Obstructive sleep apnea rather than diabetes or obesity associated with proteinuria in late mid-aged male workers: a decision tree analysis

Background Both proteinuria and obstructive sleep apnea (OSA) are associated with cardiovascular events and consequent mortality. To examine whether age, OSA, diabetes, and obesity are potential predictors of proteinuria, a data-driven analysis was performed to delineate a potential categorical clas...

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Bibliographic Details
Published in:Sleep & breathing 2015-12, Vol.19 (4), p.1167-1174
Main Authors: Ting, Hua, Liou, Cher-Ming, Shih, Tung-Sheng, Wang, Chih-Huan, Chang, Shu-Yun, Chung, Ai-Hui, Lee, Jia-Fei, Wang, Lee, Huang, Ren-Jing, Lee, Shin-Da
Format: Article
Language:English
Subjects:
Age Factors
Algorithms
Cohort Studies
Cross-Sectional Studies
Decision Trees
Dentistry
Diabetes
Diabetes Mellitus, Type 2 - diagnosis
Diabetes Mellitus, Type 2 - epidemiology
Diabetes Mellitus, Type 2 - physiopathology
Humans
Internal Medicine
Male
Medicine
Medicine & Public Health
Mens health
Metabolic syndrome
Middle Aged
Neurology
Obesity
Obesity - diagnosis
Obesity - epidemiology
Obesity - physiopathology
Original Article
Otorhinolaryngology
Pediatrics
Pneumology/Respiratory System
Polysomnography
Proteinuria - diagnosis
Proteinuria - epidemiology
Proteinuria - physiopathology
Risk Factors
Sedentary Lifestyle
Sleep apnea
Sleep Apnea, Obstructive - diagnosis
Sleep Apnea, Obstructive - epidemiology
Sleep Apnea, Obstructive - physiopathology
Statistics as Topic
Taiwan
Urinalysis
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Summary:Background Both proteinuria and obstructive sleep apnea (OSA) are associated with cardiovascular events and consequent mortality. To examine whether age, OSA, diabetes, and obesity are potential predictors of proteinuria, a data-driven analysis was performed to delineate a potential categorical classification algorithm. Methods In this cross-sectional community-based cohort study, demographic data, blood pressure, serum biochemical analyses, proteinuria via single dipstick urinalysis, and overnight polysomnographies were measured in 300 males with sedentary work styles. Results Sixty-one (20.3 %) of all these participants had proteinuria. Logistic regression analysis showed that glycated hemoglobin (HbA1c), duration of arterial oxygen saturation 21 events/h had a higher risk for proteinuria; whereas in the 49-year-old and less group, subjects with HbA1c >7 %, or with HbA1c ≤7, and body mass index (BMI) >27.4 kg/m 2 had a higher risk for proteinuria than their counterparts. Conclusions AHI was the major determinant responsible for the presence of proteinuria in late mid-aged male workers, while HbA1c and BMI were found in the junior subgroup. By algorithmic analysis, this study provides a comprehensive hierarchical model for better understanding of the correlates of proteinuria and sleep apnea.
ISSN:1520-9512
1522-1709
DOI:10.1007/s11325-015-1132-z