Objective To investigate the influence of modified Shashen Maidong Decoction combined with Camrelizumab immunotherapy plus chemotherapy on the efficacy,survival status and serum cytokeratin 19 fragment(CYFRA21-1)and neuron-specific enolase(NSE)levels in patients with advanced non-small cell lung cancer(NSCLC).Methods Forty patients with advanced NSCLC of lung-stomach yin deficiency with intense heat-toxin type were randomly divided into a control group and a study group,with 20 patients in each group.The patients in the control group were given Camrelizumab immunotherapy plus chemotherapy,and the patients in the study group were given modified Shashen Maidong Decoction combined with Camrelizumab immunotherapy plus chemotherapy,with 21 days as a course of treatment and for a total of 4 courses of treatment.The changes of serum NSE and CYFRA21-1 levels in the two groups before and after treatment were observed,and the clinical efficacy,survival status and the incidence of toxic and side effects were compared between the two groups.Results(1)After 4 courses of treatment,the total effective rate of the study group was 70.00%(14/20),which was significantly higher than that of the control group(9/20,45.00%),but the intergroup comparison(tested by chi-square test)showed that the difference was not statistically significant(P＞0.05).(2)After 2 years of follow-up,the overall survival(OS),time to progression(TTP),and progression-free survival(PFS)of the patients in the study group were significantly prolonged compared with those in the control group(P＜0.01).(3)After treatment,the serum NSE and CYFRA21-1 levels of the patients in the two groups were decreased compared with those before treatment(P＜0.05),and the decrease of serum NSE and CYFRA21-1 levels in the study group was significantly superior to that in the control group(P＜0.01).(4)The incidence of toxic and side effects in the study group was 25.00%(5/20),which was significantly lower than that of 65.00%(13/20)in the control group,and the intergroup comparison showed that the difference was statistically significant(P＜0.05).Conclusion Modified Shashen Maidong Decoction combined with Camrelizumab immunotherapy plus chemotherapy has satisfactory therapeutic effect on patients with advanced NSCLC,which can reduce the toxic and side effects of chemotherapy,lower the level of serum tumor markers,and prolong the survival period and time to progression(TTP)of the patients.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To develop a prediction tool for post-endoscopic retrograde cholangiopancreatography(ER-CP)early biliary tract infection(PEEBI)in patients with choledocholithiasis,and assist clinical decision-making be-fore ERCP and early personalized intervention after ERCP.Methods An observational bidirectional cohort study was adopted to select inpatients with choledocholithiasis who underwent ERCP in a hospital.Directed acyclic graph(DAGs)and the least absolute shrinkage and selection operator(LASSO)were used to predict PEEBI based on lo-gistic regression,and the models were compared and validated internally and externally.Results From January 1,2020 to September 30,2023,a total of 2 121 patients with choledocholithiasis underwent ERCP were enrolled,of whom 77(3.6％)developed PEEBI,mostly in the first 2 days after surgery(66.2％).The major influencing fac-tors for PEEBI were non-iatrogenic patient-related factors,namely diabetes mellitus(OR=2.43,95％CI:1.14-4.85),bile duct malignancy(OR=3.95,95％CI:1.74-8.31)and duodenal papillary diverticulum(OR=4.39,95％CI:1.86-9.52).Compared with the LASSO model,the DAGs model showed higher ability(3.0％)in com-prehensive discrimination(P=0.007),as well as good differentiation performance(D=0.133,P=0.894)and cal-ibration performance(x2=5.499,P=0.703)in external validation.Conclusion The DAGs model constructed in this study has good predictive performance.With the help of this tool,targeted early preventive measures in clinical practice can be taken to reduce the occurrence of PEEBI.

Objectives:To compare the diagnostic efficacy of non-ST-segment elevation myocardial infarction (NSTEMI) and the predictive value for major adverse cardiovascular events (MACE) of the 0/3-hour algorithm for high-sensitivity cardiac troponin (hs-cTn) recommended by the 2015 European Society of Cardiology (ESC) guidelines for the management of non-ST-segment elevation acute coronary syndrome (NSTE-ACS) and the 2021 "Chinese Expert Consensus on Laboratory Testing and Clinical Application of Cardiac Troponin" in suspected acute coronary syndrome (ACS) patients in the Chinese population. Methods:This is a multicenter prospective observational study,including 1527 patients with suspected ACS from three clinical centers from January 2017 to September 2020.Plasma hs-cTnI levels were measured using the ARCHITECT assay at the time of presentation and 3 hours later in patients with suspected ACS (test determination).Clinical judgment (independent clinical judgment by cardiac experts,independent of the test results) was used as the gold standard to compare the sensitivity,specificity,and consistency of the two diagnostic algorithms,and to analyze their predictive value for MACE at 30 days and 180 days.MACE in this study was defined as a composite event of cardiovascular death,myocardial infarction,and unplanned coronary revascularization. Results:According to clinical judgment,there were 400 patients with NSTEMI and 1127 patients without NSTEMI.The 0/3-hour algorithm recommended by the 2021 Chinese Expert Consensus showed higher sensitivity in diagnosing NSTEMI than the 2015 ESC guidelines (91.50％[95％ CI:88.32％-94.04％]vs.87.75％[95％ CI:84.13％-90.80％]),but slightly lower specificity (93.88％[95％ CI:92.32％-95.21％]vs.95.56％[95％ CI:94.19％-96.69％]),with both differences being statistically significant (both P<0.001).In the follow-up at 30 days and 180 days,the incidence of MACE in patients diagnosed with NSTEMI by both algorithms was higher than in those without NSTEMI (P<0.001).The incidence of MACE at 30 days and 180 days for the group excluded from the diagnosis of NSTEMI by 2015 ESC guidelines was 0.19％ and 1.120％,respectively,and for the NSTEMI group was 2.89％ and 3.68％,respectively;for the group excluded from NSTEMI by the 2021 Chinese Expert Consensus,the incidence was 0.096％ and 0.770％,respectively,and for the NSTEMI group was 2.91％ and 4.36％,respectively.Cox analysis showed that the HR ratio for MACE at 180 days in the NSTEMI group diagnosed by both algorithms was 3.418 and 5.892,respectively,significantly higher than the group excluded from NSTEMI. Conclusions:The 0/3-hour algorithm recommended by the 2021 Chinese Expert Consensus has superior diagnostic sensitivity compared to the 2015 ESC NSTE-ACS guidelines,at the cost of slightly lower specificity.Both algorithms can effectively predict MACE within 180 days,but based on the data from this study,the algorithm recommended by the 2021 Chinese Expert Consensus is more sensitive in predicting the risk of MACE,and patients excluded from the diagnosis of NSTEMI by this method have a lower incidence of MACE,suggesting that its application in clinical practice may be more helpful in terms of long-term safe management of patients.

Glioblastoma (GBM) is the most common and aggressive malignant brain tumor in adults and is poorly controlled. Previous studies have shown that both macrophages and angiogenesis play significant roles in GBM progression, and co-targeting of CSF1R and VEGFR is likely to be an effective strategy for GBM treatment. Therefore, this study developed a novel and selective inhibitor of CSF1R and VEGFR, SYHA1813, possessing potent antitumor activity against GBM. SYHA1813 inhibited VEGFR and CSF1R kinase activities with high potency and selectivity and thus blocked the cell viability of HUVECs and macrophages and exhibited anti-angiogenetic effects both in vitro and in vivo. SYHA1813 also displayed potent in vivo antitumor activity against GBM in immune-competent and immune-deficient mouse models, including temozolomide (TMZ) insensitive tumors. Notably, SYHA1813 could penetrate the blood-brain barrier (BBB) and prolong the survival time of mice bearing intracranial GBM xenografts. Moreover, SYHA1813 treatment resulted in a synergistic antitumor efficacy in combination with the PD-1 antibody. As a clinical proof of concept, SYHA1813 achieved confirmed responses in patients with recurrent GBM in an ongoing first-in-human phase I trial. The data of this study support the rationale for an ongoing phase I clinical study (ChiCTR2100045380).

Objective To describe the research hotspots and authors'cooperative relationships in the field of pharmacoepidemiology mentioned in the 2022 International Conference on Pharmacoepidemiology and Therapeutic Risk Management(ICPE),and compare with those result of ICPE 2021.Methods Taking the 2021-2022 ICPE abstracts as the data source,we used Python to extract literature information.R software networkD3 package was used to draw network diagrams of cooperative relationships among authors and organizations.Term frequency-inverse document frequency technology in tidytext package was used to conduct weighted statistics on the frequency of tokens to identify hotspot diseases,drugs,databases,etc.Results 2 086 ICPE abstracts were included.Between 2021 and 2022,the number of abstracts,authors,and organizations increased by 58.8%,42.3%,and 24.9%respectively.In 2022,there were a total of 387 core authors(including 14 from China,all from Hong Kong and Taiwan district),forming 26 close cooperation groups(including 2 Chinese groups).161 core organizations(including 8 in China),constituted 18 close cooperation groups(including 1 Chinese-foreign group and 1 Chinese domestic group).The topic of COVID-19,type 2 diabetes,and rheumatoid arthritis have always been deeply discussed,meanwhile,the discussion popularity of breast cancer,Parkinson's disease and dementia have increased significantly.Opioids,sodium-glucose transporters 2 inhibitors,and antipsychotics have always been popular drugs,and the popularity of antidepressants,COVID-19 vaccines and antihypertensive drugs have increased markedly.The hotspot databases included Clinical Practice Research Datalink,IBM MarketScan Commercial Claims and Encounters,and Food and Drug Administration Adverse Event Reporting System,etc.Conclusion From 2021 to 2022,the scale of ICPE has expanded,and academic cooperation has become more extensive and in-depth.However,there is still a big gap between the participation and cooperation scale of scholars from Chinese mainland and foreign countries.Breast cancer,Parkinson's disease,dementia,antidepressants,and COVID-19 vaccines are new hot topics at ICPE 2022.The research hotspots and cooperation networks displayed in this article have certain reference values for Chinese pharmacoepidemiologists in selecting future research topics and partners.

Objective To explore the risk factors for intracranial infection in patients after neurosurgery,con-struct and validate a Nomogram prediction model.Methods Data of 978 patients who underwent neurosurgery in a hospital in Nanjing from January 1,2019 to December 31,2022 were retrospectively analyzed.Independent risk fac-tors were screened through logistic univariate and multivariate analyses.Modeling variables were screened through Lasso regression.A Nomogram model was constructed and internally validated by logistic regression.Effectiveness of the model was evaluated with receiver operating characteristic(ROC)curve,calibration curve and decision curve.Results Among 978 patients underwent neurosurgery,293 had postoperative intracranial infection,with an inci-dence of healthcare-associated infection of 29.96％.There was no significant difference in age,gender,proportion of coronary heart disease,cerebral infarction,diabetes and hypertension between the infected group and the non-in-fected group(all P＞0.05).Multivariate logistic analysis showed that postoperative intracranial hypertension,fe-ver,increased neutrophil percentage in blood routine examination,turbid cerebrospinal fluid,positive Pan's test,decreased glucose concentration,abnormal ratio of cerebrospinal fluid/serum glucose,positive microbial culture,absence of indwelling external ventricular drainage tubes,presence of indwelling lumbar cistern drainage tubes,use of immunosuppressive agents,and long duration of surgery were independent risk factors for postoperative intracra-nial infection in patients who underwent neurosurgery(all P＜0.05).Fifteen variables were screened out through Lasso regression.Fourteen variables were finally included for modeling after collinear screening,missing data impu-tation(random forest method)and checking pairwise interaction items.A Nomogram prediction model was con-structed,with the area under ROC curve,sensitivity,specificity,and accuracy of 0.885,0.578,0.896,and 0.704,respectively.Internal validation of the model was conducted.The modeling and validation groups presented similar effects.The calibration curve and decision curve also indicated that the model had good predictive efficacy.Conclusion The constructed Nomogram prediction model for postoperative intracranial infection after neurosurgery is scientific,and the prediction indicators are easy to obtain.The model presents with high stability,reliability,and application value,thus can provide reference for the assessment of postoperative intracranial infection after neuro-surgery.

This study evaluated the scientific nature and effectiveness of iterative optimization of prevention and control measures for local outbreaks caused by the BA.2 and BA.5.2 COVID-19 strains in Fujian Province in 2022,to provide a scientif-ic basis for responding to future new or recurrent respiratory infectious diseases.According to the theory of infectious disease dynamics,relevant information regarding the local epidemic situation caused by the BA.2 sub-type Omicron virus strain in March 2022 and BA.5.2 sub-type Omicron virus strain in October 2022 in Fujian Province was collected.The susceptible exposed infectious removed(SEIAR)model of COVID-19 infection with a latent period and asymptomatic infected persons was used to analyze the transmission dynam-ics of two local epidemic situations,and evaluate the preven-tion and control effects.The incubation period of the BA.2 epidemic was 3 days(1～9 days),the intergenerational inter-val was 3 days(1～5 days),and the initial Rt was 3.0(95％CI:2.7～3.3).The incubation period of the BA.5.2 epidemic was 2 days(1～6 days),the intergenerational interval was 1 day(0～2 days),and the initial R,was 1.9(95％CI:1.7～2.1).The fittingresults for the BA.2 and BA.5.2 epidemics were good,and no statistical difference was observed between the predic-ted and actual numbers of cases(x2BA.2=31.53,x2BA.5.2=27.88,P＞0.05).If an emergency response had not been initiated,the BA.2 epidemic would have continued to spread andpeak on April 7th,with an estimated 638 035 cases.The BA.5.2 epidemic would have rapidly spread,reaching a peak on November 14th,with an estimated 685 940 cases.If one incubation period were detected early,the scale of the BA.2 epidemic would have decreased by 25.73％;if two incubation periods were detected early,the scale would have decreased by 79.56％,and if one incubation period had been delayed,the scale would have expanded by 13.72％.If one incubation period had been detected early in the BA.5.2 epidemic,the scale would have decreased by 35.04％;if two incubation periods had been detected early,the scale would have decreased by 92.47％;and if one incubation period had been delayed,the scale would have increased by 19.75％.The guiding ideology,and the prevention and control measures for handling two local epidemics were optimized and iterated.Our study indicated that implementing the"four early"measures ef-fectively decreased the scale of the epidemic,and earlier detection was associated with more significant control effects.This study provides valuable information for the prevention and control of new or recurrent respiratory infectious diseases.

BACKGROUND: Abnormal type I collagen (COL1) expression is associated with the development of many cardiovascular diseases. The TGF-beta/Smad signaling pathway and circRNAs have been shown to regulate COL1 gene expression, but the underlying molecular mechanisms are still not fully understood. METHODS: Gain- and loss-of-function experiments were prformed to study the effect of circZBTB46 on the expression of alpha 2 chain of type I collagen (COL1A2). Co-immunoprecipitation assay was performed to observe the interaction between two proteins. RNA immunoprecipitation assay and biotin pull-down assay were performed to observe the interaction of circZBTB46 with PDLIM5. RESULTS: In this study, we investigated the role of circZBTB46 in regulating COL1A2 expression in human vascular smooth muscle cells (VSMCs). We found that circZBTB46 is expressed in VSMCs and that TGF-beta inhibits circZBTB46 formation by downregulating KLF4 expression through activation of the Smad signaling pathway. CircZBTB46 inhibits the expression of COL1A2 induced by TGF-beta. Mechanistically, circZBTB46 mediates the interaction between Smad2 and PDLIM5, resulting in the inhibition of Smad signaling and the subsequent downregulation of COL1A2 expression. Furthermore, we found that the expression of TGF-beta and COL1A2 is decreased, while circZBTB46 expression is increased in human abdominal aortic aneurysm tissues, indicating that circZBTB46-mediated regulation of TGF-beta/Smad signaling and COL1A2 synthesis in VSMCs plays a crucial role in vascular homeostasis and aneurysm development. CONCLUSIONS CircZBTB46 was identified as a novel inhibitor of COL1 synthesis in VSMCs, highlighting the importance of circZBTB46 and PDLIM5 in regulating TGF-beta/Smad signaling and COL1A2 expression.