Objective To explore the practical application effectiveness of Internet+standardized intervention modes(infection prevention+regular testing+self-directed learning+peer influence)in the comprehensive prevention and control of AIDS among men who have sex with men(MSM)and to evaluate the efficacy of integrating modern information technology with traditional standardized intervention measures against AIDS-related high-risk behaviors in MSM.Methods From September 2023 to September 2024,a total of 947 male MSM aged≥18 years who self-identified as non-heterosexual and were registered on the"Yulejian"platform,a self-built online comprehensive testing platform,were recruited through the voluntary counselling and testing(VCT)clinics of disease control departments and social organizations in Chongqing.A single-group prospective self-controlled before-after study design without a parallel control group was adopted in this study.All participants received a 6-month standardized Internet-based intervention,including targeted health education,risk assessment,HIV self-testing,pre-exposure prophylaxis(PrEP)/post-exposure prophylaxis(PEP)services,and online counselling.Core indicators,including AIDS knowledge awareness rate,sexual behavior incidence,condom use rate,drug use rate,and PEP/PrEP utilization rate were employed to evaluate the intervention efficacy on high-risk behaviors in MSM.Results After the intervention,the incidence of anal intercourse(74.2%vs 58.0%),heterosexual intercourse(32.4%vs 22.9%),and drug use(9.7%vs 4.5%)were all significantly decreased when compared with the corresponding rates before intervention(P<0.01).While,the consistent condom use rate during anal intercourse(47.4%vs 66.9%),awareness of sexual partners'HIV status(25.2%vs 44.7%),and PEP medication rate(7.6%vs 36.9%)were all obviously increased(P<0.01).Conclusion Our Internet+intervention modes,a four-dimensional linkage system of"infection prevention+regular testing+self-directed learning+peer influence"significantly reduces high-risk behaviors and HIV infection risks among MSM,which providing a digital paradigm for regional HIV prevention and control.

Objective:To develop an ultrasound multi-view fusion recognition model and evaluate its clinical value in diagnosing fetal conotruncal defects (CTD).Methods:This prospective study collected cardiac ultrasound images from fetuses at 20-32 weeks of gestation undergoing prenatal ultrasound at Dongguan Maternal and Child Health Hospital between September 2022 and May 2024. The case group comprised fetuses diagnosed with CTD, while controls with normal cardiac structures were collected at a 1∶2 ratio. Both groups were divided into modeling training and validation sets at a 3∶1 ratio. One optimal standard image each from the four-chamber view, left ventricular outflow tract view, right ventricular outflow tract view, and three vessels and trachea view was included per fetus. A deep learning-based multi-view fusion recognition model was developed to differentiate normal conotruncal anatomy from CTD. Model performance was validated against post-abortion pathology or postnatal echocardiography results. SAS software was used for statistical analysis to calculate the sensitivity and specificity of three fusion models (based on positivity in any two, three, or four views, and were designated as Fusion Model 1, Fusion Model 2, and Fusion Model 3, respectively), with the optimal model determined by the maximum Youden index. Senior, intermediate, and junior prenatal sonologists independently diagnosed cases in the validation set under blinding conditions. Their diagnostic results were compared with those of the optimal model. Paired Chi-square test (Cochran's Q test) was employed to compare the differences between the diagnostic accuracy rates of sonologists at different experience levels and the sensitivity of the optimal model, thereby analyzing the auxiliary diagnostic value of the multi-view fusion recognition model. Results:The study included 88 CTD cases, excluding six cases (non-CTD diagnosed by post-abortion pathology or postnatal echocardiography or poor image quality), divided into 60 training and 22 validation cases (12 tetralogy of Fallot, four double outlet right ventricle, three transposition of great arteries, three persistent truncus arteriosus). The control group included 176 cases, excluding 15 cases (other cardiac abnormalities confirmed postnatally or poor image quality after re-evaluation), divided into 120 training and 41 validation cases. The sensitivities of Fusion Model 1, Fusion Model 2, and Fusion Mudel 3 were 0.86, 0.64, and 0.27, while their specificities were 0.76, 0.95, and 1.00, respectively. Fusion Model 1 demonstrated the highest Youden index (0.62) and was selected as optimal. Its diagnostic sensitivity showed no significant difference from senior sonologists [86% vs. 91% (20/22), Bonferroni-corrected P>0.999], but was significantly higher than intermediate [55% (12/22), Bonferroni-corrected P=0.049] and junior sonologists [32% (7/22), Bonferroni-corrected P=0.003]. Conclusion:The deep learning multi-view fusion model achieved diagnostic performance comparable to senior sonologists, demonstrating potential value in assisting CTD diagnosis, training less experienced sonologists, and supporting research and education.

Objective:To develop an ultrasound multi-view fusion recognition model and evaluate its clinical value in diagnosing fetal conotruncal defects (CTD).Methods:This prospective study collected cardiac ultrasound images from fetuses at 20-32 weeks of gestation undergoing prenatal ultrasound at Dongguan Maternal and Child Health Hospital between September 2022 and May 2024. The case group comprised fetuses diagnosed with CTD, while controls with normal cardiac structures were collected at a 1∶2 ratio. Both groups were divided into modeling training and validation sets at a 3∶1 ratio. One optimal standard image each from the four-chamber view, left ventricular outflow tract view, right ventricular outflow tract view, and three vessels and trachea view was included per fetus. A deep learning-based multi-view fusion recognition model was developed to differentiate normal conotruncal anatomy from CTD. Model performance was validated against post-abortion pathology or postnatal echocardiography results. SAS software was used for statistical analysis to calculate the sensitivity and specificity of three fusion models (based on positivity in any two, three, or four views, and were designated as Fusion Model 1, Fusion Model 2, and Fusion Model 3, respectively), with the optimal model determined by the maximum Youden index. Senior, intermediate, and junior prenatal sonologists independently diagnosed cases in the validation set under blinding conditions. Their diagnostic results were compared with those of the optimal model. Paired Chi-square test (Cochran's Q test) was employed to compare the differences between the diagnostic accuracy rates of sonologists at different experience levels and the sensitivity of the optimal model, thereby analyzing the auxiliary diagnostic value of the multi-view fusion recognition model. Results:The study included 88 CTD cases, excluding six cases (non-CTD diagnosed by post-abortion pathology or postnatal echocardiography or poor image quality), divided into 60 training and 22 validation cases (12 tetralogy of Fallot, four double outlet right ventricle, three transposition of great arteries, three persistent truncus arteriosus). The control group included 176 cases, excluding 15 cases (other cardiac abnormalities confirmed postnatally or poor image quality after re-evaluation), divided into 120 training and 41 validation cases. The sensitivities of Fusion Model 1, Fusion Model 2, and Fusion Mudel 3 were 0.86, 0.64, and 0.27, while their specificities were 0.76, 0.95, and 1.00, respectively. Fusion Model 1 demonstrated the highest Youden index (0.62) and was selected as optimal. Its diagnostic sensitivity showed no significant difference from senior sonologists [86% vs. 91% (20/22), Bonferroni-corrected P>0.999], but was significantly higher than intermediate [55% (12/22), Bonferroni-corrected P=0.049] and junior sonologists [32% (7/22), Bonferroni-corrected P=0.003]. Conclusion:The deep learning multi-view fusion model achieved diagnostic performance comparable to senior sonologists, demonstrating potential value in assisting CTD diagnosis, training less experienced sonologists, and supporting research and education.

Objective To explore the value of nomogram model based on clinical data and MRI findings for predicting simultaneous liver metastasis(SLM)of rectal cancer.Methods Clinical and MRI data of 356 patients with rectal cancer were randomly divided into training set(n=249,45 cases of SLM)and validation set(n=107,27 cases of SLM)at a ratio of 7∶3.Logistic regression analysis were used to screen the independent factors for predicting SLM of rectal cancer.The nomogram model was then constructed,and the efficacy of this model was evaluated.Results Tumor N-stage,serum carcinoembryonic antigen,carbohydrate antigen 19-9 and involvement of mesorectal fascia(MRF)or not were all independent factors for predicting SLM of rectal cancer.The area under the curve(AUC)of this nomogram model for predicting rectal cancer SLM in training set and validation set was 0.834(95％CI[0.776,0.893])and 0.769(95％CI[0.662,0.877]),respectively.The calibration curve showed good consistency between the predicted values and the measured values,and the decision curve analysis showed that the nomogram model had good clinical practicality.Conclusion The nomogram model based on clinical data and MRI findings could be used to predict SLM of rectal cancer.

Objective:To investigate the expression of miRNA-21 in serum of patients with multiple myeloma (MM) and its significance.Methods:The data of 55 MM patients and 20 healthy controls in the Second Hospital of Hebei Medical University from July 2019 to June 2020 were retrospectively analyzed. Among the MM patients, 20 cases were diagnosed without treatment, 15 cases were in complete remission (CR), and 20 cases were clinically relapsed. Blood samples were collected from all subjects, and the relative expression levels of miRNA-21 were detected by real-time quantitative polymerase chain reaction (qRT-PCR), and the correlation of miRNA-21 expression with β 2-macroglobulin (β 2-MG), creatinine, hemoglobin, albumin, t(4;14) mutation, 13q14 mutation and prognosis were analyzed. The MM cell line LP-1 was selected, and normal bone marrow CD138-positive plasma cells were sorted by immunomagnetic beads as control cells. The relative expression levels of miRNA-21 in the two groups of cells were detected by qRT-PCR. Results:The serum relative expression level of miRNA-21 in MM group was higher than that in healthy control group (1.50±0.10 vs. 1.03±0.06, t = 7.04, P = 0.002). The serum expressions of miRNA-21 in newly diagnosed untreated MM patients and relapsed/refractory MM patients were high (1.50±0.10 and 3.13±0.32), and compared with the healthy control group, the differences were statistically significant ( t values were 7.04 and 10.22, both P < 0.05). The relative expression level of miRNA-21 in MM patients with complete remission (CR) was 1.27±0.25, which had no significant difference compared with the healthy control group ( t = 1.76, P = 0.152). The serum expression level of miRNA-21 in MM patients with high β 2-MG, high creatinine, low hemoglobin, low albumin, t(4;14) mutation, 13q14 mutation, non-remission and recurrence was significantly increased (all P < 0.05). The relative expression level of miRNA-21 in LP-1 cell line was higher than that in control cells (1.56±0.05 vs. 1.00±0.06), and the difference was statistically significant ( t = 11.73, P < 0.01). Conclusions:The miRNA-21 may be a molecular marker to assist in the diagnosis and efficacy evaluation of MM.

To investigate the effect of Jianpiyiqi prescription on the expression of heat shock proteins (HSPs) and the changes of HSPs in gastric-ulcerated rats, the rat model of chronic gastric ulcer was induced by acetic acid. The SABC immunohistochemical method was used to observe HSP70 of mucosa around the gastric ulcer. Imaging analysis was performed. Western dot blot was used to detect HSPs contents in the plasma and gastric mucosal homogenate in each group. The results showed that HSP70 contents of the mucosa around the gastric ulcer in the model group and ranitidine-treated group were increased as compared with control group (P<0.01). Jianpiyiqi could increase the expression of HSP70 of the mucosa around the gastric ulcer further as compared with that in the model group and ranitidine-treated group (P<0.01). The HSP70 contents in the serum and mucosa in the model group and ranitidine-treated group were increased as compared with control group (P<0.01, P<0.05 respectively). HSP70 of serum and mucosa in the Jianpiyiqi-treated group was higher than in the model group and ranitidine-treated group (P<0.05, P<0.01 respectively).It was concluded that HSP might play a role in the process of pathophysiology of gastric ulcer. Jianpiyiqi could enhance gastric ulcer-healing through the protective mechanism of HSPs.

To investigate the effect of Jianpiyiqi prescription on the expression of heat shock proteins (HSPs) and the changes of HSPs in gastric-ulcerated rats, the rat model of chronic gastric ulcer was induced by acetic acid. The SABC immunohistochemical method was used to observe HSP70 of mucosa around the gastric ulcer. Imaging analysis was performed. Western dot blot was used to detect HSPs contents in the plasma and gastric mucosal homogenate in each group. The results showed that HSP70 contents of the mucosa around the gastric ulcer in the model group and ranitidine-treated group were increased as compared with control group (P<0.01). Jianpiyiqi could increase the expression of HSP70 of the mucosa around the gastric ulcer further as compared with that in the model group and ranitidine-treated group (P<0.01). The HSP70 contents in the serum and mucosa in the model group and ranitidine-treated group were increased as compared with control group (P<0.01, P<0.05 respectively). HSP70 of serum and mucosa in the Jianpiyiqi-treated group was higher than in the model group and ranitidine-treated group (P<0.05, P<0.01 respectively).It was concluded that HSP might play a role in the process of pathophysiology of gastric ulcer. Jianpiyiqi could enhance gastric ulcer-healing through the protective mechanism of HSPs.