The value of glomerular filtration rate and enlarged perivascular space in the prognosis evaluation of patients with acute ischemic stroke

Abstract

Objective To explore the value of glomerular filtration rate (GFR) and enlarged perivascular space (EPVS) in the prognosis evaluation of patients with acute ischemic stroke.  Methods A total of 171 cases of acute ischemic stroke were divided into poor prognosis group (N = 88) and good prognosis group (N = 83) according to modified Rankin Scale (mRS) score. Another 50 healthy people were selected as control group. Serum creatinine (Cr) level and GFR were detected, and EPVS in basal ganglia and centrum semiovale was calculated and graded.  Results Compared with control group, the EPVS scores (P = 0.002, 0.000) and serum Cr levels (P = 0.000, 0.000) in poor prognosis group and good prognosis group were significantly increased, while GFR (P = 0.001, 0.000) in both groups was significantly decreased. The EPVS score (P = 0.001) and serum Cr level (P = 0.034) in poor prognosis group were significantly higher than those in good prognosis group, while GFR (P = 0.000) was significantly lower. According to EPVS diameter, 171 patients were divided into 4 grades (Grade 0-3): 17 cases in Grade 0, 89 cases in Grade 1, 43 cases in Grade 2 and 22 cases in Grade 3. Serum Cr levels in patients with Grade 3 and Grade 2 were significantly higher than those with Grade 1 and Grade 0 (P = 0.000, for all), while GFR were significantly lower than those with Grade 1 and Grade 0 (P = 0.000, for all). Correlation analysis showed that mRS score was positively correlated with EPVS score (r = 0.350, P = 0.033; r = 0.481, P = 0.036) and negatively correlated with GFR (r = -0.447, P = 0.018; r = -0.553, P = 0.002) in poor prognosis group and good prognosis group.  Conclusions The mRS score of acute ischemic stroke patients is positively correlated with EPVS score and negatively correlated with GFR. Both of them can be used as index to predict the prognosis of acute ischemic stroke.

DOI: 10.3969/j.issn.1672-6731.2016.11.008