Incorporating Scoring Risk Models for Care Planning of Elderly with Chronic Kidney Disease: Brief Overview

Josefina Santos; Isabel Fonseca

Josefina Santos Department of Nephrology, Centro Hospitalar Universit�rio do Porto (CHUP), Porto, Portugal and Unit for Multidisciplinary Research in Biomedicine (UMIB), Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal.
Isabel Fonseca Department of Nephrology, Centro Hospitalar Universit�rio do Porto (CHUP), Porto, Portugal and Unit for Multidisciplinary Research in Biomedicine (UMIB), Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal and EPI Unit, ISPUP - Institute of Public Health, University of Porto, Porto, Portugal.

Keywords: Scoring risk models, chronic kidney disease, elderly, shared decision making

Abstract

Mortality in chronic kidney disease remains high, particularly among the elderly, who represent the most rapidly growing segment of the end-stage renal disease population in wealthier countries. The management of older adults with chronic kidney disease has become a clinical challenge and care for those patients expected to progress to end-stage renal disease should focus on evaluating the overall benefit of offering renal replacement therapy to them. Predictive mortality models may help to inform shared decision-making in the trajectory of the elderly with chronic kidney disease. This review discusses current literature on the available predictive models for predicting survival in elderly chronic kidney disease patients and reflects the authors own interpretation and experience.