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Objective:To comprehensively evaluate the correlation between migraine and the risk of hemorrhagic stroke using Meta-analysis.Methods:The published observational studies on migraine and the risk of hemorrhagic stroke in PubMed, EMbase, Cochrane library, Chinese Biomedical Database, China Journal Full-text Database, Wanfang Database and VIP Database were retrieved by computers. The retrieval time limit was from the establishment of the databases to December 31, 2019. Two reviewers independently conducted the literature screening and data extraction, and evaluated the quality according to Newcastle Ottawa scale. Stata SE 12.1 software was used for Meta-analysis.Results:Six case-control studies and 7 cohort studies met the inclusion criteria, all of which were in English. The results of Meta-analysis showed that exposure to migraine increased the risk of hemorrhagic stroke (odds ratio [ OR] 1.47, 95% confidence interval [ CI] 1.23-1.76; P<0.001). Sensitivity analysis showed that the results were robust. Subgroup analysis showed that migraine with aura ( OR 1.38, 95% CI 1.05-1.81; P=0.019), migraine without aura ( OR 1.46, 95% CI 1.19-1.80; P<0.001), male ( OR 2.10, 95% CI 1.72-2.56; P<0.001) and female ( OR 1.53, 95% CI 1.22-1.92; P<0.001) migraine could increase the risk of hemorrhagic stroke. Conclusion:Regardless of the gender of patients and presence or absence of migraine aura, migraine can significantly increase the risk of hemorrhagic stroke.
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Objective To investigate the predictive value of neutrophil to lymphocyte ratio (NLR) in peripheral blood for the outcomes in patients with acute intracerebral hemorrhage.Methods Consecutive inpatients with intracerebral hemorrhage diagnosed with the head CT were entolled.The modified Rankin Scale (mRS) was used to evaluate the functional outcomes at 90 d,0-2 wvas defined as good outcome,3-6 were defined as poor outcome,and 6 was defined as death.Univariate analysis was used to compare the demographic characteristics,baseline data,imaging,and laboratory findings between the groups.Multivariate logistic regression analysis was used to determine the independent correlation between NLR and the outcomes,and receiver operating characteristics (ROC) analysis was performed to assess the predictive value of NLR for the outcomes.Results A total of 205 patients with acute intracerebral hemorrhage were enrolled in the study,107 (52.2％) had poor outcome and 57 (27.8％) died.There were significant differences in age (P=0.038),Glasgow Coma Scale (GCS) scores (P=0.001),National Institutes of Health Stroke Scale (NIHSS) scores (P =0.001),neutrophil count (P =0.005),lymphocyte count (P =0.002),NLR (P =0.001),fasting blood glucose (P =0.012),hypersensitivity C-reactive protein (P=0.002),hematoma volume (P =0.005),and proportion of bleeding into the ventricles (P =0.002) between the poor outcome group and the good outcome group.There were significant differences in age (P =0.002),previous stroke (P =0.018),GCS scores (P =0.001),NIHSS scores (P =0.001),neutrophil count (P=0.008),lymphocyte count (P=0.001),NLR (P=0.001),fasting blood glucose (P=0.016),hematoma volume (P=0.001),and proportion of bleeding into ventricle (P=0.002) between the death group and the survival group.Multivariate logistic regression analysis showed that NLR was an independent predictive factor for poor outcome (odds ratio [OR] 2.405,95％ confidence interval [CI] 1.613-3.587;P=0.001) and death (OR 2.268,95％ CI 1.532-3.358;P =0.001) after adjusting for confounders.The ROC curve analysis showed that NLR had a higher predictive value for poor outcome at 90 d (area under the ROC curve 0.703,95％ CI 0.632-0.774;P ＜ 0.001).When the cutoff value was 2.3,the sensitivity and specificity were 61.7％ and 72.4％,respectively.NLR also had a predictive value for death within 90 d (area under the ROC curve 0.706,95％ CI 0.629-0.786;P =0.003).When the cutoff value was 2.2,the sensitivity and specificity were 63.2％ and 72.6％,respectively.Conclusion NLR may have certain predict value for outcomes in patients with acute intracerebral hemorrhage.
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Objective To investigate the predictive value of neutrophil to lymphocyte ratio (NLR) in peripheral blood for the outcomes in patients with acute intracerebral hemorrhage.Methods Consecutive inpatients with intracerebral hemorrhage diagnosed with the head CT were entolled.The modified Rankin Scale (mRS) was used to evaluate the functional outcomes at 90 d,0-2 wvas defined as good outcome,3-6 were defined as poor outcome,and 6 was defined as death.Univariate analysis was used to compare the demographic characteristics,baseline data,imaging,and laboratory findings between the groups.Multivariate logistic regression analysis was used to determine the independent correlation between NLR and the outcomes,and receiver operating characteristics (ROC) analysis was performed to assess the predictive value of NLR for the outcomes.Results A total of 205 patients with acute intracerebral hemorrhage were enrolled in the study,107 (52.2％) had poor outcome and 57 (27.8％) died.There were significant differences in age (P=0.038),Glasgow Coma Scale (GCS) scores (P=0.001),National Institutes of Health Stroke Scale (NIHSS) scores (P =0.001),neutrophil count (P =0.005),lymphocyte count (P =0.002),NLR (P =0.001),fasting blood glucose (P =0.012),hypersensitivity C-reactive protein (P=0.002),hematoma volume (P =0.005),and proportion of bleeding into the ventricles (P =0.002) between the poor outcome group and the good outcome group.There were significant differences in age (P =0.002),previous stroke (P =0.018),GCS scores (P =0.001),NIHSS scores (P =0.001),neutrophil count (P=0.008),lymphocyte count (P=0.001),NLR (P=0.001),fasting blood glucose (P=0.016),hematoma volume (P=0.001),and proportion of bleeding into ventricle (P=0.002) between the death group and the survival group.Multivariate logistic regression analysis showed that NLR was an independent predictive factor for poor outcome (odds ratio [OR] 2.405,95％ confidence interval [CI] 1.613-3.587;P=0.001) and death (OR 2.268,95％ CI 1.532-3.358;P =0.001) after adjusting for confounders.The ROC curve analysis showed that NLR had a higher predictive value for poor outcome at 90 d (area under the ROC curve 0.703,95％ CI 0.632-0.774;P ＜ 0.001).When the cutoff value was 2.3,the sensitivity and specificity were 61.7％ and 72.4％,respectively.NLR also had a predictive value for death within 90 d (area under the ROC curve 0.706,95％ CI 0.629-0.786;P =0.003).When the cutoff value was 2.2,the sensitivity and specificity were 63.2％ and 72.6％,respectively.Conclusion NLR may have certain predict value for outcomes in patients with acute intracerebral hemorrhage.
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Objective To investigate the characteristics of pathogen distribution and drug resistance of pulmonary infection in hemorrhagic brain injury patients from neurosurgical intensive care unit (NICU).Methods Clinical data of 234 patients with hemorrhagic brain injury hospitalized in NICU from March 2013 to September 2014 were retrospectively analyzed.According to the incidence of pulmonary infection,the patients were divided into pulmonary infection group and non-pulmonary infection group.Parameters estimated were admission GCS,sex,age,history of smoking,time of coma,duration of mechanical ventilation,NICU length of stay.Patients in pulmonary infection group were analyzed on the distribution of pathogens and incidence of drug resistance.Results A total of 158 patients (67.5％) had pulmonary infection.Among them 60 cases (38.6％) were found to be co-infected including infection with two pathogens in 26 cases (16.5％),three pathogens in 19 cases (12.0％),and four and more pathogens in 16 cases (10.1％).Age and smoking increased the incidence of pulmonary infection (P ＜ 0.05).Time of coma,duration of mechanical ventilation,and NICU length of stay were prolonged in pulmonary infection group than in non-pulmonary infection group (P ＜ 0.05).A total of 219 strains of pathogens were isolated from the patients in pulmonary infection group.Specifically,there were 193 strains of gram negative bacteria (88.1％),13 strains of gram positive bacteria (5.9％),and 13 strains of fungi (5.9％).Gram negative were sensitive to amikacin,imipenem,cefoperazone/ sulbactam and ciprofloxacin.Staphylococcus aureus isolated were 100％ sensitive to vancomycin,linezolid and teicoplanin,and were completely penicillin resistant.Fungi were not resistant to voriconazole,itraconazole,ketoconazole,fluconazol,and amphotericin B.Conclusions High incidence of pulmonary infection is noted among the hemorrhagic brain injury patients in NICU,and the pathogens are diverse dominated by Gram negative bacteria.Incidence of multi-drug resistant pulmonary infection is high,indicating that the key point is to choose antibiotics rationally based on drug sensitivity test.
