Objective In order to investigate the patients'medical experiences,willingness to use online diagnosis and treatment in the context of"Internet+medical health",and the factors influencing these choice of medical channels.Methods We conducted an online and offline sampling survey through a questionnaire.1 215 questionnaires were distributed,and 1 010 were valid.After looking at the basic details of the survey participants,we used a logistic regression model to find out what affects patients'willingness to see a doctor online.Results Whether patients have solved their own problem,and the degree of help on the Internet play a significant role in the willingness to recommend Internet diagnosis and treatment.In addition,with the de-crease of age,the improvement of education level,the increase of economic development level of the city where the respondents live,and the decrease of medical expenditure in the past year,residents'willingness to use Internet diagnosis and treatment will show a gradually increasing trend.Conclusion Internet diagnosis and treatment in the future still need to further meet the needs of multi-group medical services,improve and perfect service quality and medical insurance management,to achieve"full node"coverage,"full chain"supervision.

Objective To investigate the effects of imatinib mesylate and sunitinib malate on the migration and invasion of gastroin-testinal stromal tumor(GIST)cells.Methods After identifying primary-cultured GIST cells,their morphology was characterized using atomic force microscopy(AFM).Changes in the expression of genes related to the PI3K/AKT signaling pathway were analyzed using quan-titative real-time PCR following drug treatments.Changes in the binding of related molecules were detected using AFM,and alterations in cell migration,invasive ability,and apoptosis were determined using scratch assay,Transwell assay,and flow cytometry,respectively.Results AFM imaging showed that pseudopods were flatly spread around the GIST cells,indicating characteristics consistent with easy metastasis.Administration of either imatinib or sunitinib significantly reduced the expression of genes related to the PI3K/AKT signaling pathway,the density of epidermal growth factor receptor(EGFR)on the surface of GIST cells,and molecular binding force with EGF.These changes were more pronounced with the combination treatment.Correspondingly,the invasive and migratory abilities of GIST cells were significantly reduced when either drug was administered alone and the inhibitory effect was more significant when the drugs were combined.Conclusion Both imatinib and sunitinib can significantly inhibit the expression of genes related to the PI3K/AKT signaling pathway,reduce the density of EGFR on the surface of GIST cells,and attenuate their molecular binding to EGF,thereby reducing the migration and invasion of GIST cells.However,the combination of these two drugs has a more significant effect.

Objective:To explore the efficacy of the features of ultrasound imaging omics at the area peripheral thyroid nodule in predicting cervical lymph node metastasis(LNM)of papillary thyroid carcinoma(PTC),and construct a prediction model based on the features of imaging omics and to verify its performance.Methods:A total of 237 PTC patients who admitted to Shaanxi Provincial Hospital of Chinese Medicine from March 2021 to June 2024 and were confirmed by pathology were retrospectively collected.They were divided into the training set(166 cases)and the validation set(71 cases)as a ratio of 7 to 3.According to the postoperatively pathological results,237 patients were divided into the metastasis group(108 cases)and the non-metastasis group(129 cases).The clinical data and conventional ultrasound characteristic information of all patients were collected,and a feature model of imaging omics was constructed through quantitative extracting and screening the features of ultrasound imaging omics within nodules and peripheral nodules,and utilizing machine learning classifier.Then,the feature score(Rad-Score)of image omics was obtained.The Rad-Score values within and peripheral nodules,and the Rad-Score values peripheral nodules of metastasis group and non-metastasis group were compared.In training set,the independent risk factors of affecting neck LNM were analyzed,and a clinical-ultrasonic model was constructed,which was combined with Rad-Score to construct a joint model based on the features of imaging omics peripheral nodules.The receiver operating characteristic(ROC)curve was used to analyze and compare its predictive efficacy.The nomogram of the joint model was constructed,and then,the calibration and fitting degrees of the nomogram were assessed by calibration curve and Hosmer-Lemeshow test.Result:In training set,6 features of imaging omics within nodules and 11 features of imaging omics peripheral nodules were respectively extracted and screened out through the least absolute shrinkage and selection operator(LASSO)algorithm.In the training set and validation set,the Rad-Scores peripheral the nodules in the metastasis group were respectively(7.43±0.45)points and(7.19±0.51)points,which were significantly higher than(3.25±0.28)points and(3.51±0.32)points peripheral the nodules in the non-metastasis group,and the differences were statistically significant(t=72.708,61.222,P<0.05).The results of factor analysis showed that age,capsule invasion,microcalcification,ultrasound-indicated lymph node positivity and Rad-Score around nodules were independent risk factors of affecting cervical LNM of PTC patients(OR=0.592,2.983,3.593,4.424,2.575,P<0.05).The ROC curve showed that the area under curve(AUC)values of the ROC curve of joint model in training set and validation set were respectively 0.861 and 0.872 in predicting LNM,respectively,which were superior to 0.759 and 0.783 of the clinical-ultrasound model.Conclusion:In both the training set and the validation set,the nomogram of joint model has favorable calibration and fitting in predicting cervical LNM of PTC patients.The construction of clinical model based on the features of ultrasound imaging omics peripheral nodules has a favorable efficacy in predicting the status of cervical lymph node of PTC patients before surgery,which is expected to be an effective tool of individual prediction for LNM.

Objective In order to investigate the patients'medical experiences,willingness to use online diagnosis and treatment in the context of"Internet+medical health",and the factors influencing these choice of medical channels.Methods We conducted an online and offline sampling survey through a questionnaire.1 215 questionnaires were distributed,and 1 010 were valid.After looking at the basic details of the survey participants,we used a logistic regression model to find out what affects patients'willingness to see a doctor online.Results Whether patients have solved their own problem,and the degree of help on the Internet play a significant role in the willingness to recommend Internet diagnosis and treatment.In addition,with the de-crease of age,the improvement of education level,the increase of economic development level of the city where the respondents live,and the decrease of medical expenditure in the past year,residents'willingness to use Internet diagnosis and treatment will show a gradually increasing trend.Conclusion Internet diagnosis and treatment in the future still need to further meet the needs of multi-group medical services,improve and perfect service quality and medical insurance management,to achieve"full node"coverage,"full chain"supervision.

Objective:To explore the efficacy of the features of ultrasound imaging omics at the area peripheral thyroid nodule in predicting cervical lymph node metastasis(LNM)of papillary thyroid carcinoma(PTC),and construct a prediction model based on the features of imaging omics and to verify its performance.Methods:A total of 237 PTC patients who admitted to Shaanxi Provincial Hospital of Chinese Medicine from March 2021 to June 2024 and were confirmed by pathology were retrospectively collected.They were divided into the training set(166 cases)and the validation set(71 cases)as a ratio of 7 to 3.According to the postoperatively pathological results,237 patients were divided into the metastasis group(108 cases)and the non-metastasis group(129 cases).The clinical data and conventional ultrasound characteristic information of all patients were collected,and a feature model of imaging omics was constructed through quantitative extracting and screening the features of ultrasound imaging omics within nodules and peripheral nodules,and utilizing machine learning classifier.Then,the feature score(Rad-Score)of image omics was obtained.The Rad-Score values within and peripheral nodules,and the Rad-Score values peripheral nodules of metastasis group and non-metastasis group were compared.In training set,the independent risk factors of affecting neck LNM were analyzed,and a clinical-ultrasonic model was constructed,which was combined with Rad-Score to construct a joint model based on the features of imaging omics peripheral nodules.The receiver operating characteristic(ROC)curve was used to analyze and compare its predictive efficacy.The nomogram of the joint model was constructed,and then,the calibration and fitting degrees of the nomogram were assessed by calibration curve and Hosmer-Lemeshow test.Result:In training set,6 features of imaging omics within nodules and 11 features of imaging omics peripheral nodules were respectively extracted and screened out through the least absolute shrinkage and selection operator(LASSO)algorithm.In the training set and validation set,the Rad-Scores peripheral the nodules in the metastasis group were respectively(7.43±0.45)points and(7.19±0.51)points,which were significantly higher than(3.25±0.28)points and(3.51±0.32)points peripheral the nodules in the non-metastasis group,and the differences were statistically significant(t=72.708,61.222,P<0.05).The results of factor analysis showed that age,capsule invasion,microcalcification,ultrasound-indicated lymph node positivity and Rad-Score around nodules were independent risk factors of affecting cervical LNM of PTC patients(OR=0.592,2.983,3.593,4.424,2.575,P<0.05).The ROC curve showed that the area under curve(AUC)values of the ROC curve of joint model in training set and validation set were respectively 0.861 and 0.872 in predicting LNM,respectively,which were superior to 0.759 and 0.783 of the clinical-ultrasound model.Conclusion:In both the training set and the validation set,the nomogram of joint model has favorable calibration and fitting in predicting cervical LNM of PTC patients.The construction of clinical model based on the features of ultrasound imaging omics peripheral nodules has a favorable efficacy in predicting the status of cervical lymph node of PTC patients before surgery,which is expected to be an effective tool of individual prediction for LNM.

Objective To investigate the effects of imatinib mesylate and sunitinib malate on the migration and invasion of gastroin-testinal stromal tumor(GIST)cells.Methods After identifying primary-cultured GIST cells,their morphology was characterized using atomic force microscopy(AFM).Changes in the expression of genes related to the PI3K/AKT signaling pathway were analyzed using quan-titative real-time PCR following drug treatments.Changes in the binding of related molecules were detected using AFM,and alterations in cell migration,invasive ability,and apoptosis were determined using scratch assay,Transwell assay,and flow cytometry,respectively.Results AFM imaging showed that pseudopods were flatly spread around the GIST cells,indicating characteristics consistent with easy metastasis.Administration of either imatinib or sunitinib significantly reduced the expression of genes related to the PI3K/AKT signaling pathway,the density of epidermal growth factor receptor(EGFR)on the surface of GIST cells,and molecular binding force with EGF.These changes were more pronounced with the combination treatment.Correspondingly,the invasive and migratory abilities of GIST cells were significantly reduced when either drug was administered alone and the inhibitory effect was more significant when the drugs were combined.Conclusion Both imatinib and sunitinib can significantly inhibit the expression of genes related to the PI3K/AKT signaling pathway,reduce the density of EGFR on the surface of GIST cells,and attenuate their molecular binding to EGF,thereby reducing the migration and invasion of GIST cells.However,the combination of these two drugs has a more significant effect.

OBJECTIVE To provide evidence for the safe clinical application of Trastuzumab for injection. METHODS Reports of adverse drug reaction （ADR） related to Trastuzumab for injection submitted in Beijing from June 2018 to May 2023 were collected. Statistical analyses were performed using SPSS 25.0 software. The gender and age of patients with ADRs， outcome， types of cancer， and the time of onset， severity， affected organs/systems of ADRs were included for analyses. The univariate Logistic regression analysis was conducted on patient fever and ADR prognosis. RESULTS A total of 195 patients with 318 instances of ADRs were included in the study. Women （87.69%） and patients aged 60-69 （33.85%） were more likely to experience ADRs. Breast cancer dominated （86.67%） in terms of cancer types； in terms of outcomes， most patients （67.69%） showed improvement， and some patients （27.69%） achieved full recovery. Overall， 68.72% of ADRs mainly occurred on the day of medication， and 95.38% of ADRs were of “moderate” severity. The most affected organs/systems were general diseases and various reactions at the administration site （40.57%）， with chills （18.87%） and fever （18.24%） being the most common. Univariate Logistic regression analysis showed that fever mostly occurred within 1 day of medication （OR＝5.63， 95%CI was 2.26-14.02， P＜ 0.001）. The time of onset of ADR greater than 1 day was a risk factor for poor ADR prognosis （OR＝20.08， 95%CI was 2.45- 164.43， P＝0.005）， mainly manifesting as bone marrow suppression and liver function abnormalities. Neutrophilia， cardiorespiratory arrest， and mixed liver damage were new ADRs not recorded in the drug’s instructions. CONCLUSION Women and patients aged ≥60 are high-risk groups for ADRs of Trastuzumab for injection. Chills and fever remain the most common ADRs of this drug， and these symptoms mostly occur within 1 day of medication， which have better prognoses. Close attention should be paid to the patient’s temperature changes on the day of drug infusion， with timely intervention. Regular monitoring of the patient’s hematological indicators is necessary to detect any bone marrow suppression and liver function abnormalities after medication.

Objective:To summarize the clinical features, electroencephalogram (EEG) and magnetoencephalogram (MEG) of patients with pure paroxysmal kinesigenic dyskinesia (PKD) and PKD with epilepsy, so as to better distinguish them and guide the treatments.Methods:The clinical data of 200 patients diagnosed with PKD in the Outpatient Department of Xuanwu Hospital, Capital Medical University from 2000 to 2023 were analyzed retrospectively. The patients were divided into 2 groups: pure PKD (174 cases) and PKD with epilepsy (26 cases) according to whether accompanied by epilepsy. The differences in clinical features, drug therapy, EEG and MEG were compared between the 2 groups.Results:The clinical features of the 2 groups were essentially similar, and the proportion of PKD dyskinesia induced by emotional stress in the pure PKD group (54/174, 31.03%) was higher than that in the PKD with epilepsy group (2/26, 7.69%; χ 2=5.010, P=0.025). In terms of pharmacological response, carbamazepine was the most commonly used medication in both groups, but patients with PKD with epilepsy may need a higher therapeutic dosages (0.2-0.4 g/d, and gradually increased to 0.8 g/d) to effectively manage both dyskinesia and seizures. Regarding the EEG and MEG, the proportion of EEG abnormalities was higher in PKD patients with epilepsy, mainly manifested as focal spikes [1/70(1.43%) vs 9/21(42.86%), χ 2=24.268, P<0.001], together with aberrant MEG discharge (4/18 vs 3/5, χ 2=1.155, P=0.282). The MEG dipoles were mainly distributed in the brain regions close to the frontal lobe and central region. Conclusions:The clinical manifestations of motor symptoms of pure PKD and PKD with epilepsy are similar, and carbamazepine remains the most effective treatment. PKD patients with epilepsy have a higher proportion of abnormal EEG, mainly manifested as focal spikes, and are more likely to show abnormal discharge of MEG, which could be used to distinguish them.

Objective To develop Pregnant Women Weight Self-Management Scale and test its reliability and validity.Methods Based on the concepts and theories of self-management,the first draft of the scale was formed through literature analysis,semi-structured interviews,2 rounds of Delphi expert correspondence and pre-surveys.The scale was used to test the reliability and validity of the scale by facilitating the selection of 300 pregnant women who gave birth in April 18-23 2023 at a maternal and child healthcare hospital in Ningxia Hui Autonomous Region.Results The Pregnant Women Weight Self-Management Scale consisted of 8 dimensions and 38 entries with a cumulative variance contribution of 68.560％.The Cronbach's alpha coefficient for the total scale was 0.944,and each dimension ranged from 0.772 to 0.929.The split-half reliability for the total was 0.858,and each dimension ranged from 0.715 to 0.902.The content validity index at the level of the total scale was 0.921,and at the level of each entry was from 0.833 to 1.000.There was a positive correlation between the dimensions and with the total scale score(r=0.178～0.854,P＜0.001).Conclusion The scale has good reliability and validity,and it can be used as a tool to evaluate the self-management ability of pregnant women.

Objective:To screen the factors influencing overall survival (OS) of patients undergoing radical resection for colorectal cancer (CRC) and to construct a prognostic model for OS of patients after CRC.Methods:The clinical data of 350 patients with stage Ⅰ-Ⅳ CRC who underwent radical resection in the People's Hospital of Wuhan University from March 2017 to December 2019 were collected retrospectively. Patients were divided into subgroups 0 ( n=70), 1 ( n=172), and 2 ( n=108) according to different preoperative systemic inflammation score (SIS). The relationship between different SIS, neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), systemic immune inflammation index (SII) and prognosis of CRC patients undergoing radical surgical resection were analyzed, and Cox regression models were used to perform univariate and multifactorial analyses of factors affecting patient prognosis, and column line graph models were constructed based on the results of multifactorial analyses. Results:By the deadline of follow-up, 80 of 350 CRC patients died, and the 5-year OS rate was 77.14%. The 5-year survival rates of patients in SIS group 0, group 1 and group 2 were 95.71%, 79.65% and 61.11% respectively, with a statistically significant difference ( χ2=30.19, P<0.001). Statistically significant differences in age ( χ2=19.40, P<0.001), tumor site ( χ2=8.18, P=0.017), T stage ( χ2=10.01, P=0.007), TNM stage ( χ2=14.80, P=0.001), tumor diameter ( χ2=13.91, P=0.001) and carcino-embryonic antigen (CEA) level ( χ2=10.12, P=0.006) among patients in SIS group 0, group 1 and group 2. The 5-year OS rates of patients in the low NLR and high NLR groups were 82.67% and 56.16% respectively, with a statistically significant difference ( χ2=24.96, P<0.001) ; the 5-year OS rates of patients in the low LMR and high LMR groups were 66.85% and 88.17% respectively, with a statistically significant difference ( χ2=22.45, P<0.001) ; the 5-year OS rates of patients in the low SII and high SII groups were 86.14% and 69.02% respectively, with a statistically significant difference ( χ2=14.76, P<0.001). Univariate analysis showed that age ( HR=2.58, 95% CI: 1.54-4.32, P<0.001), T stage ( HR=2.41, 95% CI: 1.24-4.68, P=0.009), N stage ( HR=3.03, 95% CI: 1.85-4.94, P<0.001), TNM stage ( HR=3.61, 95% CI: 2.15-6.04, P<0.001), nerve invasion ( HR=1.97, 95% CI: 1.27-3.08, P=0.002), vascular invasion ( HR=2.31, 95% CI: 1.49-3.59, P<0.001), preoperative SIS 1 score ( HR=5.09, 95% CI: 1.57-16.56, P=0.007), SIS 2 score ( HR=11.05, 95% CI: 3.42-35.65, P<0.001), NLR ( HR=2.97, 95% CI: 1.90-4.64, P<0.001), LMR ( HR=0.31, 95% CI: 0.19-0.52, P<0.001), and SII ( HR=2.50, 95% CI: 1.54-4.06, P<0.001) were all independent influence factors affecting the postoperative prognosis of CRC patients undergoing radical surgical resection; multivariate analysis showed that age >60 years ( HR=2.27, 95% CI: 1.31-3.91, P=0.003), TNM stage Ⅲ-Ⅳ ( HR=7.08, 95% CI: 1.89-26.59, P=0.004), and preoperative SIS 2 score ( HR=4.02, 95% CI: 1.09-14.83, P=0.037) were all independent risk factors affecting the postoperative prognosis of CRC patients undergoing radical surgical resection. The nomogram model built based on the screened variables has high prediction accuracy: the C-index of the nomogram was 0.75. Conclusion:Age>60 years old, TNM stage Ⅲ-Ⅳ, SIS 2 score are all independent risk factors for postoperative prognosis of colorectal cancer. The nomograph model constructed by this method has high prediction accuracy.