Monitoring skin temperature at the wrist in hospitalised patients may assist in the detection of infection
Open accessAbstract
Background: Measuring temperature has always been a key observation in the diagnosis of infection. No studies have examined the usefulness of measuring temperature at the wrist to detect infection. Aim: We sought to determine whether a watch measuring wrist temperature could accurately identify patients who are infected. Methods: Prospective cross‐sectional pilot study of temperature monitoring in an unselected patients in a tertiary referral adult nephrology unit. Results: One hundred and four data recording sessions revealed 88 useful data sets, with recording failures in the others. Patients were retrospectively classified as having no infection (Group A, n = 60), clinically diagnosed infection with less than 24 h of treatment with antibiotics (Group B, n = 5), and clinically diagnosed infection with greater than 24 h on antibiotics (Group C, n = 23). There was a significantly higher average maximum temperature in Group B (mean (SEM)) 38°C (0.6) compared with Groups A (36.1°C (0.1)) and C (36.3°C (0.3)). Based on receiver operating characteristics (ROC) a cut‐off temperature of ≥37.5°C gave sensitivity 80% and specificity 98%. Mean electrodermal activity was significantly higher in Groups B and C. Conclusions: ROC of peripheral skin temperature measurements suggest that such a device may identify many patients requiring treatment for infection. This proof of principle study showed value in using a wearable device in the detection of infection and its potential as an early warning or monitoring device.
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Signal quality assessments have been done under more general circumstances, but wearable data quality in the context of epilepsy has not been a widely researched topic so far.
“Signal quality assessments have been done under more general circumstances10,34–37, but wearable data quality in the context of epilepsy has not been a widely researched topic so far8,9,38.”
From Data quality evaluation in wearable monitoring (2022) · cites this paper as [37]
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Data quality evaluation in wearable monitoring
Böttcher, S., Vieluf, S., Bruno, E., Joseph, B., Epitashvili, N., Biondi, A., Zabler, N., Glasstetter, M., Dümpelmann, M., Van Laerhoven, K., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-25949-x · Cited by 91 · see citing works
A Wearable Skin Temperature Monitoring System for Early Detection of Infections
Huan, J., Bernstein, J. S., Difuntorum, P., Masna, N. V. R., Gravenstein, N., Bhunia, S., & Mandal, S. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3131500 · Cited by 27 · see citing works
- Authors
- Holt, S. G., Yo, J. H., Karschimkus, C., Volpato, F., Christov, S., Smith, E. R., Hewitson, T. D., Worth, L. J., & Champion De Crespigny, P.
- Affiliations
- The Royal Melbourne Hospital (AU)
- The University of Melbourne (AU)
- Department of Nephrology The Royal Melbourne Hospital Melbourne Victoria Australia
- Corresponding author
- Holt, Stephen G.
- Venue
- Internal Medicine Journal
- Publisher
- Wiley
- Published
- 2020-05-05
- Volume
- 50
- Issue
- 6
- Pages
- 685-690
- ISSN
- 1444-0903 (ISSN-L)
- 1445-5994
- PMC
- PMC7318648
- OpenAlex
- W2999136835
- Cited by
- 26
- References
- 15
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 5 · 2020: 1
- FWCI
- 2.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Internal Medicine Journal (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion, cc-by-nc-nd)
- Funders
- U.S. Department of Health and Human Services
- Department of Health, State Government of Victoria
- Topics
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Thermal Regulation in Medicine
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Infrared Thermography in Medicine
- Keywords
- infection detection, peripheral skin temperature, electrodermal activity, hospitalized patients, nephrology patients
- MeSH terms
- Adult, Cross-Sectional Studies, Humans, Pilot Projects, Prospective Studies, Retrospective Studies, ROC Curve, Skin Temperature, Wrist
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