Objective To investigate the value of aortic dissection detection (ADD) risk score in the diagnosis of acute aortic syndromes (AAS). Methods Three hundred and forty-two patients with acute chest pain or back pain admitted to the Department of Emergency of the First Affiliated Hospital of Xiamen University from January 2013 to April 2016 were enrolled. At last, 71 patients were definitely diagnosed as AAS (AAS group), and 271 cases were diagnosed as non-AAS (non-AAS group). Furthermore, according to the ADD risk score, they were subdivided into two groups: low-risk (ADD score ≤ 1) and high risk (ADD score >1) subgroups. In the two groups, the ADD risk indexes and the proportions of patients with different risk scores were observed; the receiver operating characteristic curve (ROC curve) was drawn to evaluate the value of ADD risk score for diagnosing AAS. Results Compared with the non-AAS group, the proportions of patients in AAS group with indicators of high-risk pain characteristics, such as sudden pain and laceration-like pain were increased significantly [83.1% (59/71) vs. 31.0% (84/271), 29.6% (21/71) vs. 0 (0/271)];meanwhile, the proportions of patients with high-risk physical examination indicators, such as systolic blood pressure differences among the 4 extremities and the defect of local nerve function in AAS group were also significantly increased [23.9% (17/71) vs. 0 (0/271), 11.3% (8/71) vs. 0 (0/271), both P < 0.05]; the proportion of patients with high risk AAS score in AAS group was higher than that in the non-AAS group [66.2% (47/71) vs. 1.5% (4/271), P < 0.01]. The sensitivity of ADD score ≥ 1 for diagnosis of AAS and area under ROC curve (AUC) were all higher than those of ADD score ≥2 (sensitivity: 98.6% vs. 66.2%, AUC: 0.819 vs. 0.564), moreover, the specificity and the positive predictive value of ADD score ≥ 2 for diagnosis of AAS were higher than those of ADD score ≥ 1 (98.5% vs. 59.8%, 92.2% vs. 39.1%respectively). When the ADD risk score ≥ 1, its odds ratio (OR) = 104.0, 95% confidence interval (CI) was 0.761-0.877, P = 0.000; while ADD risk score ≥ 2, OR = 130.7, 95%CI was 0.516-0.612, P = 0.003. Conclusion It is shown that when ADD risk score (> 1) is used to diagnose AAS, it has relatively high sensitivity, when ADD score being high risk (> 1 score) is applied to diagnose AAS, its specificity is high, thus ADD risk score has important value in helping the early diagnosis of AAS.

OBJECTIVE To explore the mechanism of Baihe Dihuang decoction in the treatment of Alzheimer's disease(AD) based on network pharmacology, molecular docking and animal experiment. METHODS TCMSP were used to predict the active components and targets of Baihe Dihuang decoction and disease-related targets were collected from GeneCards, OMIM and DRUGBANK databases, respectively. Target protein interactions were analyzed with STRING database and biological function and pathway were analyzed with Metascape database. Lastly relevant results were analyzed with Cytoscape 3.8.0. AutoDock vina software was used for molecular docking to analyze the binding energy of the active components and key targets of Baihe Dihuang decoction. PyMOL software were used to visualize the optimal docking results. ICR male mice were randomly divided into control group, model group, Rolipram group, low, medium and high dose group of Baihe Dihuang decoction. After 14 days of administration, the neurobehavioral scores of mice in each group were collected, and the expression of related proteins in brain tissue was detected, ELISA and Western blotting were used to detect the expression of the key protein cAMP, PKA, p-CREB and BDNF. At last, the adverse reaction of Baihe Dihuang decoction was observed by vomiting experiment. RESULTS A total of 13 active components and 39 key targets were collected from network pharmacology. The docking results showed that the first 10 core targets all performed well and their effects were closely related to PRKACA. Compared with the control group, the model group mice's recognition rate of new objects and the spontaneous alternation reaction rate were significantly reduced, the escape latency was significantly prolonged, and the target quadrant stay time, the number of crossing platforms were significantly reduced; cAMP, PKA, p-CREB and BDNF in the hippocampus of mice was significantly decreased. Baihe Dihuang decoction could reverse the behavior of AD mice and the expression of cAMP, PKA, p-CREB and BDNF. In the vomiting experiment, the anesthesia recovery time of the Rolipram group was significantly prolonged, while that of the Baihe Dihuang decoction group was not significantly affected. CONCLUSION The mechanism of Baihe Dihuang decoction in the treatment of AD may be related to its influence on cAMP-PKA and regulation of cAMP-PKA-CREB-BDNF signal pathway, and the adverse reactions are milder than those of clopramide.