1.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
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. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
2.Epidemiological characteristics and disease burden of liver cancer in Guangdong Province
Ying ZHANG ; Yixuan CHEN ; Rong CAO ; Yue GAO ; Yutong HAN ; Ye WANG ; Ruilin MENG ; Xueyan ZHENG ; Yu LIAO ; Zhuanping ZENG
Journal of Public Health and Preventive Medicine 2026;37(1):68-72
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.
3.Epidemiological characteristics and spatial clustering analysis of varicella in Changzhou
Yao ZHANG ; Changlei HAN ; Jie TAN
Journal of Public Health and Preventive Medicine 2026;37(1):73-77
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 ( χ2trend=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.
4.Study on medication adherence factors among patients with severe mental disorders in Zhuhai city based on XGBoost model
Zhongshu YE ; Yongyong TENG ; Jingju QUAN ; Yajun SUN ; Jiaju HUANG ; Yixuan WU ; Changlin HAN ; Guangchuan ZHANG
Sichuan Mental Health 2026;39(1):36-43
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)]
5.Advances in perioperative nutritional management for patients with esophageal cancer
Zuyu ZHANG ; Bo YANG ; Rong NIU ; Jijun XUE ; Jian CHEN ; Dong LI ; Wentao ZHAO ; Wenfeng HAN ; Yue BAI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(01):157-162
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.
6.QingNangTCM: a parameter-efficient fine-tuning large language model for traditional Chinese medicine
Xuming TONG ; Liyan LIU ; Yanhong YUAN ; Xiaozheng DING ; Huiru JIA ; Xu YANG ; Sio Kei IM ; Mini Han WANG ; Zhang XIONH ; Yapeng WANG
Digital Chinese Medicine 2026;9(1):1-12
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.
7.Effect of remote ischemic preconditioning on preoperative heart rate variability in patients undergoing heart valve surgery: A randomized controlled trial
Zhipeng GUO ; Jian ZHANG ; Qiaoli WAN ; Fengyan SHI ; Rui LI ; Zongtao YIN ; Jinsong HAN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):592-596
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.
8.Risk factors for open gingival embrasures in the mandibular central incisor region among adult non-extraction patients treated with clear aligner therapy
WEI Xiaojiao ; HAN Shuang ; TANG Chenxin ; ZHANG Hao
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(1):54-64
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.
9.Association between types of obesity and atherosclerotic cardiovascular disease risk among hypertensive patients
GUO Yanqiang ; ZHANG Li ; ZHANG Lan ; HAN Rongrong
Journal of Preventive Medicine 2026;38(1):36-42
Objective:
To explore the association between types of obesity and 10-year risk of atherosclerotic cardiovascular disease (ASCVD) among hypertensive patients, so as to provide the basis for formulating ASCVD prevention strategies for hypertensive patients.
Methods:
From January to December 2021, hypertensive patients who were under follow-up management and completed health examinations at three community health service centers in Linping District, Hangzhou City were selected by a cluster sampling method. Basic information, lifestyle, disease history, height, weight, waist circumference (WC), and blood biochemical indicators were collected through health examination data. Based on assessments of body mass index (BMI) and WC, participants were categorized into four types: non-obese, general obesity only, central obesity only, and combined obesity. The Prediction for ASCVD risk in China (China-PAR) was used to assess 10-year ASCVD risk, which was categorized as low, moderate, and high risk. Multivariable logistic regression models were used to analyze the association between different types of obesity and ASCVD risk among hypertensive patients.
Results:
A total of 10 408 hypertensive patients were included, with a median age of 68.00 (interquartile range, 10.00) years. There were 4 301 (41.32%) males and 6 107 (58.68%) females. The proportions of non-obese, general obesity only, central obesity only, and combined obesity were 34.93% (3 635 individuals), 22.85% (2 378 individuals), 4.32% (450 individuals), and 37.90% (3 945 individuals), respectively. There were 3 389 (33.52%) cases at high risk of ASCVD. Among them, high ASCVD risk was observed in 1 107 (30.45%), 896 (37.68%), 122 (27.11%), and 1 364 (34.58%) patients with non-obese, general obesity only, central obesity only, and combined obesity, respectively. Multivariable logistic regression analysis showed that after adjusting for gender, age, smoking, drinking, physical activity, and diabetes, the risk of high ASCVD in hypertensive patients with general obesity only and combined obesity was 1.383 times (95%CI: 1.235-1.548) and 1.225 times (95%CI: 1.109-1.354) that of non-obese hypertensive patients, respectively.
Conclusions
General obesity only and combined obesity can increase the 10-year high risk of ASCVD among hypertensive patients. It is necessary to strengthen comprehensive management of body weight and WC among hypertensive patients to reduce the risk of ASCVD.
10.Identification of Chemical Constituents of Painong Powder and Constituents Absorbed into Blood by UHPLC-Q-Orbitrap-MS
Han SUN ; Hongsu ZHAO ; Zihua XUAN ; Jinwei QIAO ; Fangfang ZHANG ; Manqin YANG ; Shuangying GUI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):256-263
ObjectiveTo study the chemical constituents of Painong powder and the constituents absorbed into blood after oral administration to rats by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry (UPLC-Q-Orbitrap-MS). MethodsUPLC-Q-Orbitrap-MS was employed for mass spectrometry data acquisition. The chemical constituents of Painong Powder and the constituents absorbed into blood were characterized and identified via Xcalibur 4.2 and Compound Discoverer v3.3.1 (CD) based on retention time, accurate molecular weights, secondary fragmentation ions, and comparison with reference standards and literature reports. ResultsA total of 176 chemical compounds, including 56 flavonoids, 42 triterpenoid saponins, 23 monoterpenes, 7 coumarins, 5 tannins, and other 43 compounds were identified from Painong powder. 49 components were identified in the rat plasma after oral administration of Painong powder, including 33 prototype constituents and 16 metabolites. The major metabolic pathways included hydrolysis in phase Ⅰ metabolic reactions, as well as methylation, sulfation, and glucuronidation in phase Ⅱ metabolic reaction. ConclusionThe method comprehensively identified the chemical constituents of Painong powder both in vitro and in vivo, and may provide a reference for the study of quality control and clinical applications.


Result Analysis
Print
Save
E-mail