RESUMO
Background: Increased activity level is generally reported to be positively related to improved knee function after knee surgery. However, little research has been conducted into this relationship on an individual patient basis, or the influence of demographic and psychosocial factors such as patient affect-the subjective experience of emotion. Hypothesis: The relationship between postoperative activity level and knee function will vary between patients and will be influenced by the patients' affect and demographic characteristics. Study Design: Cohort study; Level of evidence, 3. Methods: Activity, knee function, demographic, and affect data were collected from patients enrolled in an ongoing trial for the treatment of articular cartilage lesions at preoperative and 2-, 12-, and 15-month postoperative points. Quantile mixed regression modeling was used to determine the patient-to-patient variation in activity level and knee function. Multiple linear regression and partial correlation analyses were performed to determine whether demographic characteristics and patient affect were associated with this variation. Results: A total of 62 patients were included in the study (23 female; 39 male; mean age, 38.3 ± 9.5 years). We found substantial variation between patients in the relationship between activity level and knee function, with most patients (n = 56) demonstrating a positive relation (positive slope), but 6 patients demonstrating a negative relation (negative slope). A negative affect (NA) score was significantly correlated with the slope between activity level and knee function (r S = -0.30; P = .018) and was a significant individual predictor of knee function at 15 months postoperatively (coefficient = -3.5; P = .025). Conclusion: Our results suggest that the relationship between activity level and knee function varies between patients. The patients with a higher NA score were likely to report smaller improvements in knee function with increasing activity levels compared with those with a lower NA score.
RESUMO
BACKGROUND: Autologous chondrocyte implantation (ACI) is used worldwide in the treatment of cartilage defects in the knee. Several demographic and injury-specific risk factors have been identified that can affect the success of ACI treatment. However, the discovery of predictive biomarkers in this field has thus far been overlooked. PURPOSE: To identify potential biomarkers in synovial fluid and plasma that can be used in the preoperative setting to help optimize patient selection for cell-based cartilage repair strategies. STUDY DESIGN: Controlled laboratory study. METHODS: Fifty-four ACI-treated patients were included. Cartilage oligomeric matrix protein (COMP), hyaluronan, soluble CD14 levels, and aggrecanase-1 (ADAMTS-4) activity in synovial fluid and COMP and hyaluronan in plasma were measured. Baseline and postoperative functional outcomes were determined using the patient-reported Lysholm score. To find predictors of postoperative function, linear and logistic regression analyses were performed. The dependent variables were the baseline and postoperative Lysholm score; the independent variables were patient age and body mass index, defect location, defect area, having a bone-on-bone defect, type of defect patch (periosteum or collagen), requirement of an extra procedure, and baseline biomarker levels. RESULTS: The mean baseline Lysholm score was 47.4 ± 17.0, which improved to 64.6 ± 21.7 postoperatively. The activity of ADAMTS-4 in synovial fluid was identified as an independent predictor of the postoperative Lysholm score. Indeed, simply the presence or absence of ADAMTS-4 activity in synovial fluid appeared to be the most important predictive factor. As determined by contingency analysis, when ADAMTS-4 activity was detectable, the odds of being a responder were 3 times smaller than when ADAMTS-4 activity was not detectable. Other predictive factors were the baseline Lysholm score, age at ACI, and defect patch type used. CONCLUSION: The absence of ADAMTS-4 activity in the synovial fluid of joints with cartilage defects may be used in conjunction with known demographic risk factors in the development of an ACI treatment algorithm to help inform the preclinical decision.
Assuntos
Proteína ADAMTS4/metabolismo , Condrócitos/transplante , Articulação do Joelho/cirurgia , Líquido Sinovial/química , Proteína ADAMTS4/sangue , Adolescente , Adulto , Biomarcadores/sangue , Biomarcadores/metabolismo , Colágeno/uso terapêutico , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Periósteo/cirurgia , Transplante Autólogo , Adulto JovemRESUMO
Impaction grafting allows restoration of bone stock in hip revision, but there are reports of massive early subsidence. The aim of this study was to determine prognostic factors for stem and cup migration in a group of 56 consecutive patients followed up from 1 to 5 years. Cup and stem migration was correlated with 13 predictors including stem design, stem positioning, femoral anatomy, patient characteristics, and bone graft density. All migration occurred mainly during the first 3 months after surgery. Stem alignment changed by an average of 4.8 degrees . Fifty percent of the change in stem alignment was explained by four variables: age, femoral diameter, stem design, and density of the graft at the tip of the stem. Stem subsidence averaged 2.7 mm, and cup migration averaged 3.0 mm. None of the predictors explained the wide variation of migration of the cup or distal migration of the stem. It may be necessary to determine implant stability at the time of surgery.