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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 PDFHome-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial.
JMIR Res Protoc
January 2025
Clinical Physiology Institute, Consiglio Nazionale delle Ricerche, Pisa, Italy.
Background: Among cardiovascular diseases, adult patients with congenital heart disease represent a population that has been continuously increasing, which is mainly due to improvement of the pathophysiological framing, including the development of surgical and reanimation techniques. However, approximately 20% of these patients will require surgery in adulthood and 40% of these cases will necessitate reintervention for residual defects or sequelae of childhood surgery. In this field, cardiac rehabilitation (CR) in the postsurgical phase has an important impact on the patient by improving psychophysical and clinical recovery in reducing fatigue and dyspnea to ultimately increase survival.
View Article and Find Full Text PDFTop Ten Tips Palliative Care Clinicians Should Know About Rheumatology.
J Palliat Med
January 2025
Department of Medicine, Division of Geriatrics and Palliative Care, Duke University School of Medicine, Durham, North Carolina, USA.
Systemic autoimmune rheumatic diseases (SARDs) consist of a broad range of immune-mediated multisystem diseases. They are chronic, incurable illnesses that often present in early to mid-life and can be associated with a high symptom burden, disability, and early mortality. Treatment guidelines for similar chronic, life-limiting conditions with uncertain disease courses now recommend palliative care (PC) assessment at the time of diagnosis.
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.
Racial and Ethnic Disparities in Use of Helicopter Transport After Severe Trauma in the US.
JAMA Surg
January 2025
Department of Anesthesiology, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York.
Importance: In the US, traumatic injuries are a leading cause of mortality across all age groups. Patients with severe trauma often require time-sensitive, specialized medical care to reduce mortality; air transport is associated with improved survival in many cases. However, it is unknown whether the provision of and access to air transport are influenced by factors extrinsic to medical needs, such as race or ethnicity.
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