Predictive Modeling to Determine Functional Outcomes After Arthroscopic Rotator Cuff Repair

Predictive factors for postoperative outcomes after reverse shoulder arthroplasty: a systematic review

BACKGROUND

The use of reverse total shoulder arthroplasty (RTSA) has increased at a greater rate than other shoulder procedures. In general, clinical and functional outcomes after RTSA have been favorable regardless of indication. However, little evidence exists regarding patient specific factors associated with clinical improvement after RTSA. Predicting postoperative outcomes after RTSA may support patients and physicians to establish more accurate patient expectations and contribute in treatment decisions. The aim of this study was to determine predictive factors for postoperative outcomes after RTSA for patients with degenerative shoulder disorders.

METHODS

EMBASE, PubMed, Cochrane Library and PEDro were searched to identify cohort studies reporting on predictive factors for postoperative outcomes after RTSA. Authors independently screened publications on eligibility. Risk of bias for each publication was assessed using the QUIPS tool. A qualitative description of the results was given. The GRADE framework was used to establish the quality of evidence.

RESULTS

A total of 1986 references were found of which 11 relevant articles were included in the analysis. Risk of bias was assessed as low (N = 7, 63.6%) or moderate (N = 4, 36.4%). According to the evidence synthesis there was moderate-quality evidence indicating that greater height predicts better postoperative shoulder function, and greater preoperative range of motion (ROM) predicts increased postoperative ROM following.

CONCLUSION

Preoperative predictive factors that may predict postoperative outcomes are: patient height and preoperative range of motion. These factors should be considered in the preoperative decision making for a RTSA, and can potentially be used to aid in preoperative decision making.

LEVEL OF EVIDENCE

Level I; Systematic review.

Predictive Modeling for Functional Outcomes After All-Inside Arthroscopic Anterior Talofibular Ligament Repair of Chronic Ankle Instability

BACKGROUND

Arthroscopic anterior talofibular ligament repair (AATFLR) is a surgical strategy to treat chronic ankle instability (CAI) patients. This study identified risk factors that influenced the functional outcomes of AATFLR for CAI and developed prognostic nomogram for predicting functional outcomes in future AATFLR cases.

METHODS

Patients undergoing AATFLR from January 2016 to June 2022 with at least 10 months of follow-up were included in the study. The Karlsson Ankle Functional Score (KAFS) was evaluated preoperatively and at last follow-up visit. A total of 15 potential predictors including age, sex, body mass index, side affected, time from injury to surgery, sports-related injury, osteophyte, loose bodies, distal tibiofibular syndesmosis, ATFL avulsion fracture, Outerbridge classification of osteochondral lesions, postoperative immobilization method, ambulation time, walking time, and follow-up time, were recorded. We first used univariate binary logistic regression analysis to select the potential significant prognostic features, which were then subjected to the least absolute shrinkage and selection operator (LASSO) regression algorithm for final feature selection. A nomogram based on the regression model was developed to estimate the functional outcomes of patients. Models were validated internally using bootstrapping and externally by calculating their performance on a validation cohort.

RESULTS

Overall, 200 ankles fit inclusion criteria. Of these 200, a total of 185 (92.5%) ankles were eligible and divided into development (n = 121) and validation (n = 64) cohorts. Four predictors were ultimately included in the prognostic nomogram model: age, sex, sports-related injury, and postoperative immobilization method.

CONCLUSION

We found in our cohort that the significant predictors of poorer functional outcomes of AATFLR were postoperative immobilization with lower-leg cast, female sex, non-sports-related ankle sprain, and increasing age. Prognostic nomograms were created.

LEVEL OF EVIDENCE

Level III, retrospective cohort study.

What are the Factors that Impact the Outcomes of Arthroscopic Rotator Cuff Repair?

BACKGROUND

The cuff is a complex structure with many factors affecting it. How much it is affected after repair is still being investigated.

AIM

The aim of this study was to analyze the functional results of individuals who received arthroscopic rotator cuff repair and assess the various factors that could impact these outcomes.

METHODS

The study included 57 patients with a mean age of 58.8 years (range: 39-71) who underwent arthroscopic rotator cuff repair between 2013 and 2020, with a minimum of 6 months after the operation. Functional and clinical outcomes of the patients were evaluated using preoperative and postoperative scores (QDASH, ASES, and VAS). The study also analyzed how demographic factors, type and duration of the tear, comorbidities such as diabetes mellitus (DM) and hypertension (HT), and other pathologies may have affected the patients' scores.

RESULTS

The effect of the operation on the scores in rotator cuff tears was highly significant (P < 0.05). Age, gender, tear size, fatty degeneration, anchor configuration, comorbidities, and additional procedures presented variable values on postoperative scores, but were not statistically significant. The effect of DM and HT on VAS scores was statistically significant (P < 0.05).

CONCLUSION

The results of rotator cuff repair appear to be influenced by several factors, including the sex of the patient, type and duration of tear, comorbidities, and surgical procedures used. Although these factors had an effect on the scores, they were not statistically significant.

Early clinical efficacy analysis of enhanced recovery following surgery combined with interscalene brachial plexus block for arthroscopic rotator cuff repair

To explore the early clinical value of enhanced recovery after surgery (ERAS) with interscalene brachial plexus block (ISB) for arthroscopic rotator cuff repair (ARCR). We enrolled 240 patients who underwent arthroscopic rotator cuff repair, randomly divided into 3 groups (n = 80 each). Groups A, B, and C underwent only surgery, surgery + ERAS, and ISB + surgery + ERAS, respectively. We analyzed the clinical data and postoperative indicators for the 3 patient groups. Group comparisons of clinical data and postoperative indicators revealed no significant differences in clinical characteristics (P > .05). Group C showed superior Visual Analog Scale scores at 0-6 and 6-24 hours postoperatively (P < .05), and the shortest length of hospital stay (LOS) (P < .05). At 6 weeks and 3 months postoperatively, Constant-Murley shoulder score and University of California-Los Angeles scores were better in Groups B and C than in Group A (P < .05). Joint swelling was more common in Group A than in Groups B and C (P < .05) but with no significant difference in the incidence of postoperative stiffness (P > .05). ERAS can relieve postoperative pain, shorten LOS, and help restore shoulder joint mobility, thereby reducing postoperative swelling. ISB + ERAS optimized pain control and allowed a shorter LOS, but had similar effects on early functional recovery and complications.

Development and internal validation of a model predicting patient-reported shoulder function after arthroscopic rotator cuff repair in a Swiss setting

BACKGROUND

Prediction models for outcomes after orthopedic surgery provide patients with evidence-based postoperative outcome expectations. Our objectives were (1) to identify prognostic factors associated with the postoperative shoulder function outcome (the Oxford Shoulder Score (OSS)) and (2) to develop and validate a prediction model for postoperative OSS.

METHODS

Patients undergoing arthroscopic rotator cuff repair (ARCR) were prospectively documented at a Swiss orthopedic tertiary care center. The first primary ARCR in adult patients with a partial or complete rotator cuff tear were included between October 2013 and June 2021. Thirty-two potential prognostic factors were used for prediction model development. Two sets of factors identified using the knowledge from three experienced surgeons (Set 1) and Bayesian projection predictive variable selection (Set 2) were compared in terms of model performance using R squared and root-mean-squared error (RMSE) across 45 multiple imputed data sets using chained equations and complete case data.

RESULTS

Multiple imputation using data from 1510 patients was performed. Set 2 retained the following factors: American Society of Anesthesiologists (ASA) classification, baseline level of depression and anxiety, baseline OSS, operation duration, tear severity, and biceps status and treatment. Apparent model performance was R-squared = 0.174 and RMSE = 7.514, dropping to R-squared = 0.156, and RMSE = 7.603 after correction for optimism.

CONCLUSION

A prediction model for patients undergoing ARCR was developed using solely baseline and operative data in order to provide patients and surgeons with individualized expectations for postoperative shoulder function outcomes. Yet, model performance should be improved before being used in clinical routine.

Using Machine Learning to Predict Nonachievement of Clinically Significant Outcomes After Rotator Cuff Repair

Background

Although some evidence suggests that machine learning algorithms may outperform classical statistical methods in prognosis prediction for several orthopaedic surgeries, to our knowledge, no study has yet used machine learning to predict patient-reported outcome measures after rotator cuff repair.

Purpose

To determine whether machine learning algorithms using preoperative data can predict the nonachievement of the minimal clinically important difference (MCID) of disability at 2 years after rotator cuff surgical repair with a similar performance to that of other machine learning studies in the orthopaedic surgery literature.

Study Design

Case-control study; Level of evidence, 3.

Methods

We evaluated 474 patients (n = 500 shoulders) with rotator cuff tears who underwent arthroscopic rotator cuff repair between January 2013 and April 2019. The study outcome was the difference between the preoperative and 24-month postoperative American Shoulder and Elbow Surgeons (ASES) score. A cutoff score was calculated based on the established MCID of 15.2 points to separate success (higher than the cutoff) from failure (lower than the cutoff). Routinely collected imaging, clinical, and demographic data were used to train 8 machine learning algorithms (random forest classifier; light gradient boosting machine [LightGBM]; decision tree classifier; extra trees classifier; logistic regression; extreme gradient boosting [XGBoost]; k-nearest neighbors [KNN] classifier; and CatBoost classifier). We used a random sample of 70% of patients to train the algorithms, and 30% were left for performance assessment, simulating new data. The performance of the models was evaluated with the area under the receiver operating characteristic curve (AUC).

Results

The AUCs for all algorithms ranged from 0.58 to 0.68. The random forest classifier and LightGBM presented the highest AUC values (0.68 [95% CI, 0.48-0.79] and 0.67 [95% CI, 0.43-0.75], respectively) of the 8 machine learning algorithms. Most of the machine learning algorithms outperformed logistic regression (AUC, 0.59 [95% CI, 0.48-0.81]); nonetheless, their performance was lower than that of other machine learning studies in the orthopaedic surgery literature.

Conclusion

Machine learning algorithms demonstrated some ability to predict the nonachievement of the MCID on the ASES 2 years after rotator cuff repair surgery.

Preoperative factors affecting the quality of life after arthroscopic rotator cuff repair: a prospective study

Background

Rotator cuff tears are well known to cause significant pain and disability, having a marked impact on an individual's quality of life. This prospective study aimed to analyze the various patient factors and their impact on health-related quality of life (HrQoL) post arthroscopic rotator cuff repair (RCR).

Material and Methods

We prospectively analyzed 95 patients at one year and 81 patients at two years, with complete rotator cuff tear, who underwent arthroscopic repair of the same. The 36-Item Short Form Survey (physical and mental component score), visual analog scale (pain, function), and QuickDASH questionnaires were administered to all the patients preoperatively and at one- and two-year follow-ups. Relationships between various patient factors (age, gender, side, duration of symptoms, pseudoparalysis, diabetes mellitus [DM], type, and size of tear) and outcome measures were analyzed.

Results

All outcome parameters showed significant improvement at one- and two-year follow-ups. Patient factors, such as gender, tear type (traumatic vs degenerative), and DM, affected all outcome parameters and were significant even in the regression analysis model at a 2-year follow-up. Factors such as age and symptoms duration were significant only at 1-year follow-up, with older age and patients with symptoms > 6 weeks showing more disability. Side (dominant or nondominant), tear size, and pseudoparalysis do not affect outcomes.

Conclusions

This study showed that arthroscopic RCR significantly improved HrQoL post arthroscopic RCRs. Factors independently affecting HrQoL were noted as gender, tear type, and DM. On the other hand, age, side involved, duration of symptoms, pseudoparalysis, and tear size had no independent effect on HrQoL at a two-year follow-up.

Effect of Insurance Reimbursement Status on Pre- and Postoperative Patient-Reported Outcomes Measurement Information System (PROMIS) Scores After Arthroscopic Rotator Cuff Repair

BACKGROUND

Previous studies reported inferior patient-reported outcomes (PROs) after arthroscopic rotator cuff repair for patients receiving workers' compensation (WC) relative to patients with commercial insurance. The extent to which alternative insurance reimbursement, including Medicaid and Medicare, influences outcomes after arthroscopic rotator cuff repair remains understudied.

HYPOTHESIS

Compared with patients with commercial insurance reimbursement, patients with WC or government-issued reimbursement would report lower pre- and postoperative Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) scores, report higher pre- and postoperative PROMIS Depression (D) and Pain Interference (PI) scores, and experience smaller levels of improvement in all PROMIS domains with surgical intervention.

STUDY DESIGN

Cohort study; Level of evidence, 3.

METHODS

Demographic and surgical data were extracted from the medical record, and PROMIS domains were prospectively collected. Patients were divided into cohorts based on insurance reimbursement status. Differences between insurance-based cohorts for baseline variables, pre- and postoperative PROMIS scores, and change from baseline to final follow-up (delta) for PROMIS scores were evaluated using Kruskal-Wallis or chi-square tests. Mixed-effects linear regression models were performed to assess the influence of insurance while controlling for other variables. Survival analysis was performed to determine time to achieve minimal clinically important difference (MCID) for each PROMIS domain per cohort.

RESULTS

1252 patients underwent arthroscopic rotator cuff repair, met inclusion criteria, and completed PROMIS questionnaires. Statistically significant differences were noted in demographic variables including age (P < .001), sex (P < .001), ethnicity (P < .001), and body mass index (P < .001) between insurance-based cohorts. Unadjusted analysis revealed significantly higher PF scores and lower PI and D scores for the group with commercial insurance relative to those with Medicare, Medicaid, and WC at 6- and 12-month follow-up (P < .01 all comparisons), except for the Medicare versus commercial subcohort analysis for PI at 6 months (P = .28). These differences persisted for the Medicare, Medicaid, and WC groups (P < .03 all comparisons) after adjustment for confounding variables in linear regression.

CONCLUSIONS

The baseline characteristics of patients undergoing arthroscopic rotator cuff repair differed based on insurance reimbursement. Patients with commercial insurance reported improved physical function, decreased pain interference, and improved mood (less depression) relative to patients with government-issued and WC insurance, with maximum improvement 6 to 12 months postoperatively. There were few significant differences between insurance groups in change of PROMIS scores from preoperative to postoperative intervals, indicating that differences in the baseline demographic and surgical characteristics of these groups accounted for differences in response to surgery.

Arthroscopic rotator cuff repair in fibromyalgia patients had comparable outcomes to a matched control group

BACKGROUND

Although fibromyalgia is associated with poor outcomes following orthopedic surgeries, several studies show some benefit from surgical intervention and nevertheless recommend operative treatment when indicated. There is sparse evidence of the effect of fibromyalgia on the outcomes of shoulder surgery. The purpose of this study was to investigate the effect of fibromyalgia on patient-reported outcomes of arthroscopic rotator cuff repair (ARCR).

METHODS

All patients with a confirmed diagnosis of fibromyalgia who underwent ARCR in one institution between 2010 and 2021 were included. Data retrieved from medical records included demographics, characteristics of the cuff tear and the surgical procedure, and preoperative and last follow-up (minimum 1 year) postoperative Disabilities of the Arm, Shoulder and Hand (DASH) score, Subjective Shoulder score (SSV), and Numeric Pain Rating Scale (NPRS). A matched controlled group of patients without fibromyalgia who had undergone ARCR was selected according to age, sex, and preoperative DASH, SSV, and NPRS scores.

RESULTS

There were no significant differences in demographics, cuff tear and surgical procedure characteristics, and preoperative scores between the fibromyalgia and control groups. The fibromyalgia patients' postoperative scores for all 3 measurements showed significant improvement: SSV by 32.1 (P = 0.004), DASH by 20.3 (P = 0.016), and NPRS by 2.33 (P = 0.017). There were no significant differences in the postoperative DASH, SSV, and NPRS between the fibromyalgia and control groups.

CONCLUSION

Fibromyalgia patients with rotator cuff tears who undergo ARCR do not have inferior patient-reported outcomes compared with non-fibromyalgia controls. Fibromyalgia should not be a considered a contraindication for ARCR.

LEVEL OF EVIDENCE

III.

Determining the Time Required to Achieve Clinically Significant Outcomes on the PROMIS Upper Extremity Questionnaire After Arthroscopic Rotator Cuff Repair

Background

Clinically significant outcome (CSO) thresholds for the Patient-Reported Outcome Measurement Information System-Upper Extremity (PROMIS-UE) score have been previously defined after arthroscopic rotator cuff repair (RCR). However, the time required to achieve CSOs for the PROMIS-UE score is unknown.

Purpose

To (1) determine the time required to achieve the minimal clinically important difference (MCID), substantial clinical benefit (SCB), and Patient Acceptable Symptom State (PASS) score thresholds after RCR for the PROMIS-UE questionnaire and (2) identify patient factors associated with earlier or delayed achievement of these clinical benchmarks.

Study Design

Case-control study; Level of evidence, 3.

Methods

A prospectively maintained institutional database was retrospectively reviewed for consecutive patients who underwent RCR between January 2018 and January 2019. Patients were included if they completed the PROMIS-UE questionnaire both preoperatively and at standardized postoperative time intervals: 5 to 7 months (6-month time point), 11 to 13 months (1-year time point), and ≥23 months (2-year time point). Kaplan-Meier survival curves with interval censoring were used to define the cumulative percentage of patients who achieved the MCID, SCB, and PASS. Patient variables associated with earlier or delayed achievement of the MCID, SCB, and PASS were determined using Weibull parametric survival regression analysis.

Results

Included were 105 patients undergoing RCR (age, 57.3 ± 10.3 years; body mass index, 31.5 ± 6.1 kg/m²). By 2-year follow-up, the cumulative percentage of patients achieving the MCID, SCB, and PASS was 86.7%, 76.2%, and 74.3%, respectively. The mean time required to reach the MCID, SCB, and PASS score thresholds was 9.5 ± 3.8, 10.3 ± 4.4, and 9.8 ± 4.6 months, respectively. Factors associated with delayed achievement of CSOs included greater baseline PROMIS-UE score (MCID and SCB) and workers' compensation insurance (PASS). Greater baseline PROMIS-UE scores were associated with earlier achievement of the PASS.

Conclusion

Most patients achieved CSOs for the PROMIS-UE within 12 months of RCR. Patient-specific factors found to be associated with earlier or delayed achievement of CSOs can be used to inform patient discussions on the expected timeline for recovery after RCR.

Prognostic Factors for Clinical Outcomes After Arthroscopic Rotator Cuff Repair

Background

Limited knowledge exists regarding prognostic factors after rotator cuff repair.

Purpose

To identify pre- and perioperative predictors for functional outcomes after arthroscopic rotator cuff repair.

Study Design

Case-control study; Level of evidence, 3.

Methods

This study included patients who underwent arthroscopic rotator cuff repair between January 2013 and April 2019 and who had preoperative magnetic resonance imaging scans. The procedures were performed by 4 shoulder surgeons at a single institution. Excluded were patients who had previous surgeries, those who underwent open surgery, and those without 12- and 24-month follow-up clinical data. Patient-reported outcomes (American Shoulder and Elbow Surgeons [ASES] Standardized Shoulder Assessment Form and University of California, Los Angeles [UCLA] Shoulder Rating Scale scores) were assessed preoperatively and at 6, 12, and 24 months postoperatively. Using multiple linear regression analysis, the authors evaluated the influence of 29 variables relating to patient, lesion, and procedure characteristics on postoperative outcomes, with the 24-month ASES score as the dependent variable.

Results

The study sample consisted of 474 patients (500 shoulders). The median ASES score increased from 41.6 preoperatively to 88.3 at 24 months (P < .001), and the median UCLA score increased from 14 preoperatively to 32 in the same period (P < .001). The following variables were found to be independent predictors for higher 24-month postoperative ASES score: male sex, absence of rheumatologic disease, older age, lower degree of supraspinatus muscle fatty degeneration, acromioplasty, and a higher preoperative ASES score.

Conclusion

The prognostic factors for better clinical results at 24 months after arthroscopic rotator cuff repair were male sex, absence of rheumatologic disease, older age, lower degree of fatty degeneration of the supraspinatus muscle, concomitant acromioplasty, and higher preoperative ASES score.

Approaching Artificial Intelligence in Orthopaedics: Predictive Analytics and Machine Learning to Prognosticate Arthroscopic Rotator Cuff Surgical Outcomes

Machine learning (ML) has not yet been used to identify factors predictive for post-operative functional outcomes following arthroscopic rotator cuff repair (ARCR). We propose a novel algorithm to predict ARCR outcomes using machine learning. This is a retrospective cohort study from a prospectively collected database. Data were collected from the Surgical Outcome System Global Registry (Arthrex, Naples, FL, USA). Pre-operative and 3-month, 6-month, and 12-month post-operative American Shoulder and Elbow Surgeons (ASES) scores were collected and used to develop a ML model. Pre-operative factors including demography, comorbidities, cuff tear, tissue quality, and fixation implants were fed to the ML model. The algorithm then produced an expected post-operative ASES score for each patient. The ML-produced scores were compared to actual scores using standard test-train machine learning principles. Overall, 631 patients who underwent shoulder arthroscopy from January 2011 to March 2020 met inclusion criteria for final analysis. A substantial number of the test dataset predictions using the XGBoost algorithm were within the minimal clinically important difference (MCID) and substantial clinical benefit (SCB) thresholds: 67% of the 12-month post-operative predictions were within MCID, while 84% were within SCB. Pre-operative ASES score, pre-operative pain score, body mass index (BMI), age, and tendon quality were the most important features in predicting patient recovery as identified using Shapley additive explanations (SHAP). In conclusion, the proposed novel machine learning algorithm can use pre-operative factors to predict post-operative ASES scores accurately. This can further supplement pre-operative counselling, planning, and resource allocation. Level of Evidence: III.

Social determinants of health influence clinical outcomes of patients undergoing rotator cuff repair: a systematic review

BACKGROUND

Social determinants of health (SDOH) are the collection of environmental, institutional, and intrinsic conditions that may bias access to, and utilization of, health care across an individual's lifetime. The effects of SDOH are associated with disparities in patient-reported outcomes after hip and knee arthroplasty, but its impact on rotator cuff repair (RCR) is poorly understood. This study aimed to investigate the influences that SDOH have on accessing appropriate orthopedic treatment, as well as its effects on patient-reported outcomes following RCR.

METHODS

This systematic review was performed in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and guidelines outlined by the Cochrane Collaboration. A search of PubMed, the Cochrane Library, and Embase from inception until March 2022 was conducted to identify studies reporting at least 1 SDOH and its effect on access to health care, clinical outcomes, or patient-reported outcomes following RCR. The search term was created with reference to the PROGRESS-Plus framework. Methodological quality of included primary studies was appraised using the Newcastle-Ottawa Scale (NOS) for nonrandomized studies, and the Cochrane Risk of Bias Tool for randomized studies.

RESULTS

Thirty-two studies (level I-IV evidence) from 18 journals across 7 countries, published between 1999 and 2022, met inclusion criteria, including 102,372 patients, 669 physical therapy (PT) clinics, and 71 orthopedic surgery practices. Multivariate analysis revealed female gender, labor-intensive occupation and worker's compensation claims, comorbidities, tobacco use, federally subsidized insurance, lower education level, racial or ethnic minority status, low-income place of residence and low-volume surgery regions, unemployment, and preoperative narcotic use contribute to delays in access to health care and/or more severe disease state on presentation. Black race patients were found to have significantly worse postoperative clinical and patient-reported outcomes and experienced more pain following RCR. Furthermore, Black and Hispanic patients were more likely to present to low-volume surgeons and low-volume facilities. A lower education level was shown to be an independent predictor of poor surgical and patient-reported outcomes as well as increased pain and worse patient satisfaction. Patients with federally subsidized insurance demonstrated significantly worse postoperative clinical and patient-reported outcomes CONCLUSIONS: The impediments created by SDOH lead to worse clinical and patient-reported outcomes following RCR including increased risk of postoperative complications, failed repair, higher rates of revision surgery, and decreased ability to return to work. Orthopedic surgeons, policy makers, and insurers should be aware of the aforementioned SDOH as markers for characteristics that may predispose to inferior outcomes following RCR.

Machine learning model successfully identifies important clinical features for predicting outpatients with rotator cuff tears

PURPOSE

The aim of this study is to develop a machine learning model to identify important clinical features related to rotator cuff tears (RCTs) using explainable artificial intelligence (XAI) for efficiently predicting outpatients with RCTs.

METHODS

A retrospective review of a local clinical registry dataset was performed to include patients with shoulder pain and dysfunction who underwent questionnaires and physical examinations between 2019 and 2022. RCTs were diagnosed by shoulder arthroscopy. Six machine-learning algorithms (Stacking, Gradient Boosting Machine, Bagging, Random Forest, Extreme Gradient Boost (XGBoost), and Adaptive Boosting) were developed for the prediction. The performance of the models was assessed by the area under the receiver operating characteristic curve (AUC), Brier scores, and Decision curve. The interpretability of the predicted outcomes was evaluated using Shapley additive explanation (SHAP) values.

RESULTS

A total of 1684 patients who completed questionnaires and clinical tests were included, and 417 patients with RCTs underwent shoulder arthroscopy. In six machining learning algorithms for predicting RCTs, the accuracy, AUC values, and Brier scores were in the range of 0.81-0.86, 0.75-0.92, and 0.15-0.19, respectively. The XGBoost model showed superior performance with accuracy, AUC, and Brier scores of 0.85(95% confidence interval, 0.82-0.87), 0.92 (95% confidence interval,0.90-0.94), and 0.15 (95% confidence interval,0.14-0.16), respectively. The Shapley plot showed the impact of the clinical features on predicting RCTs. The most important variables were Jobe test, Bear hug test, and age for prediction, with mean SHAP values of 1.458, 0.950, and 0.790, respectively.

CONCLUSION

The machine learning model successfully identified important clinical variables for predicting patients with RCTs. In addition, the best algorithm was also integrated into a digital application to provide predictions in outpatient settings. This tool may assist patients in reducing their pain experience and providing prompt treatments.

LEVEL OF EVIDENCE

Level III.

Relationship Between Preoperative Shoulder Osteoarthritis Severity Score and Postoperative PROMIS-UE Score After Rotator Cuff Repair

Background

Mild to moderate glenohumeral joint osteoarthritis is a common finding among patients who are evaluated for rotator cuff tears. However, the impact of preoperative shoulder joint degeneration on patient-reported outcomes after rotator cuff repair (RCR) is not well-established.

Purpose

To apply the magnetic resonance imaging (MRI)-based Shoulder Osteoarthritis Severity (SOAS) score to the evaluation of patients undergoing RCR and determine the relationship between preoperative shoulder pathology present on MRI and postoperative Patient-Reported Outcomes Measurement Information System-Upper Extremity (PROMIS-UE) scores.

Study Design

Case-control study; Level of evidence, 3.

Methods

Seventy-one MRI scans corresponding to 71 patients were analyzed by 2 independent reviewers and scored using the SOAS criteria. Intraclass correlation coefficients were calculated for total SOAS score as well as for each subscore. Spearman correlations were calculated between averaged SOAS scores, patient characteristics, and PROMIS-UE scores. Linear regression analysis was performed between the independent variables of patient age, sex, body mass index, and significant SOAS score components determined by univariate analysis with the dependent variable of PROMIS-UE score. Significance was defined as P < .05 for univariate analyses and < .0125 for multivariate analyses using the Bonferroni correction.

Results

The mean PROMIS-UE score of this cohort was 51.5 ± 7.4, while the mean total SOAS score was 21.5 ± 8.4. There was a negative correlation between total SOAS score and postoperative PROMIS-UE score (r = -0.24; P = .040). Both cartilage wear (r = -0.33; P = .0045) and acromioclavicular joint degeneration (r = -0.24; P = .048) individually demonstrated negative correlations with PROMIS-UE score. When a multivariate linear regression with Bonferroni correction was applied to the significant variables identified in univariate analysis along with patient characteristics, none were independently correlated with PROMIS-UE score.

Conclusion

In this cohort of patients undergoing RCR, increasing preoperative total SOAS score was predictive of lower postoperative PROMIS-UE scores. SOAS subscores with the strongest negative correlations with PROMIS-UE scores included cartilage wear and acromioclavicular joint degeneration. The cartilage subscore was negatively correlated with PROMIS-UE scores independent of patient factors in multivariate analysis.

Arthroscopic Anchorless Transosseous Rotator Cuff Repair Produces Equivalent Clinical Outcomes and Imaging Results as a Standard Suture Bridge Technique with Anchors

Purpose

To compare the clinical and imaging outcome of arthroscopic transosseous (TO)-equivalent rotator cuff repair (RCR) with anchors with arthroscopic anchorless TO RCR at a minimum of 2 years postoperatively.

Methods

The study population included patients who underwent RCR using either an anchorless TO technique with a TO suture passing device (group A) and those who were matched for tear size and underwent RCR using suture anchors for repair (group B). The inclusion criterion was an easily reducible rotator cuff tear with a sagittal extension of 2 to 4 cm. After a minimum of 2 years, clinical outcome scores and magnetic resonance imaging were obtained. Tendon quality and footprint integration were evaluated using the Sugaya classification.

Results

Seventy patients were included. A total of 45 were in group A and 25 were in group B. Group A had 2 bone tunnels and 4 sutures using an X-box configuration, and group B had a suture bridge construct of 4 anchors. Group A and B had identical anteroposterior tear size and were comparable for age. The Constant score improved from 50 ± 17.4 to 88 ± 8.6 in group A versus 48 ± 14.5 to 87 ± 7.2 in B. The Subjective Shoulder Value rose from 47 ± 19.1 to 95 ± 7.4 in group A vs from 47 ± 19.4 to 95 ± 7.6 in B. Neither the preoperative (P ≥ .502) nor postoperative scores (P ≥ .29) showed a significant difference. Magnetic resonance imaging showed 2 small retears in group A and one in B, resulting in an identical 4% retear rate. The mean Sugaya type was 2.02 versus 2.24 (P = .206) for groups A versus B.

Conclusions

Anchorless TO RCR is a valid alternative to suture anchor techniques. Clinical outcome data showed comparable results for both techniques after a follow-up of 2 years. The healing results as observed on magnetic resonance imaging were also equivalent for both groups.

Level of Evidence

Level III, retrospective comparative study.

Prognostic factors for improvement of shoulder function after arthroscopic rotator cuff repair: a systematic review

Background

The identification of factors that specify prognostic models for postoperative results should be based on the best scientific evidence and expert assessment. We aimed to identify, map, and evaluate potential prognostic factors for the improvement of shoulder function in patients undergoing arthroscopic rotator cuff repair.

Methods

Longitudinal primary studies of arthroscopic rotator cuff repair reporting any multivariable factor analyses for shoulder function improvement with an endpoint assessment of at least 6 months were included. We systematically searched EMBASE, Medline, and Scopus for articles published between January 2014 and June 2021. The risk of bias of included studies and the quality of evidence were assessed using the Quality in Prognosis Studies tool and an adapted Grading of Recommendations, Assessment, Development, and Evaluations framework.

Results

Overall, 24 studies including 73 outcome analyses were included. We classified younger age and smaller tear size as probably prognostic for a greater improvement in objective outcomes. Shorter symptom duration, absence of a worker compensation claim, low preoperative level of functional status, and high preoperative pain level were classified as probably prognostic for greater improvement in patient-reported outcome measures. The quality of the synthesized evidence was low. Twenty-one studies had an overall high risk of bias.

Conclusion

Six potential prognostic factors for shoulder function after arthroscopic rotator cuff repair were identified. Along with ongoing expert opinion assessments, they will feed into a prognostic model-building process.

[Analysis of influencing factors of early pain after arthroscopic rotator cuff repair]

OBJECTIVE

To evaluate the influencing factors that affect early pain after arthroscopic rotator cuff repair.

METHODS

A clinical data of 592 patients who met the selection criteria and underwent arthroscopic rotator cuff repair between June 2018 and October 2020 were retrospectively analyzed. There were 239 males and 353 females, with an average age of 58.1 years (range, 32-81 years). Before operation and at 3 days, 6 weeks, and 3 months after operation, the pain degree of patients was evaluated by visual analogue scale (VAS) score; and the patients were divided into no pain or mild pain group and moderate to severe pain group according to the postoperative VAS score. Preoperative and intraoperative related factors were included for univariate analysis, including age, gender, body mass index, preoperative VAS score, history of frozen shoulder, history of hypertension, history of diabetes, history of smoking, affected tendons (supraspinatus, infraspinatus, or subscapularis tendon injury), supraspinatus muscle atrophy, fatty infiltration, operation time, degree of rotator cuff tear, number of anchors, and whether to perform acromioplasty. The influencing factors of postoperative pain were screened; further logistic regression was used to conduct multivariate analysis to screen for risk factors.

RESULTS

Moderate to severe pain occurred in 440 patients (74.3%) at 3 days after operation, 382 patients (66.2%) at 6 weeks, and 141 patients (23.8%) at 3 months. Multivariate analysis showed that the women, partial-thickness rotator cuff tear, and acromioplasty were risk factors for pain at 3 days after operation ( P<0.05); the women, combined with fatty infiltration, partial-thickness rotator cuff tear, and acromioplasty were the risk factors at 6 weeks ( P<0.05); and the women, combined with fatty infiltration, and partial-thickness rotator cuff tear were risk factors at 3 months ( P<0.05).

CONCLUSION

Among patients undergoing arthroscopic rotator cuff repair, women, those with smaller rotator cuff tears, combined with fatty infiltration, and acromioplasty have more severe pain within 3 months after operation, and attention should be paid to postoperative analgesia in these patients management, providing an individualized approach to rehabilitation, and closer follow-up.

Whole-Body Reactive Agility Metrics to Identify Football Players With a Core and Lower Extremity Injury Risk

Clinical prediction models are useful in addressing several orthopedic conditions with various cohorts. American football provides a good population for attempting to predict injuries due to their relatively high injury rate. Physical performance can be assessed a variety of ways using an assortment of different tests to assess a diverse set of metrics, which may include reaction time, speed, acceleration, and deceleration. Asymmetry, the difference between right and left performance has been identified as a possible risk factor for injury. The purpose of this study was to determine the whole-body reactive agility metrics that would identify Division I football players who were at elevated risk for core, and lower extremity injuries (CLEI). This cohort study utilized 177 Division I football players with a total of 57 CLEI suffered who were baseline tested prior to the season. Single-task and dual-task whole-body reactive agility movements in lateral and diagonal direction reacting to virtual reality targets were analyzed separately. Receiver operator characteristic (ROC) analyses narrowed the 34 original predictor variables to five variables. Logistic regression analysis determined the three strongest predictors of CLEI for this cohort to be: lateral agility acceleration asymmetry, lateral flanker deceleration asymmetry, and diagonal agility reaction time average. Univariable analysis found odds ratios to range from 1.98 to 2.75 for these predictors of CLEI. ROC analysis had an area under the curve of 0.702 for any combination of two or more risk factors produced an odds ratio of 5.5 for risk of CLEI. These results suggest an asymmetry of 8-15% on two of the identified metrics or a slowed reaction time of ≥0.787 s places someone at increased risk of injury. Sixty-three percent (36/57) of the players who sustained an injury had ≥2 positive predictors In spite of the recognized limitation, these finding support the belief that whole-body reactive agility performance can identify Division I football players who are at elevated risk for CLEI.

Prediction of Shoulder Stiffness After Arthroscopic Rotator Cuff Repair

BACKGROUND

Postoperative shoulder stiffness (POSS) is a prevalent adverse event after arthroscopic rotator cuff repair (ARCR) that is associated with major limitations in everyday activities and prolonged rehabilitation.

PURPOSE/HYPOTHESIS

The purpose was to develop a predictive model for determining the risk of POSS within 6 months after primary ARCR. We hypothesized that sufficient discrimination ability of such a model could be achieved using a local institutional database.

STUDY DESIGN

Case-control study; Level of evidence, 3.

METHODS

Consecutive primary ARCRs documented in a local clinical registry between 2013 and 2017 were included, and patients who experienced POSS before the final clinical 6-month follow-up were identified. A total of 29 prognostic factor candidates were considered, including patient-related factors (n = 7), disease-related factors (n = 9), rotator cuff integrity factors (n = 6), and operative details (n = 7). We used imputed data for the primary analysis, and a sensitivity analysis was conducted using complete case data. Logistic regression was applied to develop a model based on clinical relevance and statistical criteria. To avoid overfitting in the multivariable model, highly correlated predictors were not included together in any model. A final prognostic model with a maximum of 8 prognostic factors was considered. The model's predictive accuracy was assessed by the area under the receiver operating characteristic curve (AUC). Internal validation was performed using bootstrapping.

RESULTS

Of 1330 ARCR cases (N = 1330 patients), 112 (8.4%) patients had POSS. Our final model had a moderate predictive ability with an AUC of 0.67. The predicted risks of POSS ranged from 2.3% to 38.9% and were significantly higher in women; patients with partial tears, low baseline passive shoulder abduction, and lack of tendon degeneration; and when no acromioplasty was performed.

CONCLUSION

A prognostic model for POSS was developed for patients with ARCR, offering a personalized risk evaluation to support the future decision process for surgery and rehabilitation.

Quantitative analysis of repaired rabbit supraspinatus tendons (± channeling) using magnetic resonance imaging at 7 Tesla

Background

The quantitative assessment of supraspinatus tendons by conventional magnetic resonance is limited by low contrast-to-noise ratio (CNR). Magnetic resonance imaging (MRI) scanners operating at 7 Tesla offer high signal-to noise ratio (SNR), low CNR and high spatial resolution that are well-suited for rapidly relaxing tissues like tendons. Few studies have applied T2 and T2* mapping to musculoskeletal imaging and to the rotator cuff tendons. Our objective was to analyze the T2 and T2* relaxation times from surgically repaired supraspinatus tendons and the effect of bone channeling.

Methods

One supraspinatus tendon of 112 adult female New Zealand white rabbits was surgically detached and repaired one week later. Rabbits were randomly assigned to channeling (n=64) or control (n=48) groups and harvested at 0, 1, 2, and 4 weeks. A 7T magnet was used for signal acquisition. For T2 mapping, a sagittal multi slice 2D multi-echo spin-echo (MESE) CPMG sequence with fat saturation was applied and T2* mapping was performed using a 3D UTE sequence. Magnetic resonance images from supraspinatus tendons were analyzed by two raters. Three regions of interest were manually drawn on the first T2-weighted dataset. For T2 and T2*, different ROI masks were generated to obtain relaxation times.

Results

T2-weighted maps but not T2*-weighted maps generated reliable signals for relaxation time measurement. Torn supraspinatus tendons had lower T2 than controls at the time of repair (20.0±3.4 vs. 25.6±3.9 ms; P<0.05). T2 increased at 1, 2 and 4 postoperative weeks: 22.7±3.1, 23.3±3.9 and 24.0±5.1 ms, respectively, and values were significantly different from contralateral supraspinatus tendons (24.8±3.1; 26.8±4.3 and 26.5±3.6 ms; all P<0.05). Bone channeling did not affect T2 (P>0.05).

Conclusions

Supraspinatus tendons detached for 1 week had shorter T2 relaxation time compared to contralateral as measured with 7T MRI.

The influence of psychosocial factors on patient-reported outcome measures in rotator cuff tears pre- and post-surgery: a systematic review

PURPOSE

Recent research shows that major levels of psychological distress correlate with higher pain and reduced function in patients with shoulder and rotator cuff pathology. A systematic review updating a review published in 2016 was conducted to determine the degree of consistency and the strength of association between psychosocial factors and patient-reported outcomes (PROMs) in patients with rotator cuff repair (RCR) with new high-quality literature.

METHODS

The bibliographic searches were conducted from May to June 2020 within the following databases: MEDLINE/PubMed, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, and Web of Science. The articles included should discuss the association between psychosocial factors and outcomes in patients with documented or diagnosed rotator cuff tears through clinical and/or radiological examination. The Methodological Index for Non-Randomized Studies (MINORS) tool was used to assess the methodological quality.

RESULTS

Fifteen articles were included. Negative psychosocial factors were found consistently associated with worse function and disability in the pre- and post-operative period. In particular, psychosocial factors regarding emotional or mental health were associated with a weak to a substantial degree with preoperative and postoperative function/disability and pain intensity in patients undergoing RCR.

CONCLUSION

In patients undergoing repair of the rotator cuff tear, there was a correlation between poor psychological function before surgery and worsening post-surgical outcomes, such as persistence of postoperative pain intensity and worse levels of function/disability.

Swiss-wide multicentre evaluation and prediction of core outcomes in arthroscopic rotator cuff repair: protocol for the ARCR_Pred cohort study

INTRODUCTION

In the field of arthroscopic rotator cuff repair (ARCR), reporting standards of published studies differ dramatically, notably concerning adverse events (AEs). In addition, prognostic studies are overall methodologically poor, based on small data sets and explore only limited numbers of influencing factors. We aim to develop prognostic models for individual ARCR patients, primarily for the patient-reported assessment of shoulder function (Oxford Shoulder Score (OSS)) and the occurrence of shoulder stiffness 6 months after surgery. We also aim to evaluate the use of a consensus core event set (CES) for AEs and validate a severity classification for these events, considering the patient's perspective.

METHODS AND ANALYSIS

A cohort of 970 primary ARCR patients will be prospectively documented from several Swiss and German orthopaedic clinics up to 24 months postoperatively. Patient clinical examinations at 6 and 12 months will include shoulder range of motion and strength (Constant Score). Tendon repair integrity status will be assessed by ultrasound at 12 months. Patient-reported questionnaires at 6, 12 and 24 months will determine functional scores (subjective shoulder value, OSS), anxiety and depression scores, working status, sports activities, and quality of life (European Quality of Life 5 Dimensions 5 Level questionnaire). AEs will be documented according to a CES. Prognostic models will be developed using an internationally supported regression methodology. Multiple prognostic factors, including patient baseline demographics, psychological, socioeconomic and clinical factors, rotator cuff integrity, concomitant local findings, and (post)operative management factors, will be investigated.

ETHICS AND DISSEMINATION

This project contributes to the development of personalised risk predictions for supporting the surgical decision process in ARCR. The consensus CES may become an international reference for the reporting of complications in clinical studies and registries. Ethical approval was obtained on 1 April 2020 from the lead ethics committee (EKNZ, Basel, Switzerland; ID: 2019-02076). All participants will provide informed written consent before enrolment in the study.

TRIAL REGISTRATION NUMBER

NCT04321005.

PROTOCOL VERSION

Version 2 (13 December 2019).

The COVID-19 pandemic and follow-up for shoulder surgery: The impact of a shift toward telemedicine on validated patient-reported outcomes

INTRODUCTION

The emergence of COVID-19 and its ensuing restrictions on in-person healthcare has resulted in a sudden shift towards the utilization of telemedicine. The purpose of this study is to assess patient satisfaction and patient-reported outcome measures (PROMs) for individuals who underwent follow-up for shoulder surgery using telemedicine compared to those who received traditional in-person clinic follow-up.

METHODS

Patients who underwent either rotator cuff repair or total shoulder arthroplasty during a designated pre-COVID-19 (traditional clinic follow-up) or peri-COVID-19 (telemedicine follow-up) span of time were identified. PROMs including the American Shoulder and Elbow Surgeons standardized assessment form, the three-level version of the EQ-5D form, the 12-Item Short Form survey, and a modified version of a published telemedicine survey were administered to participants six months post-operatively via phone call.

RESULTS

Sixty patients agreed to participate. There was no significant difference between the pre-COVID-19 and peri-COVID-19 groups in patient satisfaction with their follow-up visit (p = 0.289), nor was there a significant difference in PROMs between the two groups. In total, 83.33% of the telemedicine group and 70.37% of the in-person clinic group preferred traditional in-person follow-up over telemedicine.

DISCUSSION

In a cohort of patients who underwent telemedicine follow-up for shoulder surgery during the COVID-19 pandemic, there was no difference in patient satisfaction and PROMs compared to traditional in-person clinic follow-up. This study indicates that while the majority of participants preferred face-to-face visits, patients were relatively satisfied with their care and had similar functional outcome scores in both groups, despite the large disruption in healthcare logistics caused by COVID-19.