Lasater clinical judgment rubric in nursing education: a Turkish validity and reliability study.

Introduction: Gaining clinical judgment competence among student nurses is a significant outcome of nursing education. In this education process, an assessment tool based on observable behaviors is needed for evaluating students' clinical judgment skills.

Objective: This study aimed to evaluate the validity and reliability of the Turkish version of the Lasater Clinical Judgment Rubric, which assesses student nurses' stages of clinical judgment competency in simulation-based education.

Radiomic Consensus Clustering in Glioblastoma and Association with Gene Expression Profiles.

Background/objectives: Glioblastoma (GBM) is the most common malignant primary central nervous system tumor with extremely poor prognosis and survival outcomes. Non-invasive methods like radiomic feature extraction, which assess sub-visual imaging features, provide a potentially powerful tool for distinguishing molecular profiles across groups of patients with GBM. Using consensus clustering of MRI-based radiomic features, this study aims to investigate differential gene expression profiles based on radiomic clusters.

Evaluation of single-layer versus double-layer suturing of low transverse uterine incisions in cesarean section and follow-up of scars by ultrasound: a prospective randomized controlled study.

Background/aim: Cesarean section (CS) is a widely performed operation worldwide but data about uterine closure are lacking. We aimed to evaluate scar niches and compare single-layer and double-layer uterine closure at 6 months following CS.

Materials And Methods: This prospective randomized trial assessed 56 women undergoing single- or double-layer uterine closure.

Total coronary revascularization via left anterior thoracotomy: Comparison of early- and mid-term results with conventional surgery.

Background: This study aimed to evaluate the efficacy and safety of total coronary revascularization via left anterior thoracotomy (TCRAT) by comparing it to conventional coronary artery bypass grafting (CABG) with median sternotomy.

Methods: In this retrospective study, 108 patients (95 males, 13 females; mean age: 57.1±8.

Midbrain volume in brain herniation: A volumetric analysis in operative traumatic brain injury.

Background: This study primarily aimed to assess the volumetric attributes of the midbrain and perimesencephalic structures preoperatively and following surgical interventions in patients diagnosed with brain herniation secondary to traumatic brain injury (TBI).

Methods: We evaluated patients based on radiological findings and clinical symptoms indicative of brain herniation. We performed semi-automated segmentation of the intracranial structures most relevant to trauma and of interest for the current study, such as hematoma, ventricles, midbrain, and perimesencephalic cisterns.

Prognostic Significance of the Controlling Nutritional Status (CONUT) Score in Patients with Muscle-Invasive Bladder Cancer after Radical Cystectomy.

Purpose: To assess the impact of the The Controlling Nutritional Status (CONUT) score, an indicator of nutritional status, on the survival and prognosis after radical cystectomy.

Materials And Methods: The medical records of patients who underwent consecutive radical cystectomy operations with the diagnosis of muscle-invasive bladder cancer at our clinic were retrospectively examined. The patients were separated into two groups based on the cut-off CONUT score which was derived using the receiver operating characteristic (ROC) curve.

Large language models in patient education: a scoping review of applications in medicine.

Introduction: Large Language Models (LLMs) are sophisticated algorithms that analyze and generate vast amounts of textual data, mimicking human communication. Notable LLMs include GPT-4o by Open AI, Claude 3.5 Sonnet by Anthropic, and Gemini by Google.

Radiomics-Based Machine Learning with Natural Gradient Boosting for Continuous Survival Prediction in Glioblastoma.

(1) Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, with an aggressive disease course that requires accurate prognosis for individualized treatment planning. This study aims to develop and evaluate a radiomics-based machine learning (ML) model to estimate overall survival (OS) for patients with GBM using pre-treatment multi-parametric magnetic resonance imaging (MRI). (2) Methods: The MRI data of 865 patients with GBM were assessed, comprising 499 patients from the UPENN-GBM dataset and 366 patients from the UCSF-PDGM dataset.

A case with recurrent idiopathic anaphylaxis episodes starting soon after COVID-19 mRNA vaccination.

Introduction: A patient was presented with a history of idiopathic recurrent anaphylaxis after administration of Pfizer BioNTech mRNA vaccine, and the attacks were controlled with omalizumab. To our knowledge, this is the first reported case of recurrent idiopathic anaphylaxis (IA) after administration of Pfizer BioNTech mRNA vaccine.

Case Presentation: A 52-year-old man with recurrent episodes of IA after COVID-19 vaccination presented to our adult Allergy and Immunology Clinic.

Chronic Leg Ischemia Caused by Arterial Bullet Embolization.

Intravascular shrapnel or bullet embolization after a gunshot injury is rare, with fewer than 200 cases reported over the past century. Military injuries typically have high energy transfer, making this phenomenon less prevalent. A 22-year-old military personnel presented with chronic leg ischemia resulting from arterial bullet embolization.

Transcriptomic imputation identifies tissue-specific genes associated with cervical myelopathy.

Background Context: Degenerative cervical myelopathy (DCM) is a progressive spinal condition that can lead to severe neurological dysfunction. Despite its degenerative pathophysiology, family history has shown to be a largely important factor in incidence and progression, suggesting that inherent genetic predisposition may play a role in pathophysiology.

Purpose: To determine the tissue-specific, functional genetic basis of hereditary predisposition to cervical myelopathy.

The MOST (Mortality Score for TBI): A novel prediction model beyond CRASH-Basic and IMPACT-Core for isolated traumatic brain injury.

Background: Due to significant injury heterogeneity, outcome prediction following traumatic brain injury (TBI) is challenging. This study aimed to develop a simple model for high-accuracy mortality risk prediction after TBI.

Study Design: Data from the American College of Surgeons (ACS) Trauma Quality Program (TQP) from 2019 to 2021 was used to develop a summary score based on age, the Glasgow Coma Scale (GCS) component subscores, and pupillary reactivity data.

Venous thromboembolism prophylaxis in operative traumatic brain injury.

Background: Venous thromboembolism (VTE) is a significant complication in patients with traumatic brain injury (TBI), but the optimal timing of pharmacological prophylaxis in operative cases remains controversial.

Methods: This retrospective study aimed to describe the timing of pharmacological prophylaxis initiation in operative TBI cases, stratified by surgery type, and to report the frequency of worsening postoperative intracranial pathology.

Results: Data from 90 surgical TBI patients were analyzed, revealing that 87.

Machine learning and radiomics for ventricular tachyarrhythmia prediction in hypertrophic cardiomyopathy: insights from an MRI-based analysis.

Background: Myocardial fibrosis is often detected in patients with hypertrophic cardiomyopathy (HCM), which causes left ventricular (LV) dysfunction and tachyarrhythmias.

Purpose: To evaluate the potential value of a machine learning (ML) approach that uses radiomic features from late gadolinium enhancement (LGE) and cine images for the prediction of ventricular tachyarrhythmia (VT) in patients with HCM.

Material And Methods: Hyperenhancing areas of LV myocardium on LGE images were manually segmented, and the segmentation was propagated to corresponding areas on cine images.