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Machine learning-assisted cancer diagnosis in patients with paraneoplastic autoantibodies.
Discov Oncol
January 2025
School of Medicine, Hamadan University of Medical Sciences, Pajoohesh Blvd, Hamadan, Iran.
Purpose: Paraneoplastic syndromes (PNS) are a group of rare disorders triggered by an immune response to malignancy, characterized by diverse neurological, muscular, and systemic symptoms. This study aims to leverage machine learning to develop a predictive model for cancer diagnosis in patients with paraneoplastic autoantibodies.
Methods: Demographic data included age and sex, and presenting symptoms were recorded.
Diagnostic Value of Neutrophil-to-Lymphocyte Ratio (NLR) in Intrahepatic Cholestasis of Pregnancy.
Br J Hosp Med (Lond)
January 2025
Department of Obstetrics, Beilun District People's Hospital, Ningbo, Zhejiang, China.
Intrahepatic cholestasis of pregnancy (ICP) is associated with adverse perinatal outcomes, yet the correlation between ICP and the neutrophil-to-lymphocyte ratio (NLR) remains unclear. This study aims to investigate the diagnostic value of NLR in ICP. In this retrospective case-control study, 113 patients with ICP treated in Beilun District People's Hospital from January 2020 to December 2022 were recruited and categorized as the ICP group, and 209 healthy pregnant women treated during the same period were selected as the control group.
View Article and Find Full Text PDFAssociation of Geriatric Nutritional Risk Index Scores with Outcomes in Patients Undergoing Maintenance Hemodialysis.
Br J Hosp Med (Lond)
January 2025
Department of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
The Geriatric Nutritional Risk Index (GNRI) is an effective tool for identifying malnutrition, and helps monitor the prognosis of patients undergoing maintenance hemodialysis. However, the association between the GNRI and cardiovascular or all-cause mortality in hemodialysis patients remains unclear. Therefore, this study investigated the correlation of the GNRI with all-cause and cardiovascular mortality in patients undergoing maintenance hemodialysis.
View Article and Find Full Text PDFInterpretation of COVID-19 Epidemiological Trends in Mexico Through Wastewater Surveillance Using Simple Machine Learning Algorithms for Rapid Decision-Making.
Viruses
January 2025
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico.
Detection and quantification of disease-related biomarkers in wastewater samples, denominated Wastewater-based Surveillance (WBS), has proven a valuable strategy for studying the prevalence of infectious diseases within populations in a time- and resource-efficient manner, as wastewater samples are representative of all cases within the catchment area, whether they are clinically reported or not. However, analysis and interpretation of WBS datasets for decision-making during public health emergencies, such as the COVID-19 pandemic, remains an area of opportunity. In this article, a database obtained from wastewater sampling at wastewater treatment plants (WWTPs) and university campuses in Monterrey and Mexico City between 2021 and 2022 was used to train simple clustering- and regression-based risk assessment models to allow for informed prevention and control measures in high-affluence facilities, even if working with low-dimensionality datasets and a limited number of observations.
View Article and Find Full Text PDFSpecific Nutrients Mediate the Association of Food Insecurity and Sleep Regularity Index (SRI) in U.S. Adults: NHANES 2011-2014.
Nutrients
January 2025
Translational Biobehavioral and Health Disparities Branch, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
Background/objectives: Food-insecure individuals are at risk for poor health outcomes, including substandard sleep health. A possible association of food insecurity with sleep regularity has not been explored, and factors contributing to the relationship between food insecurity and sleep are not well understood. This cross-sectional study explored the relationship between food insecurity and sleep regularity and identified specific nutrients that mediated the association.
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