OBJECTIVE To provide technical support for improving recognition rate of adverse drug events （ADEs） related to traditional Chinese medicine （TCM） formula granules and decoction pieces among inpatient patients. METHODS By referencing the global trigger tool （GTT） whitepaper， literature on adverse reactions to TCM， and expert review opinions， ADE trigger items for TCM formula granules and decoction pieces used in the inpatients were established. GTT was applied to analyze ADEs in inpatients who had used TCM formula granules and decoction pieces in our hospital from August 2013 to August 2023， utilizing the Chinese Hospital Pharmacovigilance System. The effectiveness of GTT and the characteristics of these ADEs were analyzed. RESULTS A total of forty-eight triggers were established， including thirty-two laboratory test indexes， thirteen clinical symptoms， and three antidotes. Among the 1 682 patients included， GTT identified 652 potential ADEs， 284 true positive ADEs，with a trigger rate of 38.76% and a positive predictive value of 43.56%. After review by the auditor， 278 cases of ADEs were finally confirmed， with an incidence rate of 16.53%， significantly higher than the number of spontaneously reported ADEs during the same period （0）. The 278 cases of ADEs were mostly grade 1 （223 cases）， mainly involving hepatobiliary system， gastrointestinal system， blood- lymphatic system， etc；a total of 219 types of TCMs are involved，and the top five suspected TCMs used at a frequency higher than 1% were Poria cocos， Codonopsis pilosula， Atractylodes macrocephala， fried Glycyrrhiza uralensis， and Scutellaria baicalensis. CONCLUSIONS The established GTT can improve the recognition rate of ADEs for hospitalized patients using traditional Chinese medicine formula granules and decoction pieces.

Objective To understand the situation of dental cone beam computed tomography (CBCT) quality control testing phantoms in radiation health technical service institutions in Guangdong province, analyze the differences among different phantoms, and provide a reference for dental CBCT quality control testing. Methods The testing phantoms of 49 radiation health technical service institutions were used as the research objects. The designated CBCT equipment was used for scanning and imaging. The Z-score method was used to evaluate the high-contrast resolution, low-contrast resolution, and distance measurement deviation of each phantom. Results The satisfaction rates of various items for the phantoms in 49 institutions ranged from 85.7% to 100%. The distance measurement deviations of four institutions were “suspicious”, and the high-contrast resolution of four institutions and the distance measurement deviation of one institution were “unsatisfactory”. Conclusion The overall performance of dental CBCT quality control testing phantoms in radiological health technical service institutions in Guangdong province is satisfactory. However, there are still some phantoms with poor results in items such as distance measurement deviation and high-contrast resolution. The structural design, material selection, and manufacturing process of the phantom may all affect the results of quality control testing. Therefore, appropriate phantoms, optimized exposure conditions, and suitable reconstruction algorithms should be used in CBCT quality control testing to ensure accurate and reliable measurements.

Objective: To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students. Methods: Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association. Results: Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01). Conclusion Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.

Objective: To explore the potential causal association between adolescent compulsive behaviour and smartphone addiction based on longitudinal data, so as to provide reference for the establishment of adolescent smartphone addiction interventions. Methods: A preliminary survey and follow-up were conducted on 8 907 middle and high school students in a district of Shenzhen in 2022 and 2023, respectively. Compulsive behaviours were measured by using the Mental Health Inventory for Middle School Students-60 Items (MMHI-60), smartphone addiction was assessed by using the Smartphone Addiction Scale-Short Version ( SAS- SV), and the associations between compulsive behaviours and smartphone addiction were analysed by using multilevel mixed-effects models and subgroup analyses. Results: Smartphone addiction detection rates among middle school students were significantly associated with genders, father s education level, mother s education level, study load subgroups, and whether or not they were single-parent families, and there were statistical differences ( χ 2=17.21-175.34, P <0.05). Students with compulsive behaviours were 2.98 times more likely to develop smartphone addiction than those without compulsive behaviours ( OR=2.98, 95%CI=2.77-3.22, P <0.05). Subgroup analysis of middle school students without smartphone addiction in the first year found that compulsive behaviours significantly predicted smartphone addiction ( OR= 1.76 , 95%CI=1.54-2.01, P <0.05). Conclusion There is a potential causal association between obsessive-compulsive behaviours and smartphone addiction in middle school students, and obsessive-compulsive behaviours in middle school students could significantly predicted the occurrence of smartphone addiction.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

ObjectiveTo explore the effect of precocious puberty on glucose metabolism and lipid metabolism in female rats. MethodsSixty two-day-old female rats were randomly divided into 2 groups. When aged 5 days， the precocious puberty group and normal group were given a single subcutaneous injection of danazol and solvent soybean oil respectively. The vaginal opening of rats was monitored from their 21 days of age. After 12 hours of fasting， all successful modeling rats were randomly executed within 3 days after vaginal opening， when aged 7 and 12 weeks. Then we measured the rats’ body weight and length， determined the concentrations of glucose， insulin， blood lipids， estradiol， leptin and adiponectin with enzyme-linked immunosorbent assay and observed the pathological changes of perirenal fat， uterus and ovary. ResultsFor body weight and length， rats in the precocious puberty group were smaller than those in the normal group within 3 days after vaginal opening， but which did not affect their subsequent growth and development， and there was no significant difference between the two groups at 7 and 12 weeks of age. Within 3 days after vaginal opening， insulin levels had significant difference between the two groups （P = 0.001）， the precocious group showed hyperinsulinemia and increased number of perirenal adipocytes. At three execution times， no significant difference was noted in estradiol， leptin and adiponectin levels between the two groups. The same was true in the ratios of ovary or uterus to body weight between the two groups. ConclusionsPrecocious puberty makes earlier onset of pubertal development and allows body maladaptation to the sudden changes of the internal environment. However， the changes due to precocious puberty are temporary and reversible， and they may become normal in adulthood.

Objective To observe the daily bladder and bowel preparation of patients with prostate cancer by cone-beam computed tomography (CBCT), and analyze its impact on the precise implementation of radiotherapy for prostate cancer and side effects. Methods We retrospectively analyzed 38 patients with prostate cancer who underwent volumetric modulated arc therapy. The number of radiation fractions for each patient ranged from 25 to 35. A CBCT scan was performed before each daily radiation therapy, and the number of scans for each patient ranged from 25 to 40. Setup errors were adjusted to ensure that the tumor was targeted and the rectum wall was not in the high-dose target area of the prostate. There were 93 instances where treatment could not be successfully implemented and re-preparation and re-scanning were required. We calculated the success rate of treatment and setup errors, compared radiotherapist-adjusted error values under different bladder and bowel preparation conditions, and recorded radiotherapy-related side effects. Results The success rate of treatment in the 38 patients was (92.14 ± 5.25)%. Among the 93 instances of seriously inadequate preparation, 48.4% were due to insufficient bladder filling, and 30.1% were due to intestinal bloating. Radiotherapy side effects were negatively correlated with the success rate of treatment (r = −0.393, P = 0.015). When bladder filling was sufficient, there were no significant differences in radiotherapist-adjusted error values in the left-right (LR), superior-inferior (SI), and anterior-posterior (AP) directions between adequate and inadequate bowel preparation (P > 0.05). When the bladder was moderately or insufficiently filled, there were significant differences in radiotherapist-adjusted error values in the LR, SI, and AP directions between adequate and inadequate bowel preparation (P < 0.05). Conclusion Insufficient bladder filling and intestinal bloating are the main factors influencing the successful implementation of radiotherapy for prostate cancer. When the bladder is sufficiently filled, bowel preparation does not affect prostate position change.

Bone Transplantation/adverse effects* ; Transplantation, Autologous/adverse effects*

Objective: To explore the expression and clinical significance of histone deacetylase 5 (HDAC5) in oral squamous cell carcinoma (OSCC) and provide a research basis for targeted therapy of HDAC5. Methods: Screening sample data of OSCC patients in TCGA database, and receiver operating characteristic (ROC) curve analysis was used to evaluate the prognostic value of HDAC5 in OSCC. Kaplan-Meier analysis was also used to analyze the correlation between HDAC5 and the prognosis of OSCC patients. Further, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to explore the potential role of HDAC5 in OSCC. Finally, the study was approved by the ethics committee and the expression level of HDAC5 in OSCC was detected by immunohistochemistry (IHC), while the relationship between HDAC5 and the clinical pathological characteristics of OSCC patients was analyzed. Results: The expression of HDAC5 can be used to assess the prognosis of OSCC patients (AUC=0.743). High expression of HDAC5 was significantly correlated with low survival probability in OSCC patients (P < 0.05). OSCC patients with high HDAC5 expression in G3/G4 pathological grading (P=0.022), OSCC patients with high HDAC5 expression in the T3/T4 stage (P=0.028), and OSCC patients with high HDAC5 expression in lymph node metastasis (P=0.019) had lower survival probability. GO and KEGG enrichment analyses showed that genes differentially expressed with HDAC5 were mainly enriched in axon generation, neuronal cell body formation, collagen fiber synthesis, neuroactive ligand receptor interactions, gated channel activity, and extracellular matrix (ECM)-receptor interaction pathways (P < 0.05). The IHC results showed that HDAC5 was highly expressed in OSCC (P < 0.05). The high expression group of HDAC5 had higher T staging (P=0.041) and lymph node metastasis (P=0.010). Conclusion HDAC5 is highly expressed in OSCC and can predict the prognosis of OSCC, and HDAC5 could serve as a therapeutic target for OSCC.

BackgroundSibling relationships play a critical role in shaping anxiety symptoms in firstborn children. Anxiety symptoms often originate in early childhood and can persist into adolescence and adulthood. However， there is insufficient research on anxiety symptoms in preschool children， especially firstborn preschool children. ObjectiveTo explore the influencing factors of anxiety symptoms among firstborn preschool children， so as to provide references for the intervention of anxiety symptom for children in families with multiple children. MethodsFrom October to December 2021， a total of 8 449 children from 234 kindergartens in Longhua District of Shenzhen were included using a cluster sampling method. Sibling Inventory of Behavior （SIB） and Spence Preschool Anxiety Scale （SPAS） were used to investigate. Logistic regression analysis was used to identify influencing factors of anxiety symptoms in firstborn preschool children. ResultsA total of 8 419 （99.64%） valid questionnaires were collected. Anxiety symptoms were detected in 344（4.09%） firstborn preschool children. Statistically significant differences were observed between anxiety group and non-anxiety group in terms of household registration， monthly family income， maternal age， maternal education level， paternal education level， family living conditions and whether they are left-behind children （χ²/t=9.906， 33.490， 5.136， 13.485， 9.690， 17.332， 21.975， P<0.05 or 0.01）. Compared with non-anxiety group， children in the anxiety group scored higher on the SIB dimensions of rivalry， aggression and avoidance （t=165.322， 74.471， 286.419， P<0.01）， and lower on companionship， empathy and teaching （t=59.133， 42.417， 39.112， P<0.01）. Risk factors for anxiety symptoms in firstborn preschool children included left-behind children， as well as negative sibling relationships characterized by rivalry and avoidance （OR=1.195， 1.143， 1.260， P<0.05 or 0.01）. ConclusionFirstborn preschool children who are left-behind are more susceptible to anxiety symptoms. Negative sibling relationships， characterized by competition and avoidance， may also contribute to the emergence of anxiety symptoms in firstborn preschool children.