Anterior and Posterior Ocular Changes in Patients with Active and Inactive Ankylosing Spondylitis.

BACKGROUND The 6-item Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) is a method for evaluating disease activity in ankylosing spondylitis (AS). This study included 78 patients with active and inactive AS and aimed to evaluate anterior and posterior segment ocular changes. MATERIAL AND METHODS Seventy-eight patients and 70 control subjects were enrolled in this study.

Predictive Value of Inflammatory Scores for Left Atrium Thrombosis in Ischemic Stroke Without Atrial Fibrillation.

: Studies have shown that inflammation markers can be used as prognostic tools in predicting acute ischemic stroke. In this study, we conducted a comparison of several inflammation scores in predicting left atrial thrombosis (LAT) in patients with ischemic stroke without AF. : In this single-center, retrospective study, we included 303 consecutive patients with ischemic stroke.

Analyzing the Effect of Factors on Individuals' Subjective Well-Being with Quantile Bayesian Structural Equation Modeling Approach.

This study investigates factors influencing individuals' levels of subjective well-being by examining fundamental variables, called life domains, such as satisfaction with health, education, marriage, housing district, work life, social life, relationships, and public services. The aim is to understand how these domains affect various quantile values of subjective well-being. To achieve this, the Life Satisfaction Survey dataset for 2020, obtained from the Turkish Statistical Institute, was utilized, and Bayesian Quantile Structural Equation Modeling and Bayesian Structural Equation Modeling methods were applied.

A Comprehensive CNN Model for Age-Related Macular Degeneration Classification Using OCT: Integrating Inception Modules, SE Blocks, and ConvMixer.

: Age-related macular degeneration (AMD) is a significant cause of vision loss in older adults, often progressing without early noticeable symptoms. Deep learning (DL) models, particularly convolutional neural networks (CNNs), demonstrate potential in accurately diagnosing and classifying AMD using medical imaging technologies like optical coherence to-mography (OCT) scans. This study introduces a novel CNN-based DL method for AMD diagnosis, aiming to enhance computational efficiency and classification accuracy.

In Vivo Evidence for the Preventive Role of Vaccinium macrocarpon Aiton in Indomethacin-Induced Gastric Ulcer: Focusing on Antioxidant, Anti-Inflammatory and Anti-Apoptotic Mechanisms.

The present study aimed to unveil the gastroprotective potential of Vaccinium macrocarpon (VM) extract and its mechanism of action against indomethacin (INDO)-induced gastric ulcers in rats. To achieve this goal, rats were pretreated with either omeprazole (20 mg/kg) or VM (100 mg/kg) orally for 14 consecutive days. Gastric tissue samples were collected and various parameters were evaluated to understand the mechanism of VM's action, including the levels of superoxide dismutase, malondialdehyde, glutathione, CAT and transforming growth factor beta (TGF-β), as well as the mRNA expression levels of tumour necrosis factor alpha, interleukin 1 beta, nuclear factor kappa B (NF-κB) and inhibitor kappa B (IκB).

Polymer-siRNA nanovectors for treating lung inflammation.

Uncontrolled inflammation is the driver of numerous lung diseases. Current treatments, including corticosteroids and bronchodilators, can be effective. However, they often come with notable side effects.

Long-term Impact of Continuous Glucose Monitoring Assistance on Glycemic Control in Children and Adolescents with Type 1 Diabetes Following the 2023 Kahramanmaraş Earthquake.

Objective: This study aimed to evaluate the impact of continuous glucose monitoring (CGM) assistance on glycemic control in children with type 1 diabetes (T1D) in earthquake-affected regions, comparing those who benefited from CGM with those who did not. Additionally, the study assessed changes in CGM metrics over nine months of CGM use.

Methods: A multicenter, cross-sectional study was conducted across 11 centers in Türkiye.

Comparative analysis of protein expression profiles with genotypes in the diagnosis of Inborn Errors of Immunity.

Background: Inborn Errors of Immunity (IEIs) are genetic diseases resulting from harmful genetic variations that hinder the proper functioning of the immune system. The broad range of IEIs involves multiple systems, presenting characteristics similar to allergies, autoimmune or inflammatory diseases, and malignancies. Given this complexity, there is an urgent need for a precise multi-parametric molecular diagnostic approach.

Knowledge and Attitudes of Faculty of Health Sciences Students towards Hematopoietic Stem Cell Donation.

Hematopoietic stem cell transplantation is a life-saving treatment method for numerous diseases. This study aims to determine the knowledge and attitudes of Faculty of Health Sciences students in a university towards hematopoietic stem cell donation and descriptive cross-sectional design.   The study participants consisted of students studying at the Faculty of Health Sciences of a university in western Turkey.

Exploring the GSTP1 inhibition potential of photosensitizer compounds for enhanced cancer treatment in photodynamic therapy.

Photodynamic therapy (PDT) has gained considerable attention in cancer treatment due to its non-invasive nature and the ability of photosensitizers to generate reactive oxygen species upon light activation, leading to tumor destruction. Glutathione S-transferase P1 (GSTP1) is a key enzyme in chemotherapy resistance, often overexpressed in various cancers, and its inhibition of GSTP1 presents a promising strategy to enhance cancer treatment. This study is aimed at assessing the potential of prominent photosensitizers as GSTP1 inhibitors through molecular docking analysis to strengthen the efficacy of PDT.

An overview of patients with intertrochanteric femoral fractures treated with proximal femoral nail fixation using important criteria.

Background: This study aimed to assess important criteria, including osteoporosis, fracture type, implant position within the bone, fracture reduction, and radiographic union, in patients with intertrochanteric femoral fractures treated with proximal femoral nail (PFN) fixation and to show their effect on clinical outcomes.

Methods: PFN fixation was applied in 73 patients (41 females, 32 males; mean age: 64.5 ± 6.

Resistance to Epoetin-Stimulating Agents in Children Receiving Renal Replacement Therapy.

The incidence of anemia increases with the stage of chronic kidney disease (CKD). Erythropoietin (EPO) deficiency is a common cause of anemia in CKD. Erythropoietin-stimulating agents (ESAs) are the mainstay of the treatment.

Predicting Severe Respiratory Failure in Patients with COVID-19: A Machine Learning Approach.

Studies attempting to predict the development of severe respiratory failure in patients with a COVID-19 infection using machine learning algorithms have yielded different results due to differences in variable selection. We aimed to predict the development of severe respiratory failure, defined as the need for high-flow oxygen support, continuous positive airway pressure, or mechanical ventilation, in patients with COVID-19, using machine learning algorithms to identify the most important variables in achieving this prediction. This retrospective, cross-sectional study included COVID-19 patients with mild respiratory failure (mostly receiving oxygen through a mask or nasal cannula).

Assessment of the Mandibular Osseous Architecture in Cleft Lip and Palate Using Fractal Dimension Analysis: A Pilot Study.

: Although there has been extensive research on the orofacial morphologic effects of cleft lip and palate (CLP), the effects of CLP on mandibular structures remain largely unknown. The aim of this study was to investigate the trabeculation differences in the mandibular osseous architecture of patients with bilateral CLP (BCLP) and left-sided unilateral CLP (UCLP) using fractal dimension (FD) analysis and to compare these findings with healthy controls without CLP. : A total of 63 patients (27 females, 36 males) with a mean age of 9.

ChatGPT versus expert feedback on clinical reasoning questions and their effect on learning: a randomized controlled trial.

Purpose: To evaluate the effectiveness of ChatGPT-generated feedback compared to expert-written feedback in improving clinical reasoning skills among first-year medical students.

Methods: This is a randomized controlled trial conducted at a single medical school and involved 129 first-year medical students who were randomly assigned to two groups. Both groups completed three formative tests with feedback on urinary tract infections (UTIs; uncomplicated, complicated, pyelonephritis) over five consecutive days as a spaced repetition, receiving either expert-written feedback (control, n = 65) or ChatGPT-generated feedback (experiment, n = 64).

Geometric Reconstruction of Cartilage Tissue With Mesenchymal Stem Cell-Assisted Electromechanical Reshaping: An Experimental Study.

Shaping the ear cartilage and preserving the shape are important and quite difficult. The aim of this study was to demonstrate the effectiveness of the Wharton's jelly-derived stem cell-assisted electromechanical reshaping method in a rabbit ear cartilage defect model and to compare it with surgical reshaping.For the purpose of 25 × 4-mm cartilage defect reconstruction, 48 rabbit ears were divided into 2 main groups according to the shaping method, and these main groups were divided into 3 subgroups according to stem cell injection: control, sham, and stem cell.

A Novel Variant of the CTSD Gene Associated with Juvenile-onset Neuronal Ceroid Lipofuscinosis Type 10: A Case Report and Literature Review.

Neuronal ceroid lipofuscinosis type 10 (NCL10) is a rare progressive neurodegenerative disease associated with homozygous or compound heterozygous mutations in the CTSD gene encoding cathepsin D protein. It is classified as congenital, infantile, or juvenile NCL10 according to the age at onset of symptoms. Six cases of juvenile onset NCL10 (JNCL10) have been reported thus far in the literature.

Transcatheter pulmonary artery debanding: Is it effective in every patient?

Background: This study aimed to present our experience with transcatheter pulmonary debanding, focusing on patient outcomes.

Methods: The retrospective study was conducted with 32 patients (17 males, 15 females; mean age: 3.6±2 years; range, 0.

Systematic review of survey/questionnaire-based drug utilization studies in Turkiye.

Objective: Drug utilization studies (DUS), providing insights into various aspects of pharmacoepidemiology from prescribing to medication use, can be conducted through real-world data from health records and survey-based data. In this study, we aimed to describe survey/questionnaire-based DUS conducted in Turkiye.

Methods: We searched online databases for the most frequently used keywords in DUS from January 1993 till May 2023 and identified 180 survey-based DUS conducted in Turkiye.

Junctional Ectopic Tachycardia After Congenital Heart Surgery: Incidence, Risk Factors, and Outcomes.

Objective: Postoperative junctional ectopic tachycardia (JET) is usually a self-limiting condition; however, when combined with atrioventricular dissociation and postoperative ventricular dysfunction, it may increase morbidity and mortality. This study aimed to determine the overall incidence of JET following congenital heart surgery, to identify patient and procedure-related risk factors, and to evaluate the clinical impact of JET on outcomes.

Methods: The records of 2,814 patients who underwent cardiac surgery over a five-year period were reviewed retrospectively to identify those with JET.

Predicting Short-Term Mortality in Patients With Acute Pulmonary Embolism With Deep Learning.

Background: Accurate prediction of short-term mortality in patients with acute pulmonary embolism (PE) is critical for optimizing treatment strategies and improving patient outcomes. The Pulmonary Embolism Severity Index (PESI) is the current reference score used for this purpose, but it has limitations regarding predictive accuracy. Our aim was to develop a new short-term mortality prediction model for PE patients based on deep learning (DL) with multimodal data, including imaging and clinical/demographic data.