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Behavioural digital biomarkers enable real-time monitoring of patient-reported outcomes: a substudy of the multicenter, prospective observational SafeHeart study.
Kolk, Mzh; Frodi, D M; Langford, J; Meskers, C J; Andersen, T O; Jacobsen, P K; Risum, N; Tan, H L; Svendsen, J H; Knops, R E; Diederichsen, S Z; Tjong, Fvy.
Afiliación
  • Kolk M; Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Frodi DM; Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
  • Langford J; Activinsights Ltd, Kimbolton, UK.
  • Meskers CJ; College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
  • Andersen TO; Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Jacobsen PK; Vital Beats, Copenhagen, Denmark.
  • Risum N; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
  • Tan HL; Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
  • Svendsen JH; Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
  • Knops RE; Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Diederichsen SZ; Netherlands Heart Institute, Utrecht, The Netherlands.
  • Tjong F; Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Article en En | MEDLINE | ID: mdl-38059857
ABSTRACT

INTRODUCTION:

Patient-reported outcome measures (PROMs) serve multiple purposes, including shared decision-making and patient communication, treatment monitoring and health-technology assessment. Patient monitoring using PROMs is constrained by recall and non-response bias, respondent burden and missing data. We evaluated the potential of behavioural digital biomarkers obtained from a wearable accelerometer to achieve personalised predictions of PROMs.

METHODS:

Data from the multicenter, prospective SafeHeart study conducted at Amsterdam University Medical Center in the Netherlands and Copenhagen University Hospital, Rigshospitalet in Copenhagen, Denmark, was used. The study enrolled patients with an implantable cardioverter defibrillator (ICD) between May 2021 and September 2022 who then wore wearable devices with raw acceleration output to capture digital biomarkers reflecting physical behaviour. To collect PROMs, patients received the KCCQ and EQ5D-5 L questionnaire at two instances; baseline and after 6 months. Multivariable Tobit regression models were used to explore associations between digital biomarkers and PROMs, specifically whether digital biomarkers could enable PROM prediction.

RESULTS:

The study population consisted of 303 patients (mean age 62.9 ± 10.9 years, 81.2% male). Digital biomarkers showed significant correlations to patient-reported physical and social limitations, severity and frequency of symptoms and quality of life. Prospective validation of the Tobit models indicated moderate correlations between the observed and predicted scores for KCCQ (concordance correlation coefficient (CCC) = 0.49, mean difference 1.07 points) and EQ5D-5 L (CCC = 0.38, mean difference 0.02 points).

CONCLUSION:

Wearable digital biomarkers correlate with PROMs, and may be leveraged for real-time prediction. These findings hold promise for monitoring of PROMs through wearable accelerometers.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur Heart J Qual Care Clin Outcomes Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur Heart J Qual Care Clin Outcomes Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos