Search

Background: The coronavirus-2019 (COVID-19) pandemic highlighted the unfortunate reality that many hospitals have insufficient intensive care unit (ICU) capacity to meet massive, unanticipated increases in demand. To drastically increase ICU capacity, NewYork-Presbyterian/Weill Cornell Medical Center modified its existing operating rooms and post-anaesthesia care units during the initial expansion phase to accommodate the surge of critically ill patients. Methods: This retrospective chart review examined patient care in non-standard Expansion ICUs as compared to standard ICUs. We compared clinical data between the two settings to determine whether the expeditious development and deployment of critical care resources during an evolving medical crisis could provide appropriate care. Results: Sixty-six patients were admitted to Expansion ICUs from March 1st to April 30th, 2020 and 343 were admitted to standard ICUs. Most patients were male (70%), White (30%), 45–64 years old (35%), non-smokers (73%), had hypertension (58%), and were hospitalized for a median of 40 days. For patients that died, there was no difference in treatment management, but the Expansion cohort had a higher median ICU length of stay (q = 0.037) and ventilatory length (q = 0.015). The cohorts had similar rates of discharge to home, but the Expansion ICU cohort had higher rates of discharge to a rehabilitation facility and overall lower mortality. Conclusions: We found no significantly worse outcomes for the Expansion ICU cohort compared to the standard ICU cohort at our institution during the COVID-19 pandemic, which demonstrates the feasibility of providing safe and effective care for patients in an Expansion ICU. [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]

Acetaminophen (APAP) and intravenous acetaminophen (IVAPAP) has been proposed as a part of many opioid-sparing multimodal analgesic pathways. The aim of this analysis was to compare the effectiveness of IVAPAP with oral APAP on opioid utilization and opioid-related adverse effects. Retrospective study of population-based database. The Premier Healthcare database was queried patients undergoing surgery for a primary diagnosis of hip fracture from 2011 to 2019 yielding 245,976 patients. Primary exposure was use of IVAPAP or oral APAP on the day of surgery. None. The primary outcome of interest was opioid utilization over the hospital stay, secondary outcomes included opioid-related adverse effects, length, and costs of hospital stay. Mixed effect models measured the association of IVPAP and APAP and outcomes. In the study population 30.67% (75,445) received at least 1 dose of IVAPAP on the day of surgery. Upon adjusting for relevant covariates, patients who received IVPAP on the day of surgery had slightly higher opioid use standardized by length of hospital stay (2.8% CI: 2%, 3.6%; p <.001), higher hospital cost (2.7% CI: 2.1%, 3.4%), and higher odds of naloxone use (1.18, CI: 1.1, 1.27; p <.001) when compared with patients who received oral APAP. In this population, IVAPAP use on the day of surgery failed to reduce opioid use or associated opioid related adverse effects when compared with oral APAP. IVAPAP was associated with increased overall costs, opioid requirements, and naloxone use. These results do not support the use of IV over oral APAP routinely for hip fracture surgery patients. • IVAPAP use on the day of surgery failed to reduce opioid related adverse effects when compared with oral APAP. • IVAPAP was associated with increased overall costs, opioid requirements, and naloxone use when compared with oral APAP. • These results do not support the use of IV over oral APAP routinely for hip fracture surgery patients. [ABSTRACT FROM AUTHOR]