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Interpretable machine learning models for predicting skip metastasis in cN0 papillary thyroid cancer based on clinicopathological and elastography radiomics features.
Front Oncol
January 2025
Departments of Ultrasound, Jiading District Central Hospital Affiliated Shanghai University of Medicine &Health Sciences, Shanghai, China.
Background: Skip lymph node metastasis (SLNM) in papillary thyroid cancer (PTC) involves cancer cells bypassing central nodes to directly metastasize to lateral nodes, often undetected by standard preoperative ultrasonography. Although multiple models exist to identify SLNM, they are inadequate for clinically node-negative (cN0) patients, resulting in underestimated metastatic risks and compromised treatment effectiveness. Our study aims to develop and validate a machine learning (ML) model that combines elastography radiomics with clinicopathological data to predict pre-surgical SLNM risk in cN0 PTC patients with increased risk of lymph node metastasis (LNM), improving their treatment strategies.
View Article and Find Full Text PDFHeterogeneity in preoperative screening and decolonization strategies among healthcare institutions.
Infect Control Hosp Epidemiol
January 2025
Division of Infectious Diseases and International Medicine, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN, USA.
We surveyed 111 institutions' practices for screening and decolonization of in presurgical patients. Institutions commonly utilize universal, targeted, or no decolonization strategies. Frequently reported products were nasal mupirocin, chlorhexidine gluconate bathing, and nasal povidone-iodine.
View Article and Find Full Text PDFDevelopment and validation of an EHR-based risk prediction model for geriatric patients undergoing urgent and emergency surgery.
BMC Anesthesiol
January 2025
Kaiser Permanente Division of Research, 2000 Broadway, Oakland, CA, 94612, USA.
Background: Clinical determination of patients at high risk of poor surgical outcomes is complex and may be supported by clinical tools to summarize the patient's own personalized electronic health record (EHR) history and vitals data through predictive risk models. Since prior models were not readily available for EHR-integration, our objective was to develop and validate a risk stratification tool, named the Assessment of Geriatric Emergency Surgery (AGES) score, predicting risk of 30-day major postoperative complications in geriatric patients under consideration for urgent and emergency surgery using pre-surgical existing electronic health record (EHR) data.
Methods: Patients 65-years and older undergoing urgent or emergency non-cardiac surgery within 21 hospitals 2017-2021 were used to develop the model (randomly split: 80% training, 20% test).
Postoperative pain intensity and patient satisfaction: A multicentre observational study.
Appl Nurs Res
February 2025
Gerencia de Atención Integrada de Albacete, Castilla-La Mancha, Spain; Grupo NurSearch_CLM, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Spain.
Background: Postoperative pain remains a prevalent issue, whose intensity is often inadequately controlled. This could lead to complications, longer hospital stays and unnecessary suffering. Understanding surgical patients' perspectives on pain management can help to identify areas for improvement.
View Article and Find Full Text PDFWho Are Suitable Patients for Omitting Breast Surgery as an Exceptional Responder in Selected Molecular Subtypes of Breast Cancer After Neoadjuvant Systemic Treatment?
Medicina (Kaunas)
December 2024
Department of Medical Oncology, Sanko University Medical Faculty Gaziantep Türkiye, Gaziantep 27090, Türkiye.
: Among breast cancer molecular types, HER2 positive and triple negative (TN) subtypes have the highest likelihood of pathological complete response (pCR), which is a surrogate marker for reduced recurrence and improved patient survival after neoadjuvant systemic treatment (NST). Preoperative pathological identification of these exceptional responders is a new era. Therefore, we aimed to determine the accuracy of trucut biopsy in identifying the exceptional responders in selected molecular subtypes of breast cancer patients.
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