Vital Signs Monitoring with Wearable Sensors in High-risk Surgical Patients: A Clinical Validation Study

M.J.M. Breteler*, E.J. KleinJan, D.A.J. Dohmen, L.P.H. Leenen, R. van Hillegersberg, J.P. Ruurda, K. van Loon, T.J. Blokhuis, C.J. Kalkman

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

39 Citations (Web of Science)

Abstract

Background:Vital signs are usually recorded once every 8 h in patients at the hospital ward. Early signs of deterioration may therefore be missed. Wireless sensors have been developed that may capture patient deterioration earlier. The objective of this study was to determine whether two wearable patch sensors (SensiumVitals [Sensium Healthcare Ltd., United Kingdom] and HealthPatch [VitalConnect, USA]), a bed-based system (EarlySense [EarlySense Ltd., Israel]), and a patient-worn monitor (Masimo Radius-7 [Masimo Corporation, USA]) can reliably measure heart rate (HR) and respiratory rate (RR) continuously in patients recovering from major surgery.Methods:In an observational method comparison study, HR and RR of high-risk surgical patients admitted to a step-down unit were simultaneously recorded with the devices under test and compared with an intensive care unit-grade monitoring system (XPREZZON [Spacelabs Healthcare, USA]) until transition to the ward. Outcome measures were 95% limits of agreement and bias. Clarke Error Grid analysis was performed to assess the ability to assist with correct treatment decisions. In addition, data loss and duration of data gaps were analyzed.Results:Twenty-five high-risk surgical patients were included. More than 700 h of data were available for analysis. For HR, bias and limits of agreement were 1.0 (-6.3, 8.4), 1.3 (-0.5, 3.3), -1.4 (-5.1, 2.3), and -0.4 (-4.0, 3.1) for SensiumVitals, HealthPatch, EarlySense, and Masimo, respectively. For RR, these values were -0.8 (-7.4, 5.6), 0.4 (-3.9, 4.7), and 0.2 (-4.7, 4.4) respectively. HealthPatch overestimated RR, with a bias of 4.4 (limits: -4.4 to 13.3) breaths/minute. Data loss from wireless transmission varied from 13% (83 of 633 h) to 34% (122 of 360 h) for RR and 6% (47 of 727 h) to 27% (182 of 664 h) for HR.Conclusions:All sensors were highly accurate for HR. For RR, the EarlySense, SensiumVitals sensor, and Masimo Radius-7 were reasonably accurate for RR. The accuracy for RR of the HealthPatch sensor was outside acceptable limits. Trend monitoring with wearable sensors could be valuable to timely detect patient deterioration.
Original languageEnglish
Pages (from-to)424-439
Number of pages16
JournalAnesthesiology
Volume132
Issue number3
DOIs
Publication statusPublished - 1 Mar 2020

Keywords

  • accuracy
  • afferent limb
  • agreement
  • antecedents
  • early recognition
  • failure
  • mortality
  • rapid response teams
  • staff
  • systems
  • MORTALITY
  • AGREEMENT
  • FAILURE
  • ACCURACY
  • STAFF
  • AFFERENT LIMB
  • SYSTEMS
  • ANTECEDENTS
  • RAPID RESPONSE TEAMS
  • EARLY RECOGNITION

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