Aortic dissection is a life-threatening cardiovascular disease with devastating complications and high mortality. It requires rapid and accurate diagnosis and a focus on prognosis. Many laboratory tests are routinely performed in patients with aortic dissection including D-dimer, brain natriuretic peptide, cardiac troponin I, C-reactive protein, and procalcitonin. D-dimer shows vital performance in the diagnosis of aortic dissection, and brain natriuretic peptide, cardiac troponin I, C-reactive protein, and procalcitonin exhibits important value in risk stratification and prognostic effect in aortic dissection patients. Our review summarized the clinical utility of these laboratory tests in patients with aortic dissection, aiming to provide advanced and comprehensive evidence for clinicians to better understand these laboratory tests and help their clinical practice.

OBJECTIVE To explore comprehensive management and potential issues associated with long-term prescriptions medications of psychiatry， in order to provide a reference for the comprehensive management of long-term prescriptions of psychiatry in psychiatric hospitals and other medical institutions’ pharmacies. METHODS Starting from the applicable principles for long-term prescriptions of psychiatry， this study introduced the standardized assessment and precautions before issuing long-term prescriptions， the formulation and adjustment of the drug list， as well as the rational management of the long-term prescriptions. It also analyzed potential issues that may arise in the comprehensive management of long-term prescription medications and proposed corresponding countermeasures and suggestions. RESULTS & CONCLUSIONS Prior to initiating long-term prescriptions， a standardized assessment should be conducted on patients from the aspects of their psychiatric condition and long-term potential risk factors， pharmacological treatment plans and other non-pharmacological therapies， physical illnesses. Additionally， healthcare providers should fulfill their obligation to inform patients or their family members. The comprehensive management of long-term prescription medications should be jointly established and improved by multiple departments， and the formulation of drug catalogs should avoid including drugs with potential social harm or medication risks while complying with policy requirements. Furthermore， measures such as adding special identifiers to long-term prescriptions， providing patients with reminders about （No.YGLX202537） prescription expiration， or offering online consultations can also effectively enhance the rationality of medication use under long-term prescriptions. Currently， the implementation of long-term prescriptions in psychiatry remains challenged by inconsistencies in prescription duration， incomplete coverage of diagnostic categories， poor patient adherence， and the risk of deviation in clinical assessments. In this regard， measures such as collaborating with multiple departments to strengthen long-term prescription information management， providing matching pharmaceutical services， ensuring the quality and rationality of long-term prescription implementation， and using modern methods to screen high-risk patients can be taken to improve patient medication compliance and safety.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To investigate the correlation of serum angiopoietin-1(Ang-1),angiopoietin-2(Ang-2),and Ang-1/Ang-2 ratio with HBA DNA and alanine aminotransferase(ALT)in patients with chronic hepatitis B(CHB)or liver cirrhosis.Methods Clinical data and serum specimens were collected from 99 patients with CHB and 59 patients with liver cirrhosis who were admitted to Beijing YouAn Hospital,Capital Medical University,from March 2018 to October 2019,and 46 individuals who underwent physical examination were enrolled as control group.PCR was used to measure serum HBV DNA level,and ELISA was used to measure the serum levels of Ang-1 and Ang-2.The serum levels of Ang-1 and Ang-2 and Ang-1/Ang-2 ratio were compared between groups.The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups,and the Bonferroni method was used for further comparison between two groups;the Spearman correlation analysis was used to investigate the correlation of Ang-1,Ang-2,and Ang-1/Ang-2 ratio with HBV DNA and ALT.Results Compared with the control group,the CHB group and the liver cirrhosis group had a significant reduction in the level of Ang-1(479.0 pg/mL and 208.4 pg/mL vs 671.0 pg/mL,both P＜0.05),and compared with the CHB group,the liver cirrhosis group had a significant reduction in the level of Ang-1(P＜0.001).Compared with the control group,the CHB group and the liver cirrhosis group had a significant increase in the level of Ang-2(286.1 pg/mL and 438.4 pg/mL vs 198.0 pg/mL,both P＜0.001),and compared with the CHB group,the liver cirrhosis group had a significant increase in the level of Ang-2(P＜0.001).Compared with the control group,the CHB group and the liver cirrhosis group had a significant reduction in Ang-1/Ang-2 ratio(1.6 and 0.5 vs 3.4,both P＜0.001),and compared with the CHB group,the liver cirrhosis group had a significant reduction in Ang-1/Ang-2 ratio(P＜0.001).The Spearman correlation analysis showed that in the CHB group,Ang-1 was negatively correlated with HBV DNA and ALT(r=-0.400 and-0.394,both P＜0.001),Ang-2 was positively correlated with HBV DNA and ALT(r=0.365 and 0.351,both P＜0.001),and Ang-1/Ang-2 ratio was negatively correlated with HBV DNA and ALT(r=-0.463 and-0.473,both P＜0.001);in the liver cirrhosis group,Ang-1,Ang-2,and Ang-1/Ang-2 ratio had no correlation with HBV DNA or ALT(all P＞0.05).Conclusion There are significant changes in the serum levels of Ang-1 and Ang-2 and Ang-1/Ang-2 ratio in patients with CHB or liver cirrhosis,and Ang-1,Ang-2,and Ang-1/Ang-2 ratio reflects the degree of liver injury in patients with CHB to a certain extent.

ObjectiveTo explore the efficacy and safety of Lianhua Qingwen preparation in the treatment of community-acquired pneumonia （CAP）. MethodThe PubMed，Embase，Cochrane Collaboration，CNKI，VIP，and Wanfang Medical Network database （CBM） were systematically searched for all the randomized controlled clinical trials （RCTS） of Lianhua Qingwen Preparation in the treatment of CAP from the establishment of the databases to February 2023. The inclusion criteria were established， and the search results were screened. The risk assessment tool （ROB） scale was used to evaluate the methodological quality of the final included studies， and the R software was used for data integration and meta-analysis. ResultA total of 30 pieces of literature were included，involving 2 800 patients. The combined use of Lianhua Qingwen preparation on the basis of antibiotics and other conventional treatments showed that Lianhua Qingwen preparation could improve the cure rate ［relative risk（RR）=1.32，95% confidence interval（95% CI）［1.23，1.42］，P<0.000 1）］ and shorten the time of fever remission ［Mean difference（MD）=-1.45，95% CI ［-1.93，-0.97］，P<0.000 1］，and the duration of fever reduction was divided into general population and special population subgroups. The results showed that Lianhua Qingwan preparation could shorten the duration of fever reduction （general population MD=-1.51，95%CI ［-2.07，-0.94］，P<0.000 1， special population MD=-1.22，95% CI ［-2.16，-0.29］，P=0.010 6）and does not increase the incidence of adverse reactions（RR=0.85，95%CI ［0.62，1.15］，P<0.000 1）. After nine pieces of virtual literature with negative results were supplemented by the shear compensation method，the cure rate of CAP by Lianhua Qingwan preparation was still improved （RR=1.20，95%CI ［1.13，1.29］，P<0.000 1）. ConclusionThe application of Lianhua Qingwen preparation on the basis of antibiotics in the treatment of CAP can improve the cure rate and shorten the time of fever reduction.

The treatment of acute Stanford type A aortic dissection has always been extremely challenging. Organ malperfusion syndrome is a common severe complication of acute aortic dissection, which can cause organ ischemia and internal environment disorder. Malperfusion increases early mortality, and impacts the long-term prognosis. In recent years, many scholars have done some studies on aortic dissection complicated with malperfusion. They explored the pathogenesis, proposed new classification, and innovated new treatment strategies. However, at present, the treatment strategies of acute Stanford type A aortic dissection complicated with organ malperfusion are different at different centers and consensus on its treatment is still lacking. Therefore, this review summarized the pathogenesis, classification, treatment strategy, and prognosis of acute Stanford type A aortic dissection complicated with malperfusion.

Objective:To verify the therapeutic effect of Astragalus on mice with acute respiratory distress syndrome with sepsis and to explore its mechanism.Methods:Seventy SPF-grade C57 mice were divided into astragalus group ( n=30), control group ( n=30) and sham surgery group ( n=10) according to random number table method, and CLP surgery was performed on Astragalus group and control group to induce sepsis acute respiratory distress syndrome, and CLP sham surgery was performed in the sham surgery group. After surgery, the astragalus group was treated with astragalus decoction for gastric gavage, the sham surgery group and the control group were gavaged with normal saline, and the mice were sacrificed 12 hours and 24 hours after the operation, and the lung histopathology was observed, the ratio of dry to wet weight of lung tissue, the protein concentration of alveolar lavage fluid was determined, the alveolar lavage fluid and serum were analyzed proteomics, and the differential proteins were enriched and analyzed. Results:Astragalus reduced the total protein concentration of BALF in ARDS mice, reduced the dry-to-wet ratio of ARDS mice, and HE staining of lung tissues showed that Astragalus decoction improved acute alveolar injury in ARDS mice. Proteomic analysis of serum samples and BALF samples showed that there were certain differential proteins between astragalus group and control group, and enrichment analysis showed that it was mainly enriched in the pathway of inflammatory factors, confirming that astragalus decoction may play a role by inhibiting the activation and release of inflammatory factors.Conclusions:Astragalus decoction can effectively reduce the inflammatory exudation of lung tissue in acute respiratory distress syndrome of sepsis, and its mechanism of action may be to inhibit the expression of inflammatory factors.

Objective:To compare the test methods for aluminum content determination in vaccines by inductively coupled plasma-mass spectrometry(ICP-MS),inductively coupled plasma optical emission spectrometry(ICP-OES)and titration of the Chinese Pharmacopoeia 2020.Methods:The pre-treatment procedures,linearity,repeatability,accuracy,quantification limit,detection limit and sample determination results of the three methods were compared and analyzed by methodological verification and sample testing.Results:There was a good linear relationship of ICP-OES in the concentration range of 1-20μg·mL-1 aluminum content,r=0.9999.Aluminum content in 6 types of vaccines was in the range of 99％-104.6％,and RSDs were lower than 3％(n=9).There was a good linear relationship of ICP-MS in the concentration range of 2.5-80ng·mL-1(r=0.999).Aluminum content in 6 types of vaccines were in the range of 99.4％-108.9％,and RSDs were lower than 8％(n=9).There was no significant difference between the three methods in the determination of aluminum content in vaccines,and RSDs were lower than 10％.Conclusion:Both ICP-MS and ICP-OES methods can be used for the determination of alu-minum content in aluminum adjuvant vaccine.Both detection methods are simple,fast and accurate.ICP-OES has lower instrument costs and is easier to promote in the laboratory.

ObjectiveTo explore the effect of Babaodan （BBD） on the NOD-like receptor pyrin domain containing 3/cysteine aspartate-specific protease-3 （NLRP3/Caspase-1） pathway proteins in mice with acetaminophen （APAP）-induced acute liver injury. MethodC57BL/6 mice were randomly grouped， and BBD （75， 150， 300 mg·kg^-1， ig） was administered twice a day for three days. After 2 hours of the last administration， the mice were treated with APAP （400 mg·kg^-1， ip）， and the eyeballs were removed to collect blood after 14 hours. Then they were sacrificed by cervical dislocation for sample collection. Hematoxylin-eosin （HE） staining was used to observe the morphological changes of liver tissue cells， and biochemical methods were used to detect the activities of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， superoxide dismutase （SOD）， malondialdehyde （MDA） and myeloperoxidase （MPO） in serum of mice in each group. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was performed to determine the mRNA expression of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β） and IL-6， and Western blot was performed to determine the protein expression of cyclooxygenase-2 （COX-2）， inducible nitric oxide synthase （iNOS）， NLRP3， Caspase-1 and IL-18 in the liver of mice. ResultCompared with the conditions in normal group， the hepatic lobule structure of mice in the model group was partially destroyed， and the hepatic sinusoids were dilated. And the expression levels of ALT and AST in serum， the protein levels of NLRP3， Caspase-1， iNOS， IL-18 and COX-2 and the mRNA levels of IL-1β， IL-6 and TNF-α were increased （P<0.05， P<0.01）. Compared with the model group， the administration groups had improvement in liver cell rupture and hepatic sinusoidal compression， and a dose-dependent decrease in the levels of ALT and AST in serum as well as the protein levels of NLRP3， Caspase-1， iNOS， IL-18 and COX-2 and the the mRNA levels of IL-1β， IL-6 and TNF-α in liver tissue （P<0.05， P<0.01）. ConclusionBBD can reduce APAP-induced acute liver injury in mice. The mechanism may be related to anti-oxidative stress， inhibition of NLRP3/Caspase-1 pathway， and decreased expression levels of IL-1β， IL-18， TNF-α and IL-6.