Reliability, validity, and minimal detectable change of the Step Test in patients with total knee arthroplasty

Application of sensory and motor training in AIDET communication mode in patients after knee arthroplasty

BACKGROUND

Patients with knee arthroplasty often have problems such as slow recovery of knee function, which may cause negative emotions and affect their postoperative rehabilitation. The application of sensory and motor training in the Acknowledge, Introduce, Duration, Evaluation, Thank You (AIDET) communication mode in patients after knee arthroplasty can provide reference for the selection of postoperative rehabilitation training measures.

AIM

To explore the sensory and motor training effects in AIDET communication mode on knee function recovery and resilience of patients after knee arthroplasty.

METHODS

One hundred patients who underwent knee arthroplasty at our hospital between January 2022 and January 2024 were randomly divided into two groups. The control group (n = 50) received routine rehabilitation training. In the observation group (n = 50), the AIDET communication mode was used to perform sensory and motor training, in addition to routine rehabilitation training. The rehabilitation training was administered for 8 weeks. After surgery, knee function, balance ability, walking ability, proprioception, and resilience were compared between the two groups.

RESULTS

The New York Hospital for Special Surgery knee scores of the observation group at the time of discharge and 8 weeks after intervention were (65.23 ± 6.84, 84.53 ± 5.27), which was higher than those of the control group (61.03 ± 7.15, 74.92 ± 6.52) (P < 0.05). The balance ability of the observation group at the time of discharge and 8 weeks after the intervention was higher than that of the control group, the time of time up to go test was shorter than that of the control group, and proprioceptive function was higher than that of the control group (P < 0.05). The resilience level in the observation group after the intervention was higher than that in the control group (P < 0.05).

CONCLUSION

Sensory and motor training in AIDET communication mode promotes knee function recovery of patients after knee arthroplasty, improves their limb walking ability and balance function, and increases their resilience level.

Reliability, Concurrent Validity, and Minimal Detectable Change of the Hand-Held Dynamometry for the Assessment of Knee Muscle Strength in Patients With Revision Total Knee Arthroplasty

OBJECTIVE

To determine the concurrent validity, reliability, and minimal detectable change (MDC) of the hand-held dynamometry (HHD) for knee strength measurement in patients with revision total knee arthroplasty (r-TKA).

DESIGN

A reliability and validity analysis.

SETTING

Orthopedic and physical therapy services of university hospital.

PARTICIPANTS

The study included 42 patients with r-TKA (N=42).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Knee muscle strength assessments were performed by 2 physiotherapists in 3 different sessions by using HHD. Participants were instructed to exert a maximal force for lasting 5 seconds against HHD. The first examiner performed the strength testing, and after 30-minutes rest, the second examiner performed the same procedure for inter-examiner reliability. One hour after the initial testing, the first examiner reperformed the strength testing for intra-examiner reliability. The correlations of the knee extensors and knee flexors strength with 50-foot walking test and 30-second chair stand test were assessed for concurrent validity.

RESULTS

The inter-examiner reliabilities of knee extensors and flexors strength measurements were 0.97 and 0.95, respectively. The SEM and the minimal detectable changes at 95% confidence level (MDC95) for knee extensors were 10.39 and 28.65 Newton-meters (Nm), and SEM and MDC95 for knee flexors were 8.70 and 23.99 Nm, respectively. The intra-examiner reliabilities of knee extensors and flexors strength measurements were 0.96. SEM and MDC95 for knee extensors were 12.00 and 33.09 Nm, and SEM and MDC95 for knee flexors were 7.78 and 21.45 Nm, respectively. The knee muscle strength showed strong significant correlations with physical performance tests (all, P<.05).

CONCLUSIONS

The HHD is a reliable and valid method for assessment of static knee strength after r-TKA. The HHD can be used to quantify changes in knee strength and also assists the clinicians to determine the effect of rehabilitation programs on muscle strength following r-TKA surgery.

Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A concise systematic review

Physical issues started to receive more attention due to the sedentary lifestyle prevalent in modern culture. The Ten Meter Walk Test allows measuring the person's capacity to walk along 10 m and analyzing the advancement of various medical procedures for ailments, including stroke. This systematic review is related to the use of mobile or wearable devices to measure physical parameters while administering the Ten Meter Walk Test for the analysis of the performance of the test. We applied the PRISMA methodology for searching the papers related to the Ten Meter Walk Test. Natural Language Processing (NLP) algorithms were used to automate the screening process. Various papers published in two decades from multiple scientific databases, including IEEE Xplore, Elsevier, Springer, EMBASE, SCOPUS, Multidisciplinary Digital Publishing Institute (MDPI), and PubMed Central were analyzed, focusing on various diseases, devices, features, and methods. The study reveals that chronometer and accelerometer sensors measuring spatiotemporal features are the most pertinent in the Gait characterization of most diseases. Likewise, all studies emphasized the close relation between the quality of the sensor's data obtained and the system's ultimate accuracy. In other words, calibration procedures are needed because of the body part where the sensor is worn and the type of sensor. In addition, using ambient sensors providing kinematic and kinetic features in conjunction with wearable sensors and consistently acquiring walking signals can enhance the system's performance. The most common weaknesses in the analyzed studies are the sample size and the unavailability of continuous monitoring devices for measuring the Ten Meter Walk Test.