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A machine learning model accurately identifies glycogen storage disease Ia patients based on plasma acylcarnitine profiles.
Orphanet J Rare Dis
January 2025
Laboratory of Metabolic Diseases, Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Postbus, Groningen, 30001 - 9700 RB, the Netherlands.
Background: Glycogen storage disease (GSD) Ia is an ultra-rare inherited disorder of carbohydrate metabolism. Patients often present in the first months of life with fasting hypoketotic hypoglycemia and hepatomegaly. The diagnosis of GSD Ia relies on a combination of different biomarkers, mostly routine clinical chemical markers and subsequent genetic confirmation.
View Article and Find Full Text PDFA robust multimodal brain MRI-based diagnostic model for migraine: validation across different migraine phases and longitudinal follow-up data.
J Headache Pain
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.
View Article and Find Full Text PDFFeasibility of the International Caries Classification and Management System (ICCMS) Protocol in a Hospital-Based Setting in India.
Indian J Dent Res
October 2024
Department of Pediatric and Preventive Dentistry, Centre for Dental Education and Research, All Indian Institute of Medical Sciences, New Delhi, Delhi, India.
Objective: To evaluate the feasibility of the International Caries Classification and Management System (ICCMS) protocol in a hospital-based setting in India.
Methods: A total of 160 children, 3-6 years old children reporting with dental caries to a hospital-based setting were recruited. Risk-based management of dental caries was conducted and followed for one year as per the modified ICCMS protocol.
Increased consumption of ultra-processed foods and worse diet quality in colorectal cancer patients after colostomy: A prospective study.
PLoS One
January 2025
Graduate Program in Health Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil.
Colorectal cancer (CRC) is commonly treated with intestinal resections that lead to colostomy, which can influence changes in eating habits. This study aimed to analyze energy and nutrient intake, diet quality, and food consumption based on the processing level in CRC patients after colostomy. A prospective study was carried out at three time points (T0-recent colostomy, T1-3 months after colostomy, and T2-6 months after colostomy).
View Article and Find Full Text PDFDeep learning model for identifying acute heart failure patients using electrocardiography in the emergency room.
Eur Heart J Acute Cardiovasc Care
January 2025
Department of Medical Informatics, Korea University College of Medicine, Seoul, Republic of Korea.
Background: Acute heart failure (AHF) poses significant diagnostic challenges in the emergency room (ER) because of its varied clinical presentation and limitations of traditional diagnostic methods. This study aimed to develop and evaluate a deep-learning model using electrocardiogram (ECG) data to enhance AHF identification in the ER.
Methods: In this retrospective cohort study, we analyzed the ECG data of 19,285 patients who visited ERs of three hospitals between 2016 and 2020; 9,119 with available left ventricular ejection fraction and N-terminal prohormone of brain natriuretic peptide level data and who were diagnosed with AHF were included in the study.
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