VALUE OF HALP+NIHSS SCORE IN PREDICTING THE PROGNOSIS OF PATIENT WITH LARGE ARTERY ATHEROSCLEROSIS CEREBRAL INFARCTION

Abstract

Objective To investigate the value of HALP+NIHSS score in predicting the prognosis of patients with large artery atherosclerosis (LAA) cerebral infarction. Methods A retrospective analysis was performed for the clinical data of 500 patients who were diagnosed with LAA cerebral infarction in our hospital from January 2020 to October 2021. On day 30 after di-sease onset, modified Rankin Scale (mRS) score was used to evaluate clinical outcome, and according to the mRS score, the patients were divided into good prognosis group (mRS score ≤2) and poor prognosis group (mRS score >2). Related clinical data were compared between the two groups. A logistic regression analysis was used to evaluate the influencing factors for poor prognosis in patients with LAA cerebral infarction, and the receiver operating characteristic (ROC) curve was plotted to analyze the value of NIHSS score, HALP score, and NIHSS+HALP score in predicting the prognosis of patients with LAA cerebral infarction. Results The multivariate logistic regression analysis showed that old age, hypertension, high NIHSS score, and increased low-density lipoprotein level were risk factors for poor prognosis in patients with LAA cerebral infarction (P<0.05), while the increase in HALP score was a protective factor against poor prognosis in patients with LAA cerebral infarction (P<0.05). The ROC curve analysis showed that HALP+NIHSS score had a significantly better predictive value than HALP score and NIHSS score (P<0.05), with an area under the ROC curve of 0.879 (95%CI=0.849-0.910). Conclusion HALP+NIHSS score has a certain value in predicting the prognosis of patients with LAA cerebral infarction.

Keywords

• brain infarction|intracranial arteriosclerosis|halp score|nihss score|logistic models|roc curve|prognosis|risk factors