Tianjin Medical Journal ›› 2023, Vol. 51 ›› Issue (12): 1369-1373.doi: 10.11958/20230247

• Clinical Research • Previous Articles     Next Articles

The correlation between excessive daytime sleepiness and sleep disordered breathing in patients after stroke

WANG Wenyi(), CHEN Guang   

  1. First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibusion, Tianjin 300381, China
  • Received:2023-02-27 Revised:2023-04-27 Published:2023-12-15 Online:2023-12-22

Abstract:

Objective To explore the correlation between excessive daytime sleepiness (EDS) and sleep disordered breathing after stroke. Methods A total of 148 patients with stroke were divided into the EDS group (ESS>7, n=69) and the non-EDS group (ESS≤7, n=79) according to Epworth Sleepiness Scale (ESS). The general data, blood biochemistry and polysomnography (PSG) parameters were compared between the two groups of patients. The correlation between EDS and SDB incidence rate after stroke was analyzed by spearman test. Multivariate Logistic regression analysis was applied for influencing factors of EDS after stroke. Results There were higher proportion of males, hypoventilation index (AHI), oxygen reduction index (ODI), proportion of N1 sleep period and average nighttime diastolic blood pressure in the EDS group than those of the non-EDS group (P<0.05). There was a positive correlation between the incidence rate of EDS and SDB in stroke patients (rs=0.225, P<0.05). Multivariate Logistic regression analysis revealed that gender (OR=2.768, 95%CI: 1.133-6.765), high AHI (OR=1.048, 95%CI: 1.023-1.074) and high average nighttime diastolic blood pressure (OR=1.035, 95%CI: 1.001-1.071) were the independent risk factors for EDS after stroke. Conclusion Male, higher AHI and high average nighttime diastolic blood pressure are independent risk factors for EDS after stroke.

Key words: stroke, sleep apnea syndromes, root cause, sleepiness during the day, multichannel sleep breathing monitoring

CLC Number: