14 research outputs found
Male gender, Charnley class C, and severity of bone defects predict the risk for aseptic loosening in the cup of ABG I hip arthroplasty
<p>Abstract</p> <p>Background</p> <p>We studied which factor could predict aseptic loosening in ABG I hip prosthesis with hydroxyapatite coating. Aseptic loosening and periprosthetic osteolysis are believed to be caused, at least in part, by increased polyethylene (PE) wear rate via particle disease. Based on it, increased PE wear rate should be associated with aseptic loosening regardless of the type of implant.</p> <p>Methods</p> <p>We analyzed data from 155 revisions of ABG I hip prostheses to examine the influence of patient, implant, surgery, and wear related factors on the rate of aseptic loosening at the site of the cup. This was calculated by stepwise logistic regression analysis. The stability of the implant and severity of bone defects were evaluated intraoperatively.</p> <p>Results</p> <p>We found that men (odds ratio, OR = 5.6; <it>p </it>= 0.004), patients with Charnley class C (OR = 6.71; <it>p </it>= 0.013), those having more severe acetabular bone defects (OR = 4 for each degree of severity; <it>p </it>= 0.002), and longer time to revision surgery (OR = 1.51 for each additional year; <it>p </it>= 0.012) had a greater chance of aseptic loosening of the cup. However, aseptic loosening was not directly predicted by polyethylene wear rate in our patients.</p> <p>Conclusion</p> <p>Severity of bone defects predicts the risk for aseptic loosening in ABG I cup. Factors potentially associated with the quality of bone bed and biomechanics of the hip might influence on the risk of aseptic loosening in this implant.</p
Are clinical measures of foot posture and mobility associated with foot kinematics when walking?
Background: There is uncertainty as to which foot posture measures are the most valid in terms of predicting
kinematics of the foot. The aim of this study was to investigate the associations of clinical measures of static foot
posture and mobility with foot kinematics during barefoot walking.
Method: Foot posture and mobility were measured in 97 healthy adults (46 males, 51 females; mean age 24.4 ±
6.2 years). Foot posture was assessed using the 6-item Foot Posture Index (FPI), Arch Index (AI), Normalised Navicular
Height (NNHt) and Normalised Dorsal Arch Height (DAH). Foot mobility was evaluated using the Foot Mobility Magnitude
(FMM) measure. Following this, a five-segment foot model was used to measure tri-planar motion of the rearfoot,
midfoot, medial forefoot, lateral forefoot and hallux. Peak and range of motion variables during load acceptance and
midstance/propulsion phases of gait were extracted for all relative segment to segment motion calculations. Hierarchical
regression analyses were conducted, adjusting for potential confounding variables.
Results: The degree of variance in peak and range of motion kinematic variables that was independently explained by
foot posture measures was as follows: FPI 5 to 22 %, NNHt 6 to 20 %, AI 7 to 13 %, DAH 6 to 8 %, and FMM 8 %. The FPI
was retained as a significant predictor across the most number of kinematic variables. However, the amount of variance
explained by the FPI for individual kinematic variables did not exceed other measures. Overall, static foot posture
measures were more strongly associated with kinematic variables than foot mobility measures and explained more
variation in peak variables compared to range of motion variables.
Conclusions: Foot posture measures can explain only a small amount of variation in foot kinematics. Static foot posture
measures, and in particular the FPI, were more strongly associated with foot kinematics compared with foot mobility
measures. These findings suggest that foot kinematics cannot be accurately inferred from clinical observations of foot
posture alone
Historical aspects and evolution of fenestrated and branched technology
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Risk factors for accelerated polyethylene wear and osteolysis in ABG I total hip arthroplasty
We analysed data from 155 revisions of identical cementless hip prostheses to determine the influence of patient-, implant- and surgery-related factors on the polyethylene wear rate and size of periprosthetic osteolysis (OL). This was calculated by logistic regression analysis. Factors associated with an increased/decreased wear rate included position of the cup relative to Kohler’s line, increase in abduction angle of the cup, traumatic and inflammatory arthritis as a primary diagnosis, and patient height. Severe acetabular bone defects were predicted by an increased wear rate (odds ratio, OR = 5.782 for wear rate above 200 mm3/y), and increased height of the patient (OR = 0.905 per each centimetre). Predictors of severe bone defects in the femur were the increased wear rate (OR = 3.479 for wear rate above 200 mm3/y) and placement of the cup outside of the true acetabulum (OR = 3.292). Variables related to surgical technique were the most predictive of polyethylene wear rate