Association between alanine aminotransferase-to-aspartate aminotransferase ratio and obstructive sleep apnea: A cross-sectional study of NHANES

丙氨酸氨基转移酶与天冬氨酸氨基转移酶比值与阻塞性睡眠呼吸暂停的关联:一项基于NHANES的横断面研究

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Abstract

Obstructive sleep apnea (OSA) has been associated with abnormal liver enzyme levels. However, the association between the alanine aminotransferase-to-aspartate aminotransferase (ALT/AST) ratio and OSA remains understudied in large, nationally representative samples. This study examined the relationship between ALT/AST ratio and OSA among adults in the United States. We conducted a cross-sectional analysis of 7371 participants aged ≥20 years, pooling data from 4 National Health and Nutrition Examination Survey cycles (2005-2006, 2007-2008, 2015-2016, and 2017-2018). Weighted multivariate logistic regression was used to assess the relationship between the ALT/AST ratio and OSA, complemented by dose-response curve fitting, stratified subgroup analyses, and sensitivity analyses. Among 7371 participants (mean age 47.07 years; 48.50% male), 3672 reported OSA symptoms. A key finding was a significant inverted L-shaped nonlinear relationship between the ALT/AST ratio and OSA risk (P for nonlinearity = 0.021), with a threshold identified at a ratio of 1.08. Below this threshold, each unit increase in the ALT/AST ratio was associated with an 84% increase in the odds of OSA (odds ratio = 1.84, 95% confidence interval: 1.03-3.32, P = .041). Above 1.08, no significant association was observed. In a traditional quartile analysis, participants in the highest quartile of the ALT/AST ratio had 55% higher odds of OSA compared to those in the lowest quartile (odds ratio = 1.55, 95% confidence interval: 1.26-1.89, P < .001). The findings were robust across subgroup and sensitivity analyses. The ALT/AST ratio shows an association with self-reported OSA in cross-sectional data. These findings should be confirmed in longitudinal studies before considering clinical application. Additionally, prospective cohort or interventional studies are required to validate the observed threshold effect.

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