Xin yixue (Oct 2022)
Application of modified PASS score in acute cerebral infarction due to large artery occlusion
Abstract
Objective To evaluate the application effect of modified prehospital acute stroke severity scale（mPASS） in acute cerebral infarction due to large artery occlusion. Methods In this retrospective study, 112 patients with acute cerebral infarction were recruited and assigned into the occlusion （n = 59） and non-occlusion groups （n = 53） according to the presence of acute cerebral infarction due to large artery occlusion. The neurological functional scores at admission were collected： National Institutes of Health Stroke Scale （NIHSS）, PASS and mPASS scores. The Modified Rankin Scale （mRS） score was calculated to evaluate clinical prognosis. The predictive value of each score was expressed by the area under the receiver operating characteristic （ROC） curve （AUC）. The sensitivity and specificity were calculated. Youden index was utilized to assess the optimal cut-off value. The relationship between large artery occlusion and the sub-items of the mPASS was assessed by logistic regression analysis. Results The neurological functional and mRS scores in the occlusion group were significantly higher than those in the non-occlusion group （both P < 0.01）. The AUC, sensitivity, specificity, Youden index and accuracy of mPASS score were significantly higher compared with those of PASS score. Logistic regression analysis indicated that the cortical symptom-gaze yielded the most reference significance （P < 0.001）. The mRS score was positively correlated with the sub-items of mPASS （mRS score=0.554+0.037 consciousness level +1.965 gaze+0.206 limb movement+0.193 language function, F = 25.361, P < 0.001）. Conclusion Compared with NIHSS and PASS, mPASS is a more effective tool for identifying acute cerebral infarction due to large artery occlusion.
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