Search

Background: Patient-reported outcomes (PROs) measure progression and quality of care. While legacy PROs such as the International Knee Documentation Committee (IKDC) survey are well-validated, a lengthy PRO creates a time burden on patients, decreasing adherence. In recent years, PROs such as the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function and Pain Interference surveys were developed as computer adaptive tests, reducing time to completion. Previous studies have examined correlation between legacy PROs and PROMIS; however, no studies have developed effective prediction models utilizing PROMIS to create an IKDC index. While the IKDC is the standard knee PRO, computer adaptive PROs offer numerous practical advantages. Purpose: To develop a nonlinear predictive model utilizing PROMIS Physical Function and Pain Interference to estimate IKDC survey scores and examine algorithm sensitivity and validity. Study Design: Cohort study (diagnosis); Level of evidence, 3. Methods: The MOTION (Military Orthopaedics Tracking Injuries and Outcomes Network) database is a prospectively collected repository of PROs and intraoperative variables. Patients undergoing knee surgery completed the IKDC and PROMIS surveys at varying time points. Nonlinear multivariable predictive models using Gaussian and beta distributions were created to establish an IKDC index score, which was then validated using leave-one-out techniques and minimal clinically important difference analysis. Results: A total of 1011 patients completed the IKDC and PROMIS Physical Function and Pain Interference, providing 1618 complete observations. The algorithms for the Gaussian and beta distribution were validated to predict the IKDC (Pearson = 0.84-0.86; R2 = 0.71-0.74; root mean square error = 9.3-10.0). Conclusion: The publicly available predictive models can approximate the IKDC score. The results can be used to compare PROMIS Physical Function and Pain Interference against historical IKDC scores by creating an IKDC index score. Serial use of the IKDC index allows for a lower minimal clinically important difference than the conventional IKDC. PROMIS can be substituted to reduce patient burden, increase completion rates, and produce orthopaedic-specific survey analogs.

Background: The preferred patient-reported outcome measure for the assessment of shoulder conditions continues to evolve. Previous studies correlating the Patient-Reported Outcomes Measurement Information System (PROMIS) computer adaptive tests (CATs) to the American Shoulder and Elbow Surgeons (ASES) score have focused on a singular domain (pain or physical function) but have not evaluated the combined domains of pain and physical function that compose the ASES score. Additionally, previous studies have not provided a multivariable prediction tool to convert PROMIS scores to more familiar legacy scores. Purpose: To establish a valid predictive model of ASES scores using a nonlinear combination of PROMIS domains for physical function and pain. Study Design: Cohort study (Diagnosis); Level of evidence, 3. Methods: The Military Orthopaedics Tracking Injuries and Outcomes Network (MOTION) database is a prospectively collected repository of patient-reported outcomes and intraoperative variables. Patients in MOTION research who underwent shoulder surgery and completed the ASES, PROMIS Physical Function, and PROMIS Pain Interference at varying time points were included in the present analysis. Nonlinear multivariable predictive models were created to establish an ASES index score and then validated using “leave 1 out” techniques and minimal clinically important difference /substantial clinical benefit (MCID/SCB) analysis. Results: A total of 909 patients completed the ASES, PROMIS Physical Function, and PROMIS Pain Interference at presurgery, 6 weeks, 6 months, and 1 year after surgery, providing 1502 complete observations. The PROMIS CAT predictive model was strongly validated to predict the ASES (Pearson coefficient = 0.76-0.78; R2 = 0.57-0.62; root mean square error = 13.3-14.1). The MCID/SCB for the ASES was 21.7, and the best ASES index MCID/SCB was 19.4, suggesting that the derived ASES index is effective and can reliably re-create ASES scores. Conclusion: The PROMIS CAT predictive models are able to approximate the ASES score within 13 to 14 points, which is 7 points more accurate than the ASES MCID/SCB derived from the sample. Our ASES index algorithm, which is freely available online ( https://osf.io/ctmnd/ ), has a lower MCID/SCB than the ASES itself. This algorithm can be used to decrease patient survey burden by 11 questions and provide a reliable ASES analog to clinicians.

Background:The Goutallier classification of fatty infiltration of the rotator cuff was developed for use in axial computed tomography arthrography. Now the Goutallier classification is being used with magnetic resonance imaging (MRI). Not only is there debate on the validity of the use of this system in MRI, but current literature is unclear as to the clinical use of the Goutallier classification.Hypothesis:There will be significant inter- and intraobserver variability of the Goutallier classification grading system for patients with chronic rotator cuff tears.Study Design:Cohort study (diagnosis); Level of evidence, 2.Methods:An online database consisting of 35 single MRI images from 35 patients with chronic rotator cuff tears was designed and sent to members of the American Shoulder and Elbow Society. Surgeons were asked to identify the stage of rotator cuff fatty infiltration using the Goutallier classification system. Thirty surgeons responded and completed the survey in its entirety. At a minimum of 2 months later, 28 of the 30 initial respondents completed evaluations of the same online database. The responding surgeons were divided dichotomously according to their demographics and the interobserver reliability of the groups compared. A kappa analysis was performed to determine inter- and intraobserver reliability using 95% confidence intervals (95% CIs). A simplified 3-tiered classification was proposed combining Goutallier grades 0 and 1 as well as grades 2 and 3.Results:Statistical analysis of all respondent data demonstrated moderate intraobserver variability with a κ value of 0.56 (95% CI, 0.53-0.60). In addition, moderate interobserver variability was shown with a κ value of 0.43 (range, 0.16-0.74). With the simplified classification, intraobserver reliability was 0.70 (95% CI, 0.66-0.74) and interobserver reliability was 0.61 (range, 0.21-0.87). Correlation analysis showed no correlation with the presence or absence of fellowship training or board certification with either the Goutallier classification or the proposed modification ( P > .05). Sports versus shoulder/elbow fellows had statistically better intraobserver variability (κ = 0.63 vs 0.50) with the Goutallier classification. Years in practice was negatively correlated with the level of agreement for both classifications (– r value, P < .05). The number of rotator cuff repairs performed per year negatively correlated with the level of agreement in the proposed modification only ( r = −0.44, P = .022). Percent of practice dedicated to the shoulder did not correlate significantly with either classification ( P > .05).Conclusion:There is significant inter- and intraobserver variability observed among experienced shoulder surgeons using the Goutallier classification for assessing fatty infiltration of the rotator cuff muscles after chronic rotator cuff tears. Respondents were more likely to agree with themselves than with other respondents. A simplification of the MRI classification system is proposed that takes into consideration the variability determined by this study.

Background Microfracture is an effective surgical treatment for isolated, full-thickness cartilage defects with current data focused on applications in the knee. No studies describing clinical outcomes of patients who have undergone microfracture in the shoulder joint have been reported. Hypothesis Treatment of glenohumeral joint articular defects using microfracture would demonstrate similar short-term clinical outcomes when compared with other joints. Study Design Case series; Level of evidence, 4. Methods From March 2001 to August 2007, 16 patients (17 shoulders) who underwent arthroscopic microfracture of the humeral head and/or glenoid surface were retrospectively reviewed. All patients were examined by an independent, blinded examiner and completed surveys containing the Simple Shoulder Test (SST), American Shoulder and Elbow Score (ASES), and visual analog scale (VAS). Results Two patients were lost to follow-up, for a follow-up rate of 88%. Three patients went on to subsequent shoulder surgery and were considered to have failed results. The mean age was 37.0 years (range, 18-55 years) with an average follow-up of 27.8 months (range, 12.1-89.2 months). The average size of humeral and glenoid defects was 5.07 cm2 (range, 1.0-7.84 cm2) and 1.66 cm2 (range, 0.4-3.75 cm2), respectively. There was a statistically significant decrease from 5.6 ± 1.7 to 1.9 ± 1.4 (P < .01) in VAS after surgery as well as statistically significant improvements (P < .01) in SST (5.7 ± 2.1 to 10.3 ± 1.3) and ASES (44.3 ± 15.3 to 86.3 ± 10.5). Twelve (92.3%) patients claimed they would have the procedure again. Conclusion Microfracture of the glenohumeral joint provides a significant improvement in pain relief and shoulder function in patients with isolated, full-thickness chondral injuries. Longer term studies are required to determine if similar results are maintained over time.

BackgroundReported results of autologous chondrocyte implantation for chondral lesions in the patellofemoral joint have been encouraging when combined with realignment procedures.PurposeThe objective of this study was to examine the clinical results of a patient cohort undergoing autologous chondrocyte implantation of the patellofemoral joint and elucidate characteristics associated with successful implantation.Study DesignCase series; Level of evidence, 4.MethodsThe cohort included 62 patients who underwent autologous chondrocyte implantation of the PF joint. The mean defect size was 4.2 cm2 (61.6). The average age was 31.8 years (range, 15.8-49.4), and the average follow-up was 4 years (range, 2-7). Outcomes were assessed via clinical assessment and established outcome scales, including the Lysholm, International Knee Documentation Committee, Knee Injury and Osteoarthritis Outcome Scale (KOOS; includes the 5 categories of Pain, Symptoms, Activities of Daily Living, Sport, and Quality of Life), Tegner, Cincinnati, and Short Form-12.ResultsMean improvement in the preoperative to postoperative scores was significant for the Lysholm (37-63, P 05). Patients undergoing anteromedialization tended toward better outcomes than those without realignment. Forty-four percent of patients needed a subsequent procedure. There were 4 clinical failures (7.7%), which were defined as progression to arthroplasty or conversion to osteochondral allograft transplantation.ConclusionAutologous chondrocyte implantation is a viable treatment option for chondral defects of the patellofemoral joint. Combined autologous chondrocyte implantation with anteromedialization improves outcomes more than autologous chondrocyte implantation alone. Patients with failed prior cartilage procedures can also expect sustained and clinically meaningful improvement.