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Patients with asymptomatic heart failure (HF; stage A and B) are characterized by maladaptive left ventricular (LV) remodeling. Classic 4-group classification of remodeling considers only LV mass index and relative wall thickness as variables. Complex remodeling classification (CRC) includes also LV end-diastolic volume index. Main aim was to assess the prognostic impact of CRC in stage A and B HF. A total of 1,750 asymptomatic subjects underwent echocardiographic examination as a screening evaluation in the presence of cardiovascular risk factors. LV dysfunction, both systolic (ejection fraction) and diastolic (transmitral flow velocity pattern), was evaluated, together with LV remodeling. We considered a composite end point: all-cause death, myocardial infarction, coronary revascularizations, cerebrovascular events, and acute pulmonary edema. CRC was suitable for 1,729 patients (men 53.6%; age 58.3 ± 13 years). Two hundred thirty-eight patients presented systolic dysfunction (ejection fraction <50%) and 483 diastolic dysfunction. According to the CRC, 891 patients were normals or presented with physiologic hypertrophy, 273 concentric remodeling, 47 eccentric remodeling, 350 concentric hypertrophy, 29 mixed hypertrophy, 86 dilated hypertrophy, and 53 eccentric hypertrophy. Age and gender distribution was noticed (p <0.001). After a median follow-up of 21 months, Kaplan-Meier analysis showed different survival distribution (p <0.001) of the CRC patterns. In multivariate Cox regression (adjusted for age, gender, history of stable ischemic heart disease, classic remodeling classification, systolic, and diastolic dysfunction), CRC was independent predictor of primary end point (p = 0.044, hazard ratio 1.101, 95% CI 1.003 to 1.21), confirmed in a logistic regression (p <0.03). In conclusion, CRC could help physicians in prognostic stratification of patients in stage A and B HF., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: Asymptomatic left ventricular dysfunction (ALVD) is relatively common in both community and high-risk populations. Early pharmacological intervention can improve clinical outcomes in subjects with this condition., Objectives: This multicentre study consists on electrocardiographic and echocardiographic examination of stage A and B heart failure (HF) asymptomatic subjects with one or more cardiovascular risk factors, to assess the prognostic value of cardiovascular risk factors per se, clinical history, and electrocardiographic and echocardiographic parameters in prediction of progression of HF and/or in development of cardiovascular primary or secondary events., Material and Methods: A total of 2142 asymptomatic subjects (mean age 63 years, 1162 males) performed an electrocardiographic and echocardiographic examination. Electrocardiogram (ECG) pathological signs according to Minnesota code and left ventricular dysfunction both systolic and diastolic by echocardiography were evaluated. There were 2002 subjects who were followed up for 26 ± 11 months, observing their primary and secondary end points., Results: At follow up, the study population presented 111 primary end points (5.2%) and 441 secondary end points (20.6%). ECG criteria of LV hypertrophy and signs of ischaemia or previous myocardial infarction (p < 0.0001) were highly significantly related to primary end points. Both ECG and echocardiography (systolic function) are able at Kaplan-Meier cumulative survival curves to predict primary end points (p < 0.0001)., Conclusions: Presence or absence of left ventricular systolic and /or diastolic dysfunction has an incremental value in comparison to cardiovascular risk factors, clinical history, and ECG findings to predict both the evolution towards a more severe HF stage (stage C) and also the occurrence of cardiovascular events., (© The European Society of Cardiology 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.)

Introduction: Telemedicine systems consist of collection, transmission, and analysis of biometric data essentially based on instrumental measures. Our goal was to evaluate if information collected from patients has an incremental informative value in automatically rating the patient's health status., Materials and Methods: We present preliminary results of a new telemedicine system (ASCOLTA) obtained by observation of 12 heart failure patients (New York Heart Association Class IIb-III). Instrumental data (electrocardiogram, oxygen saturation level, and respiration rate) were wirelessly collected daily together with clinical data (weight, heart rate, and blood pressure values) and patients' information obtained through a Web-based questionnaire, simulating a virtual medical visit. Health status was independently judged by two blinded cardiologists and by the patient's cardiologist on the basis of 348 daily clinical reports. Random forest classification analysis was applied to 240 complete clinical report variables in order to estimate the judged health status., Results: The use of "patient's information" led to a better predictive ability in comparison with using only physiological parameters assessed by instruments. The complete set of variables (Patient+Instrumental) achieved 84% concordance, compared with 72% for the instrumental-only variables and 69% for the patient-only variables. The receiver operator characteristics curves graphically confirmed the described results., Conclusions: Patients have an active role in home monitoring, and their information appears relevant for a new telemedicine approach integrating subjective and objective vital signs. Combining patient information with instrumental parameters, it is possible to achieve a more correct automatic classification of health status of heart failure patients.

Introduction: Doppler echocardiography with early diastolic transmitral velocity (E)/early mitral annular diastolic velocity (E') ratio has been proposed as the best predictor for evaluating left ventricle (LV) filling pressure. A dimensionless index E/(E' × S') ratio (S' = systolic mitral annulus velocity) resulted in readily, reproducible, and reliable predictor of LV filling pressure. We assessed the prognostic impact of E/(E' × S') in patients with asymptomatic heart failure (HF). Materials and Methods: We calculated E/(E' × S') in 337 patients (179 male, 53%; age 54.7 ± 13.7 years) using the average of septal and lateral mitral annular velocities. We considered a composite endpoint as follows: all-cause death, acute myocardial infarction, stroke, and HF exacerbation. Results: Baseline ejection fraction resulted 60.2 ± 11.8%; E/(E' × S') was 1.45 ± 0.8, with S' 7.4 ± 2.4 cm/s and E/E' 9.5 ± 5.4. After a 22-month median follow-up, there were 42 events: 5 deaths (12%), 3 acute myocardial infarctions (7%), 1 stroke (2%), and 33 HF hospitalizations (79%). In patients reaching the composite endpoint, E/(E' × S') resulted 2.07 ± 1.1 versus 1.3 ± 0.7 in event-free population (P < 0.001). In a Cox-regression analysis, adjusted for confounding clinical factors and conventional echo parameters, E/(E' × S') (P < 0.001), age (P < 0.001), and male gender (P = 0.03) resulted independent predictors of the composite endpoint. Conclusions: E/(E' × S') was an independent predictor for the future cardiac events in asymptomatic HF. [ABSTRACT FROM AUTHOR]

Introduction: The digital divide affecting elderly patients may compromise the diffusion of telemedicine systems for this age segment. It might be that the difficulties in the passage from trials to the effective distribution of telemedicine systems are also due to the awareness of a personal digital divide in the target population. Materials and Methods: The analysis aims to estimate the number of people over the age of 50 years with potential cardiovascular problems able to access the Web. It made use of data from several sources (the Survey of Health, Ageing and Retirement in Europe and the Istituto Nazionale di Statistica Multiscopo Survey). Furthermore, with regard to Italy, the estimates obtained from official data were compared with those obtained in a survey investigating heart failure patients in Tuscany. Results: In 2011, the percentage of people suffering from cardiovascular diseases and with Web access was 24% in Europe, with significant differences by country (ranging from 53% in Switzerland to below 20% in Italy, Spain, and Portugal). In Italy, however, the proportion of people with Web access increased from 2007 to 2011, and the survey in Tuscany showed that elderly people with limited information and communications technology skills overcame challenges and learned how to connect to the Web because they started to appreciate new technologies. Conclusions: The opportunity to use the Internet to monitor patients with chronic disease can serve as a challenge to reduce the digital divide gap and, furthermore, to increase their social and technological inclusion. [ABSTRACT FROM AUTHOR]

Introduction: Telemedicine systems consist of collection, transmission, and analysis of biometric data essentially based on instrumental measures. Our goal was to evaluate if information collected from patients has an incremental informative value in automatically rating the patient's health status. Materials and Methods: We present preliminary results of a new telemedicine system (ASCOLTA) obtained by observation of 12 heart failure patients (New York Heart Association Class IIb-III). Instrumental data (electrocardiogram, oxygen saturation level, and respiration rate) were wirelessly collected daily together with clinical data (weight, heart rate, and blood pressure values) and patients' information obtained through a Web-based questionnaire, simulating a virtual medical visit. Health status was independently judged by two blinded cardiologists and by the patient's cardiologist on the basis of 348 daily clinical reports. Random forest classification analysis was applied to 240 complete clinical report variables in order to estimate the judged health status. Results: The use of 'patient's information' led to a better predictive ability in comparison with using only physiological parameters assessed by instruments. The complete set of variables (Patient+Instrumental) achieved 84% concordance, compared with 72% for the instrumental-only variables and 69% for the patient-only variables. The receiver operator characteristics curves graphically confirmed the described results. Conclusions: Patients have an active role in home monitoring, and their information appears relevant for a new telemedicine approach integrating subjective and objective vital signs. Combining patient information with instrumental parameters, it is possible to achieve a more correct automatic classification of health status of heart failure patients. [ABSTRACT FROM AUTHOR]