The Analysis Of Blood Pressure Variability In Patients With Sleep Apnea Syndrome And Metabolic Syndrome

[Objectives]1. To study the role of metabolic syndrome in blood pressure variability in patients with obstructive sleep apnea syndrome2. To explore the existence of an independent correlation among blood pressure variability, obstructive sleep apnea syndrome, metabolic syndrome, insulin resistance, with obesity.[Methods]166study subjects were enrolled in this study. According to the diagnostic criteria of metabolic syndrome (Metabolic Syndrome., MS), subjects were divided into the metabolic syndrome group (MS+) and non-metabolic syndrome group (MS-). The study included112men and54women, the mean age was56.06±12.78years old. Clinical histories were collected, physical and biochemical data were obtained.24h ambulatory blood pressure monitoring and cardiac color doppler examination were done. The SPSS15.0software was used to do related statistical analysis.[Results]1. In24h systolic blood pressure variable coefficient,24h diastolic blood pressure variable coefficient,24h mean arterial pressure variable coefficient,24h systolic blood pressure standard deviation,24h diastolic blood pressure standard deviation,24h mean arterial blood pressure standard deviation, daytime systolic blood pressure variable coefficient, daytime diastolic blood pressure variable coefficient,, daytime mean arterial pressure variable coefficient, daytime systolic blood pressure standard deviation, daytime diastolic blood pressure standard deviation, daytime mean arterial blood pressure standard deviation, and nighttime systolic blood pressure variable coefficient, and nighttime diastolic blood pressure variable coefficient, nighttime mean arterial blood pressure variable coefficient, night systolic blood pressure standard deviation and nighttime diastolic blood pressure standard deviation, nighttime mean arterial blood pressure standard deviation, MS+group were significantly higher than the MS-group,the difference was statistically significant (P<0.05); The proportion of systolic blood pressure morning peak phenomenon and systolic blood pressure non-dipper in MS+group was significantly higher than that of the MS-group(P<0.05). The proportion of insulin resistance in MS+group was significantly higher than that of MS-group, and the difference was statistically significant (P=0.002).2. Spearman correlation analysis was applied, there was a positive correlation between the nighttime systolic blood pressure variable coefficient and MS (rs=.328, P0.001); The nighttime systolic blood pressure variable coefficient was positively correlated with the severity of the OSAS.(rs=0.251, P＜0.001.)3. Multi-factor two-dimensional Logistic regression analysis were used, obesity, hypertension, type2diabetes, the severity of obstructive sleep apnea were independently associated with blood pressure variability. Obesity, hypertension, metabolic syndrome, age were independently associated with insulin resistance. Metabolic syndrome, insulin resistance, dyslipidemia, obesity, gender and smoking consumption were independently associated with obstructive sleep apnea.[Conclusions]1. Metabolic syndrome is likely to be involved in blood pressure variability in patients with obstructive sleep apnea. In obstructive sleep apnea patients with metabolic syndrome,the risks of non-dipper rhythms and blood pressure morning peak were significantly increased.2. Obstructive sleep apnea was independent correlated with obesity, insulin resistance, dyslipidemia, gender, high blood pressure, metabolic syndrome and high blood pressure and smoking.3. There was independent correlation between insulin resistance and age, obesity, high blood pressure, metabolic syndrome, and sleep apnea.4. There existed independent correlation between blood pressure variation and metabolic syndrome, body mass index, high blood pressure, age, diabetes and the severity of obstructive sleep apnea.5. Obesity played an important role in obstructive sleep apnea, metabolic syndrome, insulin resistance and multiple cardiovascular risk factors.