ABSTRACT
Objective:To investigate the predictive value of platelet-to-neutrophil ratio (PNR) on hemorrhagic transformation (HT) and poor outcomes at 90 d after intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS).Methods:Patients with AIS received IVT in Hefei Second People's Hospital from July 2019 to June 2021 were retrospectively enrolled. HT was defined as intracerebral hemorrhage found by CT reexamination within 24 h after IVT, and the poor outcome was defined as the modified Rankin Scale score ≥3 at 90 d after onset. Multivariate logistic regression analysis was used to determine the independent predictors of HT and poor outcomes at 90 d, and the predictive value of PNR on HT and poor outcomes at 90 d was analyzed by receiver operating characteristic (ROC) curve. Results:A total of 202 patients with AIS treated with IVT were included, of which 32 had HT and 50 had poor outcomes at 90 d after onset. Multivariate logistic regression analysis showed that PNR at 24 h after IVT was significantly and independently negatively correlated with the poor outcomes (odds ratio [ OR] 0.959, 95% confidence interval [ CI] 0.928-0.991; P=0.012); PNR at admission ( OR 0.886, 95% CI 0.827-0.948; P<0.001) and PNR at 24 h after IVT ( OR 0.923, 95% CI 0.879-0.969; P=0.001) were significantly independently and negatively correlated with HT. ROC curve analysis showed that the area under the curve of PNR at 24 h after IVT for predicting poor outcomes was 0.733 (95% CI 0.659-0.807; P=0.012), the best cutoff value was 35.03, and the predictive sensitivity and specificity were 70.4% and 74%, respectively. The area under the curve of PNR at admission for predicting HT was 0.830 (95% CI 0.774-0.886; P<0.001), the best cutoff value was 34.81, and the predictive sensitivity and specificity were 70% and 93.7%, respectively. The area under the curve of PNR at 24 h after IVT for predicting HT was 0.770 (95% CI 0.702-0.839; P=0.001), the best cutoff value was 41.73, and the predictive sensitivity and specificity were 53.5% and 96.9%, respectively. Conclusion:For patients with AIS treated with IVT, lower PNR at 24 h after IVT is an independent predictor of the poor outcomes at 90 d, while PNR at admission and 24 h after IVT are the independent predictors of HT.
ABSTRACT
Objective:To investigate the correlation between mean platelet volume (MPV) and clinical outcome in patients with acute ischemic stroke (AIS) after intravenous thrombolysis.Methods:Consecutive patients with AIS treated with standard dose alteplase intravenous thrombolysis in the Department of Neurology, the Second People's Hospital of Hefei from July 1, 2019 to August 30, 2020 were enrolled retrospectively. The clinical, laboratory, and imaging data of the patients were collected. The modified Rankin Scale was used to evaluate the clinical outcome at 90 d after onset, and a score of >2 was defined as a poor outcome. Multivariate logistic regression model was used to analyze the independent correlation between MPV and clinical outcome. The receiver operating characteristic (ROC) curve was used to analyze the predictive value of MPV for clinical outcome. Results:A total of 104 patients with AIS who received intravenous thrombolytic therapy were included, including 40 males (38.5%), 64 females (61.5%), and their age was 68.7±12.5 years. The baseline median National Institutes of Health Stroke Scale (NIHSS) score was 6 (interquartile range, 4-11), and the time from onset to intravenous thrombolysis was (128.5±55.9) min. Seventy-five patients (72.1%) had a good outcome, 29 (27.9%) had a poor outcome, and there was no death. The baseline NIHSS score, C-reactive protein, MPV, MPV/platelet count ratio and the proportion of patients with anterior circulation infarction in the poor outcome group were significantly higher than those in the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that MPV (odds ratio [ OR] 1.868, 95% confidence interval [ CI] 1.277-2.732; P=0.001) and baseline NIHSS score ( OR 1.199, 95% CI 1.083-1.328; P<0.001) were the independent risk factors for poor outcome. ROC curve analysis showed that the area under the curve for predicting poor outcome was 0.714 (95% CI 0.606-0.821; P=0.001). The optimal cut-off value was 11.25 fl, the predictive sensitivity and specificity were 65.5% and 70.5%, respectively. Conclusions:There was a significant independent correlation between MPV and the clinical outcome in patients with AIS after intravenous thrombolysis. A higher baseline MPV had a certain predictive value for poor outcome.
ABSTRACT
Objective:To investigate the correlation between neutrophil to lymphocyte ratio (NLR) and 30-day clinical outcomes in patients with spontaneous cerebral hemorrhage and whether adding NLR to ICH score improve the accuracy of predicting poor outcomes.Methods:Patients with spontaneous intracerebral hemorrhage admitted to the Department of Neurology, the Second People's Hospital of Hefei from March 2018 to April 2019 were enrolled retrospectively. The demographic and baseline clinical and imaging data were documented. The absolute neutrophil counts and absolute lymphocyte counts within 24 h of onset were obtained and NLR was calculated. At 30 d after the onset of cerebral hemorrhage, the modified Rankin Scale was used to evaluate the outcomes. Good outcome was defined as ≤2, and poor outcome was defined as >2. Multivariate logistic regression analysis was used to determine the independent risk factors for poor outcomes. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of baseline NLR, ICH score and NLR+ ICH score for poor outcomes in patients with spontaneous cerebral hemorrhage. Results:A total of 159 patients with spontaneous cerebral hemorrhage were enrolled, including 106 males (66.67%), age 62.29±15.10 years. Neutrophil count was (7.30±3.95)×10 9/L, lymphocyte count was (1.41±0.67)×10 9/L, and NLR was 6.94±7.66. Baseline hematoma volume was 17.93±25.87 ml, median ICH score 0 (interquartile range 0-1). The outcomes of 60 patients (37.7%) were poor at 30 d. Univariate analysis showed that coronary heart disease, systolic blood pressure, diastolic blood pressure, high-sensitivity C-reactive protein, fasting blood glucose, white blood cell count, neutrophil count, NLR, hematoma broken into the ventricle, hematoma volume, NIHSS and ICH scores in the poor outcome group were significantly higher than those of the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that NLR was an independent predictor of poor outcomes at 30 d after the onset of spontaneous cerebral hemorrhage (odds ratio 1.135, 95% confidence interval 1.092-2.321; P=0.038). The ROC curve analysis showed that the best cut-off value of NLR was 6.679, and the sensitivity and specificity of predicting poor outcomes were 51.67% and 76.77% respectively; the best cut-off value of ICH score was 1.0, and the sensitivity and specificity of predicting poor outcomes were 69.71% and 89.80% respectively; the sensitivity and specificity of the combined application of NLR + ICH score to predict poor outcomes were 74.58% and 82.65% respectively. Conclusions:NLR was independently associated with poor outcomes at 30 d after the onset of spontaneous cerebral hemorrhage. Adding it to the ICH score could improve the accuracy of predicting poor outcome.