<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hand, Larry</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Leyva, Francisco</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Physiological Diagnostic Algorithm Tracks Ventilation and Workload in Patients with Heart Failure</style></title><secondary-title><style face="normal" font="default" size="100%">MD Conference Express</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013-08-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">15-15</style></pages><abstract><style  face="normal" font="default" size="100%">A physiological diagnostic (PhD) algorithm in a cardiac resynchronization device called Paradym (Paradym CRT+PhD) has a low sensitivity of 34% and a false-positive rate of 2.4 per patient year. This article reports on the results the trial Evaluation of a Diagnostic Feature in a Cardiac Resynchronization Therapy Device [CLEPSYDRA; NCT00957541]. A subanalysis of the study provided the basis for development of an alternative device-derived risk stratifier of heart failure (HF) events, identifying patients likely to develop HF decompensation in the following month with a Hazard Ratio of 4.4 [Gold M et al. EuroPace 2013 (abstr P1511)].</style></abstract><number><style face="normal" font="default" size="100%">12</style></number><volume><style face="normal" font="default" size="100%">13</style></volume></record></records></xml>