Changes in daily measures of blood pressure and heart rate improve weight-based detection of heart failure deterioration in patients on telemonitoring

Rohan Joshi, Illapha Cuba Gyllensten (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Blood pressure (BP) and heart rate (HR) are often captured in conjunction with weight in telemonitoring systems, but the additional prognostic potential of daily measurements of BP and HR in providing information on upcoming hospitalizations for worsening heart failure (HFH) have not been explored thoroughly. We retrospectively analyzed 267 daily home-telemonitored heart failure (HF) subjects. We extracted those episodes of HFHs that had sufficient data entries in the days leading up to hospitalization and tested the prognostic potential of 48 trend features based on weight, systolic BP, diastolic BP, pulse pressure (PP) and HR with a Naïve Bayesian model. The single best-performing trend feature-with a cross-validated estimate of 0.64 for the area under the curve (AUC) with a standard deviation (SD) of 0.01-is based on a 2-day weight trend. The best multivariate feature set (cross-validated AUC=0.70, SD=0.01) comprises of 2-day trend features based on weight, systolic BP, and HR. There were large variations in the weight trends preceding hospitalizations and weight-change alone had a modest predictive ability. Readily interpretable features capturing trends in BP and HR provided additional prognostic information and can be used for improving classification.

LanguageEnglish
Pages1041-1048
JournalIEEE Journal of Biomedical and Health Informatics
Volume23
Issue number3
Early online date18 Jul 2018
DOIs
StatePublished - May 2019

Fingerprint

Blood pressure
Deterioration
Heart Failure
Heart Rate
Blood Pressure
Weights and Measures
Hospitalization
Area Under Curve
Data acquisition

Keywords

  • Biomedical monitoring
  • Blood pressure
  • Decompensation
  • Hafnium
  • Heart Failure
  • Heart rate
  • Market research
  • Telemedicine
  • Weight measurement

Cite this

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title = "Changes in daily measures of blood pressure and heart rate improve weight-based detection of heart failure deterioration in patients on telemonitoring",
abstract = "Blood pressure (BP) and heart rate (HR) are often captured in conjunction with weight in telemonitoring systems, but the additional prognostic potential of daily measurements of BP and HR in providing information on upcoming hospitalizations for worsening heart failure (HFH) have not been explored thoroughly. We retrospectively analyzed 267 daily home-telemonitored heart failure (HF) subjects. We extracted those episodes of HFHs that had sufficient data entries in the days leading up to hospitalization and tested the prognostic potential of 48 trend features based on weight, systolic BP, diastolic BP, pulse pressure (PP) and HR with a Na{\"i}ve Bayesian model. The single best-performing trend feature-with a cross-validated estimate of 0.64 for the area under the curve (AUC) with a standard deviation (SD) of 0.01-is based on a 2-day weight trend. The best multivariate feature set (cross-validated AUC=0.70, SD=0.01) comprises of 2-day trend features based on weight, systolic BP, and HR. There were large variations in the weight trends preceding hospitalizations and weight-change alone had a modest predictive ability. Readily interpretable features capturing trends in BP and HR provided additional prognostic information and can be used for improving classification.",
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Changes in daily measures of blood pressure and heart rate improve weight-based detection of heart failure deterioration in patients on telemonitoring. / Joshi, Rohan; Cuba Gyllensten, Illapha (Corresponding author).

In: IEEE Journal of Biomedical and Health Informatics, Vol. 23, No. 3, 05.2019, p. 1041-1048.

Research output: Contribution to journalArticleAcademicpeer-review

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