Arthroplasty, Replacement, KneeNCT05992064
Wearable Sensors for Monitoring Recovery After Total Knee Arthroplasty
An observational study of Arthroplasty, Replacement, Knee, run by Aalborg University Hospital at 1 site in Denmark.
Trial summary
The goal of this observational study is to investigate the potential of wearable sensors for monitoring the postoperative recovery of patients after TKA. The main question the study aims to answer is: whether alterations in gait characteristics and the changes in PA levels measured by wearable PA trackers can… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Arthroplasty, Replacement, Knee
- What is being tested?
- Measuring gait
- How many people
- 30 participants
- Where
- 1 siteDenmark
- Study dates
- 12 Mar 2024to 1 Oct 2026
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: All eligible patients who are scheduled for TKA from a certain date onwards will be screened and offered participation in the study.
Who may be able to join
- Patients diagnosed with knee OA and scheduled to undergo unilateral TKA at Aalborg University Hospital, Farsø.
Who cannot join
- Daily pain (numeric rating scale (NRS) ≥ 4) or severe OA in the contralateral knee (KL-IV)
- Daily pain (NRS ≥ 4) or severe OA in the spine and other lower limb joints
- BMI > 35 kg/m2
- Recent surgery in the spine or lower limbs (< 6 months)
- Neurological movement disorders
- Inflammatory arthritis
Show all 12Show fewer
- Patients who are not smartphone users
- Frail patients with clinical frailty scale (CFS)10 ≥ 5
- Residents of nursing homes
- Patients dependent to walking aids for ambulation
- Patients with dementia or memory problems
- Patients with skin sensitivity or issues at the location of the plasters.
Trial locations and contacts
1 site in 1 country.
Denmark1 site, 1 recruiting
- Recruiting
Regionshospital Nordjylland, Frederikshavn
Frederikshavn, North Denmark, 9900
Andreas Kappel, MD, PhD, 20604629 ext. +45, andreas.kappel@rn.dk
About this study
Official title: Investigating the Potential of Wearable Sensors for Monitoring the Postoperative Recovery of Total Knee Arthroplasty Patients: A Protocol for Prospective Longitudinal Observational Study
The goal of this observational study is to investigate the potential of wearable sensors for monitoring the postoperative recovery of patients after TKA.
The main question the study aims to answer is:
- whether alterations in gait characteristics and the changes in PA levels measured by wearable PA trackers can accurately reflect a patient's postoperative recovery status and provide clinically relevant information to aid their management.
Participants will wear PA trackers during the perioperative period of TKA (2 weeks before until 3 months after, and then agin for 2 weeks one year after the surgery) and we will analyze their gait and PA and correlate them with their recovery after surgery.
Read the detailed description
Introduction
Total knee arthroplasty (TKA) is a common surgical intervention for end-stage knee osteoarthritis (OA) patients who have failed conservative treatments. However, despite advances in surgical techniques and postoperative care, some patients experience complications and delayed recovery, leading to increased healthcare costs and worse clinical outcomes. Therefore, monitoring the postoperative recovery of TKA patients is critical for improving the outcomes and reducing healthcare costs.
Currently, various approaches assess patients' postoperative progress following TKA, including patient- and clinician-reported outcomes, as well as radiographic imaging. However, these methods are typically conducted at limited time intervals, and their objectivity is frequently questioned due to the potential for variability. The physical activity (PA) of patients, particularly walking as the primary form of PA, has proven to be a reliable indicator of their overall health and functionality. Abnormalities in walking patterns or reduced levels of physical activity can indicate decreased compliance, pain, or the occurrence of adverse events. Early diagnosis and treatment are crucial in mitigating the potential consequences of these adverse events, such as pulmonary embolism (PE), deep vein thrombosis (DVT), infection, and others.
In recent years, wearable sensors, such as PA trackers, have emerged as a promising tool for monitoring postoperative recovery. These sensors can continuously and objectively monitor a patient's PA levels and provide data that can be used to track the patients' recovery progress based on their daily activities. Furthermore, studies have demonstrated that patients are able to comply with the use of wearable sensors during the postoperative period after orthopedic surgeries. The investigators have demonstrated the patients' compliance with using the same sensors in a separate study. However, despite the potential benefits of wearable sensors for monitoring TKA recovery, several uncertainties remain. One key issue is whether changes in PA levels and gait alterations detected by wearable sensors can provide a reliable indicator of a patient's postoperative recovery status. Moreover, it is currently unclear whether the data collected from these sensors can yield clinically meaningful information that can effectively aid in managing TKA patients. Further research is needed to address these questions and establish the potential value of wearable sensors in the context of monitoring recovery after TKA.
Therefore, this study aims to investigate the potential of wearable sensors, specifically PA trackers, for monitoring the postoperative recovery of patients after TKA. Our study will recruit patients with knee OA scheduled to undergo TKA and monitor them continuously for three months after surgery using PA trackers. By analyzing the data collected from these trackers, the investigators aim to determine whether alterations in gait characteristics and the changes in PA levels measured by wearable PA trackers can accurately reflect a patient's postoperative recovery status and provide clinically relevant information to aid their management. In addition, in the study the investigators will measure PA and gait accelerations one year after TKA to evaluate the final outcome of the surgery once the recovery period is complete.
Methods
The investigators will use PA trackers to monitor the participants' PA levels. The PA trackers are previously validated sensors (SENS Motion®) designed for monitoring PA in health care and comprise accelerometers. Plasters on the lateral distal thigh will attach the sensors and measure 3D linear accelerations of lower limbs. The linear accelerations will be translated into the amount of PA and the number of steps taken per day by the SENS Motion algorithm.
The investigators will monitor the participants 24/7 using PA trackers from two weeks before surgery until three months after surgery. A two-weeks follow-up measurement will also be performed 12 months after surgery. The study will consist of three data collection periods: pre-op (two weeks), post-op (three months), and 12-months follow-up (two weeks).
- Enrollment (Baseline visit)
- At least two weeks before the surgery, patients will be enrolled in the study and given detailed information about the protocol. Informed consent will be obtained, and basic patient information, including their civil registration number, age, sex, comorbidities, surgical history, height, weight, and lower limb lengths, will be collected. In addition, patients will be given knee injury and osteoarthritis outcome score (KOOS) and European Quality of Life 5 Dimensions 3 Level Version (EQ-5D-3L) questionnaires to complete. The investigators will also evaluate the patients' frailty level using CFS. All data will be recorded in a REDCap database hosted by region of North Jutland, Denmark.
- The location of the sensors on the distal thigh of the affected knee will be marked, and a PA tracker (SENS Motion) will be attached to the specified location. Patients will then be asked to walk at a self-selected speed for about two minutes to register a template for their walking pattern. The SENS app will be installed on the patients' smartphones. Next, the patients will be instructed on transferring data from sensors' internal memory to the SENS cloud system, changing the adhesives, and attaching the sensor to the exact location specified by the markers. Patients will be provided enough plasters and a marker pen, and instructional material will guide them through the process. Participants will be instructed to wear the devices at all times, even when showering or swimming.
- Pre-op period
- The PA tracker will continuously record the patients' PA levels and lower limb accelerations. The collected data will be transferred daily from the PA tracker to the SENS cloud system.
- To ensure the accuracy and completeness of the data, the investigators will monitor the data transfer process. Specifically, the data collected by the PA tracker will be transferred from the SENS cloud system to the Q-drive every week. If a participant fails to transfer their data within 72 hours, they will be contacted to remind them to do so.
- All data collected during pre-op will be used to establish the participants' baseline PA levels. This information will be used as a reference point to assess changes in PA levels and lower limb accelerations after surgery and during the follow-up period.
- Operation day
- On the day of the operation, the operation nurse will remove the sensors before surgery and reattach them in the exact location following the procedure. The patient's records will be reviewed to obtain information on the type and duration of surgery, as well as any complications that may have occurred. The data will be recorded in a REDCap database.
- Post-op Period
- After surgery, participants will be instructed to wear the tracker continuously for three months. During the postoperative period, the investigators will closely monitor patients' PA levels. Patients who fail to transfer sensor data within 72 hours will be contacted to ensure continuous data collection. The sensor data will be transferred weekly from the SENS cloud system to Q-drive. The investigators will also administer weekly EQ-5D-3L questionnaires and monthly KOOS questionnaires to assess patients' health status and knee function through the REDCap platform.
- After three months, the sensors will be turned off and returned to the hospital. The investigators will extract relevant information from patients' records to identify possible complications and classify them based on the standardized list and definitions of the Knee Society 14.
- 12-months follow up
- The follow-up period will consist of an additional two weeks of data collection one year after surgery, during which participants will continue to wear the tracker to assess the changes in PA levels and lower limb accelerations.
- At the 12-month follow-up, patients will be invited to participate in the follow-up part of the study, and if they consent, they will receive sensors to wear continuously for 14 days. Data will be collected continuously during this period, and KOOS and EQ-5D-3L questionnaires will be administered through REDCap. In addition, the patients' journals will be reviewed for any potential complications.
- Once the 14-day period is complete, the sensors will be deactivated and returned to the hospital.
- Conditions
- Arthroplasty, Replacement, Knee
- Being tested
- Measuring gait
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Measuring gaitOther
Also called Measuring PA levels
Measurements are performed by PA trackers. The measurements include:
- Lower limb 3D linear accelerations according to gait bouts collected and stored as time-series of linear accelerations with a frequency of 12.5 Hz.
- Details on the amount of time spent lying down, sitting, and standing, as well as the number of steps and sit-to-stands completed throughout the day. This information will be stored in 15-minute epochs and then summarized into daily summaries for analysis.
What is being measured
The primary outcome is the main question the study is designed to answer.
The postoperative daily changes from the baseline (preoperative) Fourier coefficients of walking acceleration signals until 3 months after total knee arthroplasty
3D lower limb accelerations corresponding to walking bouts will be extracted and transformed by Fast Fourier Transform. The first five pairs of Fourier coefficients will be used for data analysis.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative changes from the baseline (preoperative) Fourier coefficients of walking acceleration signals at 12 months after total knee arthroplasty
3D lower limb accelerations corresponding to walking bouts will be extracted and transformed by Fast Fourier Transform. The first five pairs of Fourier coefficients will be used for data analysis.
Measured: Two weeks before and 12 months after the surgery
Secondary outcomes (20)
The postoperative daily changes from the baseline (preoperative) cadence until 3 months after total knee arthroplasty
Acceleration data will be analyzed to determine the gait cadence defined as the number of steps taken per minute.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) stance time until 3 months after total knee arthroplasty
Acceleration data will be analyzed to determine the stance time of the gait described as the percentage of the gait cycle time spent on stance phase.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) rest time until 3 months after total knee arthroplasty
Acceleration data will be analyzed to determine the proportion of time the patient spent lying down during each day expressed as the percentage.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) sitting time until 3 months after total knee arthroplasty
Acceleration data will be analyzed to determine the proportion of time the patient spent sitting during each day expressed as the percentage.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) standing time until 3 months after total knee arthroplasty
Acceleration data will be analyzed to determine the proportion of time the patient spent standing during each day expressed as the percentage.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) walking time until 3 months after total knee arthroplasty
Acceleration data will be analyzed to determine the proportion of time the patient spent walking during each day expressed as the percentage.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) step counts until 3 months after total knee arthroplasty
Acceleration data will be analyzed to determine the number of steps the patient takes during each day.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) sit-to-stand counts until 3 months after total knee arthroplasty
Acceleration data will be analyzed to determine the number of sit-to-stands the patient performs during each day.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) activity count index until 3 months after total knee arthroplasty
The activity count index will be calculated by using the variance of the magnitude of the linear accelerations and demonstrates the quantitative level of PA.
Measured: Two weeks before the surgery until three months after the surgery
The postoperative changes from the baseline (preoperative) cadence at 12 months after total knee arthroplasty
Acceleration data will be analyzed to determine the gait cadence defined as the number of steps taken per minute.
Measured: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) stance time at 12 months after total knee arthroplasty
Acceleration data will be analyzed to determine the stance time of the gait described as the percentage of the gait cycle time spent on stance phase.
Measured: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) rest time at 12 months after total knee arthroplasty
Acceleration data will be analyzed to determine the proportion of time the patient spent lying down during each day expressed as the percentage.
Measured: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) sitting time at 12 months after total knee arthroplasty
Acceleration data will be analyzed to determine the proportion of time the patient spent sitting during each day expressed as the percentage.
Measured: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) standing time at 12 months after total knee arthroplasty
Acceleration data will be analyzed to determine the proportion of time the patient spent standing during each day expressed as the percentage.
Measured: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) walking time at 12 months after total knee arthroplasty
Acceleration data will be analyzed to determine the proportion of time the patient spent walking during each day expressed as the percentage.
Measured: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) step counts at 12 months after total knee arthroplasty
Acceleration data will be analyzed to determine the number of steps the patient takes during each day.
Measured: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) sit-to-stand counts at 12 months after total knee arthroplasty
Acceleration data will be analyzed to determine the number of sit-to-stands the patient performs during each day.
Measured: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) activity count index at 12 months after total knee arthroplasty
The activity count index will be calculated by using the variance of the magnitude of the linear accelerations and demonstrates the quantitative level of PA.
Measured: Two weeks before and 12 months after the surgery
The change in Knee injury and Osteoarthritis Outcome Score (KOOS)
The KOOS questionnaire is an instrument to assess the patient's opinion about their knee and associated problems. Only the domains evaluating the pain, symptoms and functions of daily activities will be used.
Measured: Baseline (2 weeks before surgery); and 1 month, 2 months, 3 months, and 12 months after the surgery.
The change in EuroQol-5 Dimensions-3 Levels (EQ-5D-3L) questionnaire
EQ-5D-3L is a generic tool for Patient Reported Outcomes (PRO) measurement that can assess patients' quality of life, irrespective of the disease.
Measured: Baseline (2 weeks before surgery); and 1 month, 2 months, 3 months, and 12 months after the surgery.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Aug 2023
- Study start12 Mar 2024
- Primary completion1 Feb 2026 (estimated)
- Study completion1 Oct 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (15)Papers the sponsor has linked to this study.
- Other trials for Arthroplasty, Replacement, KneeStudies of the same condition, open and under way.
- More trials run by Aalborg University HospitalThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 30 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Aalborg University Hospital
- Sponsor type
- University, hospital or other
- Collaborators
- Aalborg University
- Responsible party
- Principal investigator, Ole Rahbek, Aalborg University Hospital
- Investigators
- Ole Rahbek, MD, PhD, Principal investigator, Aalborg University Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05992064
- Sponsor's protocol ID
- F2022-196
- Status last verified
- Jul 2024
- First submitted
- 13 Jul 2023
- Last updated
- 10 Apr 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Steinhaus ME, Christ AB, Cross MB. Total Knee Arthroplasty for Knee Osteoarthritis: Support for a Foregone Conclusion? HSS J. 2017 Jul;13(2):207-210. doi: 10.1007/s11420-017-9558-4. Epub 2017 May 16.
PubMed 28690473Feng JE, Novikov D, Anoushiravani AA, Schwarzkopf R. Total knee arthroplasty: improving outcomes with a multidisciplinary approach. J Multidiscip Healthc. 2018 Jan 25;11:63-73. doi: 10.2147/JMDH.S140550. eCollection 2018.
PubMed 29416347Bolam SM, Batinica B, Yeung TC, Weaver S, Cantamessa A, Vanderboor TC, Yeung S, Munro JT, Fernandez JW, Besier TF, Monk AP. Remote Patient Monitoring with Wearable Sensors Following Knee Arthroplasty. Sensors (Basel). 2021 Jul 29;21(15):5143. doi: 10.3390/s21155143.
PubMed 34372377Tiwari V, Lee J, Sharma G, Kang YG, Kim TK. Temporal patterns of commonly used clinical outcome scales during a 5-year period after total knee arthroplasty. J Orthop Traumatol. 2019 Mar 25;20(1):16. doi: 10.1186/s10195-019-0520-8.
PubMed 30911852Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ. 2006 Mar 14;174(6):801-9. doi: 10.1503/cmaj.051351.
PubMed 16534088Gordon R, Bloxham S. A Systematic Review of the Effects of Exercise and Physical Activity on Non-Specific Chronic Low Back Pain. Healthcare (Basel). 2016 Apr 25;4(2):22. doi: 10.3390/healthcare4020022.
PubMed 27417610Carson JL, Kelley MA, Duff A, Weg JG, Fulkerson WJ, Palevsky HI, Schwartz JS, Thompson BT, Popovich J Jr, Hobbins TE, et al. The clinical course of pulmonary embolism. N Engl J Med. 1992 May 7;326(19):1240-5. doi: 10.1056/NEJM199205073261902.
PubMed 1560799Iovanel G, Ayers D, Zheng H. The Role of Wearable Technology in Measuring and Supporting Patient Outcomes Following Total Joint Replacement: Review of the Literature. JMIR Perioper Med. 2023 Jan 12;6:e39396. doi: 10.2196/39396.
PubMed 36633891Sliepen M, Lipperts M, Tjur M, Mechlenburg I. Use of accelerometer-based activity monitoring in orthopaedics: benefits, impact and practical considerations. EFORT Open Rev. 2020 Jan 28;4(12):678-685. doi: 10.1302/2058-5241.4.180041. eCollection 2019 Dec.
PubMed 32010456Mendiratta P, Schoo C, Latif R. Clinical Frailty Scale. 2023 Apr 23. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2026 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK559009/
PubMed 32644435Ghaffari A, Rahbek O, Lauritsen REK, Kappel A, Kold S, Rasmussen J. Criterion Validity of Linear Accelerations Measured with Low-Sampling-Frequency Accelerometers during Overground Walking in Elderly Patients with Knee Osteoarthritis. Sensors (Basel). 2022 Jul 15;22(14):5289. doi: 10.3390/s22145289.
PubMed 35890969Roos EM, Roos HP, Lohmander LS, Ekdahl C, Beynnon BD. Knee Injury and Osteoarthritis Outcome Score (KOOS)--development of a self-administered outcome measure. J Orthop Sports Phys Ther. 1998 Aug;28(2):88-96. doi: 10.2519/jospt.1998.28.2.88.
PubMed 9699158Rabin R, de Charro F. EQ-5D: a measure of health status from the EuroQol Group. Ann Med. 2001 Jul;33(5):337-43. doi: 10.3109/07853890109002087.
PubMed 11491192Healy WL, Della Valle CJ, Iorio R, Berend KR, Cushner FD, Dalury DF, Lonner JH. Complications of total knee arthroplasty: standardized list and definitions of the Knee Society. Clin Orthop Relat Res. 2013 Jan;471(1):215-20. doi: 10.1007/s11999-012-2489-y.
PubMed 22810157Ghaffari A, Clasen PD, Kappel A, Rasmussen J, Gurchiek RD, Kold S, Rahbek O. Monitoring Gait Recovery After Total Knee Arthroplasty Using Wearable Sensors: Responsiveness of Gait Accelerations. J Orthop Res. 2025 Dec;43(12):2165-2177. doi: 10.1002/jor.70058. Epub 2025 Sep 10.
PubMed 40931323
Study at a glance
From the registry record, last updated by the sponsor on 10 Apr 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Investigating the Potential of Wearable Sensors for Monitoring the Postoperative Recovery of Total Knee Arthroplasty Patients: A Protocol for Prospective Longitudinal Observational Study
- ClinicalTrials.gov ID
- NCT05992064
- Acronym / sponsor ID
- F2022-196
- Conditions
- Arthroplasty, Replacement, Knee
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 30 participants (estimated)
- Lead sponsor
- Aalborg University HospitalUniversity, hospital or other
- Collaborators
- Aalborg University
- Study start
- 12 Mar 2024 (actual)
- Primary completion
- 1 Feb 2026 (estimated)
- Study completion
- 1 Oct 2026 (estimated)
- First posted
- 15 Aug 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The goal of this observational study is to investigate the potential of wearable sensors for monitoring the postoperative recovery of patients after TKA.
The main question the study aims to answer is:
- whether alterations in gait characteristics and the changes in PA levels measured by wearable PA trackers can accurately reflect a patient's postoperative recovery status and provide clinically relevant information to aid their management.
Participants will wear PA trackers during the perioperative period of TKA (2 weeks before until 3 months after, and then agin for 2 weeks one year after the surgery) and we will analyze their gait and PA and correlate them with their recovery after surgery.
Detailed description
Introduction
Total knee arthroplasty (TKA) is a common surgical intervention for end-stage knee osteoarthritis (OA) patients who have failed conservative treatments. However, despite advances in surgical techniques and postoperative care, some patients experience complications and delayed recovery, leading to increased healthcare costs and worse clinical outcomes. Therefore, monitoring the postoperative recovery of TKA patients is critical for improving the outcomes and reducing healthcare costs.
Currently, various approaches assess patients' postoperative progress following TKA, including patient- and clinician-reported outcomes, as well as radiographic imaging. However, these methods are typically conducted at limited time intervals, and their objectivity is frequently questioned due to the potential for variability. The physical activity (PA) of patients, particularly walking as the primary form of PA, has proven to be a reliable indicator of their overall health and functionality. Abnormalities in walking patterns or reduced levels of physical activity can indicate decreased compliance, pain, or the occurrence of adverse events. Early diagnosis and treatment are crucial in mitigating the potential consequences of these adverse events, such as pulmonary embolism (PE), deep vein thrombosis (DVT), infection, and others.
In recent years, wearable sensors, such as PA trackers, have emerged as a promising tool for monitoring postoperative recovery. These sensors can continuously and objectively monitor a patient's PA levels and provide data that can be used to track the patients' recovery progress based on their daily activities. Furthermore, studies have demonstrated that patients are able to comply with the use of wearable sensors during the postoperative period after orthopedic surgeries. The investigators have demonstrated the patients' compliance with using the same sensors in a separate study. However, despite the potential benefits of wearable sensors for monitoring TKA recovery, several uncertainties remain. One key issue is whether changes in PA levels and gait alterations detected by wearable sensors can provide a reliable indicator of a patient's postoperative recovery status. Moreover, it is currently unclear whether the data collected from these sensors can yield clinically meaningful information that can effectively aid in managing TKA patients. Further research is needed to address these questions and establish the potential value of wearable sensors in the context of monitoring recovery after TKA.
Therefore, this study aims to investigate the potential of wearable sensors, specifically PA trackers, for monitoring the postoperative recovery of patients after TKA. Our study will recruit patients with knee OA scheduled to undergo TKA and monitor them continuously for three months after surgery using PA trackers. By analyzing the data collected from these trackers, the investigators aim to determine whether alterations in gait characteristics and the changes in PA levels measured by wearable PA trackers can accurately reflect a patient's postoperative recovery status and provide clinically relevant information to aid their management. In addition, in the study the investigators will measure PA and gait accelerations one year after TKA to evaluate the final outcome of the surgery once the recovery period is complete.
Methods
The investigators will use PA trackers to monitor the participants' PA levels. The PA trackers are previously validated sensors (SENS Motion®) designed for monitoring PA in health care and comprise accelerometers. Plasters on the lateral distal thigh will attach the sensors and measure 3D linear accelerations of lower limbs. The linear accelerations will be translated into the amount of PA and the number of steps taken per day by the SENS Motion algorithm.
The investigators will monitor the participants 24/7 using PA trackers from two weeks before surgery until three months after surgery. A two-weeks follow-up measurement will also be performed 12 months after surgery. The study will consist of three data collection periods: pre-op (two weeks), post-op (three months), and 12-months follow-up (two weeks).
- Enrollment (Baseline visit)
- At least two weeks before the surgery, patients will be enrolled in the study and given detailed information about the protocol. Informed consent will be obtained, and basic patient information, including their civil registration number, age, sex, comorbidities, surgical history, height, weight, and lower limb lengths, will be collected. In addition, patients will be given knee injury and osteoarthritis outcome score (KOOS) and European Quality of Life 5 Dimensions 3 Level Version (EQ-5D-3L) questionnaires to complete. The investigators will also evaluate the patients' frailty level using CFS. All data will be recorded in a REDCap database hosted by region of North Jutland, Denmark.
- The location of the sensors on the distal thigh of the affected knee will be marked, and a PA tracker (SENS Motion) will be attached to the specified location. Patients will then be asked to walk at a self-selected speed for about two minutes to register a template for their walking pattern. The SENS app will be installed on the patients' smartphones. Next, the patients will be instructed on transferring data from sensors' internal memory to the SENS cloud system, changing the adhesives, and attaching the sensor to the exact location specified by the markers. Patients will be provided enough plasters and a marker pen, and instructional material will guide them through the process. Participants will be instructed to wear the devices at all times, even when showering or swimming.
- Pre-op period
- The PA tracker will continuously record the patients' PA levels and lower limb accelerations. The collected data will be transferred daily from the PA tracker to the SENS cloud system.
- To ensure the accuracy and completeness of the data, the investigators will monitor the data transfer process. Specifically, the data collected by the PA tracker will be transferred from the SENS cloud system to the Q-drive every week. If a participant fails to transfer their data within 72 hours, they will be contacted to remind them to do so.
- All data collected during pre-op will be used to establish the participants' baseline PA levels. This information will be used as a reference point to assess changes in PA levels and lower limb accelerations after surgery and during the follow-up period.
- Operation day
- On the day of the operation, the operation nurse will remove the sensors before surgery and reattach them in the exact location following the procedure. The patient's records will be reviewed to obtain information on the type and duration of surgery, as well as any complications that may have occurred. The data will be recorded in a REDCap database.
- Post-op Period
- After surgery, participants will be instructed to wear the tracker continuously for three months. During the postoperative period, the investigators will closely monitor patients' PA levels. Patients who fail to transfer sensor data within 72 hours will be contacted to ensure continuous data collection. The sensor data will be transferred weekly from the SENS cloud system to Q-drive. The investigators will also administer weekly EQ-5D-3L questionnaires and monthly KOOS questionnaires to assess patients' health status and knee function through the REDCap platform.
- After three months, the sensors will be turned off and returned to the hospital. The investigators will extract relevant information from patients' records to identify possible complications and classify them based on the standardized list and definitions of the Knee Society 14.
- 12-months follow up
- The follow-up period will consist of an additional two weeks of data collection one year after surgery, during which participants will continue to wear the tracker to assess the changes in PA levels and lower limb accelerations.
- At the 12-month follow-up, patients will be invited to participate in the follow-up part of the study, and if they consent, they will receive sensors to wear continuously for 14 days. Data will be collected continuously during this period, and KOOS and EQ-5D-3L questionnaires will be administered through REDCap. In addition, the patients' journals will be reviewed for any potential complications.
- Once the 14-day period is complete, the sensors will be deactivated and returned to the hospital.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- All eligible patients who are scheduled for TKA from a certain date onwards will be screened and offered participation in the study.
Key inclusion criteria (1 listed)
- Patients diagnosed with knee OA and scheduled to undergo unilateral TKA at Aalborg University Hospital, Farsø.
Key exclusion criteria (12 listed)
- Daily pain (numeric rating scale (NRS) ≥ 4) or severe OA in the contralateral knee (KL-IV)
- Daily pain (NRS ≥ 4) or severe OA in the spine and other lower limb joints
- BMI > 35 kg/m2
- Recent surgery in the spine or lower limbs (< 6 months)
- Neurological movement disorders
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Measuring gaitAlso: Measuring PA levelsMeasurements are performed by PA trackers. The measurements include: * Lower limb 3D linear accelerations according to gait bouts collected and stored as time-series of linear accelerations with a frequency of 12.5 Hz. * Details on the amount of time spent lying down, sitting, and standing, as well as the number of steps and sit-to-stands completed throughout the day. This information will be stored in 15-minute epochs and then summarized into daily summaries for analysis. | Other | – |
Primary outcome
The postoperative daily changes from the baseline (preoperative) Fourier coefficients of walking acceleration signals until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
3D lower limb accelerations corresponding to walking bouts will be extracted and transformed by Fast Fourier Transform. The first five pairs of Fourier coefficients will be used for data analysis.
The postoperative changes from the baseline (preoperative) Fourier coefficients of walking acceleration signals at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
3D lower limb accelerations corresponding to walking bouts will be extracted and transformed by Fast Fourier Transform. The first five pairs of Fourier coefficients will be used for data analysis.
20 secondary outcomes
The postoperative daily changes from the baseline (preoperative) cadence until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) stance time until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) rest time until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) sitting time until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) standing time until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) walking time until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) step counts until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) sit-to-stand counts until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative daily changes from the baseline (preoperative) activity count index until 3 months after total knee arthroplasty
Time frame: Two weeks before the surgery until three months after the surgery
The postoperative changes from the baseline (preoperative) cadence at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) stance time at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) rest time at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) sitting time at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) standing time at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) walking time at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) step counts at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) sit-to-stand counts at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The postoperative changes from the baseline (preoperative) activity count index at 12 months after total knee arthroplasty
Time frame: Two weeks before and 12 months after the surgery
The change in Knee injury and Osteoarthritis Outcome Score (KOOS)
Time frame: Baseline (2 weeks before surgery); and 1 month, 2 months, 3 months, and 12 months after the surgery.
The change in EuroQol-5 Dimensions-3 Levels (EQ-5D-3L) questionnaire
Time frame: Baseline (2 weeks before surgery); and 1 month, 2 months, 3 months, and 12 months after the surgery.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 10 Apr 2025.
- Background: PubMed 28690473Steinhaus ME, Christ AB, Cross MB. Total Knee Arthroplasty for Knee Osteoarthritis: Support for a Foregone Conclusion? HSS J. 2017 Jul;13(2):207-210. doi: 10.1007/s11420-017-9558-4. Epub 2017 May 16.
- Background: PubMed 29416347Feng JE, Novikov D, Anoushiravani AA, Schwarzkopf R. Total knee arthroplasty: improving outcomes with a multidisciplinary approach. J Multidiscip Healthc. 2018 Jan 25;11:63-73. doi: 10.2147/JMDH.S140550. eCollection 2018.
- Background: PubMed 34372377Bolam SM, Batinica B, Yeung TC, Weaver S, Cantamessa A, Vanderboor TC, Yeung S, Munro JT, Fernandez JW, Besier TF, Monk AP. Remote Patient Monitoring with Wearable Sensors Following Knee Arthroplasty. Sensors (Basel). 2021 Jul 29;21(15):5143. doi: 10.3390/s21155143.
- Background: PubMed 30911852Tiwari V, Lee J, Sharma G, Kang YG, Kim TK. Temporal patterns of commonly used clinical outcome scales during a 5-year period after total knee arthroplasty. J Orthop Traumatol. 2019 Mar 25;20(1):16. doi: 10.1186/s10195-019-0520-8.
- Background: PubMed 16534088Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ. 2006 Mar 14;174(6):801-9. doi: 10.1503/cmaj.051351.
- Background: PubMed 27417610Gordon R, Bloxham S. A Systematic Review of the Effects of Exercise and Physical Activity on Non-Specific Chronic Low Back Pain. Healthcare (Basel). 2016 Apr 25;4(2):22. doi: 10.3390/healthcare4020022.
- Background: PubMed 1560799Carson JL, Kelley MA, Duff A, Weg JG, Fulkerson WJ, Palevsky HI, Schwartz JS, Thompson BT, Popovich J Jr, Hobbins TE, et al. The clinical course of pulmonary embolism. N Engl J Med. 1992 May 7;326(19):1240-5. doi: 10.1056/NEJM199205073261902.
- Background: PubMed 36633891Iovanel G, Ayers D, Zheng H. The Role of Wearable Technology in Measuring and Supporting Patient Outcomes Following Total Joint Replacement: Review of the Literature. JMIR Perioper Med. 2023 Jan 12;6:e39396. doi: 10.2196/39396.
- Background: PubMed 32010456Sliepen M, Lipperts M, Tjur M, Mechlenburg I. Use of accelerometer-based activity monitoring in orthopaedics: benefits, impact and practical considerations. EFORT Open Rev. 2020 Jan 28;4(12):678-685. doi: 10.1302/2058-5241.4.180041. eCollection 2019 Dec.
- Background: PubMed 32644435Mendiratta P, Schoo C, Latif R. Clinical Frailty Scale. 2023 Apr 23. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2026 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK559009/
- Background: PubMed 35890969Ghaffari A, Rahbek O, Lauritsen REK, Kappel A, Kold S, Rasmussen J. Criterion Validity of Linear Accelerations Measured with Low-Sampling-Frequency Accelerometers during Overground Walking in Elderly Patients with Knee Osteoarthritis. Sensors (Basel). 2022 Jul 15;22(14):5289. doi: 10.3390/s22145289.
- Background: PubMed 9699158Roos EM, Roos HP, Lohmander LS, Ekdahl C, Beynnon BD. Knee Injury and Osteoarthritis Outcome Score (KOOS)--development of a self-administered outcome measure. J Orthop Sports Phys Ther. 1998 Aug;28(2):88-96. doi: 10.2519/jospt.1998.28.2.88.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Ole Rahbek, MD, PhD principal investigator
Aalborg University Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Arthroplasty, Replacement, Knee, run by Aalborg University Hospital at 1 site in Denmark.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 12 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 10 Apr 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Denmark. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Arash Ghaffari, MD (+45-91483966, a.ghaffari@rn.dk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The postoperative daily changes from the baseline (preoperative) Fourier coefficients of walking acceleration signals until 3 months after total knee arthroplasty (time frame: Two weeks before the surgery until three months after the surgery). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05992064, which also lists 15 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 10 Apr 2025.