Open AccessA Nomogram for Identifying Subclinical Atherosclerosis in Chronic Kidney Disease
Author(s) -
Jiachuan Xiong,
Zhikai Yu,
Daohai Zhang,
Yinghui Huang,
Kang Yang,
Jinghong Zhao
Publication year - 2021
Publication title -
clinical interventions in aging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.184
H-Index - 76
eISSN - 1178-1998
pISSN - 1176-9092
DOI - 10.2147/cia.s312129
Subject(s) - medicine , nomogram , subclinical infection , logistic regression , receiver operating characteristic , kidney disease , confidence interval , area under the curve , population , odds ratio , environmental health
Atherosclerosis contributes substantially to cardiovascular mortality in patients with chronic kidney disease (CKD). But precise risk model for subclinical atherosclerosis in the CKD population is still lacking. The study aimed to develop and validate a nomogram for screening subclinical atherosclerosis among CKD patients without dialysis.