ABSTRACT
Data on post-heart transplant (HT) survival of patients with Chagas cardiomyopathy (CC) are scarce. We sought to evaluate post-HT survival in patients with CC as compared with other causes of heart failure across different eras of HT. Methods: We conducted a retrospective, cohort study of 376 adult HT recipients between October 1997 and November 2019. Participants were classified according to the etiology of heart failure as CC (N = 66), nonischemic cardiomyopathy (N = 214), and ischemic cardiomyopathy (N = 96), and according to the era of HT as early (1997-2009), recent (2010-2014), and current era (2015-2019). Results: After a mean follow-up of 5.0 y (0-20.5 y), post-HT survival rates at 1, 5, and 10 y were comparable between groups. One-y survival improved from 70% in the early eras to 80% in the current era (hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.41-0.97; P = 0.034). After adjustment for sex, age, and mechanical circulatory support, time-related improvement in survival was observed only in patients without CC (HR, 0.54; 95% CI, 0.32-0.91; P = 0.019) but not in those with CC (HR, 0.99; 95% CI, 0.36-2.73; P = 0.98). Causes of death were similar between patients with CC and the other etiological subgroups. Conclusions: Posttransplant survival is comparable between patients with CC, nonischemic cardiomyopathy, and ischemic cardiomyopathy. Although survival has improved significantly over years for most HT recipients, it has remained unchanged for those with Chagas disease. These trends underscore the importance of scientific research, policy discussions and a collaborative registry of heart transplantation in Chagas cardiomyopathy.
ABSTRACT
Heart Rate Variability (HRV) is an important tool for the analysis of a patient’s physiological conditions, as well a method aiding the diagnosis of cardiopathies. Photoplethysmography (PPG) is an optical technique applied in the monitoring of the HRV and its adoption has been growing significantly, compared to the most commonly used method in medicine, Electrocardiography (ECG). In this survey, definitions of these technique are presented, the different types of sensors used are explained, and the methods for the study and analysis of the PPG signal (linear and nonlinear methods) are described. Moreover, the progress, and the clinical and practical applicability of the PPG technique in the diagnosis of cardiovascular diseases are evaluated. In addition, the latest technologies utilized in the development of new tools for medical diagnosis are presented, such as Internet of Things, Internet of Health Things, genetic algorithms, artificial intelligence and biosensors which result in personalized advances in e-health and health care. After the study of these technologies, it can be noted that PPG associated with them is an important tool for the diagnosis of some diseases, due to its simplicity, its costâ»benefit ratio, the easiness of signals acquisition, and especially because it is a non-invasive technique.
