The Serum Biomarkers in Ulcerative Colitis.

Objective: In this study, the aim was to evaluate the diagnostic effectiveness of more easily applicable and cost-effective serum biomarkers, such as neutrophil-to-lymphocyte ratio (NLR), platelet-tolymphocyte ratio (PLR), C-reactive protein (CRP) to albumin ratio (CAR), and CRP-to-lymphocyte ratio (CLR), instead of the endoscopic activity index (EAI) used to determine disease activation in ulcerative colitis (UC) patients.

Methods: Blood tests performed during the same period as colonoscopy were reviewed, and NLR, PLR, CAR, and CLR values were calculated. Based on the EAI score, patients with a score <4 were classified as having UC in remission, those with a score ≥4 as having active UC, and those with normal colonoscopy results as the control group.

Brain malformation, neurodevelopmental disorder and epilepsy in a case of two rare genetic diseases: overlapping phenotype.

In most cases there is a single etiological factor causing neuromotor developmental delay and epilepsy while sometimes more than one gene may be involved. These include the autosomal recessive inherited CAMSAP1 gene, which is associated with cortical developmental malformations such as pachygyria and lissencephaly and the autosomal dominant inherited NBEA gene, which plays crucial roles in vesicle trafficking as well as synapse structure and function. Loss of function of both genes together is a well-known disease mechanism.

Immature granulocytes as an early clinical predictor in children with respiratory syncytial virus bronchiolitis.

Background: Immature granulocytes can be measured easily in a complete blood count by new automated hemolytic analyzers and have recently been studied as bio-markers in many infectious/inflammatory diseases. This study aims to investigate whether immature granulocyte percentage (IG%) would enable greater discrimination than conventionally utilized laboratory values in terms of early clinical prediction in instances with respiratory syncytial virus (RSV) bronchiolitis.

Methods: A prospective observational cohort study involved 149 individuals with RSV bronchiolitis.

Convolutional Neural Networks in the Diagnosis of Cervical Myelopathy.

 Artificial intelligence technologies have been used increasingly in spine surgery as a diagnostic tool. The aim of the present study was to evaluate the effectiveness of the convolutional neural networks in the diagnosis of cervical myelopathy (CM) compared with conventional cervical magnetic resonance imaging (MRI).  This was a cross-sectional descriptive analytical study.

Endothelial dysfunction in prediabetes and diabetes mellitus in patients with normal coronary arteries.

Background: Diabetes mellitus (DM) is a global health issue associated with increased cardiovascular disease risk. Endothelial dysfunction is a known precursor to atherosclerosis and cardiovascular disease, and its role in the pathogenesis of DM complications is well-documented. There is limited information in the evaluation of endothelial function in prediabetic patients using flow-mediated dilation (FMD), and studies have not excluded patients with known atherosclerosis or coronary artery disease.