Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture. Methods: A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture. Results: The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05). Conclusion The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.

Objective To investigate the levels of gross α and gross β activities in different water types within a 40-kilometer radius around the Zhangzhou Nuclear Power Plant prior to its operation. Methods In 2018, drinking water samples were collected from the area surrounding the nuclear power plant during both the wet and dry seasons, including source water, treated water, tap water, and well water. The gross α and gross β activity concentrations were measured using a low-background α/β counter, followed by statistical analysis. Results A total of 80 water samples from different sources around the Zhangzhou Nuclear Power Plant were collected. The average gross α and gross β activity concentrations during the wet season were (0.110 ± 0.036) Bq/L and (0.643 ± 0.028) Bq/L, respectively, while those during the dry season were (0.124 ± 0.032) Bq/L and (0.624 ± 0.026) Bq/L, respectively. There were no significant differences in the gross α and gross β activity concentrations between the wet and dry seasons for the overall sample set (P > 0.05). However, there were statistically significant differences in the gross α and gross β activity concentrations between the wet and dry seasons for source water and well water (Z_wet = −2.005, −2.123; Z_dry = −1.943, −3.090; P < 0.05). Conclusion The radioactivity levels in different water types within various ranges around the Zhangzhou Nuclear Power Plant before its operation were determined. The measured activity concentrations were at the same level as those from previous investigations in other regions of Fujian Province.

In recent years， diabetic nephropathy （DN） has become an increasingly serious health challenge worldwide， and its morbidity and mortality rates are rapidly increasing. The patients suffering from the disease tend to be younger. DN is not only accompanied by a wide range of renal pathological changes， such as renal hypertrophy， inflammatory cell infiltration， expansion of the tethered membrane stroma， and thickening of the basement membrane but is also the main cause of end-stage renal disease and death in patients with diabetes mellitus. Therefore， it is particularly urgent to explore new strategies for the prevention and treatment of DN. The pathogenesis of DN is intricate and complex， with current research focusing on multifactorial interactions between metabolic and hemodynamic factors， such as hypoxia， inflammatory responses， and fibrotic processes. Notably， hypoxia plays a pivotal role in the initiation and progression of DN. Hypoxia-inducible factor （HIF-1α）， as a key regulatory protein commonly found in hypoxic cells， has a profound impact on various physiological and pathological processes， such as cell metabolism， vascular neogenesis， oxidative stress， and apoptosis. With its unique theoretical system and therapeutic approach， traditional Chinese medicine has demonstrated significant advantages in coping with hypoxic diseases and can slow down the progression of DN by regulating the expression level of HIF-1α and its downstream signaling molecules and exerting anti-inflammatory， antioxidant， and antifibrotic effects， which has positive clinical significance for drug development and early prevention and treatment of DN.

Objective To compare the myocardial protective effects of Del nido cardioplegia(DC)and microplegia(MP)in the isolated coronary artery bypass grafting(CABG)underwent the cardiopulmonary by-pass(CPB),and evaluate the safety and efficacy of DC in isolated CABG.Methods A retrospective analysis was performed on 128 patients with isolated CABG by the same surgical team form January 2018 to April 2021 at the Second Affiliated Hospital of Army Medical University.The patients were divided into MP group(n=57)and DC group(n=71)according to the use of intraoperative cardioplegia during the surgery.Preoper-ative baseline data,blood gas at 4 time points of CPB 20 min(T1),CPB 60 min(T2),end of CPB(T3),and re-turning of ICU(T4),as well as perioperative data,major postoperative complications,mortality,medium and long-terms survival rate were collected.Results Compared with preoperative baseline data,the lactate(Lac)level in the DC group was lower;During the operation,the DC group had fewer times of cardiac arrest fluid perfusion and a larger amount volume of cardioplegia(P＜0.001);In CPB,there was a higher fluid balance and a higher rate of spontaneous rebeating(88.7％vs.52.6％),differences were statistically significant(P＜0.05).Blood gas at all 4 time points showed that the DC group had lower blood glucose level(P＜0.05).The cardiac troponin Ⅰ(cTnⅠ)concentration 24 h postoperative was higher(P＜0.05),and the ICU duration was shorter(P＜0.05).Correlation analysis indicated that there was no correlation between cTnⅠ concentration 24 h postoperative and aortic cross clamping time(ACCT)in both groups(P＞0.05).There was a positive correlation between the concentration of cTnⅠ 24 h postoperative and the numbers of cardioplegia deliveries(r=0.331,P=0.005)in DC group,but there was no correlation in MP group(r=0.023,P=0.866).There was no significant difference in perioperative period,postoperative complications and mortality between the two group(P＞0.05).Kaplan-Meier analysis showed that there was no statistically significant difference in the 5 years survival rate between two groups(P=0.966).Conclusion Compared with MP,DC provides a comparable myocardial protection effect in the isolated CABG,with higher security,without affecting the short and medium-term clinical outcomes in patients.

Objective To evaluate the diagnostic value of preoperative positron emission computed-tomography(PET-CT)examination for lymph node metastasis in early non-small cell lung cancer(NSCLC).Methods A total of 232 early-stage NSCLC patients who underwent preoperative PET-CT examination and radical surgery for lung cancer in the hospital from January 2019 to April 2023 were selected.Clinical data,PET-CT examination results,and lymph node dissection pathology were collected to calculate the sensitivity,specificity,accuracy,positive predictive value and negative predictive value of PET-CT diagnosis of NSCLC lymph node metastasis.The maximum standard uptake value(SUVmax)of the primary lesion and the predic-tive value of lymph node SUVmax for early NSCLC lymph node metastasis were evaluated by the receiver op-erating characteristic(ROC)curve.Results The accuracy of PET-CT examination in the diagnosis of NSCLC was 95.69％,the accuracy of lymph node metastasis diagnosis was 85.78％,the sensitivity was 35.56％,the specificity was 97.86％,the positive predictive value was 80.00％,and the negative predictive value was 86.32％.There was a statistically significant difference in the detection rate of PET-CT examination and path-ological results among pulmonary nodules of different natures and sizes(P＜0.01).For predicting lymph node metastasis in NSCLC,the cutoff point of SUVmax in the primary lesion was 3.83(P＜0.001),and the cutoff point of SUVmax in lymph nodes was 3.07(P＜0.001).Conclusion In early NSCLC,preoperative PET-CT examination has a high diagnostic accuracy for ground glass nodule lymph node metastasis,but its di-agnostic value for solid nodule lymph node metastasis is limited and insufficient to guide lymph node dissec-tion.Primary lesion SUVmax≥3.83 or lymph node SUVmax≥3.07 are high-risk factors for early lymph node metastasis in lung cancer.

Objective To identify potential biomarkers and establish a prediction model for chemotherapy-related hepatotoxicity susceptibility based on plasma endogenous metabolites of colorectal cancer(CRC)patients before chemotherapy.Methods The plasma samples of 50 CRC patients before capecitabine chemotherapy and the records of their chemotherapy-related hepatotoxicity during the follow-up were collected.An ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry(UHPLC-Q-TOF-MS)was used to perform untargeted metabolomic analysis.Based on bioinformatics analysis,differential analysis,correlation analysis,and random forest were used to screen for hepatotoxicity-related plasma endogenous metabolites.All samples were randomly assigned(7∶3)to training set or test set.A multivariate logistic regression model was established to predict the hepatotoxicity of capecitabine chemotherapy based on the training set data.The prediction effects of the model in the training,test and entire sets were evaluated by receiver operating characteristic(ROC)curve analysis.Results The endogenous metabolites related to hepatotoxicity in the plasma of CRC patients before chemotherapy were mainly lipid endogenous metabolites.A series of potentially important predictive biomarkers for hepatotoxicity susceptibility were identified,including sphingamine-1-phosphate,ceramide,galactose,arachidonic acid,tyrosine,biliverdin,myristic acid,phosphatidylcholine(35∶1),phosphatidylethanolamine(36∶1),and hexadecanoic acid.The area under curve values of the prediction model based on the above biomarkers in the training,test and entire sets were 0.946(95%confidence interval[CI]0.842-1.000),0.920(95%CI 0.720-1.000),and 0.912(95%CI 0.810-0.982),respectively.Conclusion The endogenous metabolites in the plasma of CRC patients before chemotherapy can effectively predict the hepatotoxicity of capecitabine chemotherapy.These hepatotoxicity biomarkers indicate that susceptible patients have characteristics related to lipid metabolism disorders.

Objective To construct 5 machine-learning models and compare their performance in predicting the associations between pre-pregnancy socio-psycho-behavioral exposures of both spouses and preconception outcomes.Methods Based on Chongqing Preconception Reproductive Health and Birth Outcome Cohort of volunteers recruited from Chongqing Health Center for Women and Children during January 2019 and March 2022,5 447 couples were recruited and surveyed through interviewer-interview for the demographic and social-psychological-behavioral data of both spouses(221 variables).According to the inclusion and exclusion criteria,4 097 couples were finally included,and randomly assigned into a training set(n=2 867 spouses)and a validation set(n=1 230 spouses)at a ratio of 7∶3.Feature analysis and collinear screening were applied to select the potential exposure factors.In consideration of difficulty to carry out semen parameters analysis in primary healthcare institutions,feature Set 1 including sperm parameters and feature Set 2 excluding semen parameters were constructed by including or excluding sperm quality simultaneously in the training set and the validation set.Five algorithms,that is,Logistic Regression,Naive Bayes,Random Forest,Gradient Boosting Machine,and Support Vector Machine,were used to construct preconception outcome prediction models,and the parameters of each model were optimized using random search combined with grid search.The predictive performance of each model was compared using precision,recall,F1 score,area under the receiver operating characteristic curve(AUC),and calibration curve.The optimal model was then selected by comparing the changes in the predictive ability of the questionnaire data for fertility outcomes with or without semen parameters.Results There were 24 variables screened out in feature Set 1,and 16 variables in feature Set 2.In feature Set 1,the gradient boosting machine performed better,with a relatively higher AUC value(0.651)and better F1 score(0.61).The logistic regression model performed stably(AUC value=0.647)and was suitable as the reference model.The random forest(AUC value=0.641),Naive Bayes(AUC value=0.641),and support vector machine(AUC value=0.634)performed second-best.By utilizing the gradient boosting machine,comparable results were found between the predictions from feature sets with or without semen parameters,as in feature Set 1,the AUC value of its validation set was 0.651(95%CI:0.629～0.681),the prediction accuracy was 0.63,the recall rate was 0.65,and the average precision value F1 was 0.61;and in feature Set 2,the AUC value of its validation set was 0.649(95%CI:0.624～0.663),and both the calibration curves were close to the ideal curve.The prediction results indicated that in feature Set 1,the features highly negatively correlated with preconception outcomes were female age,male age,and no pregnancy within 1 year without contraception,while the features highly positively correlated with preconception outcomes were female pregnancy history,total sperm vitality,and use of contraceptive measures before enrollment.Conclusion Among the 5 machine-learning algorithms performed in this cohort data,the gradient boosting machine shows slightly better performance.There are 24 factors being associated with preconception outcomes in both spouses,and the performance of the simplified model excluding semen parameters is not significantly declined.It is feasible to use machine-learning methods to predict human preconception outcomes through social-psychological-behavioral questionnaires.

Objective:The components of Rubus parvifolius L. were analyzed based on UPLC-MS/MS technology and combined with network pharmacology analysis to explore the mechanism of action of Rubi Parvifolii Radix in treating inflammation, cough, fever, influenza and sore throat. Method:The chemical constituents of Rubi Parvifolii Radix were identified according to the information of mass spectrometry. The network pharmacology was used to analyze the corresponding targets and related pathways of its chemical components, and the "component-target-pathway" interaction diagram was drawn. PyMOL 2.5.7 software wasused to perform molecular docking between active components and key targets.Results:Twenty chemical components were identified by UPLC-MS/MS, and 15 components were screened out by network pharmacology, which can be used as quality markers of Rubi Parvifolii Radix, namely Azelaic acid, Procyanidol B3, Caprolactam, Bis (2-ethylhexyl) adipate, Cryptochlorogenic acid, 3-O-Feruloylquinic, Ellagic acid, Aurantiamide acetate, 2 α,3 β,19 α,23-Tetrahydroxyurs-12-en-28-oic acid, L-Epicatechin, (E)-3-Indoleacrylic acid, Euscaphic acid, Suberic acid, Diisononyl phthalate and Prodelphinidin T4. Molecular docking showed that 5 compounds compared with the reference substance could bind to the target proteins of disease well. Conclusions:The 15 active ingredients in Rubi Parvifolii Radix, including Caprolactam and (E)-3-Indoleacrylic acid, may play a therapeutic role in treating colds, high fever, sore throat, and inflammation by acting on targets such as AKT1 and TNF. This provides a certain reference for the clinical application of Rubi Parvifolii Radix.

In order to further promote the standardization of the integrated traditional Chinese and western medicine treatment of atopic dermatitis(AD),the team of Professor Chen Dacan,who is honored as the Qihuang Scholar,developed the Clinical Practice Guidelines for Integrated Traditional Chinese and Western Medicine in Atopic Dermatitis(hereinafter referred to as Guidelines for AD).This paper detailed the process of development of Guidelines for AD,and analyzed the characteristics of Guidelines for AD,as well as the difficulties and countermeasures encountered during such a time.The development of Guidelines for AD follows the methodology of international guidelines for clinical trial.Experts specializing in various disciplines,such as traditional Chinese medicine,western medicine,integrated traditional Chinese and western medicine,and methodology,composed an expert group and a working group.On the basis of systematic literature research,the clinic experiences of frontline experts were well-summarized,and the draft of Guidelines for AD was formed after several meetings and discussions.In the process of developing Guidelines for AD,quite a number of problems were encountered,and the project team found the corresponding countermeasures after analyzing these problems.The countermeasures became the characteristics of Guidelines for AD:the integration of traditional Chinese medicine therapies and western medicine therapies,and the evaluation of the evidence of integrated traditional Chinese and western medicine solved the problem of traditional Chinese and western medicine diagnosis and treatment of AD lacking standardization;the adequately combination of the evidence with the experience of clinical practice solved the problems of the low overall level and the insufficiency of traditional Chinese medicine evidence for AD;the establishment of management goals and strategies for AD after taking the advantages of both traditional Chinese medicine and western medicine into account was in line with the international treatment and management concepts;the formulation of individualized traditional Chinese and western medicine therapy based on the integration of traditional Chinese medicine therapy and western medicine therapy met the clinical needs of patients with different characteristics of AD.The development process of Guidelines for AD and the analysis of problems and countermeasures during such a time will provide reference and reflection for the subsequent establishment of clinical guidelines for the integrated traditional Chinese and western medicine in other diseases.