Hypertension remains in 2017 a leading cause of mortality and disability worldwide. A number of issues related to the determinants of cardiovascular risk in hypertensive patients and to the strategies for better hypertension control are still pending. In such a context, aims of my research program were: 1. To investigate the contribution of blood pressure variability to the risk of cardiovascular mortality in hypertensive patients. In this setting, different methods for assessing blood pressure variability and different models exploring the link between blood pressure variability and outcome were investigated. 2. To assess the possibility that a hypertension management strategy based on hemodynamic assessment of patients through impedance cardiography might lead to a better hypertension control over 24 hours than a conventional approach only based on blood pressure measurement during clinic visits. To these aims, this thesis summarizes data obtained by performing a). An in-depth analysis of a study conducted in the Dublin hypertensive population, including 11492 subjects, and b). The analysis of longitudinal data collected in the frame of BEAUTY (BEtter control of blood pressure in hypertensive pAtients monitored Using the hoTman® sYstem) study. In Dublin study, the proportional hazard Cox model and accelerated failure time models have been used to estimate the additional effect of blood pressure variability on cardiovascular mortality over and above the effect of increased mean BP levels, with an attempt to identify the best threshold values for risk stratification. On the other hand, in BEAUTY study, mixed model and generalized estimation equation are used for the longitudinal data analysis.
(2017). Managing Cardiovascular Risk in Hypertension: Methodological Issues in Blood Pressure Data Analysis. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2017).
VALSECCHI, MARIA GRAZIA
|Data di pubblicazione:||7-giu-2017|
|Titolo:||Managing Cardiovascular Risk in Hypertension: Methodological Issues in Blood Pressure Data Analysis|
|Settore Scientifico Disciplinare:||MED/01 - STATISTICA MEDICA|
|Corso di dottorato:||EPIDEMIOLOGIA E BIOSTATISTICA - 64R|
|Citazione:||(2017). Managing Cardiovascular Risk in Hypertension: Methodological Issues in Blood Pressure Data Analysis. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2017).|
|Parole Chiave (Inglese):||Survival data analysis; Longitudinal data analysis; Clinical trial; Blood pressure variability; Hypertension management|
|Appare nelle tipologie:||07 - Tesi di dottorato Bicocca post 2009|