Publications by authors named "K P Littmann"
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.
Background: Creatinine-based equations are the most used to estimate glomerular filtration rate (eGFR). The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), the re-expressed Lund-Malmö Revised (r-LMR) and the European Kidney Function Consortium (EKFC) equations are the most validated. The EKFC and r-LMR equations have been suggested to have better performances in young adults, but this is debated.
View Article and Find Full Text PDFAims: Hypertriglyceridaemia (hTG) is associated with atherosclerotic cardiovascular disease, pancreatitis, and non-alcoholic fatty liver disease (NAFLD) in large population-based studies. The understanding of the impact of hereditary hTG and cardiometabolic disease status on the development of hTG and its associated cardiometabolic outcomes is more limited. We aimed to establish a multigenerational cohort to enable studies of the relationship between hTG, cardiometabolic disease and hereditary factors.
View Article and Find Full Text PDFBackground: A new cystatin C based European Kidney Function Consortium (EKFC) equation was recently developed for adults, using the same mathematical form as the previously published full age spectrum creatinine based EKFC-equation (EKFC). In the present study the cystatin C based EKFC-equation is extended to children, by defining the appropriate cystatin C rescaling factor Q.
Methods: Rescaling factor Q for cystatin C was defined as: a) 0.
Background: The accuracy of estimation of kidney function with the use of routine metabolic tests, such as measurement of the serum creatinine level, has been controversial. The European Kidney Function Consortium (EKFC) developed a creatinine-based equation (EKFC eGFRcr) to estimate the glomerular filtration rate (GFR) with a rescaled serum creatinine level (i.e.
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