0.05). IH scores of 15-PGDH in chorion of placenta and fetal membranes in PL were 1.5?0.6,2.3?0.8, respectively, in TL were 2.6?0.8,3.0?0.7, respectively, and in control group were 4.4?1.1, 4.1?1.2,respectively. IH scores in PL and TL were obviously lower than those in control group(P

Objective: To improve the accuracy of forecasting hemorrhagic moya-moya disease by analyzing the difference in MR imaging between ischemic moya-moya disease and hemorrhagic moya-moya disease. Methods: Retrospective analysis was conducted of clinical and MR imaging data of 64 patients with moya-moya disease between 2009 and 2014 years in Hospital 94 of PLA. Results: Among the 64 patients aged 26 to 49 (average age was 38.2), 21 cases (32.8%) were diagnosed with ischemic moya-moya diseases, while 16 cases (76.2%) diagnosed with hemorrhagic moya-moya diseases, ischemic lesions were distributed mainly in frontal and parietal area, while hemorrhagic lesions were mainly distributed in the dorsal thalamus (28 cases, 65.1%), in the basal ganglia (9 cases, 20.9%), in the simple intraventricular (4cases, 9.3%) and in pure subarachnoid (2 cases, 4.6%). In the ischemic-typed moyamoya disease and hemorrhagic-typed moyamoya disease, cerebral bottom dorsal smoke abnormal vascular network, anterior choroidal artery and callosal artery thickening of the posterior cerebral artery, cortical pial vascular thickening, thickening of vascular branches of ophthalmic artery and external carotid artery thickening were respectively occurred in 15 cases of 28 branch (71.4%) and 38 cases of 62 branches (88.4%), 12 cases with 24 branches (57.1%) and 35 cases with 45 branches (81.4%), 8 cases with 16 branches (38.1%) and 30 cases with 58 branches (69.8%), 5 cases with 10 branches (23.8%) and 13 cases of the 24 branch (30.2%), 7 cases with 11 side branches (33.3%) and 27 patients with 54 branch (62.8%). Conclusion:The tortuous and dilated choroid artery and abnormal hyperplasia vascular network in skull base are the main causes of bleeding in moya-moya diseases.

Objective:To explore the characteristics of collateral circulation of moyamoya disease in CT angiography imaging.Methods: Data of 120 moyamoya disease patients diagnosed by the 94th hospital were collected. All the patients underwent CT angiography imaging and were divided into groups according to compensatory ways of collateral circulation. Lightspeed VCT was used in all patients to conduct CTA check, and assessed the clinical performance of 4 groups. Results: Group 1 consisted of 15 cases (12.5%) of ischemic type moyamoya disease. Group 2 had 53 cases (44.2%), 8 cases were ischemic type moyamoya disease, and 45 cases were beeding type group moyamoya disease. Group 3 had 38 cases (31.7%), who showed moyamoya vessel formation in the bottom of the brain, 7 of these cases were ischemic moyamoya disease, and 31 were bleeding type moyamoya disease. Group 4 had 14 cases (11.6%), all of whom belonged to bleeding type moyamoya disease, characterized by ophthalmic artery, temporal artery, middle meningeal artery, occipital artery communicating with terminal cortex intracranial vascular.Conclusion: Compensatory characteristics of collateral circulation vessels were closely correlated with the types of moyamoya disease.

Objective: To study the characteristics of CT imaging of adult ischemic type moyamoya disease, involving CT plain scan, CT perfusion imaging (CTP) and CT angiography (CTA). Methods:A retrospective analysis was made of the imaging data of 20 adult ischemic type moyamoya patients, including CT plain scan, CT perfusion imaging and CT angiography. CT vascular imaging features were graded I-VI with reference to Suzuki vascular grading. Results:Among the 20 patients with adult ischemic type moyamoya , ①CT plain scan: Old infarct lesions occurred in 13 cases(65%), 1 case suffered from acute cerebral infarction(5%), and negative patients totalled 6 (30%);②CT perfusion:5 cases(25%) were normal perfusion, 15 cases(75%) showed obviously low perfusion and local high perfusion;③CT angiography:patients of grade I to VI were respectively 1, 2, 5, 6, 4 and 2. Conclusion:Cerebral infarction lesions associated with adult ischemic type moyamoya disease are distributed mainly in the frontal and parietal cortex, or in watershed regions. Cerebral perfusion is characterized by normal or uneven blood perfusion, especially low perfusion. Vascular imaging manifests mostly degree III and IV, which belong to the middle phase of moyamoya disease.

Objective:To develop a risk prediction model for early cardiac arrest in emergency sepsis utilizing a machine learning algorithm to enhance the quality and efficiency of patient treatment.Methods:This study focused on patients with sepsis who received treatment at the emergency room of the First Medical Center of Chinese PLA General Hospital from January 1, 2020 to June 1, 2023. The basic clinical characteristics such as vital signs and laboratory results were collected. Patients who fulfilled the specified inclusion criteria were allocated randomly into a training group and a testing group with a ratio of 8:2. A CatBoost model was constructed using Python software, and the prediction efficiency of the model was assessed by calculating the area under the receiver operating characteristic curve (AUC). Furthermore, the performance of the model was compared to that of other widely employed clinical scores.Results:This study included a cohort of 2 131 patients diagnosed with sepsis, among whom 449 experienced cardiac arrest. The CatBoost model demonstrated an AUC of 0.760, surpassing other scores. Notably, the top 10 predictors in the model were identified as age, lactate, interleukin -6, oxygen saturation, albumin, N-terminal pro-B-type natriuretic peptide, potassium, sodium, creatinine, and platelets.Conclusions:The utilization of this machine learning algorithm-based prediction model offers a more precise basis for predicting cardiac arrest in emergency sepsis patients, thereby potentially improving the treatment efficacy for this disease.