TY - JOUR
T1 - Perfusion and diffusion variables predict early neurological deterioration in minor stroke and large vessel occlusion
AU - Gwak, Dong Seok
AU - Kwon, Jung A.
AU - Shim, Dong Hyun
AU - Kim, Yong Won
AU - Hwanga, Yang Ha
N1 - Publisher Copyright:
© 2021 Korean Stroke Society.
PY - 2021
Y1 - 2021
N2 - Background and Purpose Patients with acute large vessel occlusion (LVO) presenting with mild stroke symptoms are at risk of early neurological deterioration (END). This study aimed to identify the optimal imaging variables for predicting END in this population. Methods We retrospectively analyzed 94 patients from the prospectively maintained institutional stroke registry admitted between January 2011 and May 2019, presenting within 24 hours after onset, with a baseline National Institutes of Health Stroke Scale score ≤5 and anterior circulation LVO. Patients who underwent endovascular therapy before END were excluded. Volumes of Tmax delay (at >2, >4, >6, >8, and >10 seconds), mismatch (Tmax >4 seconds - diffusion-weighted imaging [DWI] and Tmax >6 seconds - DWI), and mild hypoperfusion lesions (Tmax 2-6 and 4-6 seconds) were measured. The association of each variable with END was examined using receiver operating characteristic curves. The variables with best predictive performance were dichotomized at the cutoff point maximizing Youden’s index and subsequently analyzed using multivariable logistic regression. Results END occurred in 39.4% of the participants. The optimal variables were identified as Tmax >6 seconds, Tmax >6 seconds - DWI, and Tmax 4-6 seconds with cut-off points of 53.73, 32.77, and 55.20 mL, respectively. These variables were independently associated with END (adjusted odds ratio [aOR], 12.78 [95% confidence interval (CI), 3.36 to 48.65]; aOR, 5.73 [95% CI, 2.04 to 16.08]; and aOR, 9.13 [95% CI, 2.76 to 30.17], respectively). Conclusions Tmax >6 seconds, Tmax >6 seconds - DWI, and Tmax 4-6 seconds could identify patients at high risk of END following minor stroke due to LVO.
AB - Background and Purpose Patients with acute large vessel occlusion (LVO) presenting with mild stroke symptoms are at risk of early neurological deterioration (END). This study aimed to identify the optimal imaging variables for predicting END in this population. Methods We retrospectively analyzed 94 patients from the prospectively maintained institutional stroke registry admitted between January 2011 and May 2019, presenting within 24 hours after onset, with a baseline National Institutes of Health Stroke Scale score ≤5 and anterior circulation LVO. Patients who underwent endovascular therapy before END were excluded. Volumes of Tmax delay (at >2, >4, >6, >8, and >10 seconds), mismatch (Tmax >4 seconds - diffusion-weighted imaging [DWI] and Tmax >6 seconds - DWI), and mild hypoperfusion lesions (Tmax 2-6 and 4-6 seconds) were measured. The association of each variable with END was examined using receiver operating characteristic curves. The variables with best predictive performance were dichotomized at the cutoff point maximizing Youden’s index and subsequently analyzed using multivariable logistic regression. Results END occurred in 39.4% of the participants. The optimal variables were identified as Tmax >6 seconds, Tmax >6 seconds - DWI, and Tmax 4-6 seconds with cut-off points of 53.73, 32.77, and 55.20 mL, respectively. These variables were independently associated with END (adjusted odds ratio [aOR], 12.78 [95% confidence interval (CI), 3.36 to 48.65]; aOR, 5.73 [95% CI, 2.04 to 16.08]; and aOR, 9.13 [95% CI, 2.76 to 30.17], respectively). Conclusions Tmax >6 seconds, Tmax >6 seconds - DWI, and Tmax 4-6 seconds could identify patients at high risk of END following minor stroke due to LVO.
KW - Clinical deterioration
KW - Magnetic resonance imaging
KW - Stroke
UR - http://www.scopus.com/inward/record.url?scp=85101653031&partnerID=8YFLogxK
U2 - 10.5853/jos.2020.01466
DO - 10.5853/jos.2020.01466
M3 - Article
AN - SCOPUS:85101653031
SN - 2287-6391
VL - 23
SP - 61
EP - 68
JO - Journal of Stroke
JF - Journal of Stroke
IS - 1
ER -