Critical closing pressure as a new hemodynamic marker of cerebral small vessel diseases burden

PurposeTo investigate cerebrovascular hemodynamics, including critical closing pressure (CrCP) and pulsatility index (PI), and their independent relationship with cerebral small vessel disease (CSVD) burden in patients with small-vessel occlusion (SVO). MethodsWe recruited consecutive patients with SVO of acute cerebral infarction who underwent brain magnetic resonance imaging (MRI), transcranial Doppler (TCD) and CrCP during admission. Cerebrovascular hemodynamics were assessed using TCD. We used the CSVD score to rate the total MRI burden of CSVD. Multiple regression analysis was used to determine parameters related to CSVD burden or CrCP. ResultsNinety-seven of 120 patients (mean age, 64.51 +/- 9.99 years; 76% male) completed the full evaluations in this study. We observed that CrCP was an independent determinant of CSVD burden in four models [odds ratio, 1.41; 95% confidence interval (CI), 1.17-1.71; P < 0.001] and correlated with CSVD burden [beta (95% CI): 0.05 (0.04-0.06); P < 0.001]. In ROC analysis, CrCP was considered as a predictor of CSVD burden, and AUC was 86.2% (95% CI, 78.6-93.9%; P < 0.001). Multiple linear regression analysis showed that CrCP was significantly correlated with age [beta (95% CI): 0.27 (0.06 to 0.47); P = 0.012], BMI [beta (95% CI): 0.61 (0.00-1.22)] and systolic BP [beta (95% CI): 0.16 (0.09-0.23); P < 0.001]. ConclusionsCrCP representing cerebrovascular tension is an independent determinant and predictor of CSVD burden. It was significantly correlated with age, BMI and systolic blood pressure. These results provide new insights in the mechanism of CSVD development.

Automated summary

The purpose of this study was to investigate the cerebrovascular hemodynamics, including critical closing pressure (CrCP) and pulsatility index (PI), and their independent relationship with cerebral small vessel disease (CSVD) burden. The results showed that CrCP was an independent determinant and predictor of CSVD burden, and it was significantly correlated with age, BMI, and systolic blood pressure. These findings provide new insights into the development of CSVD.