Objective: To investigate the incidence and risk factors of open gingival embrasures (OGEs) in the incisor region after treatment with clear aligners in adult non-extraction patients and provide a reference for preventing the occurrence of an open gingival wedge gap in the incisal area after orthodontic treatment. Methods: This study has been reviewed and approved by the institutional medical ethics committee, and informed consent was obtained from the patients. A total of 125 adult patients with malocclusion who completed clear aligner treatment at Hefei Stomatological Hospital from September 2022 to December 2024 were selected as the study subjects. Based on the presence or absence of OGEs in the incisor region observed in frontal intraoral photographs taken immediately after treatment completion, the patients were divided into a normal group and an OGE group. Clinical data, including intraoral photographs, digital models, and cone-beam computed tomography before and after treatment, were analyzed. Measurements such as incisor overlap and rotation, crown morphology, number of attachments, and interproximal enamel reduction (IPR) were recorded and analyzed. Results: The incidence of OGEs between the maxillary and mandibular central incisors after clear aligner treatment in adult patients was 28.8% and 39.2%, respectively. No statistically significant differences were observed between the normal and OGE groups in terms of sex, Angle's classification, gingival biotype, overbite, overjet, IPR amount, age, treatment duration, tooth axis angulation, or horizontal movement distance of mandibular central incisors before and after treatment (P 0.05). However, significant differences were found in the number of attachments, anteroposterior distance between mesial incisal angles, distance from the interproximal contact point (ICP) to the alveolar bone crest (ABC) (ICP-ABC), horizontal distance between mesial cementoenamel junction (CEJ) of two adjacent central incisors (CEJ-CEJ) and labial alveolar bone thickness (P 0.05). IPR amount and mandibular incisor intrusion were significantly associated with the severity of OGEs (P 0.05). Regression analysis revealed that the number of attachments, anteroposterior distance between mesial incisal angles, ICP-ABC distance, and CEJ-CEJ horizontal distance were significantly correlated with the occurrence of OGEs. Conclusion The incidence of open gingival embrasures in the mandibular central incisor region is relatively high among adult patients treated with clear aligners. The number of attachments (n = 2), the anteroposterior distance between the mesio-incisal angles, the distance from the tooth contact point to the alveolar bone crest, and the horizontal distance between adjacent cementoenamel junctions have been identified as risk factors for the development of open gingival embrasures upon completion of orthodontic treatment.

To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions.

Objective To analyze the epidemiological characteristics and disease burden of liver cancer in Guangdong Province in 2020, and to provide a scientific foundation for the development of regionalized prevention and control strategies for liver cancer. Methods According to the cancer registry data of Guangdong Province, the incidence, mortality and age-standardized rate by Chinese standard population in 2020 were calculated to analyze the epidemiological characteristics of liver cancer. The disability adjusted life years (DALYs), year of life loss (YLL), year of lived with disability (YLD), and cause-eliminated life expectancy were used to assess the disease burden of liver cancer. Results In 2020, the crude incidence rate and the age-standardized incidence rate of liver cancer in Guangdong Province were 27.79/100 000 and 20.84/100 000，respectively, and the crude mortality rate and the age-standardized mortality rate of liver cancer were 25.49/100,000 and 17.64/100 000, respectively. The total DALY and DALY rate of liver cancer in Guangdong Province were 515 311 person-years and 513.83/100 000, respectively. After eliminating the causes of death from liver cancer, the life expectancy in Guangdong Province increased from 84.60 years to 84.99 years. All indicators consistently demonstrated that the burden of liver cancer was higher in males than that in females, and the burden of liver cancer was higher in rural areas than that in urban areas. Conclusion Liver cancer in Guangdong Province exhibits a high incidence, mortality and disease burden level in 2020. There are obvious differences of gender, age and region in cancer burden. It is necessary to strengthen liver cancer screening and diagnosis and treatment in men, the elderly and those in rural areas to reduce the burden of liver cancer gradually in Guangdong Province.

Objective To analyze the epidemiological and spatial clustering characteristics of varicella in Changzhou from 2018 to 2024, and to provide a theoretical support for the formulation of prevention and control measures. Methods The reported case information of varicella in Changzhou from 2018 to 2024 was collected through the China Information System for Disease Control and Prevention, and the three-dimensional distribution characteristics were analyzed. The incidence trend was analyzed by Joinpoint regression, and the spatial autocorrelation analysis was performed by Arc GIS 10.5 software. The spatiotemporal scanning analysis was carried out with SaTScan 10.1.2 software. Results From 2018 to 2024, a total of 42,132 cases of varicella were reported in Changzhou, with an average annual incidence of 116.25/100,000. The reported incidence showed a downward trend, with an annual percentage change (APC) of -21.96% (95%C1: -32.63%~-9.33%, P<0.01). The incidence showed a ^“bimodal distribution^”, and the age group was mainly under 15 years old (29,086 cases, accounting for 69.04%). The difference in incidence between men and women was statistically significant (χ²= 92.83, P<0.001), and the incidence gradually decreased with age ( χ²_trend=112771.44, P<0.001). Global autocorrelation analysis showed that there was spatial aggregation in the six years (P<0.05), and local autocorrelation analysis showed that most of the towns (streets) in the three central urban areas of Tianning District, Zhonglou District, and Xinbei District, as well as some towns (streets) in Liyang City, Wujin District, and Economic Development Zone were high-high aggregation areas. Spatiotemporal scanning analysis showed that the first type of aggregation area was most of the towns (streets) in Tianning District, Zhonglou District and Xinbei District (23, accounting for 92%), and some towns (streets) in Wujin District and Economic Development Zone (RR=3.76, P<0.001), and the second type of aggregation area was most of the towns (streets) in Liyang City (7, accounting for 70%) (RR=3.66, P<0.001). Conclusion The reported incidence of varicella in Changzhou City shows a downward trend, with multiple spatial and temporal clusters. The prevention and control of varicella in high-risk clustering areas, peak hours and high-risk populations should be strengthened, and intervention measures should be taken as soon as possible.

BackgroundLow medication compliance among patients with severe mental disorders increases the disease burden on both the patients' families and the society. Medication adherence is influenced by numerous factors. Traditional methods such as Logistic regression struggle to quantify the importance of these factors. By introducing Extreme Gradient Boosting （XGBoost） combined with Shapley Additive Explanations （SHAP）， enables the quantification of the relative contribution weights of each factor， providing support for identifying the core influencing factors. ObjectiveTo explore the influencing factors of medication adherence among patients with severe mental disorders in Zhuhai， aiming to provide references for optimizing patient management strategies. MethodsExtract the data of patients with severe mental disorders who were registered on the mental health system platform in Zhuhai City from January 1， 2023 to March 31， 2025. A total of 9 329 patients were finally included for analysis. Influencing factors were screened using univariate analysis and multivariate logistic regression analysis， and an XGBoost model combined with the SHAP algorithm was constructed to quantify the importance of each influencing factor. ResultsAmong 9 329 patients， 8 446 demonstrated medication adherence， yielding an adherence rate of 90.53%. Multivariable analysis identified several risk factors significantly associated with medication non-adherence， being unmarried （OR=1.237， 95% CI： 1.019–1.502） or divorced （OR=1.389， 95% CI： 1.038–1.832）， a diagnosis of mental retardation with psychiatric disorders （OR=3.025， 95% CI： 2.402–3.796） or paranoid psychosis （OR=5.117， 95% CI： 3.086–8.299）， a disease duration of 2–4 years （OR=1.355， 95% CI： 1.085–1.696）， 4–6 years （OR=2.143， 95% CI： 1.671–2.747）， or >6 years （OR=1.681， 95% CI： 1.365–2.079）， lack of guardian subsidies （OR=1.412， 95% CI： 1.099–1.801）， absence of a disability certificate （OR=1.900， 95% CI： 1.588–2.282）， not being enrolled in care and support groups （OR=1.384， 95% CI： 1.183–1.617） or community services （OR=1.313， 95% CI： 1.042–1.645）， and not cohabiting with a guardian （OR=1.257， 95% CI： 1.048–1.501）. Conversely， the enrollment in special outpatient disease programs （OR=0.716， 95% CI： 0.609–0.842） and a family history of mental illness （OR=0.713， 95% CI： 0.503–0.982） were identified as protective factors. The XGBoost model exhibited robust predictive performance， with a sensitivity of 0.433， specificity of 0.944， accuracy of 0.891， Area Under the Curve （AUC） of 0.837， and F1 value of 0.449. Feature importance ranking indicated that the top three factors were disease duration， diagnosis， and the acquisition of disability certificates. ConclusionPolicy-based support （acquisition of disability certificates， special outpatient disease enrollment） and clinical disease characteristics （disease duration， diagnosis type） are key factors affecting medication adherence among patients with severe mental disorders in Zhuhai City. ［Funded by Zhuhai Medical Research Project （number， 2220009000281）］

Esophageal cancer is a prevalent malignant tumor of the digestive tract in China, and radical surgery remains the cornerstone of its comprehensive treatment. However, multifactorial challenges such as postoperative gastrointestinal tract reconstruction, traumatic stress, and tumor-related metabolic disturbances render esophageal cancer patients highly susceptible to malnutrition. Perioperative nutritional support therapy plays a crucial role in enhancing surgical safety, improving clinical outcomes, and elevating patients' quality of life by regulating metabolic homeostasis, preserving organ function, and optimizing the immune microenvironment. This article reviews the mechanisms underlying malnutrition in esophageal cancer, methods for nutritional status assessment, and precision intervention pathways based on multi-omics evaluations. The aim is to strengthen clinicians' awareness of standardized perioperative nutritional management for esophageal cancer patients and promote its clinical implementation, thereby facilitating postoperative recovery and improving long-term quality of life.

Objective: To develop QingNangTCM, a specialized large language model (LLM) tailored for expert-level traditional Chinese medicine (TCM) question-answering and clinical reasoning, addressing the scarcity of domain-specific corpora and specialized alignment. Methods: We constructed QnTCM_Dataset, a corpus of 100 000 entries, by integrating data from ShenNong_TCM_Dataset and SymMap v2.0, and synthesizing additional samples via retrieval-augmented generation (RAG) and persona-driven generation. The dataset comprehensively covers diagnostic inquiries, prescriptions, and herbal knowledge. Utilizing P-Tuning v2, we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM. A multi-dimensional evaluation framework, assessing accuracy, coverage, consistency, safety, professionalism, and fluency, was established using metrics such as bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), metric for evaluation of translation with explicit ordering (METEOR), and LLM-as-a-Judge with expert review. Qualitative analysis was conducted across four simulated clinical scenarios: symptom analysis, disease treatment, herb inquiry, and failure cases. Baseline models included GLM-4-9B-Chat, DeepSeek-V2, HuatuoGPT-II (7B), and GLM-4-9B-Chat (freeze-tuning). Results: QingNangTCM achieved the highest scores in BLEU-1/2/3/4 (0.425/0.298/0.137/0.064), ROUGE-1/2 (0.368/0.157), and METEOR (0.218), demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy, coverage, and consistency. Although its ROUGE-L score (0.299) was lower than that of HuatuoGPT-II (7B) (0.351), it significantly outperformed domain-specific models in expert-validated win rates for professionalism (86%) and safety (73%). Qualitative analysis confirmed that the model strictly adheres to the “symptom-syndrome-pathogenesis-treatment” reasoning chain, though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes. Conclusion Combining domain-specific corpus construction with parameter-efficient prompt tuning enhances the reasoning behavior and domain adaptation of LLMs for TCM-related tasks. This work provides a technical framework for the digital organization and intelligent utilization of TCM knowledge, with potential value for supporting diagnostic reasoning and medical education.

Objective To explore the effect of remote ischemic preconditioning (RIPC) on preoperative heart rate variability in patients with heart valves. Methods Patients scheduled to undergo on-pump cardiac valve surgery in the Department of Cardiovascular Surgery, General Hospital of Northern Theater Command, between January and July 2022 were initially enrolled. Eligible patients were randomly assigned at a 1 : 1 ratio to either the RIPC group or the control group. Relevant indicators of heart rate variability [standard deviation of NN interval (SDNN), standard deviation of mean value of NN interval in every five minutes (SDANN), mean square root of difference between consecutive NN intervals (RMSSD), percentage of adjacent RR interval>50 ms (PNN50), low frequency (LF) component, high frequency (HF) component and LF/HF] at 8 hours in the morning on the surgical day between two groups were compared. Results A total of 118 patients were initially assessed. After screening, 58 patients were excluded, and 60 patients provided written informed consent and were enrolled in the trial, with 30 allocated to the RIPC group and 30 to the control group. Seven patients in the control group and 5 patients in the RIPC group were subsequently excluded due to missing heart rate variability data resulting from cancelled operations. Finally, 23 patients in the control group and 25 patients in the RIPC group were included in the analysis. There was no statistical difference in baseline characteristics between the two groups, and there was no significant difference in heart rate variability 24 hours before intervention (P>0.05). After the intervention measures were taken, the comparison of the results of heart rate variability at 8 hours on the day of operation showed that SDNN and SDANN of patients in the RIPC group were higher than those in the control group, with statistical differences (P<0.05). Conclusion RIPC can stabilize the preoperative heart rate variability of patients undergoing cardiac valve surgery.

Background Work alienation is a subjectively negative psychological state characterized by detachment from one's job and its environment. Due to heavy workloads, high-intensity tasks, low compensation, as well as pressures related to promotion, nurses are particularly susceptible to work alienation. Objective To meta-analyze the primary factors affecting work alienation of nurses in China, providing an evidence-based foundation for improving nursing management and nurses' physical and mental health. Methods A systematic search was conducted across multiple databases, including PubMed, Embase, the Cochrane Library, Web of Science, CNKI, VIP, Wanfang Data, and DBM, for cross-sectional studies on work alienation and its influencing factors among nurses in China published from inception to December 2024. Two researchers independently conducted literature screening, data extraction, and risk of bias assessment for the included studies. Meta-analysis was performed using Stata 15.0 and RevMan 5.4 software. Pooled effect sizes were calculated using either fixed-effects or random-effects models based on the magnitude of heterogeneity. Results A total of 27 studies involving 13 028 nurses were included in the meta-analysis, from which 11 influencing factors of work alienation were identified. The pooled score for work alienation among nurses in China was 34.79 (95%CI: 32.56, 37.01). Subgroup analysis revealed that the emergency department reported the highest score (36.81, 95%CI: 31.64, 41.98), followed by the intensive care unit (34.99, 95%CI: 32.27, 37.72) and internal medicine department (33.90, 95%CI: 29.10, 38.71). Significant factors influencing work alienation included length of work experience [standardized mean difference (SMD)=0.32, 95%CI: 0.02, 0.61], professional title (SMD=0.30, 95%CI: 0.16, 0.44), monthly income (SMD=0.38, 95%CI: 0.14, 0.62), psychological capital (SMD=–0.41, 95%CI:–0.52, –0.29), work stress (SMD=0.54, 95%CI: 0.49, 0.58), attitude toward aggression and violence management (SMD=–0.38, 95%CI:–0.44, –0.32), and organizational climate (SMD=–0.47, 95%CI: –0.57, –0.36) (P <0.05). Sensitivity analysis confirmed the robustness of the meta-analysis results, and no significant publication bias was detected. Conclusion Nurses in China exhibit a high level of work alienation, particularly in high-acuity settings like emergency and intensive care unit departments compared to general departments. Shorter work experience (<5 years), lower professional title, lower monthly income (<5 000 CNY), and greater work stress are positively correlated with work alienation. In contrast, psychological capital, proactive attitudes toward managing aggression and violence, and a supportive organizational climate are negatively correlated. These findings indicate a need for nursing managers to develop targeted strategies based on these multifaceted factors to mitigate alienation among nursing staff.

OBJECTIVE To establish the high-performance liquid chromatography （HPLC） fingerprint of Sagina japonica ， and to establish a quantitative analysis of multi-components by single-marker （QAMS） method for simultaneous determination of six componen ts in S. japonica ， aiming to provide references for the quality control of this medicinal herb. METHODS HPLC method was used to establish the fingerprints of 12 batches （No. S1-S12） of S . japonica according to Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine . The similarity evaluation and identification of common peaks were conducted， followed by cluster analysis （CA） and principal component analysis （PCA） for 12 batches of samples. Using vicenin-2 as internal reference， the contents of p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were determined by QAMS method. The results were then compared with those obtained by the external standard method. RESULTS The similarities of HPLC fingerprints for 12 batches of S . japonica ranged from 0.828-0.998. A total of 17 common peaks were calibrated， and 6 common peaks were identified. Specifically， peak 5 was identified as vicenin-2， peak 7 as p-hydroxycinnamic acid， peak 10 as apigenin-6-C-arabinoside-8-C-glucoside， peak 11 as isoorientin， peak 13 as vitexin， and peak 15 as 20-hydroxyecdysone. The results of CA showed that S1-S5， S7 and S9-S11 were clustered into one category， S6 was clustered into one category， and S8 and S12 were clustered into one category. The results of PCA revealed that the accumulative contribution rate of the four main components was 89.430%. The content ranges measured by QAMS method for p-hydroxy cinnamic acid， apigenin-6-C-arabinoside-8-C-glucoside， isoorientin， vitexin and 20-hydroxyecdysone were 0.017 4-0.269 4， 0.568 8-4.240 3， 0.503 2-5.040 3， 0.024 0-0.132 0 and 2.551 3-4.881 1 mg/g， respectively. There was no significant difference in the contents of components measured between QAMS method and the external standard method （ P ＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS method can be used for quality evaluation and quality control of S . japonica.