Publications

Telemonitoring prediction alarms for detecting upcoming decompensations in heart failure patients using daily weight and trans-thoracic impedance measures

Publication Type Journal Article
Authors Illapha Cuba Gyllensten, A. G. Bonomi, Harald Reiter, Oliver Amft
Title Telemonitoring prediction alarms for detecting upcoming decompensations in heart failure patients using daily weight and trans-thoracic impedance measures
Abstract Background: Detecting upcoming decompensation events in heart failure (HF) patients could, with the advent of novel sensors in telemonitoring systems, provide new strategies in treating HF remotely. Purpose: The aim of this study was to compare the predictive value for acute HF of trans-thoracic impedance measurements and published methods based on patient weight. Method: A retrospective analysis of a cohort of 91 HF patients using a telemonitoring system for daily weight and trans-thoracic impedance measurements. Average follow-up was 10 months during which 19 adjudicated hospitalizations for HF decompensation occurred. Prediction alarms found in literature were generated from data on weight change and trans-thoracic impedance according to thresholds (rule-of-thumb) and trends (moving average convergence divergence, MACD). Results: A weight increase of or above 2 kg from baseline (previous 28 days) before decompensation occurred in 39% of the patients but only 11% experienced this weight increase rapidly (≥2kg over 3 days). Rule-of-thumb methods on weight change showed poor sensitivity (6%) for high specificity ranges (95%-100%). When applying MACD the decompensation predictive value of weight change improved (36% sensitivity at 95% specificity). Impedance dropped by 10% in 56% of the patients before decompensation. Impedance thresholds showed a sensitivity of 50% at 95% specificity. Conclusion: Rapid weight increase is a specific but insensitive predictor of decompensation when compared to trans-thoracic impedance. A fusion of several sensor modalities could even further improve the prediction of upcoming events of acute heart failure.
Publication European Journal of Heart Failure Supplements
Volume 11
Issue S1
Pages S149
Date 2012
Friedrich-Alexander-Universität Erlangen-Nürnberg