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| Predictive value of neutrophil/lymphocyte ratio and immediate blood glucose level on short-term prognosis in patients with acute cerebral hemorrhage |
| LIU Jun |
| Department of Neurology, Panjin Liaohe Oilfield Gem Flower Hospital, Liaoning Province, Panjin 124009, China |
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Abstract Objective To explore the predictive value of neutrophillymphocyte (NLR) and admission blood glucose (ABG) in the short-term poor prognosis of patients with acute cerebral hemorrhage. Methods A total of 193 patients with acute cerebral hemorrhage admitted to Panjin Liaohe Oilfield Gem Flower Hospital, Liaonig Province from January 2017 to December 2018 were divided into two groups: the poor prevention group (87 cases) and the good prognosis group (106 cases) according to the 90 day modified Rankin scale. The clinical characteristics, biochemical test results and imaging data of the two groups were compared. The influencing factors of short-term prognosis of acute cerebral hemorrhage was analyzed by logistic regression. ROC curve was used to analyze the predictive value of NLR and ABG for short-term poor prognosis of patients with acute cerebral hemorrhage. Results There were significant differences in age, drinking history, diabetes history, the national institutes of health stroke scale score between the two groups (P < 0.05). The proportion of neutrophil count, white blood cell count, ABG, NLR, hematoma volume and the proportion of haemorrhage into ventricle in the poor prognosis group were higher than those in the good prognosis group, and the lymphocyte count was lower than that in the good prognosis group (P < 0.05). Logistic analysis showed that ABG (OR = 2.569, 95%CI [1.569, 5.574], P = 0.002) and NLR (OR = 1.549, 95%CI [1.103, 3.265], P = 0.005) were the high risk factors of poor prognosis in patients with acute cerebral hemorrhage. The area under the curve of ABG in the diagnosis of short-term poor prognosis of acute cerebral hemorrhage was 0.867, 95%CI (0.819, 0.915), the cutoff value was 5.95 mol/L, the sensitivity and specificity were 0.805 and 0.725. The area under the curve under ROC curve of NLR in the diagnosis of short-term poor prognosis of acute cerebral hemorrhage was 0.824, 95%CI (0.655, 0.794), the cutoff value was 2.76, the sensitivity and specificity were 0.897 and 0.453. Conclusion The rising ABG and NLR levels are the risk factors of poor short-term prognosis in patients with acute cerebral hemorrhage. The short-term prognosis of patients can be predicted by detecting the two indexes.
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