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Continuous Monitoring of Physiology and Self-reported Pain Score Amongst Post-surgical Knee Patients

Observation of In-home Continuous Monitoring of Human Physiology and Self-reported Pain Score Among Knee Replacement, Anterior Cruciate Ligament (ACL), Knee Arthroscopy & Foot & Ankle Related Surgery Patients

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03789630
Acronym
ObservePAIN
Enrollment
55
Registered
2018-12-28
Start date
2019-02-02
Completion date
2020-08-17
Last updated
2022-10-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Knee Arthroplasty

Keywords

Knee Replacement, Wearable, Pain Score Quantification

Brief summary

The aim of this observational study is to assess whether patient reported pain levels correlate with a Pain Index derived from deviations in multivariate physiology biomarkers captured in real-world setting. This study will be conducted using a clinical-grade wearable sensor to continuously monitor patient's physiology (pain related biomarkers) and allow subject participant to actively report their pain score, symptoms and quality of life using a mobile-based application.

Detailed description

The designated clinical-grade wearable sensor used in this study is the Biovotion Everion MD (See Annex for product description), a Bluetooth-compatible device that will automatically sync with the mobile application used in this study. This study will recruit 55 patients aged 21 to 80 years who will be undergoing knee replacement, Anterior Cruciate Ligament(ACL), Knee Arthroscopy and Foot & Ankle related surgery. All study participants will be followed for an estimated total of 30 days(+6/-2 days, if visit schedule is fall on weekend), beginning four days before surgery, the entire period as an in-patient (four to five days), and 20-days post-discharge. The changes in multivariate physiological biomarkers will be used to generate a Pain Index, and the Pain Index will be assessed against patient reported Numerical Rating Scale (NRS) pain.

Interventions

DEVICEContinuous physiology monitoring in ambulatory setting pre and post surgery

This study will recruit 55 patients aged 21 to 80 years who will be undergoing total knee replacement surgery. All study participants undergoing total knee replacement surgery will be monitored using the wearable biosensor to continuously monitor physiology biomarkers. Participants will be followed for an estimated total of 39 days, beginning four days before surgery, the entire period during in-patient recovery (four to five days), and 30-days post-discharge at-home.

Sponsors

Biofourmis Singapore Pte Ltd.
Lead SponsorINDUSTRY
Mundipharma Research Limited
CollaboratorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
21 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Men and women aged 21 to 80 years * Patients undergoing knee replacement surgery ( Total Knee Replacement (TKR), Unicompartmental Knee arthroplasty (UKA), Bilateral knee replacemenent, Patello-Femoral-Joint (PFJ) Knee replacement), Anterior Cruciate Ligament(ACL), Knee Arthroscopy and Foot & Ankle related surgery such as bunions, hammer toes, metatarsal, ankle fusion, triple fusion, ankle replacement, achilles tendon & tibialis posterior disorder * Ability to provide informed consent * Able to commit to using the app and inputting data as needed during the study duration * Has access to an iPhone (minimum requirement iPhone 5S)

Exclusion criteria

* Previous myocardial infarction (MI) * Known coronary artery disease - prior coronary revascularization * Previous stroke. Stroke is defined as new focal neurological deficit perspective more than 24 hours. * More than ongoing use of 2 or more anti-hypertensive agents. * Expected life expectancy less than 1 year. * Asthma or chronic lung disease requiring long-term medications or oxygen * Mental illness that in the clinical judgment of the investigator will affect participation in the study e.g. dementia * Inability to comply with the study protocol * Any other acute or chronic medical or physical condition deemed by the investigator to affect study outcomes

Design outcomes

Primary

MeasureTime frameDescription
Pain Correlation (using binary pain classification)30 daysAgreement between patient-reported NRS pain (classified into None-Mild and Moderate-Severe) and Pain Index, measured using Kappa statistic.

Secondary

MeasureTime frameDescription
Pain Correlation in Opioid Medication Subgroup30 daysAgreement between patient-reported NRS pain and Pain Index in patients using opioid medication for post-surgical pain relief, measured using Kappa statistic.
Pain Correlation (3 pain categories)30 daysAgreement between patient-reported NRS pain (classified into None-Mild, Moderate and Severe) and Pain Index, measured using Kappa statistic.

Countries

Singapore

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026