PURPOSE: The purpose is to utilize an artificial neural network (ANN) model to determine the most important variables in predicting mortality following total hip arthroplasty (THA). METHODS: Patients that underwent primary THA were included from a national database. Demographic, preoperative, and intraoperative variables were analyzed based on their contribution to 30-day mortality with the use of an ANN model. RESULTS: The five most important factors in predicting mortality following THA were preoperative international normalized ratio, age, body mass index, operative time, and preoperative hematocrit. CONCLUSION: ANN modeling represents a novel approach to determining perioperative factors that predict mortality following THA.
PURPOSE: The purpose is to utilize an artificial neural network (ANN) model to determine the most important variables in predicting mortality following total hip arthroplasty (THA). METHODS: Patients that underwent primary THA were included from a national database. Demographic, preoperative, and intraoperative variables were analyzed based on their contribution to 30-day mortality with the use of an ANN model. RESULTS: The five most important factors in predicting mortality following THA were preoperative international normalized ratio, age, body mass index, operative time, and preoperative hematocrit. CONCLUSION: ANN modeling represents a novel approach to determining perioperative factors that predict mortality following THA.
Authors: Sergio M Navarro; Heather S Haeberle; Michael A Mont; Viktor E Krebs; Brendan M Patterson; Prem N Ramkumar Journal: J Arthroplasty Date: 2019-01-31 Impact factor: 4.757
Authors: Matthew J Grosso; Venkat Boddapati; H John Cooper; Jeffrey A Geller; Roshan P Shah; Alexander L Neuwirth Journal: J Arthroplasty Date: 2020-01-16 Impact factor: 4.757
Authors: Catherine J McDougall; Hamish S Gray; Philip M Simpson; Sarah L Whitehouse; Ross W Crawford; William J Donnelly Journal: J Arthroplasty Date: 2013-01 Impact factor: 4.757
Authors: Jun S Kim; Robert K Merrill; Varun Arvind; Deepak Kaji; Sara D Pasik; Chuma C Nwachukwu; Luilly Vargas; Nebiyu S Osman; Eric K Oermann; John M Caridi; Samuel K Cho Journal: Spine (Phila Pa 1976) Date: 2018-06-15 Impact factor: 3.241