Objective To investigate the influencing factors associated with early neurological deterioration(END)in patients with minor acute ischemic stroke(mAIS),develop a clinical prediction model for END,and identify independent risk factors for 90-day neurological functional outcomes after stroke.Methods mAIS patients admitted consecutively to the Department of Neurology,Yijishan Hospital of Wannan Medical College(the First Affiliated Hospital of Wannan Medical College),from July 2023 to July 2024 were retrospectively collected.A minor ischemic stroke was defined as acute ischemic stroke with a National Institutes of Health stroke scale(NIHSS)score≤5 on admission.Baseline,clinical,and imaging data of all mAIS patients were collected and recorded,including demographic information(age,sex),past medical history(hypertension,diabetes mellitus,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,alcohol consumption,baseline blood pressure,pre-onset modified Rankin scale(mRS),NIHSS scores at admission and during hospitalization(24 hours,48 hours,72 hours after admission),motor component subscore of the NIHSS scores,NIHSS scores at discharge,trial of Org 10172 in acute stroke treatment(TOAST)classification,laboratory indicators(fasting blood glucose,hemoglobin A1c[HbA1c],total cholesterol,triglycerides,high-density lipoprotein,low-density lipoprotein),clinical treatment information(intravenous thrombolysis,mono antiplatelet therapy,dual antiplatelet therapy,anticoagulation therapy)and length of stay.The status of stenosis and occlusion in the culprit vessel were assessed based on imaging results.Mild-to-moderate stenosis was defined as a stenosis rate of 0％to 69％,severe stenosis as a stenosis rate of 70％to 99％,and occlusion as complete interruption of the supplying artery.END was defined as an increase in NIHSS score of ≥2 points from baseline within 72 hours after admission,combined with an increase of at least 1 point in the motor score compared to the score at admission.Prognosis was assessed via telephone follow-ups at 90-day after onset using mRS score,with an mRS score ≤ 2 indicating a favorable outcome and an mRS score＞2 indicating a poor outcome.Variables with P＜0.05 in the univariate analysis were incorporated into multivariate Logistic regression analysis to identify the independent risk factors for END in mAIS patients.A nomogram model was constructed,and calibration curves along with decision curve analysis were plotted to evaluate the model's goodness-of-fit and clinical utility.Univariate and multivariate Logistic regression analyses were performed to identify factors associated with poor 90-day functional outcome after mAIS.Results(1)A total of 826 patients were included,aged 33-94 years,with a median age of 67(57,76)years.There were 571 males and 255 females.The NIHSS score at admission ranged from 0 to 5,with a median NIHSS score at admission of 3(2,4).The NIHSS motor subscore at admission ranged from 0 to 5,with a median baseline NIHSS motor score of 2(0,2).Among them,119 patients(14.4％)were in the END group and 707 patients(85.6％)were included in the non-END group.At 90days after stroke,744 patients(90.1％)had a favorable outcome,while 82 patients(9.9％)had a poor outcome.(2)Univariate analysis showed that there were statistically significant differences between the END group and the non-END group in terms of HbA1c,fasting blood glucose,baseline NIHSS score,baseline NIHSS motor subscore,history of alcohol consumption,diabetes mellitus,culprit vessel stenosis and occlusion,and TOAST classification(all P＜0.05).Statistically significant differences were observed between the favorable outcome group and the poor outcome group in HbA1c,fasting blood glucose,incidence of END,baseline NIHSS score,discharge NIHSS score,culprit vessel stenosis and occlusion,TOAST classification,and history of alcohol consumption(all P＜0.05).(3)Multivariate Logistic regression analysis indicated that mAIS patients with severe stenosis of the culprit vessel(OR,5.88,95％CI2.32-14.91,P＜0.01),occlusion of the culprit vessel(OR,5.74,95％CI 2.25-14.62,P＜0.01),history of alcohol consumption(OR,5.59,95％CI3.41-9.17,P＜0.01),elevated HbA1c(OR,1.67,95％CI 1.35-2.08,P＜0.01),and higher baseline NIHSS motor score(OR,1.43,95％CI 1.08-1.89,P=0.012)had an increased risk of END.A higher discharge NIHSS score(OR,2.59,95％CI 1.89-3.57,P＜0.01)and the occurrence of END(OR,18.42,95％CI 5.13-66.18,P＜0.01)were associated with poor 90-day functional outcome after mAIS.(4)The nomogram model constructed based on independent risk factors of END in mAIS patients demonstrated an AUC of 0.78(95％CI 0.73-0.83)for predicting END,with a sensitivity of 0.8 and a specificity of 0.7.The model showed good calibration,and the Hosmer-Lemeshow test indicated good agreement between predicted and observed values(P=0.333).Decision curve analysis revealed that the model provided a high net benefit across a range of high-risk thresholds(0.1-0.7),suggesting its potential clinical utility.Conclusions Severe stenosis of the culprit vessel,occlusion of the culprit vessel,glycated hemoglobin levels,baseline NIHSS motor subscale scores,and history of alcohol consumption are independent risk factors for END in patients with mAIS.The nomogram model constructed based on these factors demonstrated good predictive performance.END and NIHSS scores at discharge are independent predictors of poor 90-day outcomes in patients with mAIS.

Objective To investigate the influencing factors associated with early neurological deterioration(END)in patients with minor acute ischemic stroke(mAIS),develop a clinical prediction model for END,and identify independent risk factors for 90-day neurological functional outcomes after stroke.Methods mAIS patients admitted consecutively to the Department of Neurology,Yijishan Hospital of Wannan Medical College(the First Affiliated Hospital of Wannan Medical College),from July 2023 to July 2024 were retrospectively collected.A minor ischemic stroke was defined as acute ischemic stroke with a National Institutes of Health stroke scale(NIHSS)score≤5 on admission.Baseline,clinical,and imaging data of all mAIS patients were collected and recorded,including demographic information(age,sex),past medical history(hypertension,diabetes mellitus,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,alcohol consumption,baseline blood pressure,pre-onset modified Rankin scale(mRS),NIHSS scores at admission and during hospitalization(24 hours,48 hours,72 hours after admission),motor component subscore of the NIHSS scores,NIHSS scores at discharge,trial of Org 10172 in acute stroke treatment(TOAST)classification,laboratory indicators(fasting blood glucose,hemoglobin A1c[HbA1c],total cholesterol,triglycerides,high-density lipoprotein,low-density lipoprotein),clinical treatment information(intravenous thrombolysis,mono antiplatelet therapy,dual antiplatelet therapy,anticoagulation therapy)and length of stay.The status of stenosis and occlusion in the culprit vessel were assessed based on imaging results.Mild-to-moderate stenosis was defined as a stenosis rate of 0％to 69％,severe stenosis as a stenosis rate of 70％to 99％,and occlusion as complete interruption of the supplying artery.END was defined as an increase in NIHSS score of ≥2 points from baseline within 72 hours after admission,combined with an increase of at least 1 point in the motor score compared to the score at admission.Prognosis was assessed via telephone follow-ups at 90-day after onset using mRS score,with an mRS score ≤ 2 indicating a favorable outcome and an mRS score＞2 indicating a poor outcome.Variables with P＜0.05 in the univariate analysis were incorporated into multivariate Logistic regression analysis to identify the independent risk factors for END in mAIS patients.A nomogram model was constructed,and calibration curves along with decision curve analysis were plotted to evaluate the model's goodness-of-fit and clinical utility.Univariate and multivariate Logistic regression analyses were performed to identify factors associated with poor 90-day functional outcome after mAIS.Results(1)A total of 826 patients were included,aged 33-94 years,with a median age of 67(57,76)years.There were 571 males and 255 females.The NIHSS score at admission ranged from 0 to 5,with a median NIHSS score at admission of 3(2,4).The NIHSS motor subscore at admission ranged from 0 to 5,with a median baseline NIHSS motor score of 2(0,2).Among them,119 patients(14.4％)were in the END group and 707 patients(85.6％)were included in the non-END group.At 90days after stroke,744 patients(90.1％)had a favorable outcome,while 82 patients(9.9％)had a poor outcome.(2)Univariate analysis showed that there were statistically significant differences between the END group and the non-END group in terms of HbA1c,fasting blood glucose,baseline NIHSS score,baseline NIHSS motor subscore,history of alcohol consumption,diabetes mellitus,culprit vessel stenosis and occlusion,and TOAST classification(all P＜0.05).Statistically significant differences were observed between the favorable outcome group and the poor outcome group in HbA1c,fasting blood glucose,incidence of END,baseline NIHSS score,discharge NIHSS score,culprit vessel stenosis and occlusion,TOAST classification,and history of alcohol consumption(all P＜0.05).(3)Multivariate Logistic regression analysis indicated that mAIS patients with severe stenosis of the culprit vessel(OR,5.88,95％CI2.32-14.91,P＜0.01),occlusion of the culprit vessel(OR,5.74,95％CI 2.25-14.62,P＜0.01),history of alcohol consumption(OR,5.59,95％CI3.41-9.17,P＜0.01),elevated HbA1c(OR,1.67,95％CI 1.35-2.08,P＜0.01),and higher baseline NIHSS motor score(OR,1.43,95％CI 1.08-1.89,P=0.012)had an increased risk of END.A higher discharge NIHSS score(OR,2.59,95％CI 1.89-3.57,P＜0.01)and the occurrence of END(OR,18.42,95％CI 5.13-66.18,P＜0.01)were associated with poor 90-day functional outcome after mAIS.(4)The nomogram model constructed based on independent risk factors of END in mAIS patients demonstrated an AUC of 0.78(95％CI 0.73-0.83)for predicting END,with a sensitivity of 0.8 and a specificity of 0.7.The model showed good calibration,and the Hosmer-Lemeshow test indicated good agreement between predicted and observed values(P=0.333).Decision curve analysis revealed that the model provided a high net benefit across a range of high-risk thresholds(0.1-0.7),suggesting its potential clinical utility.Conclusions Severe stenosis of the culprit vessel,occlusion of the culprit vessel,glycated hemoglobin levels,baseline NIHSS motor subscale scores,and history of alcohol consumption are independent risk factors for END in patients with mAIS.The nomogram model constructed based on these factors demonstrated good predictive performance.END and NIHSS scores at discharge are independent predictors of poor 90-day outcomes in patients with mAIS.

Objective To investigate the influencing factors for acute multiple vessels occlusion(MVO)and its impact on the prognosis of patients with anterior circulation acute large vessel occlusion stroke(ALVOS)who achieved successful recanalization after endovascular treatment(EVT).Methods Patients with anterior circulation ALVOS who received successful EVT at the Yijishan Hospital of Wannan Medical College between July 2015 and April 2023 were retrospectively analyzed.Baseline data,including age,sex,onset-to-puncture time(OTP),onset-to-recanalization time(OTR),medical history(including atrial fibrillation,diabetes,hypertension),alcohol and smoking history,admission blood pressure(systolic and diastolic),Alberta stroke program early CT score(ASPECTS),National Institutes of Health stroke scale(NIHSS)score,trial of Org 10172 in acute stroke treatment(TOAST)classification(atherosclerotic type,cardioembolic type,and other etiology types),and 90-day modified Rankin scale(mRS)score were collected.Collateral circulation was assessed based on the degree of contrast agent reflux observed in the occluded arterial supply area during delayed DSA,and patients were classified into poor and good collateral circulation groups.Malignant cerebral edema was defined as a midline shift of ≥5 mm on the follow-up CT scan performed on day 3 post-surgery.The primary endpoint(efficacy indicator)was the 90-day mRS score,with mRS score≤ 2 considered as a good prognosis and mRS score＞2 considered as a poor prognosis.The secondary endpoint(safety indicator)was the 90-day mortality rate.All patients were divided into MVO and non-MVO groups based on whether they had single or multiple intracranial vessel occlusions.Acute MVO was defined as the detection of acute occlusion of other large or medium vessels,in addition to the main vessels(internal carotid artery or M1/M2 segments of the middle crebral artery[MCA]),in CT angiography,MR angiography,or DSA,resulting in ischemia in brain regions distinct from the main occlusion area.Factors that showed statistically significant differences in univariate analysis were further analyzed using multivariate Logistic regression to identify the risk factors for the occurrence of acute MVO and the factors associated with the prognosis of ALVOS patients.Results A total of 846 patients with ALVOS were included,with ages ranging from 26 to 94 years(mean age[69±11]years).The proportion of male patients was 57.2％(484/846).The median admission ASPECTS was 8(7,9)and the median admission NIHSS score was 14(12,18).The incidence of malignant cerebral edema at 3 days post-surgery was 13.4％(112/835),and the 90-day mortality rate was 19.1％(162/846).(1)Among the 846 ALVOS patients,810(95.7％)were in the non-MVO group and 36(4.3％)were in the MVO group.Univariate analysis showed significant differences between the MVO and non-MVO groups in terms of atrial fibrillation,malignant cerebral edema,admission ASPECTS,admission NIHSS scores,TOAST classification,collateral circulation,rate of complete recanalization,and 90-day poor prognosis rate(all P＜0.05).However,there was no statistically significant difference in 90-day mortality between the two groups(P=0.193).Multivariate Logistic regression analysis showed that TOAST classification of cardioembolic type(OR,16.089,95％CI 1.835-141.061,P=0.012)and other etiology types(OR,9.768,95％CI 1.078-88.540,P=0.043)were associated with the occurrence of MVO.(2)Among the 846 ALVOS patients,445 had a good prognosis at 90days,and 401 had a poor prognosis.Univariate analysis showed that,compared to the good prognosis group,the poor prognosis group had a lower proportion of males and smokers,and a higher proportion of patients with older age,higher baseline systolic blood pressure,hypertension,diabetes,and atrial fibrillation(all P＜0.01).Additionally,the poor prognosis group had higher admission NIHSS scores(P＜0.01),lower admission ASPECTS,lower rates of good collateral circulation and complete recanalization,higher rates of malignant cerebral edema and MVO,and statistically significant differences in TOAST classification distribution(all P＜0.01).Multivariate Logistic regression analysis showed that MVO was associated with poor 90-day prognosis in ALVOS patients after EVT(OR,3.368,95％CI 1.149-9.878,P=0.027).Furthermore,older age(OR,1.045,95％CI 1.025-1.066),diabetes(OR,1.719,95％CI 1.080-2.734),higher baseline systolic blood pressure(OR,1.012,95％CI 1.004-1.019),lower admission ASPECTS(OR,0.746,95％CI 0.674-0.826),higher admission NIHSS score(OR,1.115,95％CI 1.070-1.162),without immediate postoperative complete recanalization(OR,0.413,95％CI 0.290-0.592),poor collateral circulation(OR,0.594,95％CI 0.415-0.851),and malignant cerebral edema(OR,6.191,95％CI 3.026-12.670)were all associated with poor 90-day prognosis after EVT in ALVOS patients(all P＜0.05).Conclusions The TOAST classification of cardioembolic type and other etiology types is associated with MVO.MVO is a risk factor for poor outcomes after successful EVT in ALVOS patients.