RESUMO

Background: Left ventricular contractile reserve (LVCR), coronary flow velocity reserve (CFVR), and heart rate reserve (HRR) affect outcome in heart failure (HF). They can be simultaneously measured during dipyridamole stress echocardiography (DSE). Aim: To assess the value of comprehensive DSE in patients with non-ischemic HF. Methods: We evaluated 610 patients with HF, no history of coronary artery disease, and no inducible regional wall motion abnormalities: 270 patients with preserved ejection fraction (≥50%), 146 patients with mid-range ejection fraction (40-49%), and 194 patients with reduced ejection fraction (<40%). All underwent DSE (0.84 mg/kg in 6') in 7 accredited laboratories. We measured LVCR (abnormal value ≤ 1.1), CFVR in left anterior descending artery (abnormal value: ≤2.0), and HRR (peak/rest heart rate; abnormal value: ≤1.22). All patients were followed up. Results: Abnormal CFVR, LVCR, and HRR occurred in 29%, 45%, and 47% of patients, respectively (p < 0.001). After a median follow-up time of 20 months (interquartile range: 12-32 months), 113 hard events occurred in 105 patients with 41 deaths, 8 myocardial infarctions, 61 admissions for acute HF, and 3 strokes. The annual mortality rates were 0.8% in 200 patients with none abnormal criteria, 1.8% in 184 patients with 1 abnormal criterion, 7.1% in 130 patients with 2 abnormal criteria, 7.5% in 96 patients with 3 abnormal criteria. Conclusions: Abnormal LVCR, CFVR, and HRR were frequent during DSE in non-ischemic HF patients. They target different pathophysiological vulnerabilities (myocardial function, coronary microcirculation, and cardiac autonomic balance) and are useful for outcome prediction.

RESUMO

An enlarged left atrial volume index (LAVI) at rest mirrors increased LA pressure and/or impairment of LA function. A cardiovascular stress may acutely modify left atrial volume (LAV) within minutes. Aim of this study was to assess the feasibility and functional correlates of LAV-stress echocardiography (SE) Out of 514 subjects referred to 10 quality-controlled labs, LAV-SE was completed in 490 (359 male, age 67 ± 12 years) with suspected or known chronic coronary syndromes (n = 462) or asymptomatic controls (n = 28). The utilized stress was exercise in 177, vasodilator in 167, dobutamine in 146. LAV was measured with the biplane disk summation method. SE was performed with the ABCDE protocol. The intra-observer and inter-observer LAV variability were 5% and 8%, respectively. ∆-LAVI changes (stress-rest) were negatively correlated with resting LAVI (r = - 0.271, p < 0.001) and heart rate reserve (r = -.239, p < 0.001). LAV-dilators were defined as those with stress-rest increase ≥ 6.8 ml/m2, a cutoff derived from a calculated reference change value above the biological, analytical and observer variability of LAVI. LAV dilation occurred in 56 patients (11%), more frequently with exercise (16%) and dipyridamole (13%) compared to dobutamine (4%, p < 0.01). At multivariable logistic regression analysis, B-lines ≥ 2 (OR: 2.586, 95% CI = 1.1293-5.169, p = 0.007) and abnormal contractile reserve (OR: 2.207, 95% CI = 1.111-4.386, p = 0.024) were associated with LAV dilation. In conclusion, LAV-SE is feasible with high success rate and low variability in patients with chronic coronary syndromes. LAV dilation is more likely with reduced left ventricular contractile reserve and pulmonary congestion.

Assuntos

RESUMO

RESUMEN Introducción: Existen diversos softwares especializados en el mercado para el almacenamiento electivo de datos de eco estrés (EE). El EE de última generación incorpora nuevos parámetros además de la motilidad parietal. Objetivo: Desarrollar un nuevo software para el almacenamiento de datos e informe de EE. Métodos: Desarrollamos el prototipo de Software Integral de EE (SIEE) con un conjunto mínimo de datos que permite la eventual recolección estandarizada de datos. El software corre en computadoras con capacidad de trabajo mediana-baja y con los sistemas operativos más usados (Windows, MAC OS y Linux). Las funciones de exportación hacia formatos altamente aceptados permiten compartir los datos fácilmente. El software es capaz de generar un informe personalizado que se puede expandir en PDF y en formatos de valores separados por comas. Resultados: El ingreso de datos en el programa prototipo requiere menos de 2 minutos por estudio. Las páginas principales se concentran en las 5 fases ABCDE del EE: fase A (motilidad parietal regional); fase B (líneas B con escaneo simplificado de 4 sitios); fase C (reserva contráctil con fuerza derivada de la presión arterial sistólica y volumen de fin de sístole; fase D (Doppler de reserva coronaria de la arteria descendente anterior); y fase E (reserva cronotrópica derivada del electrocardiograma medida como la razón de frecuencia cardíaca pico/reposo). La última página resume la información ABCDE en un modelo de predicción de riesgo (tasa de muerte cardiovascular anual, abarcando desde riesgo bajo <1% hasta riego alto >3%. Conclusión: El SIEE puede proporcionar una infraestructura adecuada para una aplicación clínica y de investigación avanzada, con un formato gráfico simple y opción de informe satisfactoria. Puede representar una solución intermedia entre la información exhaustiva requerida por los estándares científicos y la prioridad de un flujo de trabajo fluido de actividades relacionadas a la clínica con gran volumen de pacientes. Su validación en gran escala y la adaptación de acuerdo a la opinión de los usuarios es necesaria antes de su difusión a demanda.

ABSTRACT Background: Several specialized softwares are commercially available for the elective storage of stress echo (SE) data. State-of-the-art SE is based upon novel parameters in addition to regional wall motion. Objective: To develop a novel software for SE data storage and reporting. Methods: We developed the prototype of a SE Comprehensive Software (SECS) with a minimum data set eventually allowing standardized collection of data. The software runs with medium-low performance computers as well as with the most popular operating systems (Windows, MAC OS and Linux). The export functions towards widely accepted formats allow easy data sharing. The software is able to generate a customized report which can be expanded in PDF and comma-separated value formats. Results: The program prototype data entry requires <2 min per study. The main pages focus on the 5 steps of ABCDE-SE: step A (regional wall motion); step B (B-lines with 4-site simplified scan); step C (contractile reserve with force derived from systolic blood pressure and end-systolic volume); step D (Doppler-based coronary flow velocity reserve in left anterior descending coronary artery); step E (EKG-based chronotropic reserve measured as peak/rest heart rate). The final page graphically summarizes the ABCDE information in a risk prediction model (cardiac death rate per year, from low risk <1% to high risk >3 %). Conclusion: SECS may provide a suitable infrastructure for an advanced clinical and research application, with simple graphic format and convenient reporting option. It may represent a trade-off between exhaustive information required by scientific standards and smooth workflow priority of busy, high volume, clinically-driven activities. Large scale validation and adaptation from users' feedback is necessary prior to dissemination on demand.