Journal of shoulder and elbow surgery
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J Shoulder Elbow Surg · Nov 2020
Randomized Controlled TrialDeltopectoral vs. deltoid split approach for proximal HUmerus fracture fixation with locking plate: a prospective RAndomized study (HURA).
This study aimed to compare the functional and clinical outcomes between the deltoid split (DS) approach and the classic deltopectoral (DP) approach for locking plate fixation of proximal humerus fractures (PHF) in a prospective randomized multicenter study. ⋯ The primary hypothesis on the superiority of the deltoid split incision was rebutted. On the basis of our study, the DP approach seems to offer better function compared with the DS approach for fixation of Neer 2 and 3 PHF fractures fixed with a locking plate.
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J Shoulder Elbow Surg · Nov 2020
The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty.
The objective is to develop and validate an artificial intelligence model, specifically an artificial neural network (ANN), to predict length of stay (LOS), discharge disposition, and inpatient charges for primary anatomic total (aTSA), reverse total (rTSA), and hemi- (HSA) shoulder arthroplasty to establish internal validity in predicting patient-specific value metrics. ⋯ Our ANN demonstrated fair to good accuracy and reliability for predicting inpatient cost, LOS, and discharge disposition in shoulder arthroplasty for both chronic/degenerative and acute/traumatic conditions. Machine learning has the potential to preoperatively predict costs, LOS, and disposition using patient-specific data for expectation management between health care providers, patients, and payers.