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Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study.
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
View Article and Find Full Text PDFExternal Validation of the Walter Index for Posthospitalization Mortality Prediction in Older Adults.
JAMA Netw Open
January 2025
Division of Geriatrics, School of Medicine, University of California San Francisco.
Importance: The Walter Index is a widely used prognostic tool for assessing 12-month mortality risk among hospitalized older adults. Developed in the US in 2001, its accuracy in contemporary non-US contexts is unclear.
Objective: To evaluate the external validity of the Walter Index in predicting posthospitalization mortality risk in Brazilian older adult inpatients.
Severe Lymphopenia Predicts Poorer Survival in Patients With Rectal Cancer Undergoing Neoadjuvant Chemoradiation.
Cancer J
January 2025
From the Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA.
Purpose: Chemoradiation-induced lymphopenia is common and associated with poorer survival in multiple solid malignancies. However, the association between chemoradiation-related lymphopenia and survival outcomes in rectal cancer is yet unclear. The objective of this study was to evaluate the prognostic impact of lymphopenia and its predictors in patients with rectal cancer undergoing neoadjuvant chemoradiation.
View Article and Find Full Text PDFPerformance of the FORD Versus Other Available Models for the Noninvasive Prediction of Pulmonary Hypertension in Patients with Interstitial Lung Disease.
Lung
January 2025
Advanced Lung Disease and Transplant Program, Inova Heart and Vascular Institute, Inova Fairfax Hospital, 3300 Gallows Road, Falls Church, VA, 22042, USA.
Purpose: Pulmonary hypertension (PH) is associated with morbidity and mortality in patients with interstitial lung disease (ILD). Several prediction models have been proposed to predict PH in ILD patients. We sought to discern how previously described prediction models perform in predicting PH in patients with ILD.
View Article and Find Full Text PDFEvaluation of the predictive value of the glucose-to-potassium ratio in predicting in-hospital mortality of patients with sepsis and septic shock.
Med Klin Intensivmed Notfmed
January 2025
Ankara Training and Research Hospital, Department of Emergency Medicine, University of Health Sciences, Ankara, Turkey.
Background: In this study, we aimed to evaluate the role of the glucose-to-potassium ratio in predicting in-hospital mortality and prognosis of patients diagnosed with sepsis and septic shock in an emergency department and admitted to an emergency critical intensive care unit (ICU).
Methods: This study was a retrospective and observational evaluation of nontraumatic sepsis and septic shock patients > 18 years of age who were admitted to the emergency department of a tertiary training and research hospital and had available glucose and potassium values at the time of admission. The patients were evaluated over a 24-month period.
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