Long-term predictive models of risk factors for early chronic kidney disease: A longitudinal study

Loading...
Thumbnail Image
File version

Version of Record (VoR)

Author(s)
Wu, WC
Hsieh, PC
Hu, FK
Kuan, JC
Chu, CM
Sun, CA
Yang, T
Su, SL
Chou, YC
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2018
Size
File type(s)
Location
Abstract

Background: The high incidence and prevalence of chronic kidney disease (CKD) in Taiwan have produced tremendous burdens on health care resources. The work environment of air force special operations personnel engenders high psychological stress, and the resulting increased blood pressure can lead to glomerular hypertension and accelerated glomerular injury in the long term. The aim of the study was to establish the predictive models to define the predictors of CKD. Results: The results indicated that the prevalence of CKD over 4 consecutive years was 3.8%, 9.4%, 9.0%, and 9.4%. The capability of using occult blood in urine to predict the risk of CKD after 1, 2, and 3 years was statistically significant. The ageadjusted odds ratio (OR) and 95% confidence interval (CI) were 7.94 (95% CI: 2.61- 24.14), 12.35 (95% CI: 4.02-37.94) and 4.25 (95% CI: 1.32-13.70), respectively. Discussion: The predictive power of occult blood in urine for the risk of CKD in each model was statistically significant. Future investigations can explore the feasibility of implementing simple and accurate urine dipsticks for preliminary testing besides annual aircrew physical examinations to facilitate early detection and treatment. Methods: This study was a longitudinal study, in which air force special operations personnel who received physical examinations at military hospitals between 2004 and 2010 were selected. CKD was determined based on the definition provided by the US National Kidney Foundation. Overall, 212 participants that could be followed continuously for 4 years were analyzed.

Journal Title

Oncotarget

Conference Title
Book Title
Edition
Volume

9

Issue

28

Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© The Author(s) 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Item Access Status
Note
Access the data
Related item(s)
Subject

Oncology and carcinogenesis

Persistent link to this record
Citation

Wu, WC; Hsieh, PC; Hu, FK; Kuan, JC; Chu, CM; Sun, CA; Yang, T; Su, SL; Chou, YC, Long-term predictive models of risk factors for early chronic kidney disease: A longitudinal study, Oncotarget, 2018, 9 (28), pp. 19745-19752

Collections