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41.
BackgroundThe aim of this multicenter study is to answer (1) Does patellofemoral osteoarthritis (OA) affect preoperative Knee Injury and Osteoarthritis Outcome Score (KOOS) scores in total knee arthroplasty (TKA)? and (2) Do different OA patterns affect preoperative and postoperative KOOS scores in TKA?MethodsThis international, multicenter prospective study examined 384 TKA patients. Compartmental OA was divided into (1) medial, (2) medial + patellofemoral, (3) lateral, (4) lateral + patellofemoral, (5) medial + lateral (bicompartmental), and (6) medial + lateral + patellofemoral (tricompartmental), based on preoperative anterior-posterior and lateral ± skyline radiographs with Kellgren-Lawrence grade III-IV and joint space width <2.5 mm. KOOS was collected preoperatively, 1 year postoperatively, and 3 years postoperatively. Higher KOOS score represented better clinical state, for example, higher KOOS Pain score indicated less pain.ResultsPatellofemoral OA had no effect on preoperative KOOS scores (P > .15). Compared to medial ± patellofemoral OA patients, bicompartmental/tricompartmental OA patients had less preoperative pain (KOOS Pain 7.4, P = .03) and higher daily function (KOOS-ADL [Activities of Daily Living] 7.1, P = .05), and higher 1-year postoperative daily function (KOOS-ADL 9.2, P = .03) and sports activity (KOOS Sports & Recreation Function 15.0, P = .04), while lateral ± patellofemoral OA patients had more symptoms (KOOS-Symptoms 7.0, P < .01), more pain (KOOS-Pain 7.5, P = .01), lower daily function (KOOS-ADL 9.3, P < .01), and lower quality of life (KOOS-QOL 9.0, P = .04), at 3 years postoperatively.ConclusionPatellofemoral OA does not affect medial ± lateral OA patients’ preoperative KOOS scores, challenging the importance of patellofemoral OA in TKA. Lateral ± patellofemoral OA patients have lower postoperative KOOS scores than medial/more progressed compartmental OA patients, indicating that patients with less common OA patterns present with unique surgical challenges. Further development of indications for and correct timing of TKA surgery in different patient subgroups is needed.  相似文献   
42.
There is a lack of knowledge regarding predictive factors for a successful clinical outcome after an anterior cruciate ligament (ACL) reconstruction. The aim was to investigate pre‐operative factors that may predict good outcomes as measured with the subscales Function in sports and recreation and Quality of life in Knee injury Osteoarthrithis Outcome Score (QOL‐KOOS), one‐leg hop test and Tegner Activity Scale 12 months after ACL reconstruction. Sixty‐four patients, operated with either patellar or hamstring tendon graft, were included. Demographics, range of motion, anterior knee laxity, pivot shift, muscle‐torques, anterior knee pain (AKP) and knee function were registered pre‐operatively and used in a multiple regression model. Results show less degree of AKP and low influence on knee function to be the most important predictors for good outcome in Sport/Rec‐KOOS (explained 31% of variances). Less AKP was in addition the most important predictor for QOL‐KOOS (14%). Patellar‐tendon graft, in favor of hamstring tendon graft, explained 8% of the improvement in the Tegner Activity Scale. In conclusion, a low degree of AKP was found to be the most important predictor for good clinical outcome 12 months after ACL reconstruction. Future studies, including psychological parameters, should use analyses that have the potential to control for independency between variables.  相似文献   
43.
BackgroundWe aimed to investigate the application of the Knee Injury and Osteoarthritis Outcome Score (KOOS) percentile curves, using preoperative and postoperative data of patients with knee osteoarthritis undergoing total knee arthroplasty (TKA).MethodsWe used Longitudinal Leiden Orthopedics Outcomes of Osteo-Arthritis study data of patients between 45 and 65 years and undergoing primary TKA. KOOS scores (0-100) were obtained preoperatively and 6, 12, and 24 months after TKA. Preoperative knee radiographs were assessed according to Kellgren-Lawrence (KL) in a subset (37%) of patients. Comorbidities were self-reported using a standardized questionnaire. The median (interquartile range) population-level KOOS scores were plotted on previously developed population-based KOOS percentile curves. In addition, we assessed the application of the curves on patient level and investigated differences in scores between patients with preoperative KL scores ≤2 and ≥3 and presence (vs absence) of comorbidities.ResultsThe study population consisted of 853 patients (62% women, mean age 59 years, body mass index 30 kg/m2) with knee osteoarthritis undergoing primary TKA. Preoperatively, median KOOS scores of all subscales were at or below the 2.5th percentile. Scores increased to approximately the 25th percentile 12 months postoperatively. Greater improvements were observed in pain and less improvements in sport and recreational function and quality of life. Patients with higher preoperative KL scores and without comorbidities showed greater improvements.ConclusionThe KOOS percentile curves provided visual insights in knee complaints of patients relative to the general population. Furthermore, the KOOS percentile curves give insight in how preoperative patient characteristics are correlated with postoperative results.  相似文献   
44.

Background

Patient-reported outcome measures (PROMs) are being used increasingly to determine the success of total knee arthroplasty (TKA). Our goal is to investigate whether advanced age is associated with lower PROM scores.

Methods

We used our hospital’s TKA registry to examine the relationship between age and PROMs in all patients 50-90 years of age who underwent unilateral or simultaneous bilateral primary TKA between 2007 and 2011 with a primary diagnosis of osteoarthritis. All 5 domains of the Knee Injury and Arthritis Outcomes Score (KOOS) and the Lower Extremity Activity Scale (LEAS) at baseline, 2 years, and 5 years were collected. The association between age and PROM score was assessed by piecewise linear regression using generalized estimating equations, adjusting for demographics, comorbidity, and baseline score.

Results

Significant nonlinear relationships among age, KOOS subdomains, and LEAS were found. The placement of the age spline knot was at 70 years for KOOS Symptom and 68 years for KOOS Pain, KOOS Activities of Daily Living (ADL), and LEAS. The KOOS Symptom domain showed a significant worsening between 2-year and 5-year follow-up (P < .05) as patients got older.

Conclusion

We found an age-related decline in KOOS Pain, KOOS Symptom, KOOS ADL, and LEAS scores. The best fitting spline knots were at 68 (KOOS Pain, KOOS ADL, and LEAS) and 70 years (KOOS Symptoms), respectively. This demonstrates that there is a critical age at which functional decline begins regardless of the quality of the TKA surgery. Our findings will help surgeons accurately guide patient expectations after TKA based on age.

Level of Evidence

Level II, prognostic study.  相似文献   
45.
46.
PurposeThe minimal important change (minimal amount of change vs. baseline that a patient recognizes as a clinical change) and minimum clinically important difference (smallest difference between two measurements that are deemed important by patients) are important values to evaluate the clinical relevance of changes over time and differences between groups. This study aims to establish these values for the KOOS-12 at 1 year postoperatively.MethodsKOOS-12 scores were calculated from the full-length KOOS completed by patients undergoing primary TKA preoperatively and at 1 year follow up. Minimal important change (MIC) values were estimated using the anchor-based predictive modeling approach and adjustment for the large proportion of improved patients in the study cohort was performed. The MCID was defined as the difference in the mean change in the KOOS-12 between the ‘no improvement’ and ‘little improvement’ groups.ResultsA total of 352 patients (161 male:191 female) with an overall mean age of 67.9 years (standard deviation (SD) 8.2) and a mean body mass index of 31.4 kg/m2 (SD 6.3) were included: 97.1% of patients reported an important improvement, 1.1% reported being about the same and 1.7% reported being importantly worse. The MIC improvement values were 11.5 for Pain, 13.7 for Function, 5.5 for Quality of Life (QoL) and 14.9 for the total KOOS-12 score. MCID values were 13.5 for Pain, 15.2 for Function, 8.0 for QoL and 11.1 for the total KOOS-12 score.ConclusionMIC of 14.9 and MCID of 11.1 established in this study can assist clinicians and researchers in the interpretation of within-group changes (MIC) and differences between groups (MCID) at 1 year after TKA.  相似文献   
47.
48.

Objective

To assess the validity of diagnostic clusters combining history elements and physical examination tests to diagnose or exclude patellofemoral pain (PFP).

Design

Prospective diagnostic study.

Settings

Orthopedic outpatient clinics, family medicine clinics, and community-dwelling.

Participants

Consecutive patients (N=279) consulting one of the participating orthopedic surgeons (n=3) or sport medicine physicians (n=2) for any knee complaint.

Interventions

Not applicable.

Main Outcome Measures

History elements and physical examination tests were obtained by a trained physiotherapist blinded to the reference standard: a composite diagnosis including both physical examination tests and imaging results interpretation performed by an expert physician. Penalized logistic regression (least absolute shrinkage and selection operator) was used to identify history elements and physical examination tests associated with the diagnosis of PFP, and recursive partitioning was used to develop diagnostic clusters. Diagnostic accuracy measures including sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios with associated 95% confidence intervals (CIs) were calculated.

Results

Two hundred seventy-nine participants were evaluated, and 75 had a diagnosis of PFP (26.9%). Different combinations of history elements and physical examination tests including the age of participants, knee pain location, difficulty descending stairs, patellar facet palpation, and passive knee extension range of motion were associated with a diagnosis of PFP and used in clusters to accurately discriminate between individuals with PFP and individuals without PFP. Two diagnostic clusters developed to confirm the presence of PFP yielded a positive likelihood ratio of 8.7 (95% CI, 5.2–14.6) and 3 clusters to exclude PFP yielded a negative likelihood ratio of .12 (95% CI, .06–.27).

Conclusions

Diagnostic clusters combining common history elements and physical examination tests that can accurately diagnose or exclude PFP compared to various knee disorders were developed. External validation is required before clinical use.  相似文献   
49.

Objectives

To determine the prevalence of a 1- to 2-year postsurgical pain-free state and pain plus symptom-free state as well as functional restoration after knee arthroplasty (KA) and to identify predictors of these outcomes.

Design

Cohort study.

Setting

Communities of 4 sites.

Participants

Consecutive participants (N=383) who underwent KA on at least 1 knee during the first 8 years of the study (mean age, 67.95±8.5y; 61.4% women; n=235).

Interventions

Not applicable.

Main Outcome Measures

A composite pain score included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) Pain scale and 2 generic pain rating scales. Composite pain plus other symptoms scores included 3 pain scales, a stiffness scale, and, in addition, the Knee injury and Osteoarthritis Outcome Score Symptoms scale. The WOMAC Function scale was used to quantify functional status. Prevalence estimates and predictors of a pain-free state, symptom-free state, and a fully functioning state were determined.

Results

A sample of 383 participants with KA was studied, and of these, 34.1% (95% confidence interval [CI], 29.3%–39.2%; n=131) had a composite score of 0 for pain. A total of 14.1% (95% CI, 10.8%–18.1%; n=54) had a composite score of 0, indicating a symptom-free state, whereas 29.0% (95% CI, 24.4%–34.0%; n=111) achieved a score of 0 on the WOMAC Function scale.

Conclusions

The prevalence of complete pain relief was 34%, the prevalence of complete pain and symptom relief was 14%, and the prevalence of complete functional restoration was 29% after KA. Participants who are older and with lower (better) WOMAC Pain scores were more likely to be pain-free after surgery. These data collected from a community-based sample have the potential to inform clinicians screening patients for KA consultation in a shared decision-making discussion to better align patient expectations with the most likely outcome.  相似文献   
50.

Objectives

(1) To determine evidence-based guidance for the length of time to return to specific valued functional and leisure activities after knee arthroplasty (KA). (2) To determine what patients feel are the most important functional or leisure activities to recover after KA. (3) To collect information about patients’ expectations and compare them to the actual time it takes to return.

Design

Prospective longitudinal cohort observational survey.

Setting

Specialist orthopedic hospital.

Participants

Patients (N=99) with osteoarthritis or rheumatoid arthritis (mean=69.9y [range 44-88]) listed for total knee arthroplasty (TKA) or unicompartmental knee arthroplasty.

Interventions

Not applicable.

Main Outcome Measure

Valued activities list (VAL) used to select activities patients expect to return to and report the actual time taken to return.

Results

Participants in unicompartmental knee arthroplasty group returned to the 6 most popular valued activities (walking >1km, stair climbing, housework, driving, gardening, and kneeling) 8%-33% more quickly than TKA group, and they were satisfied with performing these activities sooner on average (4%-18%) than the TKA group. The percentage of participants satisfied at 12 months postsurgery ranged from 96% returning to housework to 36% returning to kneeling. The Wilcoxon signed-rank test was used to compare the expected time and the actual time to return: Housework (Z=?5.631, P<.05, effect size=0.64) and swimming (Z=?3.209, P<.05, effect size=0.59) were quicker than expected, and walking >1 km (Z=?2.324, P<.05, effect size=0.27) was slower than expected.

Conclusions

A more tailored and personalized approach with consideration of prior level of activity and comorbidities must be taken into account and adequately discussed to help bridge the gap between the expected and actual recovery time.  相似文献   
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