regarding the association of estimated PV status (ePVS) derived from hemoglobin/hematocrit with clinical profiles and study outcomes in patients with HF and preserved ejection fraction (HFpEF). METHODS AND RESULTS: Patients from North and South America enrolled in the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist trial (TOPCAT) with available hemoglobin/hematocrit data were studied. The association between ePVS (Duarte formula and Hakim formula) and the composite of cardiovascular mortality, HF hospitalization, or aborted cardiac arrest was assessed. Among 1747 patients (age 71.6 years; males 50.1%), mean ePVS derived from Duarte formula was 4.9 ± 1.0 mL/g. Higher Duarte-derived ePVS was associated with prior HF admission, diabetes, more severe congestion, poor renal function, higher natriuretic peptide level, and E/e'. After adjustment for potential covariates including natriuretic peptide, higher Duarte-derived ePVS was associated with an increased rate of the primary outcome [highest vs. lowest ePVS quartile: adjusted-HR (95%CI) = 1.79 (1.28-2.50), p < 0.001]. Duarte-derived ePVS improved prognostic performance on top of clinical and routine variables (including natriuretic peptides) (NRI = 11, p < 0.001), whereas Hakim-derived ePVS did not (p = 0.59). The prognostic value of Duarte-derived ePVS was not modified by renal function (P interaction > 0.10 for all outcomes). CONCLUSION: ePVS from Duarte's formula was associated with congestion status and improved risk stratification regardless of renal function. Our findings suggest that Duarte-derived ePVS is a useful congestion variable in patients with HFpEF.

Association of estimated plasma volume status with hemodynamic and echocardiographic parameters.

BACKGROUND: Estimated plasma volume status (ePVS) has diagnostic and prognostic value in patients with heart failure (HF). However, it remains unclear which congestion markers (i.e., biological, imaging, and hemodynamic markers) are preferentially associated with ePVS. In addition, there is evidence of sex differences in both the hematopoietic process and myocardial structure/function. METHOD AND RESULTS: Patients with significant dyspnea (NYHA ≥ 2) underwent echocardiography and lung ultrasound within 4 h prior to cardiac catheterization. Patients were divided according to tertiles based on sex-specific ePVS thresholds calculated from hemoglobin and hematocrit measurements using Duarte's formula. Among the 78 included patients (median age 74.5 years; males 69.2%; HF 48.7%), median ePVS was 4.1 (percentile25-75 = 3.7-4.9) mL/g in males (N = 54) and 4.8 (4.4-5.3) mL/g in females (N = 24). Patients with the highest ePVS had more frequently HF, higher NT-proBNP, larger left atrial volume, and higher E/e' (all p values < 0.05), but no difference in inferior vena cava diameter or pulmonary congestion assessed by lung ultrasound (all p values > 0.10). In multivariable analysis, higher E/e' and lower diastolic blood pressure were significantly associated with increased ePVS. The association between ePVS and congestion variables was not sex-dependent except for left-ventricular end-diastolic pressure, which was only correlated with ePVS in females (Spearman Rho = 0.53, p < 0.01 in females and Spearman Rho = - 0.04, p = 0.76 in males; pinteraction = 0.08). CONCLUSION: ePVS is associated with E/e' regardless of sex, while only associated with invasively measured left-ventricular end-diastolic pressure in females. These results suggest that ePVS is preferably associated with left-sided hemodynamic markers of congestion.

Association Between Layer-Specific Longitudinal Strain and Risk Factors of Heart Failure and Dyspnea: A Population-Based Study.

BACKGROUND: Global longitudinal strain (GLS), derived from speckle-tracking echocardiography (STE), is a widely used and reproducible left ventricular deformation parameter; assessment of multilayer strain components has also become possible. However, its association with comorbidities/symptoms in low-risk populations without cardiac disease remains understudied. We report reference ranges for longitudinal deformation and their association with cardiovascular risk factors and dyspnea in a large population-based cohort. METHODS: We studied 1,243 subjects without cardiac disease (47 ± 14 years, 47.4% men; 13.8% with dyspnea) enrolled at the fourth visit of the STANISLAS Cohort (Lorraine, France). Clinical evaluation included a comprehensive dyspnea questionnaire. Multilayer GLS (full-wall, subendocardial, and subepicardial) and strain rate (systolic, early, and late diastolic) were evaluated by GLS STE acquisition and measurement protocols as per recommendations by the European Association of Cardiovascular Imaging, American Society of Echocardiography, and Industry Task Force. RESULTS: Full-wall GLS was 23.4% ± 2.7% (mean ± SD) with a subendocardial/subepicardial ratio of 1.2 ± 0.1. Age, gender, smoking status, and body mass index were significantly associated with strain variables, whereas diabetes, dyslipidemia, and hypertension/systolic blood pressure were not. Specifically, there were reductions in diastolic strain rate with aging but no differences in GLS. After propensity score matching, subjects with dyspnea had lower global endocardial strain (-23.48 ± 2.70 vs -23.02 ± 2.81; P = .043) and lower global subendocardial/subepicardial strain ratio (P = .034), whereas transmural strain and classical echocardiographic measurements were unrelated to dyspnea. CONCLUSIONS: Higher body mass index was found to be significantly associated with impaired strain variables in a low-risk population without cardiac disease. In addition, lower global endocardial strain and lower global subendocardial/subepicardial strain ratio were significantly associated with dyspnea contrary to other echocardiographic variables.