Outcomes following Humeral Head Autograft Glenoid Reconstruction in Primary Reverse Total Shoulder Arthroplasty.

BACKGROUND: Patients with severe glenoid bone loss are at increased risk for poor implant fixation, scapular notching, dislocation, joint kinematic disturbances, and prosthetic failure following reverse total shoulder arthroplasty (rTSA). Glenoid bone grafting has proven useful when performing rTSA in patients with inadequate glenoid bone stock, although the current literature is limited. The purpose of this study is to evaluate clinical outcomes in patients with significant glenoid deformity undergoing primary rTSA with one-stage glenoid reconstruction using a humeral head autograft. METHODS: A database of prospectively enrolled patients was reviewed to identify patients who underwent primary rTSA with humeral head autograft (n=40) between 2008 and 2020 by six high-volume shoulder arthroplasty surgeons with minimum two-year follow-up. Variables studied included demographics, medical comorbidities, range of motion (ROM), Constant score, American Shoulder and Elbow Surgeons (ASES) score, pain score, patient satisfaction, glenoid deformity, revisions and complications. Preoperative glenoid deformity was characterized using glenoid version and beta-angles, measured on computed tomography (CT). Improvement at final follow-up was compared to a matched control group of 120 standard primary rTSA patients. Following the post hoc Bonferroni correction, an adjusted alpha value of 0.004 was used to define statistical significance. RESULTS: Forty patients were included with a mean follow-up of 5.3 (range, 2.0-13.2) years. Patients exhibited a mean preoperative glenoid retroversion and beta-angle of 29° and 80°, respectively. At final follow-up, patients who received a graft exhibited lower mean scores for active external rotation (25° vs. 39°; p = 0.001) in comparison to those who did not receive a graft. No differences were observed in active abduction (p = 0.029), active forward elevation (p = 0.009), active internal rotation (p = 0.147), passive external rotation (p = 0.082), Global Shoulder Function score (p = 0.157), Constant score (p = 0.036), ASES score (p = 0.009), or pain score (p = 0.186) between groups. Seven patients (17.5%) exhibited complications of which the most common being aseptic glenoid loosening (15%). CONCLUSION: This study demonstrates that patients undergoing primary rTSA with autogenous humeral head autograft for severe glenoid deficiency experience postoperative improvements in ROM and functional outcome scores that exceeded the minimal clinically important difference and substantial clinical benefit but inferior to matched controls. This suggests that glenoid reconstruction using a resected humeral head autograft is an effective strategy when conducting primary rTSA in patients with significant glenoid deformity.

Deep learning provides high accuracy in automated chondrocyte viability assessment in articular cartilage using nonlinear optical microscopy.

Chondrocyte viability is a crucial factor in evaluating cartilage health. Most cell viability assays rely on dyes and are not applicable for in vivo or longitudinal studies. We previously demonstrated that two-photon excited autofluorescence and second harmonic generation microscopy provided high-resolution images of cells and collagen structure; those images allowed us to distinguish live from dead chondrocytes by visual assessment or by the normalized autofluorescence ratio. However, both methods require human involvement and have low throughputs. Methods for automated cell-based image processing can improve throughput. Conventional image processing algorithms do not perform well on autofluorescence images acquired by nonlinear microscopes due to low image contrast. In this study, we compared conventional, machine learning, and deep learning methods in chondrocyte segmentation and classification. We demonstrated that deep learning significantly improved the outcome of the chondrocyte segmentation and classification. With appropriate training, the deep learning method can achieve 90% accuracy in chondrocyte viability measurement. The significance of this work is that automated imaging analysis is possible and should not become a major hurdle for the use of nonlinear optical imaging methods in biological or clinical studies.

Beware of Reversal of an Anticoagulated Patient with Factor IX in the Emergency Department: Case Report of a Medical-Legal Misadventure.

In this article we present a case of a patient who received reversal of anticoagulation therapy with factor IX in violation of hospital guidelines. As a direct result, myocardial infarction and ischemic stroke occurred, leaving the patient neurologically debilitated. Factor IX is indicated in the setting of warfarin-induced, life-threatening bleeding. The patient's care was provided by an intern with attending physician supervision. Delayed charting and questionable shared decision-making were present in the care. We discuss usage of factor IX, liability for supervision of physicians in training, and factors that can lead to plaintiff awards.