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Self-care concept for people with elimination ostomy: a scoping review.
Rev Esc Enferm USP
December 2024
Universidade Federal de Minas Gerais, Escola de Enfermagem, Belo Horizonte, MG, Brazil.
Objective: To analyze the literature for terminology, classifications, and factors influencing the adoption of self-care in people with an elimination ostomy.
Method: Scoping review, according to JBI methodology and, for structuring the article, the extension of the PRISMA checklist. The search included studies from 2018 to 2023, in four databases, with specific descriptors and alternative terms.
Complications and Cost in Open Versus Endoscopic Lumbar Decompression: A Database Study.
Clin Spine Surg
January 2025
Department of Orthopaedic Surgery, University of Pennsylvania, Philadelphia.
Study Design: A retrospective database study.
Objective: To compare complications and costs associated with endoscopic and open lumbar decompression on a large scale.
Background: Though open lumbar decompression is considered the gold standard, endoscopic procedures are on the rise.
Validation of the International Trauma Interview (ITI) among treatment-seeking people with adverse childhood experiences in South Korea.
Eur J Psychotraumatol
December 2025
Psychology and Psychological Therapies Directorate, Cardiff & Vale University Health Board, Cardiff, UK.
The International Trauma Interview (ITI) is a clinician-administered assessment that has been newly developed for the International Classification of Diseases (ICD-11) diagnoses of posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD). The current study evaluated the psychometric properties of the ITI for treatment-seeking people with adverse childhood experiences (ACE) in South Korea, with the aims of verifying the validity and reliability of ITI as well as examining the differentiation of ICD-11 CPTSD and borderline personality disorder (BPD). In total, data of 103 people were analysed.
View Article and Find Full Text PDFPrediction of Cisplatin-Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information.
Clin Transl Sci
January 2025
Department of Regulatory Science, Nagoya City University Graduate School of Pharmaceutical Sciences, Nagoya, Japan.
Predicting cisplatin-induced acute kidney injury (Cis-AKI) before its onset is important. We aimed to develop a predictive model for Cis-AKI using patient clinical information based on an interpretable machine learning algorithm. This single-center retrospective study included hospitalized patients aged ≥ 18 years who received the first course of cisplatin chemotherapy from January 1, 2011, to December 31, 2020, at Nagoya City University Hospital.
View Article and Find Full Text PDFComparing predictive risk to actual presence of coronary atherosclerosis on coronary computed tomography angiography.
Am Heart J Plus
January 2025
The University of Notre Dame Australia, Fremantle, WA, Australia.
Background: There is limited data showing the predictive accuracy of traditional cardiovascular risk scores (CVRS) to predict asymptomatic coronary artery disease (CAD) determined by coronary computed tomography angiography (CCTA).
Methods: Asymptomatic individuals without known CAD undergoing a screening CCTA and sufficient data to calculate their CVRS, were extracted retrospectively. Atherosclerosis was extracted using natural language processing of the CCTA report, including the coronary artery calcium score (CACS) and the extent and severity of CAD.
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