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November 21, 2017Journal of Intensive CareOpen Access

Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study

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Why the study?

Does a wrist-worn personal fitness tracker accurately detect heart rate excursions and sleep quality in stable ICU patients?

Population

50 stable adult ICU patients receiving continuous cardiac and oxygen saturation monitoring but otherwise…

Comparison

Wrist-worn personal fitness tracker worn for a… vs Continuous pulse oximetry pulse rate recordings…

Design

Cohort

Follow-up

24 hours

Authors

RKRyan R. KrollQueen's UniversityEMErica McKenzieUniversity of CalgaryJBJ. Gordon BoydQueen's University

Discussion

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Implication

Wearable tracking may enable detailed post-ICU recovery monitoring; hypothesis-generating and requires prospective validation before clinical adoption.

Structured PICO

Does a wrist-worn personal fitness tracker accurately detect heart rate excursions and sleep quality in stable ICU patients?

P
Population
50 stable adult ICU patients (age > 17) receiving continuous cardiac and oxygen saturation monitoring but otherwise receiving ward-level treatment. Excluded: mechanical ventilation, vasopressor support, continuous sedation/analgesia, MRSA/C.diff contact precautions, and risk of vascular compromise of the arm.
I
Intervention
Wrist-worn personal fitness tracker (Fitbit Charge HR) worn for a single 24-hour period.
C
Comparator
Continuous pulse oximetry pulse rate recordings (SPO2-R) for heart rate comparison, and Richards-Campbell Sleep Questionnaire (RCSQ) for sleep quality comparison.
O
Outcome
Feasibility of device wearability, extent of data capture, sensitivity and specificity for detecting heart rate excursions (tachycardia >100 bpm, bradycardia <50 bpm), and correlations with questionnaire-derived sleep quality measures over a 24-hour period.surrogate

Consumer-grade wearable devices are feasible for monitoring stable ICU patients, providing highly specific but moderately sensitive tachycardia detection and moderate correlation with sleep quality.

Limitations

  • Low prevalence of non-sinus rhythm in the study cohort
  • Low prevalence of delirium in the study cohort
  • Potential failure of data capture interpreted as absence of sleep
  • Differences between internal clocks of the wearables and bedside monitors

Cite This Study

Kroll et al. (2017) studied this question.

synapsesocial.com/papers/6a70cab48031ec7bb1dc94e0https://doi.org/10.1186/s40560-017-0261-9
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Also Consider

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  5. 5Reliability of Sleep Measures from Four Personal Health Monitoring Devices Compared to Research-Based Actigraphy and Polysomnography2016 · 329 citations