Proximal Humeral Fracture

The purpose of this study is to document the performance and clinical outcomes of the A.L.P.S® Proximal Humerus Plating System. Specific Aims: * Conduct physical assessments measuring shoulder strength and range of motion, physician assessment of radiographs * Obtain patient-reported outcomes regarding pain level, function capabilities, and work/leisure restrictions * Document revisions, complications, and adverse events

Majority of previous classifications based on two-dimensional images to analyze these complicated 3-D fractures. Small or delicate changes in rotation and positioning can result to considerable disagreement in the interpretation of standard radiographs. Therefore, a classification system which had a better reliability and reproducibility for the fractures is warranted and helpful for orthopedic surgeons. Furthermore, CT and 3-D CT construction images with high resolution give a much clearer view of the pattern of proximal humeral fractures. Edelson proposed a new three-dimensional classification for fractures of the proximal humerus. The results concluded that it was a useful in classifying these injuries with reasonable interobserver reliability. It could be hypothesized that patients with proximal humeral fractures would benefit from this 3D classification, but there is a scarcity of application of the classification in large samples. T

The goal of this clinical trial is to study whether surgery results in better functional outcomes than non-surgical treatment among patients aged 50-65 with a displaced proximal humerus fracture. The main questions it aims to answer are: • Does osteosynthesis result in better patient-reported functional outcomes compared to non-surgical treatment at 12 months follow-up? Aim is also to characterize the patient group aged 50-65 regarding fracture morphology, osteoporosis, and clinical frailty scale. The study compare operation with either plate or nail fixation to non-surgical treatment. Participants will: * Receive either surgical treatment or non-surgical treatment. * At 6 months, 1 year, and 2 years, the patient will answer two short questionnaires (Oxford Shoulder Score and Eq-5D-3L). The primary outcome will be Oxford Shoulder Score at 12 months. The secondary outcome will be OSS at 6 and 24 months and EQ-5D-3L score measured at the same time-points. Adverse events and conversion to surgery will be registered. OSS and EQ-5D-3L will be completed just before the 6 months visit.

The objective of this study is to collect and evaluate long-term clinical outcomes data in order to better understand the safety and performance of the Equinoxe Proximal Humerus Fracture Plates over time. This study will follow subjects for a period of up to 10 years post-surgery.

The purpose of this study is to evaluate compare postoperative range of motion in patients who are given a sling for comfort only and allowed to start early active range of motion compared to patients who are placed in a sling for 4 weeks with passive range of motion only. Once enrolled, the patients will be randomized through computer randomization then placed in paper packets into either the immobilization group or the early range of motion group.

Our smartphones can recognize the pictures of our family, loved ones and friends. Face recognition software leverages artificial intelligence (AI), image recognition and other advanced technology to map, analyze and confirm the identity of a face. We humans do a poor job when classifying the injury related to a patient sustaining a proximal humeral fracture. In consequence, there is great heterogeneity in the treatment of proximal humerus fractures. Moreover, offering relevant information to patients regarding the risk of complications or fracture sequelae is challenging, given that the current series are based on obsolete classifications, and the published series bring together just over hundreds of patients analyzed. With these limitations, patients have few opportunities to participate in decision-making about their injury. The present project aim is to integrate new technologies for the prediction of relevant clinical results for the patients presenting a proximal humeral fracture. In brief, AI can help identify similar fracture patterns without human inference, while humans can feed the algorithm with variables of interest such as the functional outcomes and complications related to this particular type of fracture.