Myofascial trigger points， as hyperirritable spots within taut bands of skeletal muscle， can induce local or referred pain， and show a high degree of similarity to acupoints in traditional Chinese medicine （TCM）， particularly the so-called sinew knot lesion point. From the perspective of channel sinew theory， and by examining the correlations of myofascial trigger points with acupoints and channel sinew disorders， this study aims to compare the similarities and differences between MTrPs and sinew knot lesion points in terms of pathological mechanisms， needling analgesic mechanisms， and therapeutic approaches. The goal is to deepen the understanding of MTrPs and dry needling， and provide a modern scientific perspective on channel sinew theory and the sinew knot lesion point.

Myofascial trigger points， as hyperirritable spots within taut bands of skeletal muscle， can induce local or referred pain， and show a high degree of similarity to acupoints in traditional Chinese medicine （TCM）， particularly the so-called sinew knot lesion point. From the perspective of channel sinew theory， and by examining the correlations of myofascial trigger points with acupoints and channel sinew disorders， this study aims to compare the similarities and differences between MTrPs and sinew knot lesion points in terms of pathological mechanisms， needling analgesic mechanisms， and therapeutic approaches. The goal is to deepen the understanding of MTrPs and dry needling， and provide a modern scientific perspective on channel sinew theory and the sinew knot lesion point.

Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.

Objective To evaluate the performance of models constructed based on demographic infor-mation and tumor characteristics for predicting distant metastasis in gastric adenocarcinoma patients.Methods Data of 7 788 gastric adenocarcinoma patients from the Surveillance,Epidemiology,and End Results(SEER)database(2001-2021)were collected as the training set,and clinical data of 259 gastric adenocarci-noma patients from Nanchong Jialing District People's Hospital(January 2019 to October 2024)were collect-ed as the test set.Four machine learning algorithms were used to construct a risk prediction model for distant metastasis of gastric adenocarcinoma,and multivariate logistic regression was used to analyze the influencing factors of distant metastasis in patients with gastric adenocarcinoma.Results Distant metastasis was present in 801 cases(10.3%)in the training set and 25 cases(9.7%)in the test set.Multivariate logistic regression analysis showed that high differentiation,advanced T stage,and higher log odds of positive lymph nodes(LODDS)were risk factors for distant metastasis(P<0.05),while older age,primary tumor site at the gas-troesophageal junction,and higher total number of lymph nodes examined were protective factors(P<0.05).Validation on the test set using the four models showed that the predictive ability of the random forest model was superior to that of logistic regression,K-nearest neighbors(KNN),and support vector machine(SVM).The predictive ability of SVM was better than that of logistic regression and KNN,while logistic regression and KNN showed comparable performance.Delong's test showed that the predictive performance of the ran-dom forest model was superior to that of logistic regression,KNN,and SVM.Calibration curve analysis showed that the predictive accuracy of the random forest model was superior to that of logistic regression,KNN,and SVM.The top five important factors in the random forest model were negative lymph node count,tumor size,metastatic lymph node count,T stage and age.Conclusion The risk prediction model for distant metastasis in gastric adenocarcinoma constructed using the random forest algorithm demonstrats optimal per-formance.

Objective:To investigate the value of 24 h urinary aldosterone(24 h-UAC) measurement by liquid chromatography-tandem mass spectrometry(LC-MS/MS) in the subtype classification of primary aldosteronism(PA).Methods:A total of 86 patients with PA, including 51 with unilateral primary aldosteronism(UPA) and 35 with bilateral primary aldosteronism(BPA), were enrolled in the Department of Endocrinology and Metabolism at West China Hospital between January 2018 and December 2022. Plasma aldosterone concentration(PAC), plasma renin concentration(PRC) and 24 h-UAC were measured by LC-MS/MS. 24-hour urinary electrolytes and 24-hour urinary creatinine(24 h-UCR) were also measured. The diagnostic value of 24 h-UAC in PA subtype classification was evaluated using receiver operating characteristic(ROC) curve analysis. Multivariate logistic regression analysis was conducted with PA subtypes as the dependent variable(UPA=1, BPA=0) to establish a diagnostic model for differentiating unilateral from bilateral lesions, and its performance was compared with published Chinese classification models. Results:There were no statistical differences between the UPA and BPA groups in terms of age, gender, BMI, systolic and diastolic blood pressure, 24 h urinary potassium, sodium, chloride, 24 h-UCR and PRC( P<0.05). The lowest plasma potassium level was significantly lower in the UPA group than in the BPA group, while PAC, 24 h-UAC, aldosterone-renin ratio(ARR), and 24 h-UAC/UCR were significantly higher( P<0.05). The detection rate of typical adenomas on imaging also showed a significant difference between the two groups( P<0.05). The area under the ROC curve(AUC) of 24 h-UAC for differentiating UPA from BPA was 0.829(95% CI 0.733-0.902), with an optimal cut-off value of 15.4 μg/24 h, yielding a sensitivity of 68.63% and a specificity of 88.57%( P<0.001). At a cut-off value of 24.5 μg/24 h, specificity reached 100%, with a sensitivity of 27.45%. Multivariate analysis indicated that a combined model incorporating 24 h-UAC, the lowest plasma potassium level, and imaging findings of typical adenomas significantly improved diagnostic accuracy for PA subtyping, achieving a specificity of 91.43%. Compared with the existing Chinese modified Küpers scoring model and CONPASS prediction model, this model demonstrated higher diagnostic efficiency, a lower missed diagnosis rate, and a misdiagnosis rate intermediate between the two. Conclusion:The 24 h-UAC in UPA patients is significantly higher than in BPA patients, making it a valuable marker for PA subtype classification. A predictive model combining 24 h-UAC, the lowest plasma potassium level, and imaging evidence of typical adenomas demonstrated high diagnostic accuracy for PA subtype classification and may provide valuable guidance for clinical decision-making.

Butylated hydroxytoluene (BHT) is a synthetic phenolic antioxidant widely used in food additives, pharmaceuticals, personal care products, and other industries. It has been frequently detected in various environmental media, including oceans, soils, and the atmosphere. Human exposure to BHT can occur through multiple routes, and it has the potential to accumulate in the body while being readily transformed into several metabolites that are often more toxic than the parent compound. In recent years, numerous studies have investigated the levels of BHT and its metabolites in human populations and their potential health risks. Most current research on BHT exposure and its metabolites has focused on vulnerable groups such as pregnant women and children. These compounds have been detected in various biological samples—including human serum, urine, cerebrospinal fluid, and placenta—with relatively high frequencies.The metabolites of BHT demonstrate greater toxicity than BHT itself and have been implicated in pathological processes such as diminished ovarian reserve and miscarriage. Potential mechanisms include endocrine disruption, oxidative stress, and DNA damage. This article reviews current research on human exposure to BHT and its metabolites, as well as their potential health effects, aiming to provide a scientific basis for establishing usage standards and assessing health risks associated with BHT.

Objective To construct a nursing follow-up checklist for patients undergoing autologous hematopoietic stem cell transplantation,providing a basis for postoperative follow-up care.Methods Using evidence-based methods,the literature from major guide websites and databases using Chinese and English search terms was retrieved,and their quality was evaluated.The relevant items were extracted,and a first draft was formed.15 experts were selected in relevant fields from 14 tertiary hospitals in 13 provinces,cities,and autonomous regions across the country for Delphi inquiry.The nursing follow-up checklist was revised again based on expert opinions and clinical practice.The nursing follow-up checklist was initially applied and then revised again to form the final draft.Results 15 experts include 12 undergraduate and 3 master's degree holders.The positivity coefficients of the 2 rounds of inquiry were 100％;the authority coefficients of the experts were 0.815;the Kendall coefficients were 0.119 and 0.144,respectively;the differences were statistically significant(P＜0.001).The final nursing follow-up checklist was formed,which includes 6 primary indicators,including physiological status,psychological status,social and family support,living conditions,disease knowledge,and laboratory tests.19 patients(95％)found the follow-up content to be comprehensive.The follow-up nurses's satisfaction rate exceeded 85％.There were 27 secondary indicators and 61 tertiary indicators,with coefficients of variation of all indicators less than 0.25.Conclusion The nursing follow-up checklist is scientific,reliable,and practical,which can provide a basis for clinical nursing staff to follow up and comprehensively manage patients after autologous hematopoietic stem cell transplantation.

Objective To explore the applications and effects of professional training-based peer support on self-management of women with gestational diabetes mellitus.Methods A total of 96 patients diagnosed with gestational diabetes mellitus in a tertiary A-level women's hospital in Nanjing from March to June 2023 were conveniently selected as the research subjects,among which 48 patients with gestational diabetes mellitus diagnosed from May to June 2023 were divided into an experimental group,and 48 patients with gestational diabetes mellitus diagnosed from March to April 2023 were included into a control group.The experimental group received professional training-based peer support based on routine nursing,and the control group received routine nursing.The status of self-management,health literacy,quality of life and blood glucose in 2 groups were compared and analyzed.Results 45 patients in the experimental group and 48 patients in the control group completed the study.After intervention,the Self-Management Scale score of the experimental group was(115.11±9.48),which was higher than(78.46±6.27)of the control group;the score of Health Literacy Scale was(145.38±5.22),higher than(92.19±5.75)of the control group;the Quality of Life Scale score was(79.47±4.11),higher than(60.85±2.80)of the control group;the fasting blood glucose concentration and two-hour postprandial glucose concentration in the experimental group were lower than those in the control group,and the difference between 2 groups was statistically significant(P＜0.001).Conclusion Nursing intervention of the professional training-based peer support can effectively improve the levels of self-management,health literacy and quality of life,as well as reduce concentration of blood glucose.

Uterine arteriovenous fistula (UAVF), a relatively rare vascular anomaly, may lead to life-threatening hemorrhage and poses diagnostic and management challenges for primary hospitals during initial encounters. This article reports four cases of UAVF treated with Drospirenone and ethinyl estradiol tablets at Department of Gynaecology, Zhuji Maternal and Child Health Hospital between 2023 and 2024. Combined with literature review, we systematically analyzed the etiological mechanisms, clinical characteristics, and diagnostic-therapeutic strategies of this condition, with particular focus on evaluating the efficacy and safety of conservative pharmacological management. By summarizing case features and individualized treatment protocols, this study aims to provide clinical references for early identification, accurate diagnosis, and rational intervention of UAVF, thereby reducing risks of massive hemorrhage and long-term complications while improving patient prognosis.

Objective:To analyze the current situation of health-related quality of life (HRQOL) and its influencing factors among community-dwelling elderly with mild cognitive impairment (MCI) based on the health ecology model (HEM).Methods:From December 2023 to September 2024, a cross-sectional survey was conducted among 997 community-dwelling elderly in Beijing, Shandong, Chongqing and other regions. The EuroQol five-dimensional questionnaire 5 level (EQ-5D-5L), the Montreal cognitive assessment (MoCA), and the Pittsburgh sleep quality index (PSQI) were used to assess the subjects.Descriptive analysis, Mann-Whitney U test, Kruskal-Wallis test, and Tobit regression analysis were performed using Stata 18.0 software. Results:A total of 324 valid samples were finally obtained, and the health utility value of MCI elderly was 0.842(0.815, 0.951). Tobit regression analysis showed that ≥80 years old( β=-0.121, 95% CI=-0.193--0.050) in individual traits level, don't exercise( β=-0.196, 95% CI=-0.255--0.137) and poor quality of sleep ( β=-0.064, 95% CI=-0.116--0.013) in behavior characteristics level, and poor subjective economic status( β=-0.153, 95% CI=-0.261--0.045) in living and working conditions level were risk factors for the health utility value of the elderly with MCI. Drinking( β=0.096, 95% CI=0.022-0.171) in behavior characteristics level and participating in social activities( β=0.126, 95% CI=0.062-0.190) in interpersonal network level were protective factors for the health utility value of the elderly with MCI. Conclusions:The HRQOL of the community-dwelling elderly with MCI in China is low, and its influencing factors are multi-level. HEM should be combined to strengthen the intervention and management of the elderly with MCI from personal constitution to policy environment to improve their HRQOL.