ABSTRACT
BACKGROUND: Heart Failure (HF) is a common reason for hospitalization. Admissions might be prevented by early detection of and intervention for decompensation. Conventionally, changes in weight, a possible measure of fluid accumulation, have been used to detect deterioration. Transthoracic impedance may be a more sensitive and accurate measure of fluid accumulation. OBJECTIVE: In this study, we review previously proposed predictive algorithms using body weight and noninvasive transthoracic bio-impedance (NITTI) to predict HF decompensations. METHODS: We monitored 91 patients with chronic HF for an average of 10 months using a weight scale and a wearable bio-impedance vest. Three algorithms were tested using either simple rule-of-thumb differences (RoT), moving averages (MACD), or cumulative sums (CUSUM). RESULTS: Algorithms using NITTI in the 2 weeks preceding decompensation predicted events (P<.001); however, using weight alone did not. Cross-validation showed that NITTI improved sensitivity of all algorithms tested and that trend algorithms provided the best performance for either measurement (Weight-MACD: 33%, NITTI-CUSUM: 60%) in contrast to the simpler rules-of-thumb (Weight-RoT: 20%, NITTI-RoT: 33%) as proposed in HF guidelines. CONCLUSIONS: NITTI measurements decrease before decompensations, and combined with trend algorithms, improve the detection of HF decompensation over current guideline rules; however, many alerts are not associated with clinically overt decompensation.
ABSTRACT
Innovative concepts for prevention and disease management of cardio-vascular disease are being developed in the framework of MyHeart project. After a successful first phase where 16 different concepts were tested, four of them where selected on the basis of user acceptance, technical feasibility and foreseen impact. The present paper gives an overview of such product-concepts that are being implemented and will be extensively tested in the next phase of the project.
Subject(s)
Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/prevention & control , Diagnosis, Computer-Assisted/methods , Monitoring, Ambulatory/methods , Remote Consultation/methods , Self Care/methods , Therapy, Computer-Assisted/methods , User-Computer Interface , HumansABSTRACT
MyHeart is a so-called Integrated Project of the European Union aiming to develop intelligent systems for the prevention and monitoring of cardiovascular diseases. The project develops smart electronic and textile systems and appropriate services that empower the users to take control of their own health status.