Oncotarget

Research Papers:

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

Wen-Chih Wu, Po-Chien Hsieh, Fu-Kang Hu, Jen-Chun Kuan, Chi-Ming Chu, Chien-An Sun, Tsan Yang, Sui-Lung Su and Yu-Ching Chou _

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Oncotarget. 2018; 9:19745-19752. https://doi.org/10.18632/oncotarget.24820

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Abstract

Wen-Chih Wu1,2, Po-Chien Hsieh1, Fu-Kang Hu3, Jen-Chun Kuan4,5, Chi-Ming Chu1, Chien-An Sun6,7, Tsan Yang8, Sui-Lung Su1 and Yu-Ching Chou1

1School of Public Health, National Defense Medical Center, Taipei, Taiwan

2Department of Surgery, Suao and Yuanshan branches of Taipei Veterans General Hospital, Yilan, Taiwan

3Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan

4Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan

5Department of Biostatistics, Firma Clinical Research, Hunt Valley, MD, USA

6Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei, Taiwan

7Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei, Taiwan

8Department of Health Business Administration, Meiho University, Pingtung, Taiwan

Correspondence to:

Yu-Ching Chou, email: [email protected]

Keywords: predictor; chronic kidney disease (CKD); aircrew; early detection; longitudinal study

Received: August 02, 2017     Accepted: February 27, 2018     Published: April 13, 2018

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 age-adjusted 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.


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