Speckle-tracking global longitudinal strain as an early predictor of cardiotoxicity in breast carcinoma.

PURPOSE: Recent development in anticancer therapies for breast carcinoma allowed an improvement in patients' survival, notwithstanding a parallel increase of cardiovascular morbidity. Cardiotoxicity of anticancer therapies represents a relevant problem due to its insidious onset and potentially irreversible cardiac damage. The aim of the present study was to test whether 2D speckle tracking analysis can help in predicting overt systolic dysfunction. METHODS: A "real world" cohort of 69 patients with breast carcinoma undergoing adjuvant and/or neo-adjuvant chemotherapy was tested 2D-speckle tracking analysis before the beginning of chemotherapy and every 3 months for 1 year. Clinical data, 12-lead ECGs, and lab tests were collected according to the same visit protocol. RESULTS: Over 1-year follow-up, 19 patients (27 %) developed cardiac dysfunction according to the CREC criteria, with an average onset time from enrolment of 6.8 months. A global longitudinal strain (GLS) threshold ≥-16 % at 3 months from chemotherapy was able to predict subsequent systolic dysfunction development with high sensitivity (80 %) and specificity (90 %) and a negative predictive value of 92 %. After the introduction of cardioprotective drugs, left ventricular ejection fraction (LVEF) progressively recovered, while alterations of GLS persisted at 1-year follow-up. CONCLUSIONS: Strain imaging with 2D speckle tracking allows the identification of patients at low-risk for chemotherapy-related systolic dysfunction and can help optimizing resources allocations and improving follow-up quality. GLS can also provide a more accurate prognostic index of resolved systolic dysfunction when compared to standard LVEF.

Safety and Efficacy of Dapagliflozin in Patients with Heart Failure with Reduced Ejection Fraction: Multicentre Retrospective Study on Echocardiographic Parameters and Biomarkers of Heart Congestion.

Objectives: Dapagliflozin has shown efficacy in clinical trials in patients with heart failure and reduced ejection fraction (HFrEF). However, real-world data on its use and outcomes in routine clinical practice are limited. We aimed to evaluate the utilisation and safety profile of dapagliflozin in a real-world population of HFrEF patients within the Marche region. Methods: Nine cardiology departments within the Marche region retrospectively included HFrEF patients who were initiated on dapagliflozin therapy in an outpatient setting. Data on medical history, comorbidities, echocardiographic parameters, and laboratory tests were collected at baseline and after 6 months. Telephone follow-up interviews were conducted at 1 and 3 months to assess adverse events. We defined the composite endpoint score as meeting at least 50% of four objective measures of improvement among: weight loss, NYHA decrease, ≥50% Natriuretic peptides (NP) decrease, and guideline/directed medical therapy (GDMT) up titration. Results: We included 95 HFrEF patients aged 66 ± 12 years, 82% were men, 48% had ischemic heart disease, and 20% had diabetes. At six months, glomerular filtration rate declined (p = 0.03) and natriuretic peptides levels decreased, on average, by 23% (p < 0.001). Echocardiographic measurements revealed a decrease in pulmonary artery pressure (p < 0.001) and E/e' (p < 0.001). In terms of drug therapy, furosemide dosage decreased (p = 0.001), and the percentage of the target dose achieved for angiotensin receptor-neprilysin inhibitors increased (p = 0.003). By multivariable Cox regression, after adjustment for age, sex, the presence of diabetes/prediabetes, and HF duration, higher baseline Hb concentrations (HR 1.347, 95% CI 1.038-1.746, p = 0.025), and eGFR levels (HR 1.016, 95% CI 1.000-1.033, p = 0.46). Conclusions: In a real-life HFrEF population, dapagliflozin therapy is safe and well-tolerated, improves echocardiographic parameters and biomarkers of congestion, and can also facilitate the titration of drugs with a prognostic impact.

Global Longitudinal Strain as a Predictor of First and Subsequent Arrhythmic Events in Remotely Monitored ICD Patients With Structural Heart Disease.

OBJECTIVES: This study sought to assess speckle-tracking-derived parameters as predictors of first and subsequent ventricular events in patients with structural heart disease and implantable cardioverter-defibrillators (ICD). BACKGROUND: Left ventricular ejection fraction (LVEF), the current primary parameter of risk stratification for ventricular arrhythmias (VAs) in structural heart diseases is burdened by many limitations. METHODS: In this retrospective, observational study, all consecutive patients with structural heart disease were admitted for ICD implantation. Patients not followed by a home-monitoring system were excluded. Two-dimensional (2D) speckle-tracking analysis was used to derive global longitudinal strain (GLS), mechanical dispersion (MD), and delta contraction duration (DCD) of all patients at enrollment. Home monitoring was checked weekly to detect all VAs and ICD therapies. A recurrent event statistical approach (Prentice, Williams, and Peterson model) was applied to evaluate subsequent events after the first ones. RESULTS: A total of 203 patients were consecutively enrolled and followed for a median of 2.2 years. Kaplan-Meier curves showed an increased risk of antitachycardia pacing or shock (log-rank p = 0.003) and VAs (log-rank p = 0.001) associated with lower quartiles of GLS. An impaired GLS was independently associated with an increased risk for the first ICD therapy (hazard ratio [HR]: 1.94; 95% confidence interval [CI]: 1.30 to 2.91; p = 0.001) and (HR: 1.42; 95% CI: 1.01 to 1.98; p = 0.04) for the first VA. GLS impairment was not significantly associated with an increased risk of recurrent ICD therapies or VAs. LVEF, MD, and DCD were not associated with an increased risk of first, second, and third ICD therapies or VA. CONCLUSIONS: Impaired GLS is associated with an increased risk of VAs and appropriate ICD therapies in a consecutive "real-world," unselected population of remotely monitored patients with structural heart disease, although it does not seem reliable in predicting further arrhythmic events after the first one. MD and DCD do not predict first or subsequent arrhythmic events in ICD patients with structural heart disease.