ObjectiveTo investigate the association between metabolic syndrome and arterial stiffness in elderly people. Methods1 599 participants aged over 65 years old were recruited from 10 communities located in the northern Shanghai. Carotid-femoral pulse wave velocity (cf-PWV) of each participant was measured by SphygmoCor device. Measurements for the diagnosis of metabolic syndrome were all investigated for each participant. SPSS 20.0 was used for data management and statistical analysis. ResultsCf-PWV was significantly associated with metabolic syndrome and its diagnostic measurements (P<0.001). Moreover, with the accumulating diagnostic measurements, cf-PWV increased gradually and significantly. The increasing trend remained significant in all participants, in men and in women (P<0.001). ConclusionArterial stiffness is significantly associated with metabolic syndrome and the accumulation of its diagnostic measurements.
ObjectiveTo investigate the association of arterial stiffness with cardiovascular risk factors. MethodsFrom July 2014 to August 2015, 1 599 participants aged over 65 years old were recruited from 10 communities located in the northern Shanghai. Carotid-femoral pulse wave velocity (cf-PWV) was measured by SphygmoCor device. Cardiovascular risk factors were assessed by questionnaire, anthropometry or conventional biochemical measurements. SPSS 20.0 was applied for data management and statistical analysis. ResultsCf-PWV was significantly associated with cardiovascular risk factors (P<0.001). Moreover, with the accumulating cardiovascular risk factors, cf-PWV increased gradually and significantly (P<0.001). The increasing trend remained significant in all participants, in men and in women, respectively. ConclusionArterial stiffness is significantly associated with cardiovascular risk factors and their accumulation.
Objective To explore the best mode of blood pressure monitoring by comparing the correlation of deferent kinds of blood pressure variability with arterial stiffness. Methods This study was conducted among 140 hypertensive patients in Wuhou Strict, Chengdu. Baseline data was collected including demographic data, biochemical examination and brachial-ankle pulse wave velocity (baPWV) measurement and so on. A consecutive home blood pressure was also gained by the individuals themselves and the clinical blood pressure was also recorded during the visit. The correlation between baPWV and the blood pressure variability were tested. Results The blood pressure variability measured at home in the morning was independently correlated with baPWV (r=0.313, P=0.011), the blood pressure variability measured at home in the evening was also independently correlated with baPWV (r=0.241, P=0.042), and day-to-day morning blood pressure variability measured at home was correlated with baPWV (r= 0.269, P=0.030). The correlation of month-to-month blood pressure variability and blood pressure variability gained at clinic room with baPWV was not significant (P>0.05). Conclusion In the monitoring of blood pressure variability in hypertensive patients, the blood pressure variability monitoring at home is better than that at the clinic room; and monitoring in the morning is better than that in the evening.
As one of the standard electrophysiological signals in the human body, the photoplethysmography contains detailed information about the blood microcirculation and has been commonly used in various medical scenarios, where the accurate detection of the pulse waveform and quantification of its morphological characteristics are essential steps. In this paper, a modular pulse wave preprocessing and analysis system is developed based on the principles of design patterns. The system designs each part of the preprocessing and analysis process as independent functional modules to be compatible and reusable. In addition, the detection process of the pulse waveform is improved, and a new waveform detection algorithm composed of screening-checking-deciding is proposed. It is verified that the algorithm has a practical design for each module, high accuracy of waveform recognition and high anti-interference capability. The modular pulse wave preprocessing and analysis software system developed in this paper can meet the individual preprocessing requirements for various pulse wave application studies under different platforms. The proposed novel algorithm with high accuracy also provides a new idea for the pulse wave analysis process.