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Objective:To investigate the predictive value of monocyte-to-high-density lipoprotein cholesterol ratio (MHR) for early neurological deterioration (END) and hemorrhagic transformation (HT) after intravenous thrombolysis in patients with acute ischemic stroke (AIS).Methods:Patients with AIS received IVT in Hefei Second People's Hospital from May 2020 to January 2022 were retrospectively enrolled. Blood collection was completed and MHR was calculated before intravenous thrombolysis. END was defined as an increase of ≥2 from the baseline in the National Institutes of Health Stroke Scale (NIHSS) score or ≥1 from the baseline in motor function score at any time within 7 d after admission. HT was defined as intracranial hemorrhage newly found by CT/MRI within 24 h after intravenous thrombolysis. Multivariate logistic regression analysis was used to determine the independent predictors of END and HT, and the receiver operating characteristic (ROC) curve was used to analyze the predictive value of MHR for END and HT. Results:A total of 186 patients with AIS treated with IVT were included, of which 50 (26.9%) had END and 31 (16.7%) had HT. The median MHR was 0.43. The MHR in the END group was significantly higher than that in the non-END group (0.49 vs. 0.40; P=0.008), and the MHR in the HT group was significantly higher than that in the non-HT group (0.52 vs. 0.40; P=0.013). All patients were divided into 4 groups (MHR1, MHR2, MHR3 and MHR4) according to the MHR quartile from low to high. Multivariate logistic regression analysis showed that after adjusting for confounding factors, taking MHR1 as a reference, MHR3 (odds ratio [ OR] 6.317, 95% confidence interval [ CI] 1.465-27.237; P=0.013) and MHR4 ( OR 8.064, 95% CI 1.910-34.051; P=0.005) were the significant independent predictors of END; Taking MHR1 as a reference, MHR4 ( OR 5.147, 95% CI 1.194-22.182; P=0.028) was the significant independent predictor of HT. The ROC curve analysis showed that the area under the curve of MHR for predicting END was 0.628 (95% CI 0.554-0.698; P=0.008). When the optimal MHR cutoff value was 0.41, its sensitivity and specificity for predicting END was 74.0% and 53.7% respectively. The area under the curve of MHR for predicting HT was 0.642 (95% CI 0.569-0.711; P=0.013). When the best cutoff value was 0.44, the sensitivity and specificity of MHR for predicting HT were 77.4% and 58.1% respectively. Conclusion:Higher MHR is a risk factor for END and HT after intravenous thrombolysis in patients with AIS, but the predictive value of MHR for END and HT is limited.
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Ischemic stroke is the second leading cause of disability and death worldwide, which brings heavy burden to society and families. Epidemiological studies have shown that vitamin D level are associated with the prevalence of hypertension, diabetes, atherosclerosis, and cerebrovascular events. This article reviews the relationship between vitamin D level and ischemic stroke risk, infarct volume in acute phase, severity of neurological deficit and functional outcome, and discusses the impact of vitamin D supplementation on ischemic stroke, and expects to provide new ideas for the prevention and treatment of ischemic stroke.
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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.