Nomogram for Predicting Deep Venous Thrombosis in Lower Extremity Fractures

Deep venous thrombosis (DVT) is a common complication in patients with lower extremity fractures, causing delays in recovery short-term and possible impacts on quality of life long-term. Early prediction and prevention of thrombosis can effectively reduce patient pain while improving outcomes. Although research on the risk factors for thrombosis is prevalent, there is a stark lack of clinical predictive models for DVT occurrence specifically in patients with lower limb fractures. In this study, we aim to propose a new thrombus prediction model for lower extremity fracture patients. Data from 3300 patients with lower limb fractures were collected from Wuhan Union Hospital and Hebei Third Hospital, China. Patients who met our inclusion criteria were divided into a thrombosis and a nonthrombosis group. A multivariate logistic regression analysis was carried out to identify predictors with obvious effects, and the corresponding formulas were used to establish the model. Model performance was evaluated using a discrimination and correction curve. 2662 patients were included in the regression analysis, with 1666 in the thrombosis group and 996 in the nonthrombosis group. Predictive factors included age, Body Mass Index (BMI), fracture-fixation types, energy of impact at the time of injury, blood transfusion during hospitalization, and use of anticoagulant drugs. The discriminative ability of the model was verified using the C-statistic (0.676). For the convenience of clinical use, a score table and nomogram were compiled. Data from two centers were used to establish a novel thrombus prediction model specific for patients with lower limb fractures, with verified predictive ability.

Intraoperative Intravenous Methadone and Ketamine Combination versus Intravenous Morphine and Ketamine Combination for Post-Operative Analgesia in Patients Undergoing Lower Extremity Fracture Surgery

Background: Pain management for lower extremity fracture surgeries can be challenging. The purpose of this study is to determine whether the use of ketamine and methadone are more effective than ketamine and morphine to reduce postoperative pain and morphine requirements in patients undergoing lower extremity fracture surgery. Materials and Methods: Seventy-five patients 18-65 years of age, ASA class I-III, were enrolled in this study, which scheduled for elective lower extremity orthopedic surgery involving fracture of femur or tibia were recruited for the study. Thirty-eight randomized to the Methadone group and 37 randomized into the Morphine group. Participants were randomized to either one of the two groups: methadone (2ug/kg fentanyl, 0.2 mg/kg ketamine and 0.2 mg/kg methadone IV) versus control (2 ug/kg fentanyl, 0.2mg/kg ketamine and 0.2 mg/kg morphine IV). The primary outcome was total morphine equivalent (MEQ) during the first 24 and 48 hours after surgery. Secondary outcomes included postoperative pain scores in PACU, at 24 and 48 hours, as well as postoperative nausea and vomiting (PONV). Results: There was no difference in intraoperative consumption of fentanyl between the Methadone group 360mcg and Morphine group 344mcg. In the first 24 hours postoperatively, the Methadone group consumed less MEQ compared with the Morphine group (36.1 mg vs 54.8 mg, p=0.0072), showed lower pain scores than the Morphine group (p=0.0146), and experienced more nausea and vomiting than the Morphine group. There were no differences in sedation in both groups. Conclusion: The intraoperative use of intravenous methadone significantly reduced post-operative opioid requirement in patients undergoing lower extremity fracture surgery. The results also demonstrated the methadone group had a higher rate of PONV.