AUTHOR=Wen Lili , Zhou Longjiang , Wu Qi , Tang Xiaoyu , Ge Jiajia , Zhou Xiaoming , Zhang Xin 

TITLE=Early Microcirculatory Hemodynamic Changes Are Correlated With Functional Outcomes at Discharge in Patients With Aneurysmal SAH

JOURNAL=Frontiers in Neurology

VOLUME=Volume 12 - 2021

YEAR=2022

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2021.793411

DOI=10.3389/fneur.2021.793411

ISSN=1664-2295

ABSTRACT=Purpose: The technique of color-coding blood flow analysis were used to explore the correlation between the microcirculatory hemodynamic changes on DSA images in patients with aneurysmal subarachnoid hemorrhage (SAH) at the early stage and functional outcomes at discharge.
Methods: Data of 119 patients who underwent DSA examination due to SAH were retrospectively analyzed. The following hemodynamic parameters of four Regions of Interest (ROIs) (an ophthalmic segment of the internal carotid artery (ICA), frontal and parietal lobe, and superior sagittal sinus) were analyzed: time-to-peak (TTP), area under curve (AUC), full width at half maximum (FWHM), mean transit time (MTT), and circulation time. Multi-factor regression analysis was performed to explore the correlation between the hemodynamic parameters and functional outcomes in patients at discharge.
Results: Of the 119 patients with SAH, the good and poor outcome was found in 83 (69.7%) and 36 (30.3%) patients, respectively. The hemodynamic parameters including FWHM , relative TTP (rTTP), and circulation time were significantly correlated with the Hunt-Hess grade (p<0.005, p=0.03, and p<0.005) and World Federation of Neurological Societies Scalegrade (p<0.005, p=0.02, and p=0.01). The FWHM was significantly prolonged with the increase of modified Fisher grade (p=0.02). The multi-factor analysis showed that FWHM (OR 17.56, 95%CI: 1.13-272.03, p=0.04) was an independent risk factor predicting the functional outcomes in patients at discharge.
Conclusion: The technique of color-coding blood flow analysis could be suitable for the qualified evaluation of disease conditions at early stage of SAH, as well as the prediction of outcomes.