%0 Journal Article
%@ 2561-1011
%I JMIR Publications
%V 1
%N 1
%P e1
%T Bioimpedance-Based Heart Failure Deterioration Prediction Using a Prototype Fluid Accumulation Vest-Mobile Phone Dyad: An Observational Study
%A Darling,Chad Eric
%A Dovancescu,Silviu
%A Saczynski,Jane S
%A Riistama,Jarno
%A Sert Kuniyoshi,Fatima
%A Rock,Joseph
%A Meyer,Theo E
%A McManus,David D
%+ UMass Memorial Health Care, Department of Emergency Medicine, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, United States, 1 508 421 1464, chad.darling@umassmed.edu
%K telemedicine
%K outpatient monitoring
%K heart failure
%K electric impedance
%D 2017
%7 13.03.2017
%9 Original Paper
%J JMIR Cardio
%G English
%X Background: Recurrent heart failure (HF) events are common in patients discharged after acute decompensated heart failure (ADHF). New patient-centered technologies are needed to aid in detecting HF decompensation. Transthoracic bioimpedance noninvasively measures pulmonary fluid retention. Objective: The objectives of our study were to (1) determine whether transthoracic bioimpedance can be measured daily with a novel, noninvasive, wearable fluid accumulation vest (FAV) and transmitted using a mobile phone and (2) establish whether an automated algorithm analyzing daily thoracic bioimpedance values would predict recurrent HF events. Methods: We prospectively enrolled patients admitted for ADHF. Participants were trained to use a FAV–mobile phone dyad and asked to transmit bioimpedance measurements for 45 consecutive days. We examined the performance of an algorithm analyzing changes in transthoracic bioimpedance as a predictor of HF events (HF readmission, diuretic uptitration) over a 75-day follow-up. Results: We observed 64 HF events (18 HF readmissions and 46 diuretic uptitrations) in the 106 participants (67 years; 63.2%, 67/106, male; 48.1%, 51/106, with prior HF) who completed follow-up. History of HF was the only clinical or laboratory factor related to recurrent HF events (P=.04). Among study participants with sufficient FAV data (n=57), an algorithm analyzing thoracic bioimpedance showed 87% sensitivity (95% CI 82-92), 70% specificity (95% CI 68-72), and 72% accuracy (95% CI 70-74) for identifying recurrent HF events. Conclusions: Patients discharged after ADHF can measure and transmit daily transthoracic bioimpedance using a FAV–mobile phone dyad. Algorithms analyzing thoracic bioimpedance may help identify patients at risk for recurrent HF events after hospital discharge. 
%M 31758769
%R 10.2196/cardio.6057
%U http://cardio.jmir.org/2017/1/e1/
%U https://doi.org/10.2196/cardio.6057
%U http://www.ncbi.nlm.nih.gov/pubmed/31758769