Can serum orexin levels be used as a marker in childhood epilepsy?

Objective: Epilepsy is one of the most common neurological diseases in the pediatric population. Orexins are excitatory peptides and associated with energy homeostasis, eating and drinking behaviors, sleep regulation, sleep-wake periods, analgesia, and cognitive activities such as attention, learning, and memory. The aim of this study was to reveal the relationship between plasma orexin levels and seizures in pediatric epilepsy patients with seizures, epilepsy patients in remission, and healthy control group with similar demographic characteristics.

Assessment of Micronutrient Levels in Pediatric Migraine Patients.

Objective: We aimed to evaluate the relationship between attack frequency and severity and serum levels of micronutrient in pediatric migraine patients.

Methods: Children at 2 hospitals from February to December 2022 diagnosed with migraine were reviewed.

Results: A total of 171 patients with a mean age of 14.

HALP Score in Predicting Response to Treatment in Patients with Early-Stage Gastric Cancer: A Multi-Centred Retrospective Cohort Study.

: The HALP (Haemoglobin, Albumin, Lymphocyte and Platelet) score is used to predict the prognosis of different types of cancer. This study aimed to investigate the role of the HALP score in predicting pathological response in early-stage gastric cancer patients. : This retrospective cohort study was conducted on 118 patients diagnosed with early-stage gastric cancer and subjected to perioperative (FLOT) treatment between 2018 and 2023.

Evaluation of allergic diseases in children diagnosed with cutaneous mastocytosis.

Cutaneous mastocytosis (CM) is the most common type of mastocytosis in children. The atopy frequency in these patients is typically similar to that in the general population, but a higher incidence of anaphylaxis is reported. This study aimed to evaluate the presence of allergic diseases in children diagnosed with CM and its impact on clinical manifestations.

Early detection of high blood pressure from natural speech sounds with graph diffusion network.

This study presents an innovative approach to cuffless blood pressure prediction by integrating speech and demographic features. With a focus on non-invasive monitoring, especially in remote regions, our model harnesses speech signals and demographic data to accurately estimate blood pressure. We found a strong correlation between our predictive model and early-stage high blood pressure, highlighting its potential for early detection.