Correlation analysis between pulse pressure index, body mass index, and cerebral hemodynamics in 12 375 individuals undergoing physical examination in Urumqi / 中华健康管理学杂志

ABSTRACT

Objective:This study aimed to explore and analyze the correlation between pulse pressure index (PPI), body mass index (BMI), and cerebral hemodynamics and evaluate their significance in early screening for stroke.Methods:The subjects were selected from those who had completed the cerebral blood flow function test in the First Affiliated Hospital of Xinjiang Medical University from January to December 2018. First, basic information and disease history of the respondents were obtained through on-site questionnaire survey. Height, weight, and blood pressure were measured, and BMI, pulse pressure, PPI, and mean arterial pressure were calculated. Meanwhile, cerebral hemodynamic monitoring was completed. Individuals with cerebral hemodynamic indexes ≥75 were classified as normal cerebrovascular function group and those with cerebral hemodynamic indexes <75 as abnormal group. This study divided the PPI into three subgroups high, medium, and low. According to the Chinese Adult Overweight and Obesity Prevention and Control Guidelines, the BMI was divided into too low, normal, overweight, and obese. The correlations of PPI and BMI with cerebral hemodynamics in different groups were calculated and compared.Results:A total of 12 375 subjects, aged (52.6±7.3) years, were included in the study, consisting of 7 275 men (58.79%) and 5 100 women (41.21%). There were 9 900 patients (80.00%) in the normal group and 2 475 patients (20.00%) in the abnormal group. The abnormal rate of cerebral hemodynamics was higher in the Han nationality； those with a history of hypertension, diabetes, and hyperlipidemia. Moreover, those with abnormal cerebral hemodynamic indicators had a higher BMI, systolic pressure, diastolic pressure, pulse pressure and PPI, mean arterial pressure was higher than the normal group (all P<0.001). In different PPI groups, the average blood flow, average velocity, maximum velocity, minimum velocity, and critical pressure level of the left and right sides showed a downward trend with the increase in PPI. Peripheral resistance, pulse wave velocity, characteristic impedance, dynamic resistance, and difference between diastolic and critical pressure all showed an upward trend with the increase in PPI. In different BMI groups, the average blood flow in the obese group on the left side was lower than that in the underweight, normal, and super recombination groups. The average blood flow in the obese group on the right side was lower than that in the normal and super recombination groups and higher than that in the subhypoxia group. The mean, maximum, and minimum velocities of the left and right sides decreased with the increase in BMI. The differences in peripheral resistance, pulse wave velocity, characteristic impedance, dynamic resistance, critical pressure level, diastolic blood pressure, and critical pressure showed an increasing trend with the increase in BMI, and the differences of the above indicators were statistically significant (all P <0.001).The results of unconditional multivariate logistic regression analysis showed that Han nationality, history of hypertension, history of diabetes, PPI, and BMI were the main risk factors for abnormal cerebral hemodynamics. The higher the PPI and BMI, the higher the risk of abnormal cerebral blood flow. Conclusion:The higher the PPI and BMI, the higher the possibility of abnormal cerebral hemodynamic indexes. Extremely high PPI and BMI should be paid greater attention.