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Background Variations in glenoid morphology affect surgical treatment and outcome of advanced glenohumeral osteoarthritis (OA). The purpose of this study was to assess the inter- and intraobserver reliability of the modified Walch classification using 3-dimensional (3D) computed tomography (CT) imaging in a multicenter research group. Methods Deidentified preoperative CTs of patients with primary glenohumeral OA undergoing anatomic or reverse total shoulder arthroplasty (TSA) were reviewed with 3D imaging software by 23 experienced shoulder surgeons across 19 institutions. CTs were separated into 2 groups for review: group 1 (96 cases involving all modified Walch classification categories evaluated by 12 readers) and group 2 (98 cases involving posterior glenoid deformity categories [B2, B3, C1, C2] evaluated by 11 readers other than the first 12). Each case group was reviewed by the same set of readers 4 different times (with and without the glenoid vault model present), blindly and in random order. Inter- and intraobserver reliabilities were calculated to assess agreement (slight, fair, moderate, substantial, almost perfect) within groups and by modified Walch classification categories. Results Interobserver reliability showed fair to moderate agreement for both groups. Group 1 had a kappa of 0.43 (95% confidence interval [CI]: 0.38, 0.48) with the glenoid vault model absent and 0.41 (95% CI: 0.37, 0.46) with it present. Group 2 had a kappa of 0.38 (95% CI: 0.33, 0.43) with the glenoid vault model absent and 0.37 (95% CI: 0.32, 0.43) with it present. Intraobserver reliability showed substantial agreement for group 1 with (0.63, range 0.47-0.71) and without (0.61, range 0.52-0.69) the glenoid vault model present. For group 2, intraobserver reliability showed moderate agreement with the glenoid vault model absent (0.51, range 0.30-0.72), which improved to substantial agreement with the glenoid vault model present (0.61, range 0.34-0.87). Discussion Inter- and intraobserver reliability of the modified Walch classification were fair to moderate and moderate to substantial, respectively, using standardized 3D CT imaging analysis in a large multicenter study. The findings potentially suggest that cases with a spectrum of posterior glenoid bone loss and/or dysplasia can be harder to distinguish by modified Walch type because of a lack of defined thresholds, and the glenoid vault model may be beneficial in determining Walch type in certain scenarios. The ability to reproducibly separate patients into groups based on preoperative pathology, including Walch type, is important for future studies to accurately evaluate postoperative outcomes in TSA patient cohorts.

Often, differences in length of stay after total knee arthroplasty are solely attributed to patient factors. Therefore, our aim was to determine the influence of patient-related and procedure or structural-related risk factors as predictors of length of stay after total knee arthroplasty.A prospective cohort of 4,509 patients (54.6% of whom had Medicare for insurance) underwent primary total knee arthroplasty across 4 facilities in a single health-care system (from January 1, 2016, to September 30, 2017). Risk factors were categorized as patient-related risk factors (demographic characteristics, smoking status, Veterans RAND 12 Item Health Survey Mental Component Summary score [VR-12 MCS], Charlson Comorbidity Index, surgical indication, Knee injury and Osteoarthritis Outcome Score [KOOS], deformity, range of motion, and discharge location probability assessed by a nomogram predicting location after arthroplasty) or as procedure or structural-related risk factors (hospital site, surgeon, day of the week when the surgical procedure was performed, implant type, and surgical procedure start time). Multivariable cumulative link (proportional odds logistic regression) models were built to identify significant predictors from candidate risk factors for 1-day, 2-day, and ≥3-day length of stay. Performance was compared between a model containing patient-related risk factors only and a model with both patient-related and procedure or structural-related risk factors, utilizing the Akaike information criterion (AIC) and internally validated concordance probabilities (C-index) for discriminating a 1-day length of stay compared with1-day length of stay.Patient-related risk factors were significant predictors of length of stay (p0.05). A longer length of stay was predicted by older age, higher body mass index (BMI), higher Charlson Comorbidity Index, lower VR-12 MCS, and female sex. However, when the procedure or structural factors were added to the patients' risk factors, the AIC decreased by approximately 1,670 units. This indicates that procedure or structural-related risk factors provide clinically relevant improvement in explaining length of stay in addition to patient-related risk factors.Despite patient-related factors such as age, sex, and comorbidities providing substantial predictive value for length of stay after total knee arthroplasty, the main driving predictors of single-day length of stay after total knee arthroplasty were procedure or structural-related factors, including hospital site and surgeon. Understanding the risk factors that affect outcomes after total knee arthroplasty provides the opportunity to influence and potentially modify them favorably to optimize care.

BACKGROUND: The factors that associate with surgical decisions about repair technique and the number of suture anchors used in rotator cuff repair have not been previously investigated. The purpose of this study was to investigate the extent to which patient and surgical factors, including surgeon, associate with performing single-vs. double-row repair technique and ultimately with the number of suture anchors used. METHODS: This study queried our institution’ sprospective surgical cohort for patients undergoing suture anchor repair of superior-posterior rotator cuff tendon tears between February 2015 and August 2017. Exclusion criteria were patients with isolated subscapularis tears, tears that were not repaired, repairs without suture anchors, repairs involving graft augmentation, and repairs by surgeons with less than 10 cases. Multivariable statistical modeling was used to investigate associations between patient and surgical factors and the choice of repair technique and number of suture anchors used. RESULTS: 925 cases performed by 13 surgeons met inclusion criteria. Tear type (full thickness), tear size (medium, large and massive), a greater number of torn tendons, repair type (arthroscopic), and surgeon were significantly associated with performing a double-row over a single-row repair. Tear size, a greater number of torn tendons, double-row repair technique, and surgeon were significantly associated with a greater number of anchors used for repair. CONCLUSION: Our findings suggest that in the absence of data to conclusively support a clinical benefit of one repair technique over another, the surgeons’ training, experience and/or inherent practice patterns, become the primary factors that define their surgical methods. LEVEL OF EVIDENCE: Level III; Cross-Sectional Design; Epidemiology Study