[Relationship between waist-hip ratio and sleep-disordered breathing in patients with acute coronary syndrome and its effect on long-term prognosis].

Zhonghua Yi Xue Za Zhi

Department of Otolaryngology-Head and Neck Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.

Published: July 2020

To investigate the relationship between different waist-hip ratios and sleep-disordered breathing (SDB) in patients with acute coronary syndrome (ACS) and its effect on patients' long-term prognosis. A total of 725 patients who were diagnosed with ACS in the emergency ward of Beijing An Zhen Hospital from June 2015 to May 2017 were included, and all the patients were monitored for sleep and breathing. Patients were divided into four groups according to their waist-hip ratios. The differences of SDB-related indicators among the four groups were compared, and the correlation between different waist-hip ratios and SDB was analyzed using multiple logistic regression. COX regression analysis and Kaplan-Meier curve were used to compare the prognostic differences among the four groups. As the waist-hip ratio increased, the apnea hypopnea index (AHI) (=0.004) and the proportion of sleep apnea hypopnea syndrome (OSAHS) increased (39.3% vs 46.0% vs 53.2% vs 60.0%, =0.004). Meanwhile, the number of hypoventilation increased, and the mean and minimum arterial oxygen saturation (SaO(2)) decreased (all <0.001). Logistic regression analysis showed that high waist-hip ratio was significantly related with OSAHS (=2.579, 95% 1.521-4.373, <0.001). The survival curves showed the highest incidence of major cardio-cerebral vascular events (MACCE) occurred in the high waist-hip ratio group (Log Rank =0.036). COX regression analysis showed that high waist-hip ratio was an independent risk factor for MACCE in ACS patients (=2.855, 95% 1.375-5.929, =0.005). In ACS patients, central obesity is related with SDB. Patients with high waist-hip ratio have a poor prognosis. Elevated waist-hip ratio and SDB jointly impact the prognosis of ACS patients.

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http://dx.doi.org/10.3760/cma.j.cn112137-20200308-00641DOI Listing

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