Faculty Bibliography

BACKGROUND:We propose a new clinical assessment tool constructed using machine learning, called the Shoulder Arthroplasty Smart (SAS) score to quantify outcomes following total shoulder arthroplasty (TSA). METHODS:Clinical data from 3667 TSA patients with 8104 postoperative follow-up reports were used to quantify the psychometric properties of validity, responsiveness, and clinical interpretability for the proposed SAS score and each of the Simple Shoulder Test (SST), Constant, American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form (ASES), University of California Los Angeles (UCLA), and Shoulder Pain and Disability Index (SPADI) scores. RESULTS:Convergent construct validity was demonstrated, with all 6 outcome measures being moderately to highly correlated preoperatively and highly correlated postoperatively when quantifying TSA outcomes. The SAS score was most correlated with the UCLA score and least correlated with the SST. No clinical outcome score exhibited significant floor effects preoperatively or postoperatively or significant ceiling effects preoperatively; however, significant ceiling effects occurred postoperatively for each of the SST (44.3%), UCLA (13.9%), ASES (18.7%), and SPADI (19.3%) measures. Ceiling effects were more pronounced for anatomic than reverse TSA, and generally, men, younger patients, and whites who received TSA were more likely to experience a ceiling effect than TSA patients who were female, older, and of non-white race or ethnicity. The SAS score had the least number of patients with floor and ceiling effects and also exhibited no response bias in any patient characteristic analyzed in this study. Regarding clinical interpretability, patient satisfaction anchor-based thresholds for minimal clinically importance difference and substantial clinical benefit were quantified for all 6 outcome measures; the SAS score thresholds were most similar in magnitude to the Constant score. Regarding responsiveness, all 6 outcome measures detected a large effect, with the UCLA exhibiting the most responsiveness and the SST exhibiting the least. Finally, each of the SAS, ASES, Constant, and SPADI scores had similarly large standardized response mean and effect size responsiveness. DISCUSSION/CONCLUSIONS:The 6-question SAS score is an efficient TSA-specific outcome measure with equivalent or better validity, responsiveness, and clinical interpretability as 5 other historical assessment tools. The SAS score has an appropriate response range without floor or ceiling effects and without bias in any target patient characteristic, unlike the age, gender, or race/ethnicity bias observed in the ceiling scores with the other outcome measures. Because of these substantial benefits, we recommend the use of the new SAS score for quantifying TSA outcomes.

Background/UNASSIGNED:The Patient-Reported Outcomes Measurement Information System minimal clinically important difference (PROMIS MCID), substantial clinical benefit (SCB), and patient acceptable symptom state (PASS) of patient-reported outcome measures provide clinical significance to patient-reported outcome measures scores. The goal of this study is to measure the MCID, SCB, and PASS of PROMIS Upper Extremity v2.0 (PROMIS UE) in patients undergoing total shoulder arthroplasty (TSA). Methods/UNASSIGNED:All patients who underwent TSA since October 2017 were identified from our institutional database. Patients who had completed the PROMIS UE outcome measure before surgery were asked to complete a PROMIS UE and anchor survey that contained two transition questions to assess patient satisfaction and change in symptoms since treatment. The anchor-based MCID, SCB, and PASS were calculated as the change in PROMIS UE score that represented the optimal cutoff for a receiver operating characteristic curve. The distribution-based MCID was calculated as a range between the average standard error of measurement multiplied by 2 different constants: 1 and 2.77. Results/UNASSIGNED:This study enrolled 165 patients. The anchor-based MCID for PROMIS UE was calculated to be 8.05 with an AUC of 0.814. The anchor-based SCB was calculated to be 10.0 with an AUC of 0.727. The distribution-based MCID was calculated to be between 3.12 and 8.65. The PASS was calculated to be 37.2 with an AUC of 0.90. Conclusions/UNASSIGNED:The establishment of MCID, SCB, and PASS for PROMIS UE scores after shoulder arthroplasty provides meaningful and objective clinical interpretation of the improvements in outcome scores after TSA.

INTRODUCTION/UNASSIGNED:Third-generation hemispheric, titanium porous-coated (HTPC) acetabular cups have been shown to achieve good biologic fixation through enhanced porous ingrowth surfaces. They also allow for a wide range of bearing options, including polyethylene, dual-mobility, and ceramic liners. The purpose of the study is to review the mid-term clinical outcomes an HTPC acetabular cup with a minimum of 7-year follow-up. METHODS/UNASSIGNED:A retrospective, observational study was conducted on all consecutive patients who underwent total hip arthroplasty (THA) with an HTCP acetabular cup at an urban, tertiary referral centre. Descriptive statistics were used describe baseline patient characteristics. Outcomes collected included postoperative complications, survival free of reoperations, and presence of osteolysis at latest imaging follow-up. Implant survival was analysed using the Kaplan-Meier method. RESULTS/UNASSIGNED:118 cases (114 primary, 4 revision) underwent THA with the HTCP acetabular cup at an average follow-up of 8.16 ± 0.85 years (range 7.02-10.28 years). Mean patient age at the time of surgery was 61.29 ± 12.04 years. All cases utilised a high molecular weight polyethylene (HMWPE) liner. None of the acetabular cups showed loosening or migration at the latest follow-up. There were 2 revisions in our study, 1 for abductor mechanism disruption and 1 due to surgical site infection where the acetabular cup was revised. Kaplan-Meier Survivorship analysis for all-cause revision at 7 and 10-year follow-up showed a survival rate of 99.1% (95% confidence interval, 94.1-99.9%). Survivorship analysis for aseptic acetabular revision at 10-year follow-up showed a survival rate of 100%. CONCLUSIONS/UNASSIGNED:At long-term follow-up, no radiologic and minimal clinical complications were identified in this series. The HTPC acetabular cup system, used in conjunction with a HMWPE liner, demonstrates excellent outcomes and survivorship when compared to earlier mid-term studies published in the literature.

INTRODUCTION/BACKGROUND:The purpose of this study is to evaluate the relationship between patients' own health expectations and treatment outcomes following surgical repair of proximal humerus fractures. HYPOTHESIS/OBJECTIVE:Patients' health expectations will correlate with treatment outcomes following surgical repair of proximal humerus fractures. MATERIAL AND METHODS/METHODS:Over a 14-year period, 247 patients with a displaced proximal humerus fracture who underwent ORIF with locking compression plates were prospectively followed at one academic institution. Minimum follow-up period was 12 months. Patient-reported functional outcome data for the latest follow up visit (12 months and greater) was obtained from Disabilities of Arm, Shoulder, and Hand (DASH) questionnaires. Survey responses regarding health expectations were recorded at 3-month follow-up and converted to dichotomous variables. Two groups were identified: the high expectations and the low expectations groups. Statistical analysis comparing the two groups and their functional and clinical outcomes was performed using the independent t-test, using p<0.05 for significance. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated to further statistically characterize the relationship between health expectations at 3 months and long-term outcomes. RESULTS:One hundred and eighty-five (75.0%) patients available for analysis with a mean follow-up length of 24.8 months. The cohort included 124 (67%) females and 61 (33%) males and the average age at time of injury was 59.5 years. Eighty-six (46.5%) patients had low expectations for their overall health and 99 (53.5%) patients had high expectations for their health. No significant differences were seen between groups in regards to age, gender, follow-up length, Charlson Comorbidity Index (CCI), smoking and tobacco use, fracture pattern (OTA and Neer classifications), early complications (p>0.05), fracture healing, and avascular necrosis. The mean DASH score at the latest follow up for patients with low expectations was 31.42±22.8 whereas the mean for those with high expectations was 16.76±20.2 (p<0.0005). The mean forward flexion of the shoulder for patients with low expectations was 137.8±31.5 degrees as compared to 148.5±26.3 degrees (p<0.05). The positive predictive value of good expectations correlating with good outcomes was 71.7%. DISCUSSION/CONCLUSIONS:Patients with high expectations for their health early following injury had better outcomes in the long term. These high expectations also appeared to have an optimal influence on range of shoulder motion. This data suggests attitudinal and psychological factors that affect patient health expectations early on in the course of treatment may also influence patients' functional and clinical outcomes. LEVEL OF EVIDENCE/METHODS:II; Retrospective Study.

SUMMARY:There are a variety of treatment options available for proximal humerus fractures, including nonoperative management, open reduction internal fixation with screws, locking plates, intramedullary nailing, or suture fixation, and arthroplasty, including hemiarthroplasty and total shoulder replacements. Fracture characteristics, including the number of fracture parts and involvement of the humeral head and glenoid and the patient's functional status and postoperative goals help dictate the optimal choice. Although the indications for hemiarthroplasty as treatment for severe proximal humerus fractures have narrowed, the authors believe that there is a still a place for this technique in practice.

BACKGROUND:Nonunion of fractures about the proximal humerus represents a rare and complex problem. The purpose of this study was to evaluate the clinical and functional outcomes following proximal humerus fracture (PHF) nonunion repair using a plate and screw construct with a direct comparison to those experienced following operative fixation of acute PHF using a plate and screw construct. METHODS:Two separate patient cohorts were included in this study. The first consisted of 16 patients diagnosed with a non-united PHF who underwent operative nonunion repair treated with a standard algorithmic approach. The comparison group consisted of 173 patients who achieved union following initial open reduction and internal fixation of an acute PHF treated with a proximal humerus locking plate construct. All patients had at least 12 months of postoperative follow-up. Outcomes were assessed for both groups using American Shoulder and Elbow Surgeons (ASES) scores, visual analog scale (VAS) pain scores, and postoperative shoulder range of motion (ROM). Statistical analyses were used to compare these outcome measures between the two cohorts. RESULTS:The nonunion repair cohort consisted of eleven surgical neck nonunions and five nonunions of both the surgical neck and greater tuberosity. Ten patients had undergone surgical treatment for their original fracture, while six were initially treated non-operatively. All patients had Boileau type 3 sequelae of their proximal humerus fracture. Union was achieved in all patients at a mean of 5.4 months following nonunion repair. Complications included hardware failure requiring revision in two patients (12.5%) and avascular necrosis requiring conversion to anatomic total shoulder arthroplasty following union in one patient (6.3%). The nonunion repair and acute fracture cohorts did not differ with respect to mean ASES scores, VAS pain scores, or active shoulder ROM at any postoperative time point. CONCLUSION/CONCLUSIONS:Surgical repair of PHF nonunion is a viable treatment strategy that can lead to consistent bony healing with outcomes comparable to those of patients who achieve fracture union following initial surgical repair of an acute proximal humerus fracture. Surgeons should be cognizant of mechanical considerations that may lead to early failure.

STUDY DESIGN/UNASSIGNED:Retrospective cohort study. OBJECTIVES/UNASSIGNED:The interactions between hip osteoarthritis (OA) and spinal malalignment are poorly understood. The purpose of this study was to assess the influence of total hip arthroplasty (THA) on standing spinopelvic alignment. METHODS/UNASSIGNED:In this retrospective cohort study, patients undergoing THA for OA with pre-and postoperative full-body radiographs were included. Standing spinopelvic parameters were measured. Contralateral hip was graded on the Kellgren-Lawrence scale. Pre-and postoperative alignment parameters were compared by paired t-test. The severity of preoperative thoracolumbar deformity was measured using TPA. Linear regression was performed to assess the impact of preoperative TPA and changes in spinal alignment. Patients were separated into low and high TPA (<20 or >/=20 deg) and change in parameters were compared between groups by t-test. Similarly, the influence of K-L grade, age, and PI were also tested. RESULTS/UNASSIGNED:= .004). Preoperative TPA was significantly associated with the change in PI-LL, SVA, and TPA. High TPA patients significantly decreased SVA more than low TPA patients. There was no significant impact of contralateral hip OA, PI, or age on change in alignment parameters. CONCLUSION/UNASSIGNED:Spinopelvic alignment changes after THA, evident by a reduction in SVA. Preoperative spinal sagittal deformity impacts this change. Level of evidence: III.

Lewis Albert Sayre (1820-1900) is one of the key figures in the history of American orthopedic surgery who left an indelible mark on the field. Sayre dedicated much of his career to teaching and practicing orthopedics in New York City and is considered to be one of the "fathers" of orthopedics in America. Sayre's career was defined by his development of novel, innovative treatments to attempt to improve the lives of his patients. Two of the treatments he is most well-known for developing are "exsection of the hip" for treating "Morbus Coxarius" and the plaster of Paris jacket used for treating spinal deformities caused by Pott's disease or scoliosis. Although Sayre's developments are no longer used today, examining them can help us to reflect on the orthopedic principles he sought to apply in the 19th Century as well as how Sayre's treatments have shaped the interventions that we use to care for patients today.

BACKGROUND:To measure functional outcome, patient reported outcome measures (PROMs) are most often used but biomechanical tests can provide valuable supplementary data. The objective of this study was to investigate instrumented insoles for measuring ground-to-foot forces during basic activities. METHODS:Three groups were evaluated: normal controls, preoperative, and postoperative total knees. The Knee Society Scoring System (KSS) Short Form was used, and with foot pressure sensor insoles, a timed-up-and-go (TUG) test and a sit-to-stand (STS) test was used. RESULTS:Comparing preoperative to postoperative and control groups, there were significant differences in most parameters. There were no significant differences between controls and postoperative knees. Of the 33 correlation coefficients between three PROM parameters and six biomechanical parameters for the three groups, only five coefficients were greater than 0.5. CONCLUSIONS:The biomechanical data was substantially independent of the PROM data and provided additional functional evaluation. The most useful parameters were the left-right force ratios during sit-to stand (STS) and the timed-up-and-go (TUG) time.

BACKGROUND:A machine learning analysis was conducted on 5774 shoulder arthroplasty patients to create predictive models for multiple clinical outcome measures after anatomic total shoulder arthroplasty (aTSA) and reverse total shoulder arthroplasty (rTSA). The goal of this study was to compare the accuracy associated with a full-feature set predictive model (ie, full model, comprising 291 parameters) and a minimal-feature set model (ie, abbreviated model, comprising 19 input parameters) to predict clinical outcomes to assess the efficacy of using a minimal feature set of inputs as a shoulder arthroplasty clinical decision-support tool. METHODS:Clinical data from 2153 primary aTSA patients and 3621 primary rTSA patients were analyzed using the XGBoost machine learning technique to create and test predictive models for multiple outcome measures at different postoperative time points via the full and abbreviated models. Mean absolute errors (MAEs) quantified the difference between actual and predicted outcomes, and each model also predicted whether a patient would experience clinical improvement greater than the patient satisfaction anchor-based thresholds of the minimal clinically important difference and substantial clinical benefit for each outcome measure at 2-3 years after surgery. RESULTS:Across all postoperative time points analyzed, the full and abbreviated models had similar MAEs for the American Shoulder and Elbow Surgeons score (±11.7 with full model vs. ±12.0 with abbreviated model), Constant score (±8.9 vs. ±9.8), Global Shoulder Function score (±1.4 vs. ±1.5), visual analog scale pain score (±1.3 vs. ±1.4), active abduction (±20.4° vs. ±21.8°), forward elevation (±17.6° vs. ±19.2°), and external rotation (±12.2° vs. ±12.6°). Marginal improvements in MAEs were observed for each outcome measure prediction when the abbreviated model was supplemented with data on implant size and/or type and measurements of native glenoid anatomy. The full and abbreviated models each effectively risk stratified patients using only preoperative data by accurately identifying patients with improvement greater than the minimal clinically important difference and substantial clinical benefit thresholds. DISCUSSION/CONCLUSIONS:Our study showed that the full and abbreviated machine learning models achieved similar accuracy in predicting clinical outcomes after aTSA and rTSA at multiple postoperative time points. These promising results demonstrate an efficient utilization of machine learning algorithms to predict clinical outcomes. Our findings using a minimal feature set of only 19 preoperative inputs suggest that this tool may be easily used during a surgical consultation to improve decision making related to shoulder arthroplasty.