Objective To explore risk factors and construct a predictive model for multidrug-resistant gram-negative bacilli(MDR-GNB)infections in patients with cerebral hemorrhage.Methods A retrospective analysis was conducted on the clinical data of patients with cerebral hemorrhage complicated by gram-negative bacilli infections in the department of neurosurgery at the First Affiliated Hospital of Yangtze University from December 2020 to December 2023.Patients were divided into MDR-GNB group and non-MDR-GNB group based on the occurrence of MDR-GNB infections.General characteristics,underlying diseases,treatment methods,invasive procedures,and blood cell counts at admission were compared between the two groups.A multivariate Logistic regression analysis was used to determine the risk factors.Results A total of 308 patients with gram-negative bacilli infections were analyzed,including 143 in the MDR group and 165 in the non-MDR group.Theresults of the univariate analysis showed that impaired consciousness,use of meropenem,duration of antibiotics,duration of urinary catheter,duration of central venous catheter,duration of gastric tube,duration of tracheostomy,neutrophils at admission,and systemic immune-inflammation index(SII)at admission were significantly differentbetween the two groups(P<0.05).Theresults of the multivariate Logistic regression analysis showed that the use of meropenem,duration of antibiotics,higher neutrophils and SII levels at admission were the influencing factors for the MDR-GNB infections in patients with cerebral hemorrhage(P<0.05).Theresults of the receiver operating characteristic curve(ROC)analysis showed that the area under the curve(AUC)of the prediction model 1(constructed by neutrophils and duration of antibiotic use)and model 2(constructed by SII,meropenem use and duration of antibiotic use)for MDR-GNB infections were 0.678 and 0.690,respectively.Conclusions In addition to use of meropenem and a longer duration of antibiotic use,the neutrophil count and SII level at admission may both be associated with the development of MDR-GNB infections in patients with cerebral hemorrhage.

Objective To explore risk factors and construct a predictive model for multidrug-resistant gram-negative bacilli(MDR-GNB)infections in patients with cerebral hemorrhage.Methods A retrospective analysis was conducted on the clinical data of patients with cerebral hemorrhage complicated by gram-negative bacilli infections in the department of neurosurgery at the First Affiliated Hospital of Yangtze University from December 2020 to December 2023.Patients were divided into MDR-GNB group and non-MDR-GNB group based on the occurrence of MDR-GNB infections.General characteristics,underlying diseases,treatment methods,invasive procedures,and blood cell counts at admission were compared between the two groups.A multivariate Logistic regression analysis was used to determine the risk factors.Results A total of 308 patients with gram-negative bacilli infections were analyzed,including 143 in the MDR group and 165 in the non-MDR group.Theresults of the univariate analysis showed that impaired consciousness,use of meropenem,duration of antibiotics,duration of urinary catheter,duration of central venous catheter,duration of gastric tube,duration of tracheostomy,neutrophils at admission,and systemic immune-inflammation index(SII)at admission were significantly differentbetween the two groups(P<0.05).Theresults of the multivariate Logistic regression analysis showed that the use of meropenem,duration of antibiotics,higher neutrophils and SII levels at admission were the influencing factors for the MDR-GNB infections in patients with cerebral hemorrhage(P<0.05).Theresults of the receiver operating characteristic curve(ROC)analysis showed that the area under the curve(AUC)of the prediction model 1(constructed by neutrophils and duration of antibiotic use)and model 2(constructed by SII,meropenem use and duration of antibiotic use)for MDR-GNB infections were 0.678 and 0.690,respectively.Conclusions In addition to use of meropenem and a longer duration of antibiotic use,the neutrophil count and SII level at admission may both be associated with the development of MDR-GNB infections in patients with cerebral hemorrhage.

Objective To explore the features of white matter in DTI in patients with asymptomatic mild traumat?ic brain injury(mTBI)and their correlation with the cognitive features. Methods The DTI data and cognitive function data were obtained from 36 mTBI patients and 36 health controls. The fractional anisotropy (FA) pictures were ana?lyzed by voxel-based analysis. The FA value differences of the two groups were analyzed by using t test. The values of FA were extracted from the abnormal regions of mTBI patients. Correlation analyses were performed on the association of extracted FA value with P300 latency,P300 amplitude,the scores of Montreal Cognitive Assessment (MoCA) Scale, Hamilton Depression Scale, Hamilton Anxiey Scale,age and education(P>0.05). Results Compared with controls, mTBI patients had significant reduction of FA in the right medial frontal gyrus, bilateral postcentral gyrus, left precune?us, right posterior cingutate and right superior temporal gyrus(P<0.01,FDR correction). There were no significant correlations between extracted FA value and all clinical characteristics in mTBI patients. Conclusions Patients with mTBI have white matter microstructural damage and cognitive impairment.

Objective To explore the clinical characteristics and diagnostic methods of cerebral schistosomiasis.Methods The data of CT,MRI and the cerebral spine fluid(CSF) immunoassay in 42 patients with cerebral schistosomiasis were analyzed retrospectively.Results Forty cerebral schistosomiasis patients were diagnosed by the iconography and immunoassay,1 by the postoperative pathological examination and 1 by diagnostic treatment with praziquantel.Conclusions CT and MRI are of great value to determination of the position and nature of the cerebral schistosomiasis.The sensitivity and accuracy of MRI are better for indicating the main pathological changes of the disease than those of CT.The CSF immunoassay plays an important role in the differential diagnosis of cerebral schistosomiasis.