Background: The site of death is a crucial factor associated with the tumor's progression and complications arising from it; therefore, analyzing nationwide patterns in place of death is essential. The present paper aims to evaluate the disparities in place of death for malignant neoplasm of the meninges using the CDC-WONDER (Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research) database over 22 years (1999-2020).
Methods: CDC-WONDER data from 1999 to 2020 were analyzed to investigate mortality trends related to malignant neoplasm of the meninges.
Purpose: L-Ascorbic acid (vitamin C) is an essential water-soluble vitamin that plays an important role in various physiological functions, including immune health. The stability of vitamin C in the gastrointestinal tract its bioavailability is limited. This study aimed to investigate if a liposomal form of vitamin C can increase absorption compared to standard vitamin C.
View Article and Find Full Text PDFBackground This study examines disparities in the place of death in patients in the United States with diabetes mellitus (DM) using data from the CDC WONDER (Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research) database covering a 22-year period (1999-2020). Looking at age, gender, ethnicity, and census location, among other variables, the study aims to understand trends and determinants of mortality at home or hospice care compared to mortality at a medical or nursing facilities. Materials and methods An online freely accessible mortality database, CDC WONDER database, was used to collect information regarding DM-related mortality, using the International Classification of Diseases, 11th Revision (ICD-11) code range E10-E14.
View Article and Find Full Text PDFDue to commonalities in pathophysiology, age-related macular degeneration (AMD) represents a uniquely accessible model to investigate therapies for neurodegenerative diseases, leading us to examine whether pathways of disease progression are shared across neurodegenerative conditions. Here we use single-nucleus RNA sequencing to profile lesions from 11 postmortem human retinas with age-related macular degeneration and 6 control retinas with no history of retinal disease. We create a machine-learning pipeline based on recent advances in data geometry and topology and identify activated glial populations enriched in the early phase of disease.
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