Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Bispecific antibodies （BsAbs）， as an important recent innovation in the field of tumor immunotherapy in recent years， can simultaneously or sequentially target different antigens or two different epitopes of the same antigen. Compared with traditional monoclonal antibodies， they can produce superior therapeutic effects. This article reviews the progress in clinical applications and safety research of BsAbs in cancer therapy， revealing that they （such as blinatumomab， glofitamab， teclistamab， amivantamab， etc.） exhibit significant therapeutic efficacy against hematological malignancies， lung cancer， cervical cancer， melanoma， and other cancers. For cytokine release syndrome （CRS） induced by BsAbs， prophylactic or pre-emptive medication is commonly administered in clinical practice； for neurotoxicity and infections triggered by BsAbs， clinical practice necessitates rigorous monitoring of patients’ vital signs and the provision of essential treatments. In addition， different BsAbs exhibit variations in escalation dose， infusion rate， storage duration， and equipment requirements. Therefore， strict adherence to the instructions in the drug package inserts is essential during clinical operations to ensure safety and therapeutic efficacy. In the future， more multicenter trials need to be conducted to validate the efficacy and safety of BsAbs across different tumor types and patient populations， and long-term follow-up data should be accumulated to optimize treatment cycles and dosage regimens.

Objective To analyze the correlation between inflammation,nutritional indicators and hy-poproteinemia in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD).Meth-ods The clinical data of patients with AECOPD admitted to the Department of Respiratory and Critical Care Medicine of the First Affiliated Hospital of Xiamen University from January 2020 to September 2022 were ret-rospectively analyzed,and the patients were divided into the hypoproteinemia group(n=73)and the non-hy-poproteinemia group(n=141)according to whether the serum albumin(ALB)was lower than 35 g/L.The clinical data,inflammatory indicators and nutritional indicators of the two groups were compared,Spearman correlation analysis was performed,and binary logistic regression analysis was performed to analyze the influ-encing factors of patients with AECOPD complicated with hypoproteinemia.Results There were statistically significant differences in age,length of hospital stay,and body weight between the two groups(P＜0.05).There were no significant differences in gender,number of hospitalizations in the past 1 year,height,diabetes,hypertension and proportion of coronary heart disease(P＞0.05).Compared with the non-hypoproteinemia group,the hypoproteinemia group had longer hospital stays and higher levels of C-reactive protein,neutrophil/albumin ratio(NAR),neutrophil to lymphocyte ratio(NLR),platelet-lymphocyte ratio(PLR),and systemic immunoinflammatory index(SII).The prognostic nutritional index(PNI),body mass index(BMI),hemoglo-bin and total protein levels were lower,and the difference was statistically significant(P＜0.05).Body weight,BMI,hemoglobin,total protein,PNI and AECOPD patients with hypoproteinemia were negatively cor-related(P＜0.05),while age,length of hospital stay,C-reactive protein,NAR,NLR,PLR,SII and AECOPD patients with hypoproteinemia were positively correlated(P＜0.05).Binary logistic regression analysis showed that PNI,SII and NLR were the influencing factors of hypoproteinemia in AECOPD patients.Conclusion In clinical practice,attention should be paid to and timely correction of hypoproteinemia in pa-tients with AECOPD,improvement of inflammatory indicators and nutritional status of patients,and preven-tion of acute exacerbation.

Abstract Enhancing the health literacy of the entire population is a prerequisite for improving the health of the entire population, and since the health attitudes and behaviors formed during childhood and adolescence have a profound impact on the health patterns of adulthood, the enhancement of health literacy of children and adolescents is of particular importance. As the main place for children and adolescents to receive education, schools should better fulfil the function of education and promotion of health literacy. China has been carrying out the pilot and promotion of health promoting schools (HPS) since 1995, and is currently in the stage of comprehensive improvement of HPS construction. This paper introduces the background and characteristics of Health-Literate Schools (HeLit-Schools) in foreign countries and compares them with HPS in China, drawing on the advantages of HeLit-Schools to provide a new idea and a new way of thinking for the construction of HPS in China and for the practice of the "Healthy China Initiative".

Objective:To explore the differences of gene expression profiles of precursors of exhausted T cells (Tpex) and terminal exhausted T cells (Tex) in the peripheral blood of patients with active pulmonary tuberculosis (ATB).Methods:Twenty-five cases of ATB, 13 cases of latent tuberculosis infection (LTBI) and 10 health controls were enrolled from January 2021 to October 2022 in the Fifth People′s Hospital of Wuxi. The proportions of Tpex and Tex in the peripheral blood mononuclear cells (PBMCs) of the three groups were detected by flowcytometry. PBMCs of ATB were separated into Tpex and Tex by fluorescence-activated cell sorting. RNA-sequencing was performed and up-regulated and down-regulated genes were screended. Differently expressed genes were analyzed by gene set enrichment analysis of gene ontology (GO) to find regulatory pathways affecting cell metabolism and function. Wilcoxon matched-pairs signed rank test, Kruskal-Wallis test and Dunn multiple comparsion test were used for statistical analysis.Results:The proportion of Tpex in ATB group was 2.86%(1.74%), which was lower than 7.93%(6.16%) of Tex, and the difference was statistically significant ( Z=-3.91, P<0.001). The proportions of Tpex and Tex in LTBI group were 9.47%(6.26%) and 7.43%(5.48%), respectively, and the difference was not statistically significant ( Z=-0.93, P=0.345). The proportions of Tpex and Tex in healthy control group were 8.42%(2.69%) and 6.49%(5.14%), respectively, with no statistical significance ( Z=-1.36, P=0.170). There was statistical difference of the proportion of Tpex among the three groups ( H=21.93, P<0.001), and the proportion of Tpex in ATB group was lower than those in LTBI and heathy control groups, and the differences were both statistically significant ( Z=4.16, P<0.001 and Z=3.34, P=0.003, respectively), while the proportions of Tex in these three groups were not statistically different ( H=2.17, P=0.338). Compared with Tex, the gene expressions of memory markers, such as B-cell lymphoma 2 of Tpex were up-regulated, and the gene expressions of exhausted markers, such as lymphocyte activation gene 3 were down-regulated. In terms of cellular metabolism, the gene expressions of mitochondrial protein complex, mitochondrial matrix and oxidative phosphorylation of Tpex were up-regulated, and the gene expressions of glycolysis were down-regulated. The gene expressions of pyruvate metabolism in Tex were up-regulated, and the gene expressions of CD4 + T lymphocyte activation and differentiation and glycolytic process in Tpex were down-regulated. Conclusions:Tpex in ATB express more characteristics of memory cells and less features of exhausted markers compared with Tex, and the function of mitochondria of Tpex preserves well.

Sphincter of Oddi dysfunction (SOD) refers to the abnormal physiological function of sphincter of Oddi, which causes a series of syndromes in biliary tract, pancreas and liver. At present, the related research of SOD is becoming a hot spot, but its pathogenesis is not clear. This article will review the domestic and international literatures on SOD, review the advantages and disadvantages of experimental animals such as rabbits, dogs and guinea pigs, and analyze the characteristics of drugs and surgical modeling, so as to provide references for future related model establishment.