Objective To investigate the characteristics of white matter lesions (WML) and cerebral
hemodynamics in patients with H type hypertension.
Methods WML patients with hypertension in the Second People's Hospital of Lianyungang were
retrospectively analyzed. According to the level of Hcy, the selected patients were divided into H type
hypertension group and simple hypertension group. The severity of WML was evaluated by MRI and
the Fazekas scale. Intracranial arteries were detected by TCD and their hemodynamic characteristics
such as pulsatility index (PI) and mean blood flow velocity (Vm) were analyzed. The severity of WML
and the characteristics of cerebral hemodynamics were compared between the two groups. Based
on the normal PI (0.65-1.10), all the patients were divided into the normal PI group and increased PI
group (>1.10). Logistic regression was used to analyze the influencing factors for PI.
Results Finally, a total of 217 WML patients with hypertension were enrolled in this study, aged
40-85 years, with an average age of 66.35±8.08 years and 150 males (69.1%). Among them,131 patients (60.4%) were in the H type hypertension group. The total Fazekas score of H type
hypertension group was higher than that of simple hypertension group (2.45±0.33 vs 2.16±0.36,
P =0.011), and the paraventricular Fazekas score was also higher than that of simple hypertension
group (1.48±0.12 vs 1.38±0.15, P =0.009). There was no statistical difference in deep white matter
Fazekas score between the two groups. Middle cerebral artery (MCA) PI (1.21±0.20 vs 1.10±0.17,
P =0.016) and anterior cerebral artery (ACA) PI (1.16±0.18 vs 1.07±0.18, P =0.023) in H type
hypertension group were higher than that in simple hypertension group. Logistic regression analysis
showed that H type hypertension was an independent influence factor of ACA PI (OR 2.080, 95%CI
1.073-4.033, P =0.030) and MCA PI (OR 1.951, 95%CI 1.015-3.749, P =0.045).
Conclusions H type hypertension is related to the severity of WML, and H type hypertension is an
independent influence factor for ACA PI and MCA PI.