Abstract
AbstractKidney failure is a critical health condition with significant impact on patient well-being and healthcare systems worldwide. Analyzing the longitudinal trajectory of kidney function is crucial for understanding disease progression, predicting outcomes, and personalizing treatment strategies. This paper proposes a novel approach utilizing latent longitudinal trajectory clustering techniques by incorporating survival information to analyze kidney failure and explore patterns within patient populations. Besides, we also developed a web application to provide visualize and intuitive way to explore the relationship between estimated glomerular filtration rate (EGFR) progression and survival outcomes, helping researchers and clinicians gain valuable insights. By identifying distinct subgroups, this analysis can aid in early detection, risk stratification, and treatment optimization. The proposed methodology holds promise for improving patient care and outcomes in the field of nephrology.
Publisher
Cold Spring Harbor Laboratory
Reference13 articles.
1. Abbasi MA , Chertow GM , Hall YN . End-stage renal disease. BMJ clinical evidence. 2010;2010.
2. Epidemiology of chronic kidney disease: an update 2022;Kidney International Supplements,2022
3. Chronic kidney disease and end-stage renal disease--a review produced to contribute to the report 'the status of health in the European union: towards a healthier Europe'
4. Chronic Kidney Disease Diagnosis and Management
5. Carrero JJ , Fu EL , Vestergaard SV , Jensen SK , Gasparini A , Mahalingasivam V , Bell S , Birn H , Heide-Jørgensen U , Clase CM , Cleary F. Defining measures of kidney function in observational studies using routine healthcare data: methodological and reporting considerations. Kidney international. 2022 Oct 22.