A Methodological Perspective of Predicting Circadian Fluctuations of 24-Hour Ambulatory Blood Pressure: A New Look to ABPM Analyses in Cardiovascular Clinical Trials

• Activity Number: 377
• Type: Contributed
• Date/Time: Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
• Sponsor: Biopharmaceutical Section
• Author(s): D. Das Purkayastha*+
• Companies: Novartis Pharmaceuticals
• Keywords: ABPM ; Peak ; Trough ; Intrinsic mode function ; Gumbel-extreme value

Abstract

Ambulatory blood pressure monitoring (ABPM) data are generally nonstationary and stochastic like many other clinical parameters. Clinical observations of 24-hour ambulatory data indicate such variations of blood pressures. But conventional analyses of ABPM data fail to capture such variability. This paper provides a new approach of analyzing ambulatory blood pressure by smoothing local peak and trough of blood pressure over time. It is an iterative modal decomposition method that uses a monotonic intrinsic mode function. Also, using a family of exponential Gumbel-extreme value distributions it has been observed that the method maintains its predictive power unlike other traditional approaches. This new computationally feasible approach of analyzing ABPM data is tested using real-life clinical data for prediction of peak and trough blood pressure during the morning, day, and night time.