Regionshospital Nordjylland, Frederikshavn
Frederikshavn, North Denmark, 9900, Denmark
Location status: Recruiting
NCT Number: NCT05992064
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.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Frederikshavn, North Denmark, 9900, Denmark
Location status: Recruiting
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).
A. Enrollment (Baseline visit)
B. Pre-op period
C. Operation day
D. Post-op Period
E. 12-months follow up
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Measurements are performed by PA trackers. The measurements include:
Other names: Measuring PA levels
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.
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.
Time frame: Two weeks before the surgery until three months after the surgery
Acceleration data will be analyzed to determine the gait cadence defined as the number of steps taken per minute.
Time frame: Two weeks before the surgery until three months after the surgery
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.
Time frame: Two weeks before the surgery until three months after the surgery
Acceleration data will be analyzed to determine the proportion of time the patient spent lying down during each day expressed as the percentage.
Time frame: Two weeks before the surgery until three months after the surgery
Acceleration data will be analyzed to determine the proportion of time the patient spent sitting during each day expressed as the percentage.
Time frame: Two weeks before the surgery until three months after the surgery
Acceleration data will be analyzed to determine the proportion of time the patient spent standing during each day expressed as the percentage.
Time frame: Two weeks before the surgery until three months after the surgery
Acceleration data will be analyzed to determine the proportion of time the patient spent walking during each day expressed as the percentage.
Time frame: Two weeks before the surgery until three months after the surgery
Acceleration data will be analyzed to determine the number of steps the patient takes during each day.
Time frame: Two weeks before the surgery until three months after the surgery
Acceleration data will be analyzed to determine the number of sit-to-stands the patient performs during each day.
Time frame: Two weeks before the surgery until three months after the surgery
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.
Time frame: Two weeks before and 12 months after the surgery
Acceleration data will be analyzed to determine the gait cadence defined as the number of steps taken per minute.
Time frame: Two weeks before and 12 months after the surgery
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.
Time frame: Two weeks before and 12 months after the surgery
Acceleration data will be analyzed to determine the proportion of time the patient spent lying down during each day expressed as the percentage.
Time frame: Two weeks before and 12 months after the surgery
Acceleration data will be analyzed to determine the proportion of time the patient spent sitting during each day expressed as the percentage.
Time frame: Two weeks before and 12 months after the surgery
Acceleration data will be analyzed to determine the proportion of time the patient spent standing during each day expressed as the percentage.
Time frame: Two weeks before and 12 months after the surgery
Acceleration data will be analyzed to determine the proportion of time the patient spent walking during each day expressed as the percentage.
Time frame: Two weeks before and 12 months after the surgery
Acceleration data will be analyzed to determine the number of steps the patient takes during each day.
Time frame: Two weeks before and 12 months after the surgery
Acceleration data will be analyzed to determine the number of sit-to-stands the patient performs during each day.
Time frame: Two weeks before and 12 months after the surgery
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.
Time frame: Baseline (2 weeks before surgery); and 1 month, 2 months, 3 months, and 12 months after the surgery.
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.
Time frame: Baseline (2 weeks before surgery); and 1 month, 2 months, 3 months, and 12 months after the surgery.
EQ-5D-3L is a generic tool for Patient Reported Outcomes (PRO) measurement that can assess patients' quality of life, irrespective of the disease.
Contact information is provided by the study sponsor or research team.
Aalborg University Hospital
Other
Investigating the Potential of Wearable Sensors for Monitoring the Postoperative Recovery of Total Knee Arthroplasty Patients: A Protocol for Prospective Longitudinal Observational Study
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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