Unplanned intubation after total hip and total knee arthroplasty: Assessing preoperative risk factors.

OBJECTIVE: The purpose of this study is to assess preoperative patient attributes as risk factors for unplanned intubation after primary total knee and total hip arthroplasty. METHODS: This was a retrospective analysis of data collected from the National Surgical Quality Improvement Program (NSQIP) database. Patients undergoing Total Hip Arthroplasty (THA) or Total Knee Arthroplasty (TKA) who experienced postoperative intubation were included in the study. A multivariate regression was used to assess preoperative characteristics as risk factors for postoperative intubation. RESULTS: Multivariate regression determined that perioperative transfusion of packed RBC's, cardiac comorbidities, patients older than 73, dyspnea with moderate exertion, dyspnea while at rest, diabetes mellitus requiring medical therapy, pulmonary comorbidities, current dialysis usage, body mass index greater than 29.9, and current smoker within the last year were variables associated with an increased risk of unplanned intubation after THA. Additionally, multivariate regression determined that anemia, perioperative transfusion of packed RBC's, cardiac comorbidities, patients older than 73, dyspnea with moderate exertion, diabetes mellitus requiring medical therapy, pulmonary comorbidities, and current dialysis usage were associated with unplanned intubation after TKA. CONCLUSION: This study identifies numerous risk factors for intubation after THA or TKA.

Autonomous lumbar spine pedicle screw planning using machine learning: A validation study.

INTRODUCTION: Several techniques for pedicle screw placement have been described including freehand techniques, fluoroscopy assisted, computed tomography (CT) guidance, and robotics. Image-guided surgery offers the potential to combine the benefits of CT guidance without the added radiation. This study investigated the ability of a neural network to place lumbar pedicle screws with the correct length, diameter, and angulation autonomously within radiographs without the need for human involvement. MATERIALS AND METHODS: The neural network was trained using a machine learning process. The method combines the previously reported autonomous spine segmentation solution with a landmark localization solution. The pedicle screw placement was evaluated using the Zdichavsky, Ravi, and Gertzbein grading systems. RESULTS: In total, the program placed 208 pedicle screws between the L1 and S1 spinal levels. Of the 208 placed pedicle screws, 208 (100%) had a Zdichavsky Score 1A, 206 (99.0%) of all screws were Ravi Grade 1, and Gertzbein Grade A indicating no breech. The final two screws (1.0%) had a Ravi score of 2 (<2 mm breech) and a Gertzbein grade of B (<2 mm breech). CONCLUSION: The results of this experiment can be combined with an image-guided platform to provide an efficient and highly effective method of placing pedicle screws during spinal stabilization surgery.

Preoperative Risk Factors for Postoperative Urinary Tract Infection After Primary Total Hip and Knee Arthroplasties.

BACKGROUND: Establishing clear risk factors for complications such as urinary tract infection (UTI) after arthroplasty procedures helps guide clinical practice and provides more information to both surgeons and patients. This study aims to assess selected preoperative patient characteristics as risk factors for postoperative UTI after primary total hip and knee arthroplasties (THA and TKA). METHODS: This was a retrospective analysis using current procedural terminology codes to investigate the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database for patients who underwent THA or TKA from 2010 to 2017. Patients were classified for UTI by NSQIP guidelines. Patient samples with all possible covariates were included for multivariate logistic regression analysis and assessed for independent associations. RESULTS: In a cohort of 983 identified patients (983 of 119,096; 0.83%): ages 57+ years, preoperative red blood cell (RBC) transfusion, perioperative RBC transfusion, bleeding disorders, operative time 110+ minutes, preoperative steroid use, diabetes, pulmonary comorbidities, body mass index 30+ kg/m2 were independent risk factors for postoperative UTI after THA. In a cohort of 1503 identified patients (1503 of 189,327; 0.8%): ages 60+ years, preoperative RBC transfusion, perioperative RBC transfusion, anemia, platelets less than 150k, preoperative steroid use, diabetes, and body mass index 30+ kg/m2 were independent risk factors for postoperative UTI after TKA. Male sex was associated with a decreased risk of UTI in both THA and TKA. CONCLUSION: This study provides novel evidence on risk factors associated with the development of UTI after THA or TKA. Clinicians should be aware of risk factors in the manifestation of postoperative UTI after primary THA or TKA procedures.