Abstract：【Objective】To study predictive significance of blood pressure variability on white matter lesions in patients with ischemic cerebrovascular disease. 【Methods】Ninety-five patients with ischemic cerebrovascular disease admitted to our hospital from June 2015 to May 2017 were selected as subjects. According to the results of cranial MRI, they were divided into WML group (n=55) and control group (n=40). The severity of WML was assessed by Fazekas scale. WML patients were divided into mild-moderate group (n=25) and severe group (n=30). 24-hour ambulatory blood pressure [24-hour mean systolic blood pressure (24-hour SBP), day mean systolic blood pressure (dmSBP), night mean systolic blood pressure (nmSBP), 24-hour mean diastolic blood pressure (24-hour DBP), day mean diastolic blood pressure (dmDBP), night mean diastolic blood pressure (nmDBP)], coefficient of variation [diurnal systolic blood pressure variability (dSBPV), diurnal diastolic blood pressure variability (dDBPV), nighttime closure ,compression coefficient of variation (nSBPV), nocturnal diastolic pressure coefficient of variation (nDBPV)]were observed. Multivariate logistic regression analysis was used to analyze the risk factors of WML lesions.【Results】The 24h SBP, dmSBP, nmSBP, 24h DBP, dmDBP, nmDBP, dSBPV, dDBPV, nSBPV and nDBPV in the WML group were higher than those in the control group (P<0.05), and the 24h SBP, 24h DBP, dSBPV, dDBPV, nSBPV and nDBPV in the WML severe group were higher than those in the mild-moderate group (P<0.05). Multivariate logistic regression analysis showed that 24h SBP, dSBPV and nSBPV were independent risk factors for WML lesions (P<0.05).【Conclusion】BPV is closely related to WML lesions in patients with ischemic cerebrovascular disease. 24-hour SBP, dSBPV and nSBPV can predict the degree of WML lesions, and should be monitored clinically.
2019, Vol. 36 
