Psychological characterization of hypertensive patients: associations with adherence to pharmacological treatment and self-management

Introduction: The role of psychosocial factors in the onset and progression of essential hypertension has been object of a large body of literature, yet findings appear to be controversial. Aims: We assessed the predictive role of psychosomatic syndromes, affective symptomatology, psychological reactance, psychological distress, well-being and quality of life on adherence to antihypertensive medications, lifestyle behaviors, hypertension severity and absolute cardiovascular risk grading, as well as their temporal stability at 1-year follow-up, in a sample of hypertensive patients. In addition, we aimed to validate the Italian version of the Hong Psychological Reactance Scale (HPRS). Methods: Eighty consecutive hypertensive outpatients treated with antihypertensive medications were compared to 80 controls. Psychosocial variables were assessed using clinical interviews and self-rating questionnaires at baseline and at 1-year follow-up. Cardiac parameters were also collected. One-hundred and fifty individuals from general population provided data for the HPRS validation. Results: Hypertensive patients reported significantly higher levels of psychological distress and lower levels of psychological well-being at baseline compared to controls. Among hypertensive patients, allostatic overload (AO) was the most frequently reported psychosomatic syndrome at baseline. Patients with AO displayed significantly greater levels of psychological distress and lower levels of well-being and quality of life than those without. Further, patients with illness denial were significantly more likely to report poor adherence to pharmacological treatment and, as well as those with higher levels of affective symptomatology, were less likely to follow a balanced diet. At follow-up, patients displayed significantly higher levels of well-being and lower levels of stress, mental pain and quality of life. Conclusions: Findings suggest the clinical relevance of psychosocial factors and psychosomatic syndromes in the progression of hypertension, with important implications for its management. As to the Italian validation of the HPRS, results support previous findings, even though a confirmatory factor analysis should be carried out.

Automatic risk evaluation in elderly patients based on Autonomic Nervous System assessment

Dysfunction of Autonomic Nervous System (ANS) is a typical feature of chronic heart failure and other cardiovascular disease. As a simple non-invasive technology, heart rate variability (HRV) analysis provides reliable information on autonomic modulation of heart rate. The aim of this thesis was to research and develop automatic methods based on ANS assessment for evaluation of risk in cardiac patients. Several features selection and machine learning algorithms have been combined to achieve the goals. Automatic assessment of disease severity in Congestive Heart Failure (CHF) patients: a completely automatic method, based on long-term HRV was proposed in order to automatically assess the severity of CHF, achieving a sensitivity rate of 93% and a specificity rate of 64% in discriminating severe versus mild patients. Automatic identification of hypertensive patients at high risk of vascular events: a completely automatic system was proposed in order to identify hypertensive patients at higher risk to develop vascular events in the 12 months following the electrocardiographic recordings, achieving a sensitivity rate of 71% and a specificity rate of 86% in identifying high-risk subjects among hypertensive patients. Automatic identification of hypertensive patients with history of fall: it was explored whether an automatic identification of fallers among hypertensive patients based on HRV was feasible. The results obtained in this thesis could have implications both in clinical practice and in clinical research. The system has been designed and developed in order to be clinically feasible. Moreover, since 5-minute ECG recording is inexpensive, easy to assess, and non-invasive, future research will focus on the clinical applicability of the system as a screening tool in non-specialized ambulatories, in order to identify high-risk patients to be shortlisted for more complex investigations.

A simple voltage/mass index increases the suspicion of amyloidotic cardiomyopathy: an electrocardiographic and echocardiographic study of 767 patients with increased left ventricular wall thickness due to different causes

Background-Amyloidotic cardiomyopathy (AC) can mimic true left ventricular hypertrophy (LVH), including hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD). We assessed the diagnostic value of combined electrocardiographic/echocardiographic indexes to identify AC among patients with increased echocardiographic LV wall thickness due to either different etiologies of amyloidosis or HCM or HHD. Method-First, we studied 469 consecutive patients: 262 with biopsy/genetically proven AC (with either AL or transthyretin (TTR)-related amyloidosis); 106 with HCM; 101 with HHD. We compared the diagnostic performance of: low QRS voltage, symmetric LVH, low QRS voltage plus interventricular septal thickness >1.98 cm, Sokolow index divided by the cross-sectional area of LV wall, Sokolow index divided by body surface area indexed LV mass (LVMI), Sokolow index divided by LV wall thickness, Sokolow index divided by (LV wall/height^2.7); peripheral QRS score divided by LVMI, Peripheral QRS score divided by LV wall thickness, Peripheral QRS score divided by LV wall thickness indexed to height^2.7, total QRS score divided by LVMI, total QRS score divided by LV wall thickness; total QRS score divided by (LV wall/height^2.7). We tested each criterion, separately in males and females, in the following settings: AC vs. HCM+HHD; AC vs. HCM; AL vs. HCM+HHD; AL vs. HCM; TTR vs. HCM+HHD; TTR vs. HCM. Results-Low QRS voltage showed high specificity but low sensitivity for the identification of AC. All the combined indexes had a higher diagnostic accuracy, being total QRS score divided by LV wall thickness or by LVMI associated with the best performances and the largest areas under the ROC curve. These results were validated in 298 consecutive patients with AC, HCM or HHD. Conclusions-In patients with increased LV wall thickness, a combined ECG/ echocardiogram analysis provides accurate indexes to non-invasively identify AC. Total QRS score divided by LVMI or LV wall thickness offers the best diagnostic performance.