Interpretable machine learning model for predicting postoperative hypoproteinemia in middle-aged and elderly patients following total joint arthroplasty: a multicenter retrospective study (opens in new tab)

BackgroundPostoperative hypoproteinemia is a prevalent yet frequently overlooked complication following total hip or knee arthroplasty (TJA), adversely impacting wound healing and postoperative recovery in patients. This study aims to identify and evaluate the risk factors associated with hypoproteinemia in middle-aged and elderly patients after TJA, as well as to develop and validate an interpretable machine learning model for predicting high-risk patients promptly.Materials and methodThis s...