Fever Tracking Study
Study Details
Study Description
Brief Summary
The aim of this study is to investigate the feasibility of continuous fever tracking of participants having fever symptoms in a home setting, using a core body temperature (CBT) sensor. CBT as measured by the wearable sensors will be coampared with CBT as measured by ingestible electronc pills (reference).
A secondary research question is, if the CBT behavior of the the participants in a home setting can be compared to previously described CBT profiles in the literature, and if special patterns can be identified.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
Study Design
Outcome Measures
Primary Outcome Measures
- Mean absolute error, bias and standard deviation of the predicted CBT by the wearable CBT sensor compared to the reference temperature method (ingestible electronic pill) [48 hours]
This comparison will be done for each position of the wearable CBT sensor (apical, upper arm and wrist).
Secondary Outcome Measures
- Mean absolute error, mean bias and standard deviation of the predicted CBT sensor compared to the reference temperature method (ingestible electronic pill). [48 hours]
In addition to the primary outcome measure, the heartrate will be used as additional input to perform the CBT prediction of the wearables.
Other Outcome Measures
- Influence of age on the predicted CBT [48 hours]
Age measured in years
- Influence of sex on the predicted CBT [48 hours]
- Influence of weight on the predicted CBT [48 hours]
Weight measured in kg
- Influence of height on the predicten CBT [48 hours]
Height measured in cm
- Influence of skin colour on the predicted CBT [48 hours]
Skin colour measured on the Fitzpatrick Skin Type Scala which classifies skin types from I to VI, depending on the amount of melanin pigment. Type I contains the lowest level of melanin, whereas type VI has the highest level.
- Influence of hairiness on the predicted CBT [48 hours]
Degree of hairiness expressed as mild, moderate and strong
- Influence of food intake on the predicted CBT [48 hours]
The impact of the above mentioned factor on the CBT will be monitored and recorded in a participant diary
- Influence of concomitant medications on the predicted CBT [48 hours]
The impact of the above mentioned factors on the CBT will be monitored and recorded in a participant diary
Eligibility Criteria
Criteria
Inclusion Criteria:
-
Age 18-60 years old
-
Informed consent signed
-
Either:
Acute fever symptoms at inclusion (at least 38.0°C) and Test for COVID-19 at the day of inclusion
- Or: Second shot or booster of mRNA COVD-19 vaccination (Comirnaty® or COVID-19 Vaccine Moderna®) at day of inclusion
Exclusion Criteria:
-
Any participant who, for any reason, is unable to independently consent to participate in the study and/or who is unable to independently follow the study protocol.
-
Any participant with previous surgical procedures in the gastrointestinal tract
-
Inability to swallow pills
-
Any participant of ≤40 kg body weight
-
A scheduled MRI examination in the period from the start of the measurements until seven days after ingestion of the electronic pill.
-
Any participant being pregnant
-
Impairment or disability of the upper extremity likely to have a negative impact on the quality of measurements:
-
Wounds
-
Active venous access
-
Amputations
-
Dialysis shunt
-
Edema
-
Axillary dissection
-
Continuous long-term monitoring of blood pressure
-
Tattoos
-
Known allergy to plastics / latex
-
Language problems
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Universitiy Hospital Basel | Basel | Basel-Stadt | Switzerland | 4031 |
Sponsors and Collaborators
- University Hospital, Basel, Switzerland
- greenTEG AG
Investigators
- Principal Investigator: Jens Eckstein, Prof. Dr., University Hospital, Basel, Switzerland
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- Fever Tracking