Objective To explore the current status of H.pylori infection in the natural population of Sanya City,analyze its influencing factors,and provide a reference basis for the prevention and control of H.pylori infection.Methods A total of 677 residents from four districts of Sanya City were selected by overall stratified random sampling method,and were subjected to urea 14C breath test and questionnaire survey to calculate the positive rate of H.pylori in the natural population and analyze the influencing factors of H.pylori infection.Results A total of 606 residents were included,and the number of H.pylori positive detections was 261,with a positive detection rate of 38.5％.Among them,different ethnicity,marital status,smoking,eating vegetables and fruits,and literacy level were associated with H.pylori infection(P＜0.05);gender,age,BMI,alcohol consumption,drinking water source,betel quid chewing,and the number of cohabitants were not significantly associated with H.pylori infection(P＞0.05).Family infection was an independent risk factor for H.pylori infection in the natural population of Sanya City,and Li ethnicity,frequent consumption of fruits and vegetables,and college and higher education level were independent protective factors for H.pylori infection in the natural population of Sanya City.Conclusion The rate of H.pylori infection in the natural population of Sanya City is lower than the national average.Consuming more fruits and vegetables and improving the awareness of hygiene protection are conducive to the prevention of H.pylori infection;and the promotion of the family and related members with the same examination and treatment is important to avoid aggregation of infection within the family.

Objective To achieve automatic segmentation of cell nuclei in gastrointestinal cancer pathological images by using a deep learning algorithm,so as to assist in the quantitative analysis of subsequent pathological images.Methods A total of 59 patients with gastrointestinal cancer treated in Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from Jan 2022 to Feb 2022,were selected as the research objects.Python and LabelMe were used for data anonymization,image segmentation,and region of interest annotation of patients'pathological images.A total of 944 pathological images were included,and 9 703 nuclei were annotated.Then,a new semantic segmentation model based on deep learning was constructed.The model introduced deformable attention transformer(DAT)to realize automatic,accurate and efficient segmentation of pathological image nuclei.Finally,multiple segmentation evaluation criteria are used to evaluate the model's performance.Results The mean absolute error of the segmentation results of the model proposed in this paper was 0.112 6,and the dice coefficient(Dice)was 0.721 5.Its effect was significantly better than the U-net baseline model,and it was ahead of models such as ResU-net++,R2Unet and R2AttUnet.Moreover,the segmentation results were relatively stable with good generalization.Conclusion The segmentation model established in this study can accurately identify and segment the nuclei in the pathological images,with good robustness and generalization,which is helpful to play an auxiliary diagnostic role in practical applications.

Objective To explore the cut-off value of three dimensional(3D)vena contracta area(VCA)in diagnosing severe tricuspid regrugitation(TR)under different etiologies and its accuracy and practicality in clinical application.Methods From Mar 2019 to May 2021,ninety-two patients with confirmed TR underwent two dimensional(2D)and 3D transthoracic echocardiography.The correlation and consistency between 3D VCA 3D calculated based on the proximal isokinetic surface area(PISA)effective regurgitant orifice area(EROA)was calculated.Comprehensive 2D multi-parameter method was used as a reference method to calculate the cut-off value of the diagnosis of severe TR.Results A total of 85 patients were ultimately included.3D VCA and 3D PISA EROA had similar and acceptable correlations in both primary TR and secondary TR(primary TR:r=0.831,P<0.01;secondary TR:r=0.806,P<0.01).Bland-Altman analysis showed that 3D VCA overestimated TR compared with 3D PISA EROA(62%overestimated in the total patient population,51%overestimated in primary TR,and 74%overestimated in secondary TR).In secondary TR,the cut-off value of 3D VCA for diagnosing severe TR was 0.45 cm2(sensitivity 89%,specificity 82%);combining clinical symptoms,positive 2D PISA EROA results and 3D VCA results for severe TR,the chi-square value was higher than those only included clinical symptoms or incorporated clinical symptoms and positive 2D PISA EROA results(42.168 vs.26.059 and 16.759,P<0.01).Conclusion 3D VCA would overestimate TR,and had high and incremental diagnostic value for evaluating severe TR in secondary TR.

Objective Clarify the basis of the commonly used Tibetan medicinal material"YeGexing",the chemical structure and pharmacological activity were investigated,then provide a basis for standardizing clinical medication,quality control,and rational use of resources.Methods Using literature research;plant taxonomy identification summary of chemical composition investigation and pharmacological activity identification,combined with resource distribution,clinical use status investigation and analysis.Results Tibetan medicine"Yegexing"involved 7 species in 2 families,4 genera,that is Sambucus Linn.from Caprifoliaceae,Senecio L.,Synotis(C.B.Clarke)C.Jeffrey et Y.L.Chen,Saussurea DC.from Compositae.The earliest used"Yegexinggabao"or"white"should be Senecio dianthus.and Senecio solidagineus.in the literature;"Yegexingnabao"or"black"should be Saussurea epilobioides.and Sambucus adnate.;S.raphanifolius.(S.diversifolius.),S.chrysanthemoides.(S.laetus.).S.chinensis.are the main substitutes used in Yunnan,Gansu,and western Sichuan,and are commonly used in the market.YeGexing mainly contains terpenes,flavonoids,alkaloids,phenolic acids and other chemical components;YeGexing black is mainly used for"healing",white is mainly used for"anti-inflammatory",which corresponds to modern pharmacological research on anti-inflammatory,antioxidant,antibacterial and other activities.Conclution In view of the fact that the origin of"Yegexing"involves a variety of plants from different families and genera,"Yegexing"has become a collective name for these plant medicinal materials.According to the lextual results and the research progress on chemical structure and pharmacological activity,from the perspective of conducive to standardizing clinical medication,ensuring efficacy and quality of medicinal materials,its name and variety should be standardized as:"??????(???????????????????/)Yegexinggabao"(that is,the white one),the source is S.dianthus.(S.erythropappa.),S.solidagineus.(S.solidaginea.),S.raphalanifolius.(S.diversifolius.),S.chrysanthemoides.(S.laetus.);"(???????????????????????/)Yegexingnabao"(that is,the black one),the source is S.epilobioides.and S.adnata.and S.chinensis are independent medicines.We should strengthen the investigation of the resources and use status of substitutes in various places,the comparative research on the medicinal material basis and biological activity of different resource species,and standardize their varieties-names-bases to make rational use of their resources.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

AIM To investigate the effects of stir-frying,processing with butter and carbonizing by stir-frying on oil components in Gleditsiae sinensis Fructus and Gleditsiae Fructus Abnormalis.METHODS The volatile oils and fatty oils were extracted by steam distillation method and Soxhlet extraction method,respectively,after which the extraction rates were determined.GC-MS was applied to analyzing the kinds and relative contents of oil components,after which cluster analysis was performed.RESULTS After the processing,the two medicinal materials demonstrated increased extraction rates of fatty oils and decreased extraction rates of volatile oils(except for processing with butter),the extraction rates of oil components in Gleditsiae sinensis Fructus were higher than those in Gleditsiae Fructus Abnormalis,and the reduced relative contents of toxic olefin benzene components were observable.CONCLUSION The kinds and relative contents of oil components in Gleditsiae sinensis Fructus and Gleditsiae Fructus Abnormalis exist obvious differences,the former displays better medicinal quality,whose processing mechanism in alleviating dryness and strength may contribute to the reduction of relative contents of toxic olefin benzene components.

Humans ; Aortic Valve/surgery* ; Aortic Valve Stenosis/surgery* ; Calcinosis/surgery* ; Transcatheter Aortic Valve Replacement ; Heart Valve Prosthesis

Objective: To compare the 5-year follow-up outcomes of radiofrequency catheter ablation (RFCA) combined with left atrial appendage closure (LAAC) and long-term oral anticoagulant (OAC) after RFCA in patients with atrial fibrillation. Methods: This retrospective cross-sectional study included patients with atrial fibrillation who underwent"one-stop"procedure in the First Affiliated Hospital of Ningbo University from September 2015 to December 2017 (RFCA+LAAC group). Baseline data of patients were collected. Propensity score matching at the ratio of 1∶1 was used to select patients with atrial fibrillation who took long-term OAC after RFCA (RFCA+OAC group). The maintenance rate of sinus rhythm and the incidence of adverse events during follow-up were compared between the two groups. Results: A total of 110 patients were enrolled in the RFCA+LAAC group and RFCA+OAC group, respectively. Age of patients was (67.4±8.8) years in RFCA+LAAC group, and there were 42 (38.2%) female patients. Age of patients was (67.3±7.9) years in RFCA+OAC group, and there were 47 (42.7%) female patients. The patients were followed up for mean of (5.3±1.1) years. There was no significant difference in the maintenance rate of sinus rhythm (log-rank: χ²=0.277, P=0.602) and incidence of ischemic stroke events (2.7% (3/110) vs. 4.5% (5/110), P=0.719) during follow-up between the two groups. The incidence of bleeding events (6.4% (7/110) vs. 18.2% (20/110), P=0.008) and major bleeding events (1.8% (2/110) vs. 8.2% (9/110), P=0.030) was significantly higher in the RFCA+OAC group than in the RFCA+LAAC group. Conclusion: There is no significant difference between RFCA+LAAC group and RFCA+OAC group in maintenance rate of sinus rhythm and incidence of ischemic stroke events. Patients in the RFCA+LAAC group have a lower risk of bleeding events compared to the RFCA+OAC group.
Humans ; Female ; Middle Aged ; Aged ; Male ; Atrial Fibrillation/surgery* ; Cross-Sectional Studies ; Follow-Up Studies ; Retrospective Studies ; Anticoagulants/therapeutic use* ; Catheter Ablation ; Ischemic Stroke

This study explored a new model of Prostate Imaging Reporting and Data System (PIRADS) and adjusted prostate-specific antigen density of peripheral zone (aPSADPZ) for predicting the occurrence of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). The demographic and clinical characteristics of 853 patients were recorded. Prostate-specific antigen (PSA), PSA density (PSAD), PSAD of peripheral zone (PSADPZ), aPSADPZ, and peripheral zone volume ratio (PZ-ratio) were calculated and subjected to receiver operating characteristic (ROC) curve analysis. The calibration and discrimination abilities of new nomograms were verified with the calibration curve and area under the ROC curve (AUC). The clinical benefits of these models were evaluated by decision curve analysis and clinical impact curves. The AUCs of PSA, PSAD, PSADPZ, aPSADPZ, and PZ-ratio were 0.669, 0.762, 0.659, 0.812, and 0.748 for PCa diagnosis, while 0.713, 0.788, 0.694, 0.828, and 0.735 for csPCa diagnosis, respectively. All nomograms displayed higher net benefit and better overall calibration than the scenarios for predicting the occurrence of PCa or csPCa. The new model significantly improved the diagnostic accuracy of PCa (0.945 vs 0.830, P < 0.01) and csPCa (0.937 vs 0.845, P < 0.01) compared with the base model. In addition, the number of patients with PCa and csPCa predicted by the new model was in good agreement with the actual number of patients with PCa and csPCa in high-risk threshold. This study demonstrates that aPSADPZ has a higher predictive accuracy for PCa diagnosis than the conventional indicators. Combining aPSADPZ with PIRADS can improve PCa diagnosis and avoid unnecessary biopsies.
Male ; Humans ; Prostate/pathology* ; Prostate-Specific Antigen/analysis* ; Prostatic Neoplasms/diagnostic imaging* ; Biopsy ; Nomograms ; Retrospective Studies