ObjectiveTo analyze the monitoring results and trends of Oncomelania in Songjiang District of Shanghai from 2007 to 2023， and to provide reference for future monitoring work. MethodsThe data of snail monitoring in Songjiang District from 2007 to 2023 were collected， including the location of snail spots， the number of survey frames， the area with snails， the number of frames with snails， the total number of snails， etc. The density of living snails and the occurrence rate of living snail frames were calculated. ResultsFrom 2007 to 2023， a total of 158 snail spots were found in 22 administrative villages in 4 towns in Songjiang District， including 131 emerging snail habitats （82.91%） and 27 reemerging snail habitats （17.09%）. The total snail area was 175 980 m²， the number of snail frames was 10 061， and 33 302 snails were captured. The highest density was 260/0.11 m²， and 15 662 snails were dissected. No positive snails were found. The average density of living snails was 0.60/0.11 m² and the average occurrence rate of living snail frames was 17.99%. The snail areas in different areas were Yexie Town 126 000 m² （71.60%）， Maogang Town 26 470 m² （15.04%）， Xinbang Town 17 040 m² （9.68%）， and Shihudang Town 6 470 m² （3.68%）. The average density of living snails in different areas was 0.89/0.11 m² in Yexie Town， 0.65/0.11 m² in Maogang Town， 0.26/0.11 m² in Shihudang Town and 0.24/0.11 m² in Xinbang Town. The snail areas of different snail habitats were as follows： woodland 151 250 m²（85.95%）， river 13 810 m²（7.85%）， ditch 6 910 m²（3.93%）， farmland 4 010 m²（2.28%）. The average density of living snails in different snail habitats： ditch 1.01/0.11 m²， beach 0.86/0.11 m²， woodland 0.57/0.11 m²， river 0.40/0.11 m². The occurrence rate of living snail frames in different regions and different snail environment types showed a downward trend and the difference was statistically significant. ConclusionAlthough the snail monitoring indicators such as snail area， average living snail density and average living snail frame occurrence rate in Songjiang District are still at its historically low level， the average living snail density and average living snail frame occurrence rate are still high compared with other regions or the national average. We should focus on the upper reaches and tributaries of the Huangpu River， especially the key areas of seedling transplantation， and strengthen monitoring and supervision to reduce the risk of snail input.

Objective: The association between school bullying and attention deficit hyperactivity disorder (ADHD) symptoms among students in primary schools and the moderating role of gender was explored to provide scientific evidence for the prevention and control of school bullying. Methods: A total of 4 764 students from 2 primary schools in Wuhan were selected using the convenience sampling method in March 2023. The Olweus Bully/Victim Questionnaire and Strengths and Difficulties Questionnaire were used. A Pearson χ 2 test was used to compare differences in school bullying rates among children with and without ADHD symptoms. Pearson correlation analysis and Process 3.3 were used to analyse the association between ADHD symptoms, and school bullying behaviour and the moderating role of gender. Results: The reported rate of bullying victims in primary schools was 24.2% and the rate of bullying perpetration was 3.8%. The rate of ADHD symptom detection among primary school students was 5.9%. ADHD symptoms were positively associated with bullying and bullying victim behaviour ( r =0.16, 0.27, P <0.01). Specifically, the association between ADHD symptoms and bullying behavior tended to be stronger among boys than girls ( β boy =0.17, t =11.13; β girl =0.07, t =4.11, P <0.01). Conclusions ADHD symptoms are an important factor influencing school bullying behaviors in students, and gender moderates the association. In the process of preventing and controlling school bullying, ADHD symptoms and gender differences should be emphasized and comprehensive interventions should be implemented.

Venous thromboembolism(VTE)is a prevalent complication in orthopedics.In recent years,machine learning has been widely applied in orthopedics.The essence of machine learning lies in utilizing algorithms to analyze vast amounts of data and construct risk prediction models that can accurately forecast unknown clinical outcomes.By integrating high-risk factors,machine learning aids medical professionals in precisely identifying and screening individuals with a high risk of VTE and offering them timely individualized interventions.This article reviews the concept and classification of machine learning,the advantages of machine learning in enhancing model prediction ability,and the current application status of machine learning in constructing risk prediction models for patients with VTE.

Objective To investigate the application value of point-of-care lung ultrasound (POC-LUS) scoring in selecting respiratory support treatment modalities for neonatal infectious pneumonia (NIP). Methods A total of 89 NIP patients were selected as the study subjects and divided into control group (no assisted ventilation) with 46 cases, noninvasive group (noninvasive assisted ventilation) with 28 cases, and invasive group (invasive mechanical ventilation) with 15 cases based on the degree of dyspnea and blood gas analysis results. The POC-LUS scores of the three groups were compared, and the correlations of POC-LUS scores with arterial oxygen partial pressure [p_a(O₂)] and arterial carbon dioxide partial pressure [p_a(CO₂)] were analyzed. Receiver operating characteristic (ROC) curves were plotted to assess the predictive efficacy of POC-LUS scores for the need for noninvasive assisted ventilation or invasive mechanical ventilation in NIP patients. Results The POC-LUS scores of the noninvasive group and the invasive group were (31.7±7.3) and (42.1±8.0), respectively, which were higher than (21.5±7.3) of the control group. Additionally, the score of the invasive group was higher than that of the noninvasive group (P < 0.05). Correlation analysis revealed a significant negative correlation between POC-LUS scores and p_a(O₂) (r=-0.802, P < 0.05), and a significant positive correlation with p_a(CO₂) (r=0.807, P < 0.05). ROC curve analysis showed that the area under the curve (AUC) of POC-LUS scores for predicting the need for noninvasive assisted ventilation and invasive mechanical ventilation were 0.918 (95%CI, 0.862 to 0.973) and 0.938 (95%CI, 0.889 to 0.987), respectively. The sensitivity was 0.767 and 0.933, and the specificity was 0.935 and 0.824, with optimal cutoff values of 29.5 and 31.5, respectively. Conclusion POC-LUS scoring can quantitatively assess the severity of lung lesions in NIP patients and serves as a guiding tool for clinicians in selecting assisted ventilation treatment modalities.

Objective:To evaluate the diagnostic efficacy of the multiparametric MRI (mpMRI) deep learning artificial intelligence (AI) analysis system combined with 68Ga-prostate specific membrane antigen (PSMA) PET for prostate cancer. Methods:Data of 103 patients (age: 45-85 years) who underwent 68Ga-PSMA PET/MR at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from May 2018 to October 2023 for suspected or confirmed prostate cancer were retrospectively collected. ROI was delineated to measure SUV max of primary tumor or prostate, and a deep learning AI system was applied to analyze MR images of the prostate. The diagnostic efficacies of T 2 weighted imaging (WI), diffusion WI (DWI), mpMRI, PET SUV max, and PET/MR for prostate cancer were assessed, with using the pathological results as the gold standard. Results:Among 103 patients, 82 cases (79.61%) were with prostate cancer. PET unimodality demonstrated the best specificity (100%, 21/21), positive predictive value (100%, 58/58), and AUC (0.860, 95% CI: 0.777-0.920). The mpMRI AI analysis provided rapid diagnostic results and the sensitivity and accuracy were improved by combining with PET (sensitivities of PET, mpMRI and the combination of the two were 70.73%(58/82), 86.59%(71/82), and 92.68%(76/82), respectively; the accuracies were 76.70%(79/103), 81.55%(84/103) and 86.41%(89/103), respectively). Among 44 patients with negative PET, 30 patients received an accurate diagnosis when the results of mpMRI AI analysis were added. Conclusions:68Ga-PSMA PET demonstrates good specificity for prostate cancer and mpMRI AI analysis is time-saving. The combined application improves the diagnostic sensitivity and accuracy, which provides a valuable tool for 68Ga-PSMA PET/MR image analysis.

Objective: This study aimed to determine whether surgery followed by adjuvant chemoradiotherapy has superior survival outcomes for node-positive patients with T1b1-T2a1 stage cervical cancer compared with those who undergo chemoradiation. Methods: We investigated the Surveillance, Epidemiology, and End Results database for 12,701 patients diagnosed between 2000 and 2018. Patients were stratified according to different T stages and different treatment strategies. Surgery included radical hysterectomy (RH) or total hysterectomy (TH). Radiotherapy (RT) included adjuvant chemoradiation or chemoradiation alone. Cox analyses were performed to select the clinically important factors of survival outcomes. Survival analysis was used to compare those who received different treatment methods. Results: A total of 12,701 International Federation of Gynecology and Obstetrics 2018 stage IIIC cervical cancer patients were identified. The risk of overall survival (OS) was significantly different between patients who received and did not receive chemoradiotherapy in the T categories. In the propensity-score matched dataset, early-T stage (T1b1 and T1b2) and node-positive patients in the “RH+RT” and “TH+RT” groups had better disease-specific survival (DSS) than those in the RT group. No difference in DSS was observed between the “surgery following RT” group and the RT group in locally advanced stage (T1b3 and T2a1, node positive) patients. Regarding T1b1-T2a1 node-positive patients, the RH+RT group had a similar survival outcome to that in the TH+RT group. Conclusion We showed that surgery following RT benefits early-T stage (T1b1 and T1b2) cervical cancer patients with lymph node metastasis. For locally advanced stages (T1b3 and T2a1), surgery and RT had similar survival outcomes.

Objective: This study aimed to determine whether surgery followed by adjuvant chemoradiotherapy has superior survival outcomes for node-positive patients with T1b1-T2a1 stage cervical cancer compared with those who undergo chemoradiation. Methods: We investigated the Surveillance, Epidemiology, and End Results database for 12,701 patients diagnosed between 2000 and 2018. Patients were stratified according to different T stages and different treatment strategies. Surgery included radical hysterectomy (RH) or total hysterectomy (TH). Radiotherapy (RT) included adjuvant chemoradiation or chemoradiation alone. Cox analyses were performed to select the clinically important factors of survival outcomes. Survival analysis was used to compare those who received different treatment methods. Results: A total of 12,701 International Federation of Gynecology and Obstetrics 2018 stage IIIC cervical cancer patients were identified. The risk of overall survival (OS) was significantly different between patients who received and did not receive chemoradiotherapy in the T categories. In the propensity-score matched dataset, early-T stage (T1b1 and T1b2) and node-positive patients in the “RH+RT” and “TH+RT” groups had better disease-specific survival (DSS) than those in the RT group. No difference in DSS was observed between the “surgery following RT” group and the RT group in locally advanced stage (T1b3 and T2a1, node positive) patients. Regarding T1b1-T2a1 node-positive patients, the RH+RT group had a similar survival outcome to that in the TH+RT group. Conclusion We showed that surgery following RT benefits early-T stage (T1b1 and T1b2) cervical cancer patients with lymph node metastasis. For locally advanced stages (T1b3 and T2a1), surgery and RT had similar survival outcomes.

Objective: This study aimed to determine whether surgery followed by adjuvant chemoradiotherapy has superior survival outcomes for node-positive patients with T1b1-T2a1 stage cervical cancer compared with those who undergo chemoradiation. Methods: We investigated the Surveillance, Epidemiology, and End Results database for 12,701 patients diagnosed between 2000 and 2018. Patients were stratified according to different T stages and different treatment strategies. Surgery included radical hysterectomy (RH) or total hysterectomy (TH). Radiotherapy (RT) included adjuvant chemoradiation or chemoradiation alone. Cox analyses were performed to select the clinically important factors of survival outcomes. Survival analysis was used to compare those who received different treatment methods. Results: A total of 12,701 International Federation of Gynecology and Obstetrics 2018 stage IIIC cervical cancer patients were identified. The risk of overall survival (OS) was significantly different between patients who received and did not receive chemoradiotherapy in the T categories. In the propensity-score matched dataset, early-T stage (T1b1 and T1b2) and node-positive patients in the “RH+RT” and “TH+RT” groups had better disease-specific survival (DSS) than those in the RT group. No difference in DSS was observed between the “surgery following RT” group and the RT group in locally advanced stage (T1b3 and T2a1, node positive) patients. Regarding T1b1-T2a1 node-positive patients, the RH+RT group had a similar survival outcome to that in the TH+RT group. Conclusion We showed that surgery following RT benefits early-T stage (T1b1 and T1b2) cervical cancer patients with lymph node metastasis. For locally advanced stages (T1b3 and T2a1), surgery and RT had similar survival outcomes.

Humans ; Waldenstrom Macroglobulinemia/genetics* ; East Asian People ; Chromosome Aberrations ; Lymphoma

Objective:To evaluate the left ventricular diastolic function and pulmonary congestion in patients with acute myocardial infarction (AMI) with preserved left ventricular ejection fraction (LVEF) by cardiopulmonary ultrasound (CPUS), and to explore the value of CPUS in predicting the occurrence of heart failure with preserved ejection fraction (HFpEF) in AMI patients with preserved LVEF during hospitalization.Methods:A total of eighty-four patients with AMI with preserved LVEF (≥50%) who received optimal emergency reperfusion therapy on admission at Beijing Chaoyang Hospital Affiliated to Capital Medical University from August 2021 to March 2022 were enrolled. All patients completed comprehensive cardiopulmonary ultrasonography within 12 hours after reperfusion therapy and LVEF, left atrial maximum volume(LAV), peak flow velocity of tricuspid valve regurgitation (V TR), peak flow velocity of mitral valve in early diastole (E), peak velocity of mitral valve annulus on septal side and left ventricular lateral side in early diastole and other conventional echocardiography parameters were obtained, and then the left atrial volume index (LAVI), the mean peak velocity of the mitral valve annulus on the septal side and left ventricular lateral side in early diastole (e′) and E/e′ were calculated; lung ultrasound parameters(the number of B lines) were obtained; the left ventricular global long-axis strain (GLS) was obtained using speckle tracking imaging (STE). The predictive power of CPUS parameters for HFpEF during hospitalization in AMI patients with preserved LVEF were analyzed. Results:①The incidence of HFpEF during hospitalization was 40.4% (34/84). ②The number of B lines and LAVI were independently correlated with the occurrence of HFpEF during hospitalization( P<0.05). ③The ROC curve analysis showed that the area under the curve (AUC) of the number of B lines and LAVI for predicting the occurrence of HFpEF during hospitalization were 0.766 and 0.690, respectively. The number of B lines combined with LAVI had the best predictive performance in predicting the occurrence of HFpEF during hospitalization, with the largest AUC of 0.903, which was significantly better than the number of B lines and LAVI ( P<0.05). Conclusions:The number of B lines combined with LAVI can effectively predict the occurrence of HFpEF during hospitalization in AMI patients with preserved LVEF, which is helpful to further improve the clinical management of AMI patients at risk of HFpEF.