Cardiopulmonary coupling analysis in Parkinson's disease
10.3760/cma.j.issn.1671-8925.2019.01.005
- VernacularTitle:心肺耦合分析用于帕金森病的临床研究
- Author:
Zhinan YE
1
;
Ying CHEN
;
Hao XU
;
Hangyu XU
;
Yingye HE
;
Haijun LI
Author Information
1. 台州市立医院神经内一科 318000
- Keywords:
Cardiopulmonary coupling analysis,Parkinson's disease;
Sleep monitoring
- From:
Chinese Journal of Neuromedicine
2019;18(1):28-32
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the role of cardiopulmonary coupling (CPC) analysis in evaluating the sleep quality of patients with Parkinson's disease (PD),and explore its correlation with subjective complaints in patients with PD.Methods Sixty patients with PD,admitted to our hospital from October 2015 to December 2017,and 45 healthy controls accepted physical examinations were enrolled.The sleep qualities of all subjects were assessed using CPC and Pittsburgh sleep quality index (PSQI).Independent-sample t test was used to compare the CPC variables and PSQI results,and the correlations between CPC variables and PSQI results were analyzed.Results (1) High-frequency coupling (HFC) and sleep efficiency of PD patients were significantly lower than those of healthy controls (P＜0.05);very low-frequency coupling and sleep latency of PD patients were significantly higher than those of healthy controls (P＜0.05).(2) Results of PSQI in the PD patients were significantly increased as compared with those in the control group (P＜0.05);there was a negative correlation between PSQI results and HFC ratio in the PD group (r=-0.391,P=0.002).Conclusion CPC analysis is effective in reflecting the subjective sleep quality of PD patients and can be used as a new technology in sleep monitoring.
