Publications by authors named "R D Dalton"
Health disparities in patients with pulmonary arterial hypertension (PAH) have not been extensively reported in the United States. The aim of this project was to characterize the extent of demographic and socioeconomic disparities in clinical outcomes within a large, diverse PAH patient population. A retrospective, population-based study of electronic health record data from the OneFlorida Data Trust was completed.
View Article and Find Full Text PDFChanges in temperature and precipitation are already influencing US forests and that will continue in the future even as we mitigate climate change. Using spatiotemporally matched data for mean annual temperature (MAT) and mean annual precipitation (MAP), we used simulated annealing to estimate critical thresholds for changes in the growth and survival of roughly 150 tree species (153 spp. for growth, 159 spp.
View Article and Find Full Text PDFObjectives: To examine the relationship between kidney hyperfiltration during adolescence and subsequent changes in estimated glomerular filtration rate (eGFR) and urinary albumin creatinine ratio (UACR) in a young cohort of participants with type 1 diabetes. Additionally, to explore urinary mitochondrial DNA:nuclear DNA ratio (mtDNA:nDNA) as a marker of metabolic stress and its association with early changes in kidney function.
Methods: Eighty adolescents were studied at baseline [mean (SD) age 14.
Article Synopsis
- The study evaluates the effectiveness of machine learning (ML) techniques in predicting glomerular filtration rate (GFR) compared to the traditional EKFC equation, which measures kidney function.
- Using data from 19,629 patients across 13 cohorts, the researchers tested various ML methods, particularly focusing on factors like age, sex, and serum creatinine levels.
- Results indicated that the random forest (RF) method performed similarly to EKFC, with slight advantages for RF in younger patients, suggesting ML could enhance future GFR prediction methods.