1. Accuracy of Smartwatch Pulse Oximetry Measurements in Hospitalized Patients With Coronavirus Disease 2019
- Author
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Kevin Rajakariar, MBBS, Paul Buntine, MBBS, Andrew Ghaly, MBBS, Zheng Cheng Zhu, MBBS, Vihangi Abeygunawardana, MD, Sarah Visakhamoorthy, MBBS, Patrick J. Owen, PhD, Shaun Tham, MD, Liam Hackett, MPH, Louise Roberts, PhD, Jithin K. Sajeev, MBBS, PhD, Nicholas Jones, MBBS, and Andrew W. Teh, MBBS, PhD
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Objective: To assess the ability of 2 commercially available smartwatches to accurately detect clinically significant hypoxia in patients hospitalized with coronavirus-19 (COVID-19). Patients and Methods: A prospective multicenter validation study was performed from November 1, 2021, to August 31, 2022, assessing the Apple Watch Series 7 and Withings ScanWatch inbuilt pulse oximetry, against simultaneous ward-based oximetry as the reference standard. Patients hospitalized with active COVID-19 infection not requiring intensive care admission were recruited. Results: A total of 750 smartwatch pulse oximetry measurements and 400 ward oximetry readings were successfully obtained from 200 patients (male 54%, age 66±18 years). For the detection of clinically significant hypoxia, the Apple Watch had a sensitivity and specificity of 34.8% and 97.5%, respectively with a positive predictive value of 78.1% and negative predictive value of 85.6%. The Withings ScanWatch had a sensitivity and specificity of 68.5% and 80.8%, respectively with a positive predictive value of 44.7% and negative predictive value of 91.9%. The overall accuracy was 84.9% for the Apple Watch and 78.5% for the Withings ScanWatch. The Spearman rank correlation coefficients reported a moderate correlation to ward-based photoplethysmography (Apple: rs=0.61; Withings: rs=0.51, both P
- Published
- 2024
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