The Correlation between the Severity of Obstructive Sleep Apnea and Insulin Resistance in a Japanese Population.
Yukako TomoRyo NaitoYasuhiro TomitaSatoshi KasagiTatsuya SatoTakatoshi KasaiPublished in: Journal of clinical medicine (2024)
Background: Repetitive episodes of apnea and hypopnea during sleep in patients with obstructive sleep apnea (OSA) are known to increase the risk of atherosclerosis. Underlying obesity and related disorders, such as insulin resistance, are indirectly related to the development of atherosclerosis. In addition, OSA is independently associated with insulin resistance; however, data regarding this relationship are scarce in Japanese populations. Methods: This study aimed to examine the relationship between the severity of OSA and insulin resistance in a Japanese population. We analyzed the data of consecutive patients who were referred for polysomnography under clinical suspicion of developing OSA and who did not have diabetes mellitus or any cardiovascular disease. Multiple regression analyses were performed to determine the relationship between the severity of OSA and insulin resistance. Results: The data from a total of 483 consecutive patients were analyzed. The median apnea-hypopnea index (AHI) was 40.9/h (interquartile range: 26.5, 59.1) and the median homeostasis model assessment for insulin resistance (HOMA-IR) was 2.00 (interquartile range: 1.25, 3.50). Multiple regression analyses revealed that the AHI, the lowest oxyhemoglobin saturation (SO 2 ), and the percentage of time spent on SO 2 < 90% were independently correlated with HOMA-IR (an adjusted R-squared value of 0.01278821, p = 0.014; an adjusted R-squared value of -0.01481952, p = 0.009; and an adjusted R-squared value of 0.018456581, p = 0.003, respectively). Conclusions: The severity of OSA is associated with insulin resistance assessed by HOMA-IR in a Japanese population.
Keyphrases
- obstructive sleep apnea
- insulin resistance
- positive airway pressure
- cardiovascular disease
- adipose tissue
- metabolic syndrome
- high fat diet
- high fat diet induced
- type diabetes
- skeletal muscle
- polycystic ovary syndrome
- sleep apnea
- electronic health record
- glycemic control
- big data
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- physical activity
- prognostic factors
- weight loss
- body mass index
- artificial intelligence
- cardiovascular risk factors
- weight gain
- coronary artery disease