Publications by authors named "T M Loftus"
Introduction: Despite continued improvement in post-sepsis survival, long term morbidity and mortality remain high. Chronic critical illness (CCI), defined as persistent inflammation and organ injury requiring prolonged intensive care, is a harbinger of poor long-term outcomes in sepsis survivors. Current dogma states that sepsis survivors are immunosuppressed, particularly in CCI.
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- The algorithmic patient preference predictor (PPP) aims to help make decisions for incapacitated patients when there are no advanced directives, highlighting both ethical challenges and practical issues in personalizing predictions.
- A review of studies found 68 using machine learning to predict patient-reported outcome measures (PROMs), with orthopedic and spinal surgeries being the most common focus; however, overall predictive performance was generally poor to moderate.
- Pre-event PROMs emerged as key predictors of post-event outcomes, indicating the need to integrate patient preferences into developing personalized PPP models, which currently lack adequate fairness assessments.
Background: The Surgical Infection Society (SIS) guidelines recommend against the use of surgical antibiotic prophylaxis (SAP) for low-risk patients undergoing elective laparoscopic cholecystectomies.
Methods: Using National Surgical Quality Improvement Program (NSQIP) data, 5440 pediatric patients were identified who underwent laparoscopic cholecystectomy from 2021 to 2022. Patients who had immunodeficiency, active malignancy, American Society of Anesthesiologists (ASA) physical status classification 3-5, procedure indicated for infection, emergent procedure, received intravenous antibiotics before the prophylaxis window, or missing SAP data were excluded.