Changes in Proteinuria on the Risk of All-Cause Mortality in People with Diabetes or Prediabetes: A Prospective Cohort Study

Yang Sun, Anxin Wang, Xiaoxue Liu, Zhaoping Su, Junjuan Li, Yanxia Luo, Shuohua Chen, Jianli Wang, Xia Li, Zhan Zhao, Huiping Zhu, Shouling Wu, Xiuhua Guo

Research output: Contribution to journalArticlepeer-review

Abstract

Background. Proteinuria has been related to all-cause mortality, showing regression or progression. However, few studies have focused on the relationship between proteinuria changes and all-cause mortality. The main purpose of this paper is to examine the associations between proteinuria changes and all-cause mortality in people with diabetes or prediabetes. Methods. Dipstick proteinuria at baseline and a 2-year follow-up were determined in the participants attending the Kailuan prospective cohort study. Participants were then divided into three categories: elevated proteinuria, stable proteinuria, and reduced proteinuria. Four Cox proportional hazard models were built to access the relations of proteinuria changes to all-cause mortality, adjusting for other confounding covariates. Results. A total of 17,878 participants were finally included in this study. There were 1193 deaths after a median follow-up of 6.69 years. After adjusting for major covariates and proteinuria at baseline, mortality risk was significantly associated with elevated proteinuria (hazard ratio (HR): 1.54, 95% confidence interval (CI): 1.33-1.79) and reduced proteinuria (HR: 0.70, 95% CI: 0.55-0.89), compared to those with stable proteinuria. Conclusion. Proteinuria changes were independently associated with mortality risk in either diabetic or prediabetic population.

Original languageEnglish
Article number8368513
Pages (from-to)8368513
JournalJournal of Diabetes Research
Volume2017
DOIs
Publication statusPublished - 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'Changes in Proteinuria on the Risk of All-Cause Mortality in People with Diabetes or Prediabetes: A Prospective Cohort Study'. Together they form a unique fingerprint.

Cite this