Santos Josefina, Fonseca Isabel
Nephrology Department, Hospital de Santo António, Centro Hospitalar do Porto (CHP), Porto, Portugal.
Unit for Multidisciplinary Research in Biomedicine (UMIB), Abel Salazar Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal.
Curr Gerontol Geriatr Res. 2017;2017:8067094. doi: 10.1155/2017/8067094. Epub 2017 Nov 28.
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 author's own interpretation and experience.
慢性肾脏病的死亡率仍然很高,在老年人中尤为如此,他们是较富裕国家终末期肾病患者中增长最快的群体。老年慢性肾脏病患者的管理已成为一项临床挑战,对于那些预计会进展至终末期肾病的患者,护理应侧重于评估为他们提供肾脏替代治疗的总体益处。预测死亡率模型可能有助于为老年慢性肾脏病患者病程中的共同决策提供依据。本综述讨论了有关预测老年慢性肾脏病患者生存情况的现有预测模型的当前文献,并反映了作者自己的解读和经验。