Patient-specific and intra-operatively modifiable factors assessed by computer navigation predict maximal knee flexion one year after TKA

Lampe, Frank; Marques, Carlos J.; Fiedler, F; Sufi-Siavach, Anusch; Carita, Ana Isabel; Matziolis, Georg

doi:10.1007/s00167-016-4134-x

Cited by 5 publications

(5 citation statements)

References 43 publications

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“…Knee ROM is an important clinical outcome that is related to patients' physical function [24]. There are patient-related and intra-operatively modifiable factors that significantly predict the maximal knee flexion after TKA [25].…”

Section: Discussionmentioning

confidence: 99%

Sensor Positioning Influences the Accuracy of Knee Rom Data of an E-Rehabilitation System: A Preliminary Study with Healthy Subjects

Marques

Bauer

Grimaldo

et al. 2020

Sensors

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E-rehabilitation is the term used to define medical rehabilitation programs that are implemented at home with the use of information and communication technologies. The aim was to test whether sensor position and the sitting position of the patient influence the accuracy of knee range of movement (ROM) data displayed by the BPMpathway e-rehabilitation system. A preliminary study was conducted in a laboratory setting with healthy adults. Knee ROM data was measured with the BPMpathway e-rehabilitation system and simultaneously with a BIOPAC twin-axis digital goniometer. The main outcome was the root mean squared error (RMSE). A 20% increase or reduction in sitting height led to a RMSE increase. A ventral shift of the BPMpathway sensor by 45 • and 90 • caused significant measurement errors. A vertical shift was associated with a diminution of the measurement errors. The lowest RMSE (2.4 • ) was achieved when the sensor was placed below the knee. The knee ROM data measured by the BPMpathway system is comparable to the data of the concurrent system, provided the instructions of the manufacturer are respected concerning the sitting position of the subject for knee exercises, and disregarding the same instructions for sensor positioning, by placing the sensor directly below the knee.

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Section: Discussionmentioning

confidence: 99%

Sensor Positioning Influences the Accuracy of Knee Rom Data of an E-Rehabilitation System: A Preliminary Study with Healthy Subjects

Marques

Bauer

Grimaldo

et al. 2020

Sensors

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“…However, the multivariate analysis of Pua et al did not find BMI to be a predictor of postoperative knee ROM six months postoperatively [52]. In another study of Lampe and colleagues, lower BMI in combination with higher preoperative knee flexion predicted a higher maximal knee flexion one year postoperatively [21].…”

Section: Functional Impairmentmentioning

confidence: 95%

“…The most important reasons for exclusion were inappropriate study design (e.g., retrospective study), inappropriate postoperative outcome (e.g., follow-up <6 months, outcome other than pain, functional disabilities, QoL, or satisfaction), and non-eligible population (patients with rheumatoid arthritis or unicompartimental knee arthroplasty). Of the 49 included studies, two were RCTs [20,21], two case-control studies [22,23] and 45 prospective observational studies (of which two were secondary analyses [61,62]). For each study, the characteristics are presented in Table 2.…”

Section: Study Selection and Characteristicsmentioning

confidence: 99%

“…The overall RoB was low for one study [62], moderate for 10 studies [21,23,29,34,36,38,41,46,52,56], and 38 studies suffered a high RoB [20,22,[24][25][26][27][28][30][31][32][33]35,37,39,40,[42][43][44][45][47][48][49][50][51][53][54][55][57][58][59][60][61][63][64][65][66][67][68]. RoB was mainly due to lack of information about study attrition and confounding factors.…”

Section: Risk Of Bias Assessmentmentioning

confidence: 99%

“…Four studies examined the influence of BMI on knee ROM [21,40,52,68]. Relative change in outcome: One multivariate analysis reported greater knee ROM improvement in patients with higher BMI [68].…”

Section: Functional Impairmentmentioning

confidence: 99%

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Identification of Metabolic Factors and Inflammatory Markers Predictive of Outcome after Total Knee Arthroplasty in Patients with Knee Osteoarthritis: A Systematic Review

Meert

Mertens

Meeus

et al. 2023

IJERPH

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Objective: To identify metabolic factors and inflammatory markers that are predictive of postoperative total knee arthroplasty (TKA) outcome. Method: A systematic search of the existing literature was performed using the electronic databases PubMed, Web of Science and Embase until the 1st of August 2022. Studies that evaluated the influence of metabolic or inflammatory markers (I) on postsurgical outcome (O) in end-stage knee osteoarthritis patients awaiting primary TKA (P) were included in this review. Results: In total, 49 studies were included. Risk of bias of the included studies was low for one study, moderate for 10 studies and high for the remaining 38 studies. Conflicting evidence was found for the influence of body mass index, diabetes, cytokine levels and dyslipidaemia on pain, function, satisfaction and quality of life at more than six months after TKA. Conclusions: Several limitations such as not taking into account known confounding factors, the use of many different outcome measures and a widely varying follow-up period made it challenging to draw firm conclusions and clinical implications. Therefore large-scaled longitudinal studies assessing the predictive value of metabolic and inflammatory factors pre-surgery in addition to the already evidenced risk factors with follow-up of one year after TKA are warranted.

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Normalized gait analysis parameters are closely related to patient-reported outcome measures after total knee arthroplasty

Kirschberg

Goralski

Layher

et al. 2018

Arch Orthop Trauma Surg

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Up till now, only a weak connection could be shown between patient-related outcome measures (PROMs) and measurements obtained by gait analysis (e.g. speed, step length, cadence, ground reaction force, joint moments and ranges of motion) after total knee arthroplasty (TKA). This may result from the methodical problem that regression analyses are performed using data that are not normalized against a healthy population. It does appear reasonable to assume that patients presenting a physiological gait pattern are content with their joint. The more the gait parameters differ from a normal gait pattern the worse the clinical outcome measured by PROMs should be expected to be. In this retrospective study, 40 patients were enrolled who had received a gait analysis after TKA, and whose PROMs had been evaluated. A gender- and age-matched control group was formed out of a group of test persons who had already undergone gait analysis. Gait analysis was undertaken using the motion analysis system 3D Vicon with ten infrared cameras and three strength measuring force plates. The physiological gait analysis parameters were deduced from arithmetic mean values taken from all control patients. The deviances of the operated patients' gait analysis parameters from the arithmetic mean values were squared. From these values, the Pearson correlation coefficients for different PROMs were then calculated, and regression analyses were performed to elucidate the correlation between the different PROMs and gait parameters. In the regression analysis, the normalized cadence, relative gait speed of the non-operated side, and range of the relative knee moment of the operated side could be identified as factors which influence the Forgotten Joint Score (FJS-12). The explanation model showed an increase of the FJS-12 with minimisation of these normalized values corresponding to an approximation of the gait pattern seen in the healthy control group. The connection was strong, having a correlation coefficient of 0.708. A physiological gait pattern after TKA results in better PROMs, especially the FJS-12, than a non-physiological gait pattern does.

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Patient-specific and intra-operatively modifiable factors assessed by computer navigation predict maximal knee flexion one year after TKA

Abstract: Level II, Prognostic study.

Cited by 5 publications

References 43 publications

Sensor Positioning Influences the Accuracy of Knee Rom Data of an E-Rehabilitation System: A Preliminary Study with Healthy Subjects

Sensor Positioning Influences the Accuracy of Knee Rom Data of an E-Rehabilitation System: A Preliminary Study with Healthy Subjects

Identification of Metabolic Factors and Inflammatory Markers Predictive of Outcome after Total Knee Arthroplasty in Patients with Knee Osteoarthritis: A Systematic Review

Normalized gait analysis parameters are closely related to patient-reported outcome measures after total knee arthroplasty

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