Mining telemonitored physiological data and patient-reported outcomes of congestive heart failure patients

Autor: Maja Somrak, Miha Mlakar, Silvio Bonfiglio, Mitja Luštrek, Paolo Emilio Puddu, Chiron
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Male
Blood protein disorder
Decision Analysis
Blood Protein Disorders
Cardiomyopathy
lcsh:Medicine
Blood Pressure
030204 cardiovascular system & hematology
Vascular Medicine
Body Temperature
Machine Learning
Electrocardiography
0302 clinical medicine
Quality of life
Heart Rate
Accelerometry
Medicine and Health Sciences
Data Mining
Telemetry
030212 general & internal medicine
lcsh:Science
Multidisciplinary
Applied Mathematics
Simulation and Modeling
Middle Aged
Telemedicine
humanities
3. Good health
Bioassays and Physiological Analysis
Area Under Curve
Physical Sciences
Ambulatory
Engineering and Technology
Female
Information Technology
Management Engineering
Algorithms
Research Article
Computer and Information Sciences
medicine.medical_specialty
Cardiology
MEDLINE
Monitoring
Ambulatory
Research and Analysis Methods
Models
Biological
Wearable Electronic Devices
03 medical and health sciences
Artificial Intelligence
medicine
Humans
Patient Reported Outcome Measures
Intensive care medicine
Heart Failure
business.industry
Decision Trees
Electrophysiological Techniques
lcsh:R
Humidity
medicine.disease
Health Care
Blood pressure
ROC Curve
Heart failure
Quality of Life
Observational study
lcsh:Q
Cardiac Electrophysiology
business
Mathematics
Zdroj: PLoS ONE, Vol 13, Iss 3, p e0190323 (2018)
PLOS ONE
PLoS ONE
ISSN: 1932-6203
Popis: This paper addresses patient-reported outcomes (PROs) and telemonitoring in congestive heart failure (CHF), both increasingly important topics. The interest in CHF trials is shifting from hard end-points such as hospitalization and mortality, to softer end-points such health-related quality of life. However, the relation of these softer end-points to objective parameters is not well studied. Telemonitoring is suitable for collecting both patient-reported outcomes and objective parameters. Most telemonitoring studies, however, do not take full advantage of the available sensor technology and intelligent data analysis. The Chiron clinical observational study was performed among 24 CHF patients (17 men and 7 women, age 62.9 ± 9.4 years, 15 NYHA class II and 9 class III, 10 of ishaemic, aetiology, 6 dilated, 2 valvular, and 6 of multiple aetiologies or cardiomyopathy) in Italy and UK. A large number of physiological and ambient parameters were collected by wearable and other devices, together with PROs describing how well the patients felt, over 1,086 days of observation. The resulting data were mined for relations between the objective parameters and the PROs. The objective parameters (humidity, ambient temperature, blood pressure, SpO2, and sweeting intensity) could predict the PROs with accuracies up to 86% and AUC up to 0.83, making this the first report providing evidence for ambient and physiological parameters to be objectively related to PROs in CHF patients. We also analyzed the relations in the predictive models, gaining some insights into what affects the feeling of health, which was also generally not attempted in previous investigations. The paper strongly points to the possibility of using PROs as primary end-points in future trials.
Databáze: OpenAIRE
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