The population RDH index: a novel vector index and graphical method for statistical assessment of antihypertensive treatment reduction, duration, and homogeneity — Mateo Aboy (2006) | RDL Network
The population RDH index: a novel vector index and graphical method for statistical assessment of antihypertensive treatment reduction, duration, and homogeneity
Current indices used in the evaluation of antihypertensive treatment duration and homogeneity such as the trough-peak, smoothness index, and normalized smoothness index were designed to be applied to ambulatory blood pressure monitoring recordings from individual participants. Evaluation of antihypertensive treatment in populations is often carried out by calculating these individual indices for each of the participants and providing summarizing statistics about the population, such as the mean and median. We describe a new population vector index and graphical method for the statistical assessment of antihypertensive treatment reduction, duration, and homogeneity (RDH) from ambulatory blood pressure monitoring. The population (RDH) was specifically designed as a tool to evaluate and compare blood pressure coverage offered by antihypertensive drugs over 24 h in populations. The population RDH is a three-component vector index that incorporates information about the reduction, duration, and homogeneity of antihypertensive treatment, as well as their statistical significance over the 24 h period. In addition to defining the RDH index, in this paper we also demonstrate its usefulness and advantages as an index and graphical method for antihypertensive treatment duration and homogeneity assessment by using it to analyze two data sets.
María José Gallardo, A. Suárez, Peng Li, Ramon C Hermida, Michael H. Smolensky, Claudia Duran‐Aniotz, Andrea Slachevsky, María Isabel Behrens, David Aguillón, Hernando Santamaría‐García, Adolfo M. García, Diana Matallana, Agustín Ibáñez, Kun Hu, Shahab Haghayegh
Konstantinos G. Kyriakoulis, Αναστάσιος Κόλλιας, Grzegorz Bilo, Davide Soranna, Changyuan Liu, Martino F. Pengo, Antonella Zambon, Wei Zhang, Ji‐Guang Wang, George S. Stergiou, Gianfranco Parati
Discussion(0)
No comments yet. Be the first to comment.