Objective To systematically evaluate the risk prediction models for postoperative pulmonary infection in patients with esophageal cancer, providing an objective basis for clinical selection and optimization of models. Methods A systematic search was conducted in Chinese and English databases such as VIP, Wanfang, CNKI, CBM, PubMed, Cochrane Library, Embase, and Web of Science for studies related to the risk prediction models of postoperative pulmonary infection in patients with esophageal cancer from the inception to September 30, 2024. The PROBAST tool was used to assess the quality of prognostic model research, and the RevMan 5.4 software was used for meta-analysis of predictive factors. Results A total of 17 articles were included, containing 26 pulmonary infection risk prediction models. The area under the receiver operating characteristic curve (AUC) ranged from 0.627 to 0.942, among which 21 models had good predictive performance (AUC>0.7). Quality assessment through the PROBAST tool revealed that all 17 articles had a high risk of bias. Meta-analysis results showed that common predictive factors for postoperative pulmonary infection in esophageal cancer included smoking history (OR=1.97), smoking index ≥200 (cigarettes-years) (OR=4.38), smoking index ≥400 (cigarettes-years) (OR=2.00), age (OR=1.27), comorbid diabetes (OR=2.13), comorbid emphysema or chronic obstructive pulmonary disease (OR=1.55), low plasma albumin levels (OR=1.17), prognostic nutritional index (OR=4.45), history of related lung diseases (OR=2.10), tumor location (OR=2.32), surgical approach (OR=2.21), operation time (OR=1.73), preoperative serum procalcitonin levels (OR=3.06), anastomotic leakage (OR=3.39), reduced forced expiratory volume in the first second/forced vital capacity ratio (OR=0.86), and hoarseness (OR=2.23). Conclusion At present, the risk prediction models for postoperative pulmonary infection in esophageal cancer are still in the stage of continuous development and optimization, and their research quality needs to be further improved. Future research can refer to the predictive factors summarized in this study based on meta-analysis, combined with clinical practice, to select appropriate methods to construct and validate the risk prediction models for postoperative pulmonary infection in esophageal cancer, thus providing early targeted preventive strategies for high-risk patients.

OBJECTIVE To establish a content determination method for two specific C21‑steroid saponins namely 3- O - β -allopyranosyl-（1→4）- β -oleandropyranosyl-11- O -isobutyryl-12- O -acetyl tenacigenin B（compound T） and 17 β -tenacigenin B in Marsdenia tenacissima decoction pieces.METHODS Ultra‑high‑performance liquid chromatography‑tandem mass spectrometry （UPLC‑MS/MS） was adopted. An XSelect HSS T3 XP chromatographic column was used. Gradient elution was performed with 0.1% formic acid aqueous solution-methanol as the mobile phase. The flow rate was 0.3 mL/min， the injection volume was 5 μL， and the column temperature was 40 ℃. An electrospray ionization source was applied for mass spectrometry， and multiple reaction monitoring mode was used for positive‑ and negative‑ion acquisition.RESULTS The linear relationships of compound T and 17 β -tenacigenin B were good within the concentration ranges of 10-200 ng/mL and 20-200 ng/mL， with r values of 0.993 1 and 0.998 6， respectively； the RSD values of precision， repeatability， accuracy， and stability were all below 4.5% （ n ＝5-6）. Their contents in three batches of decoction pieces were 94.0-102.8 μg/g and 1 705.4-1 736.2 μg/g， respectively.CONCLUSIONS The established method can be applied for the content determination of the two specific C21‑steroid saponins mentioned above in M. tenacissima decoction pieces.

Objective To explore the correlation between kinesiophobia and disease uncertainty, personal mastery, cardiac discomfort symptoms in patients with acute myocardial infarction (AMI) during recovery period. Methods A total of 320 patients with AMI admitted to the hospital were enrolled between January 2020 and January 2024. According to the results of Tampa Scale for Kinesiophobia Heart (TSK-H), they were divided into AMI kinesiophobia group (n=166) and simple AMI group (n=154). The disease uncertainty was evaluated by Mishel Uncertainty in Illness Scale for Adults (MUIS-A), personal mastery was evaluated by Personal Mastery Scale (PMS), and cardiac discomfort symptoms were evaluated by cardiac discomfort symptom scale. The correlation between kinesiophobia and disease uncertainty, personal mastery, cardiac discomfort symptoms in AMI patients was analyzed by Pearson correlation analysis. Results The scores of MUIS-A and cardiac discomfort symptoms in AMI kinesiophobia group were higher than those in simple AMI group (P<0.05), and PMS scores were lower than those in simple AMI group (P<0.05). The score of kinesiophobia was significantly positively correlated with scores of disease uncertainty and cardiac discomfort symptoms (r=0.628, 0.689, P<0.05), while significantly negatively correlated with the score of personal mastery (r=-0.526, P<0.05). Conclusion Kinesiophobia is related to disease uncertainty, personal mastery and cardiac discomfort symptoms in AMI patients during recovery period. Clinical medical staffs should focus on patients with the above characteristics. The targeted intervention measures can improve kinesiophobia and promote recovery of patients.

ObjectiveTo investigate the protective effect of α-ketoglutarate （α-KG） on hepatic lipid deposition in offspring caused by arsenic exposure during pregnancy. Methods8-week-old institute of cancer research （ICR） mice were mated in a ratio of 2∶1 between females and males， and the detection of vaginal plugs confirmed pregnant. A total of 32 pregnant mice were randomly divided into four groups： control group， arsenic group， α-KG group， arsenic+α-KG group. On gestational day 0-16 （GD0-GD16）， the arsenic and arsenic+α-KG groups were exposed to sodium arsenite （NaAsO₂ ，15 mg/L） in drinking water everyday， and the α-KG and arsenic+α-KG groups were gavaged with α-KG （2 g/kg） everyday. On GD16， pregnant mice were euthanized to collect fetal liver， and fetal body weight and crown-rump length were measured. Gene expression differences between the control group and the arsenic group were analyzed by transcriptome. The total triglycerides （TGs） and subtypes in fetal liver were detected by liquid chromatography tandem mass spectrometry （LC-MS/MS）. Oil red O staining was used to observe the histopathological changes in the liver. Quantitative polymerase chain reaction （qPCR） was used to detect the expression level of genes related to lipid synthesis， transport， and degradation， and phosphatidylinositol 3' -kinase/ protein kinase B （PI3K/AKT） in the liver of fetus. ResultsTranscriptomics analysis showed that 2 144 genes were downregulated and 1 675 genes were upregulated in the arsenic exposed fetal liver； body weight and crown-rump length were reduced （P_TuKey<0.05）； the level of hepatic TGs was elevated in arsenic group （P_TuKey<0.05）； oil-red O staining showed a significant increase in lipid droplets in arsenic group （P_TuKey<0.01）； the expression of lipid synthesis-related genes were significantly upregulated （P_TuKey<0.05）； the expression of β-oxidation-related genes and lipid degradation-related genes were downregulated （P_TuKey<0.05）； the expression of PI3K， AKT decreased（P_TuKey<0.05）. Compared with the arsenic group， the body weight and crown-rump length of fetus increased in the arsenic+α-KG group （P_TuKey<0.05）； the level of hepatic TGs decreased in the arsenic+α-KG group （P_TuKey<0.05）； oil red O staining showed lipid droplets significantly decreased （P_TuKey<0.01）； the expression of lipid synthesis-related genes were downregulated （P_TuKey<0.05）， the expression of β-oxidation-related genes and lipid degradation-related genes were upregulated （P_TuKey<0.05）； the expression levels of PI3K and AKT increased （P_TuKey<0.05）. Conclusionα-KG alleviated hepatic lipid deposition in offspring exposed to arsenic during pregnancy through activating PI3K/AKT signaling pathway.

Objective: To develop machine learning identification models for the relatively high risk of social-emotional problems among Chinese school-aged children, and compare internal validation performances across different algorithms, so as to provide reference for preliminary identification of relatively high risk in school-aged children s social-emotional problems. Methods: Based on the 2022 proxy-reported data for children from the China Family Panel Studies (CFPS), a total of 3 575 children aged 6-15 years from 2 709 families who completed the survey between May and December 2022 were included. Relatively high risk of social-emotional problems was defined using a composite score constructed from 12 social emotional related items in the CFPS 2022 general questionnaire. Data were split approximately 7∶3 (modeling group: 2 503, validation group: 1 072) by household identifier (ID) to ensure all children from the same family were assigned to the same dataset. Candidate variable selection, missing value imputation parameter fitting, least absolute shrinkage and selection operator (LASSO) feature screening, model training, and hyperparameter tuning were performed within the development set, while internal validation was conducted in the validation set. Weighted AUC, Brier score, sensitivity, specificity, calibration curves, and decision curves were compared across Logistic regression, random forest (RF), gradient boosting decision trees (GBDT), support vector machines (SVM), and extreme gradient boosting (XGBoost). The Shapley additive explanations (SHAP) method was used for exploratory interpretation of the RF model, which achieved the highest AUC value in the validation set. Results: A total of 941 (26.3%) were classified as having relatively high risk of social emotional problems. A total of 659 and 282 high risk cases were in the modeling group and validation group, respectively, with no cross set split of households. LASSO retained 10 features. In the validation set, the RF model achieved the highest AUC of 0.672 (95% CI =0.624-0.717) and a Brier score of 0.184. The Logistic regression model achieved a validation AUC of 0.670 (95% CI =0.624-0.716). The incremental AUC gain of RF over Logistic regression was 0.002 (family cluster paired bootstrap 95% CI =-0.016 to 0.020, P =0.856). Following household ID splitting, all models showed moderate internal validation performance. Although RF achieved the highest numerical value, its incremental gain over Logistic regression was limited. Conclusion The model can serve as a reference for preliminary identification research on the relatively high risk of social emotional problems in school aged children, though its stability and applicability require further validation in external samples.

ObjectiveTo investigate the effects of Liuwei Dihuangwan on mammalian target of rapamycin （mTOR）-mediated synaptic plasticity in the prefrontal cortex-hippocampus circuit in the rat model of valproic acid （VPA）-induced autism spectrum disorder （ASD） and to explore its potential mechanism for reducing behavioral abnormalities in ASD rats. MethodsThirteen SD pregnant rats were randomized into the VPA group （10 rats） and the control group （3 rats）. On gestational day 13， the VPA group was intraperitoneally injected with VPA solution （600 mg·kg^-1）， while the control group was injected with an equal volume of normal saline. Male pups of 21 days old from both groups underwent behavioral tests to screen the ASD model rats （32 rats）. These rats were then randomly assigned to the model （distilled water）， vitamin D （1 480 U·kg^-1）， low-dose （0.75 g·kg^-1） Liuwei Dihuangwan， and high-dose （1.5 g·kg^-1） Liuwei Dihuangwan groups， and normal male pups were selected as the blank group （distilled water）， with 8 rats in each group. Each group was treated with the corresponding drug or an equal volume of distilled water via gavage daily. After drug administration， behavioral tests were conducted again， followed by anesthesia and tissue collection. Nissl staining was carried out to observe the morphological changes of neurons in the prefrontal cortex and hippocampus. Transmission electron microscopy was used to observe changes in hippocampal synaptic structure. Immunohistochemistry and Western blot were employed to determine the expression of mTOR， phosphatidylinositol 3-kinase （PI3K）， and protein kinase B （Akt） in the prefrontal cortex， as well as synaptophysin-1 （SYP-1）， postsynaptic density 95 （PSD95）， and N-methyl-D-aspartate receptors （NMDARs） in the hippocampus. ResultsCompared with the control group， the model group exhibited severe growth retardation and developmental deformities， with abnormal behavioral performance and pathological damage to neurons and synapses in the prefrontal cortex and hippocampus. Compared with the model group， all treatment groups showed reduced behavioral abnormalities and pathological damage to neurons and synapses in the prefrontal cortex and hippocampus， with the most significant effects in the high-dose Liuwei Dihuangwan group. Immunohistochemistry and Western blotting results showed that compared with the control group， the model group exhibited significantly increased protein levels and phosphorylation ratios of p-mTOR， p-Akt， and p-PI3K in the prefrontal cortex （P<0.05， P<0.01）， and decreased protein levels of SYP-1 and PSD95 and increased protein level of NMDARs in the hippocampus （P<0.01）. Compared with those in the model group， the protein levels of p-mTOR， p-Akt， and p-PI3K in the prefrontal cortex decreased in the vitamin D and high-dose Liuwei Dihuangwan groups （P<0.05）， and the p-mTOR/mTOR， p-Akt/Akt， and p-PI3K/PI3K ratios in the prefrontal cortex declined in the vitamin D group （P<0.05）. The high-dose Liuwei Dihuangwan group showed a reduction in p-PI3K/PI3K ratio （P<0.05）. The protein level of SYP-1 and PSD95 in the hippocampus increased in the vitamin D， low-dose Liuwei Dihuangwan， and high-dose Liuwei Dihuangwan groups （P<0.05， P<0.01）， while the protein level of NMDARs decreased in the vitamin D and high-dose Liuwei Dihuangwan groups （P<0.01）. ConclusionLiuwei Dihuangwan significantly reduces VPA-induced ASD-like behaviors and enhances the regeneration and repair of neurons in the prefrontal cortex and synaptic structures in the hippocampus by downregulating of PI3K/Akt/mTOR expression in the prefrontal cortex， upregulating SYP-1 and PSD95 expression in the hippocampus， and inhibiting NMDARs expression.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

Objective To analyze the factors affecting the prevalence of hyperuricemia(HUA)in an island troop.Methods A total of 1 113 soldiers stationed on an island from December 2021 to December 2022 were selected as research objects by cluster sampling.Their lifestyle and health information were collected.Physical examination and laboratory detection were conducted.Multivariate logistic regression was used to analyze the influencing factors of HUA.Results The prevalence rate of HUA was 21.02%(234/1 113).There were significant differences in the body mass index(BMI),waist-to-hip ratio,triglyceride,alanine aminotransferase,and creatinine between the soldiers with hyperuricemia and the soldiers with normal blood uric acid(P<0.05).Multivariate logistic regression analysis showed that BMI≥24(OR=1.49,95%CI:1.09-2.05),abnormal liver function(OR=2.26,95%CI:1.31-3.92),and dyslipidemia(OR=1.46,95%CI:1.01-2.12)were positively correlated with hyperuricemia;age>30 years old(OR=0.59,95%CI:0.37-0.93)and exercise time>1 h per week(OR=0.46,95%CI:0.22-0.97)were negatively correlated with HUA.Conclusion The prevalence rate of hyperuricemia is at a high level in an island troop.BMI≥24,age≤30 years old,exercise time≤1 h per week,abnormal liver function,and dyslipidemia are the risk factors for HUA.Prevention and control measures should be taken as early as possible for the soldiers with these risk factors.

Objective To investigate the association between birth weight and dementia risk and the mediating roles of chronic diseases,and to assess potential biological pathways underlying the birth weight-associated dementia risk based on large-scale proteomics.Methods We used data from 279 743 participants aged 40 to 69 years enrolled in the UK Biobank.Birth weight was categorized into low birth weight(≤2 500 g),normal birth weight(2 500-3 999 g),and macrosomia(≥4 000 g).Multivariable Cox proportional hazards regression models were used to assess the associations between birth weight categories and all-cause dementia and its subtypes(Alzheimer's disease and vascular dementia).Proteomics analyses were conducted to identify proteins and the potential pathways involved.Results Low birth weight was associated with higher risks for all-cause dementia and its subtypes.The hazard ratios were 1.18(95%CI,1.08-1.30)for all-cause dementia,1.14(95%CI,1.00-1.31)for Alzheimer's disease,and 1.22(95%CI,1.01-1.48)for vascular dementia.A non-linear relationship was observed between birth weight and dementia risk(P for nonlinearity<0.001).Certain cardiometabolic diseases in middle-aged adults,such as diabetes,stroke,hypertension,and dyslipidemia,played a significant mediating role in the relationship between low birth weight and dementia risk,with the mediation proportion being 6.3%to 15.8%.Proteomic analyses identified 21 proteins linked to both low birth weight and all-cause dementia risk,which were significantly enriched in the pathways for viral protein interaction with cytokines and cytokine receptors,adipocytokine signaling,and cytokine-cytokine receptor interaction.Conclusion Low birth weight is positively associated with dementia risk.Cardiometabolic diseases in middle-aged adults may mediate the relationship between low birth weight and dementia risk.A number of proteins and the associated pathways underscore the relationship between low birth weight and dementia risk.