BACKGROUND: Automatic event detection is used in telemedicine based heart failure disease management programs supporting physicians and nurses in monitoring of patients' health data. OBJECTIVES: Analysis of the performance of automatic event detection algorithms for prediction of HF related hospitalisations or diuretic dose increases. METHODS: Rule-Of-Thumb and Moving Average Convergence Divergence (MACD) algorithm were applied to body weight data from 106 heart failure patients of the HerzMobil-Tirol disease management program. The evaluation criteria were based on Youden index and ROC curves. RESULTS: Analysis of data from 1460 monitoring weeks with 54 events showed a maximum Youden index of 0.19 for MACD and RoT with a specificity > 0.90. CONCLUSION: Comparison of the two algorithms for real-world monitoring data showed similar results regarding total and limited AUC. An improvement of the sensitivity might be possible by including additional health data (e.g. vital signs and self-reported well-being) because body weight variations obviously are not the only cause of HF related hospitalisations or diuretic dose increases.
BACKGROUND: Automatic event detection is used in telemedicine based heart failure disease management programs supporting physicians and nurses in monitoring of patients' health data. OBJECTIVES: Analysis of the performance of automatic event detection algorithms for prediction of HF related hospitalisations or diuretic dose increases. METHODS: Rule-Of-Thumb and Moving Average Convergence Divergence (MACD) algorithm were applied to body weight data from 106 heart failurepatients of the HerzMobil-Tirol disease management program. The evaluation criteria were based on Youden index and ROC curves. RESULTS: Analysis of data from 1460 monitoring weeks with 54 events showed a maximum Youden index of 0.19 for MACD and RoT with a specificity > 0.90. CONCLUSION: Comparison of the two algorithms for real-world monitoring data showed similar results regarding total and limited AUC. An improvement of the sensitivity might be possible by including additional health data (e.g. vital signs and self-reported well-being) because body weight variations obviously are not the only cause of HF related hospitalisations or diuretic dose increases.
Authors: Michael Gruska; Gerhard Aigner; Johann Altenberger; Dagmar Burkart-Küttner; Lukas Fiedler; Marianne Gwechenberger; Peter Lercher; Martin Martinek; Michael Nürnberg; Gerhard Pölzl; Gerold Porenta; Stefan Sauermann; Christoph Schukro; Daniel Scherr; Clemens Steinwender; Markus Stühlinger; Alexander Teubl Journal: Wien Klin Wochenschr Date: 2020-12-01 Impact factor: 1.704
Authors: G Poelzl; T Egelseer-Bruendl; B Pfeifer; R Modre-Osprian; S Welte; B Fetz; S Krestan; B Haselwanter; M M Zaruba; J Doerler; C Rissbacher; E Ammenwerth; A Bauer Journal: Clin Res Cardiol Date: 2021-07-16 Impact factor: 5.460