Search

Background: With an aging population, orthopedics has become one of the largest and fastest growing surgical fields. However, data on the use of critical care services (CCS) in patients undergoing orthopedic procedures remain sparse. Purpose: We sought to elucidate the prevalence and characteristics of patients requiring CCS and intermediate levels of care after orthopedic surgeries at a high-volume orthopedic medical center. Methods: We retrospectively reviewed inpatient electronic medical record data (2016–2020) at a high-volume orthopedic hospital. Patients who required CCS and intermediate levels of care, including step-down unit (SDU) and telemetry services, were identified. We described characteristics related to patients, procedures, and outcomes, including type of advanced services required and surgery type. Results: Of the 50,387 patients who underwent orthopedic inpatient surgery, 1.6% required CCS and 21.6% were admitted to an SDU. Additionally, 482 (1.0%) patients required postoperative mechanical ventilation and 3602 (7.1%) patients required continuous positive airway pressure therapy. Spine surgery patients were the most likely to require any form of advanced care (45.7%). Conclusions: This retrospective review found that approximately one-fourth of orthopedic surgery patients were admitted to units that provided critical and intermediate levels of care. These results may prove useful to hospitals in estimating needs and allocating resources for advanced and critical care services after orthopedic surgery. [ABSTRACT FROM AUTHOR]

A subset of patients undergoing total knee arthroplasty (TKA) for knee osteoarthritis develop debilitating knee stiffness (reduced range of motion) for poorly understood reasons. Dysregulated inflammatory and immune responses to surgery correlate with reduced surgical outcomes, but the dysregulated gene signatures in patients with stiffness after TKA are poorly defined. As a consequence, we are limited in our ability to identify patients at risk of developing poor surgical outcomes and develop preventative approaches. In this pilot study we aimed to identify perioperative blood gene signatures in patients undergoing TKA for knee osteoarthritis and its association with early surgical outcomes, specifically knee range of motion. To do this, we integrated clinical outcomes collected at 6 weeks after surgery with transcriptomics analyses in blood samples collected immediately before surgery and at 24 h after surgery. We found that patients with stiffness at 6 weeks after surgery have a more variable and attenuated circulating gene expression response immediately after surgery. Our results suggest that patients with stiffness following TKA may have distinct gene expression signatures detectable in peripheral blood in the immediate postoperative period. [ABSTRACT FROM AUTHOR]

Background: The development of hyponatremia after total joint arthroplasty (TJA) may lead to several adverse events and is associated with prolonged inpatient length of stay as well as increased hospital costs. The purpose of this study was to develop and internally validate machine learning algorithms for predicting hyponatremia after TJA.Methods: A consecutive cohort of 30,703 TJA patients from an institutional registry at a large, tertiary academic hospital were included. A total of 19 potential predictor variables were collected. Hyponatremia was defined as a serum sodium concentration of <135 mEq/L. Five machine learning algorithms were developed using a training set and internally validated using an independent testing set. Algorithm performance was evaluated through discrimination, calibration, decision-curve analysis, and Brier score.Results: The charts of 30,703 patients undergoing TJA were reviewed. Of those patients, 5,480 (17.8%) developed hyponatremia postoperatively. A combination of 6 variables were demonstrated to optimize algorithm prediction: preoperative serum sodium concentration, age, intraoperative blood loss, procedure time, body mass index (BMI), and American Society of Anesthesiologists (ASA) score. Threshold values that were associated with greater hyponatremia risk were a preoperative serum sodium concentration of ≤138 mEq/L, an age of ≥73 years, an ASA score of >2, intraoperative blood loss of >407 mL, a BMI of ≤26 kg/m2, and a procedure time of >111 minutes. The stochastic gradient boosting (SGB) algorithm demonstrated the best performance (c-statistic: 0.75, calibration intercept: -0.02, calibration slope: 1.02, and Brier score: 0.12). This algorithm was turned into a tool that can provide real-time predictions (https://orthoapps.shinyapps.io/Hyponatremia_TJA/).Conclusions: The SGB algorithm demonstrated the best performance for predicting hyponatremia after TJA. The most important factors for predicting hyponatremia were preoperative serum sodium concentration, age, intraoperative blood loss, procedure time, BMI, and ASA score. A real-time hyponatremia risk calculator was developed, but it is imperative to perform external validation of this model prior to using this calculator in clinical practice.Level Of Evidence: Prognostic Level IV. See Instructions for Authors for a complete description of levels of evidence. [ABSTRACT FROM AUTHOR]

Mycobacterium avium complex is a rare cause of musculoskeletal infection, usually occurring in patients with compromised immune systems. Obtaining the diagnosis requires a high index of suspicion, and treatment can be delayed because of difficulty with isolating the organism. Treatment involves prolonged, targeted combination antibiotic therapy, and it is unclear whether eradication of the infection can occur in the presence of a foreign body, such as antibiotic spacers. The authors report a case of M avium infection presenting as presumed osteonecrosis of the femoral head in a young woman with systemic lupus erythematosus. She presented with collapse of her femoral head coinciding with several months of progressive, debilitating hip pain. She had mild fevers during that time, but results from multiple infectious workups, including hip aspiration, were negative. Purulent fluid was found in the operating room, but diagnosis was delayed for 5 weeks while waiting for cultures. The patient required 3 subsequent operations, eventually being left with a resection arthroplasty. Pertinent issues concerning diagnosis, therapy, and treatment challenges in M avium infections of the musculoskeletal system are discussed in this case report. [Orthopedics. 2017; 40(3):e549-e552.]. [ABSTRACT FROM AUTHOR]

In 1994, Fischer et al. established the preoperative clinic for the perioperative services at Stanford University Medical Center. By lowering the risk of cancellation and reducing morbidity and mortality against the push to move surgeries to an outpatient, basis, they demonstrated a return on investment. In the 2000s, Aronson et al. designed the prehabilitation clinics at Duke University with the notion that the preoperative process should not only ensure that patients were appropriately risk-stratified, but also clinically optimized before surgery. With a trend towards ambulatory procedures due to current reimbursement structures, hospital administrators should be searching for potential avenues to bolster sagging profits. In this narrative review, we argue that the perioperative services needs to extend beyond the hospital into the postoperative period., Competing Interests: Declaration of competing interest Kethy M. Jules-Elysee declares that she has no conflict of interest. Alana E. Sigmund owns stock in Bristo-Meyers-Squibb and Pfizer; she declares no conflict of interest. Mitchell H. Tsai declares that he has no conflict of interest. Jeff W. Simmons declares that he has no conflict of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)