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TREM2 alleviates sepsis-induced acute lung injury by attenuating ferroptosis via the SHP1/STAT3 pathway.
Free Radic Biol Med
January 2025
Department of Anesthesiology, Guangxi Medical University Cancer Hospital, Nanning 530021, Guangxi Zhuang Autonomous Region, China; Key Laboratory for Basic Science and Prevention of Perioperative Organ Disfunction, Guangxi Medical University Cancer Hospital, Nanning 530021, Guangxi Zhuang Autonomous Region, China. Electronic address:
Sepsis-induced acute lung injury (ALI) is a complex and life-threatening condition characterized by excessive inflammatory responses, ferroptosis, and oxidative stress. A comprehensive investigation and effective therapeutic strategies are crucial for managing this condition. In this study, we established in vivo sepsis models using lipopolysaccharide (LPS) in wild-type (WT) mice and triggering receptor expressed on myeloid cells 2 (TREM2) knockout (TREM2-KO) mice to assess lung morphology, oxidative stress, and ferroptosis.
View Article and Find Full Text PDFOrthopaedic Surgery in the Jehovah's Witness Patient: Clinical, Ethical, and Legal Considerations.
J Bone Joint Surg Am
January 2025
Department of Orthopedic Surgery, Warren Alpert Medical School, Brown University, Providence, Rhode Island.
➢ Jehovah's Witnesses refuse allogeneic blood products based on religious beliefs that create clinical, ethical, and legal challenges in orthopaedic surgery, requiring detailed perioperative planning and specific graft selection.➢ Detailed perioperative planning is particularly important for procedures with high intraoperative blood loss.➢ Graft selection must align with Jehovah's Witnesses patients' religious beliefs, with options including autografts, allografts, and synthetic materials; this requires shared decision-making between the patient and surgeon.
View Article and Find Full Text PDFA Novel Preoperative Scoring System to Accurately Predict Cord-Level Intraoperative Neuromonitoring Data Loss During Spinal Deformity Surgery: A Machine-Learning Approach.
J Bone Joint Surg Am
November 2024
Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY.
Background: An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists.
Methods: A total of 1,106 patients with spinal deformity and 205 perioperative variables were included. A stepwise machine-learning (ML) approach using random forest (RF) analysis and multivariable logistic regression was performed.
Perioperative Management, Complications, and Outcomes of Shoulder Arthroplasty in Patients with Diabetes Mellitus.
JBJS Rev
January 2025
Department of Orthopaedic Surgery, University of California Davis, Sacramento, California.
» Patients with diabetes mellitus (DM) undergoing shoulder arthroplasty (SA) have a unique risk profile, which must be considered by clinicians.» The presence of DM as a comorbidity is associated with longer length of stay following SA, greater likelihood of nonhome discharge, and a higher rate of 90-day readmission.» Though the incidence is low, patients with DM are at an increased risk of serious postoperative cardiovascular complications, such as pulmonary embolism, venous thromboembolism, and myocardial infarction.
View Article and Find Full Text PDFA Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study.
J Med Internet Res
January 2025
Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
Objective: This study used machine learning (ML) algorithms with an aim to extract critical predictors and develop an ML model to predict PND among LT recipients.
Methods: In this retrospective study, data from 958 patients who underwent LT between January 2015 and January 2020 were extracted from the Third Affiliated Hospital of Sun Yat-sen University.
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