Objective: To investigate the epidemiological characteristics of pertussis in Jiaxing City from 2004 to 2023 and spatio-temporal clustering characteristics from 2022 to 2023, so as to provide insights into formulation of pertussis control measures. Methods: Data of pertussis cases in Jiaxing City from 2004 to 2023 were collected through the Infectious Disease Report Information System of Chinese Disease Prevention and Control Information System. The epidemiological characteristics of pertussis cases in Jiaxing City from 2004 to 2023 were descriptively analyzed, and the spatio-temporal clustering characteristics from 2022 to 2023 were analyzed using spatio-temporal scanning. Results: A total of 478 pertussis cases were reported in Jiaxing City from 2004 to 2023, with an average annual reported incidence of 0.53/105. The reported incidence showed an upward trend from 2004 to 2023 (P<0.05), with the highest in 2022 (3.17/105). Higher incidence of pertussis was reported in June to August (149 cases, 31.17%) and November to December (112 cases, 23.43%). There was no statistically significant difference in the reported incidence between males and females (0.56/105 vs. 0.50/105, P>0.05). The cases aged under one year accounted for the highest proportion, with 199 cases (41.63%). Haining City (0.68/105), Jiashan County (0.64/105) and Tongxiang City (0.60/105) ranked the top three in the reported incidence of pertussis. Spatio-temporal scanning analysis showed that from 2022 to 2023, the primary clustering area of pertussis was centered in Daqiao Town of Nanhu District, covering 27 towns (streets) in Nanhu District, Jiashan County, Xiuzhou District and Pinghu City, and the clustering time was from November to December, 2023. Conclusions The reported incidence of pertussis was at a low level in Jiaxing City, but showed an upward trend from 2004 to 2023. The incidence of pertussis was higher among infants under one year of age, peaked in June to August and November to December, and was concentrated in Nanhu District and its surrounding areas.

Objective: To investigate the epidemiological and spatio-temporal characteristics of influenza in Jiaxing City, Zhejiang Province, so as to provide insights into perfecting the prevention and control strategies of influenza. Methods: Data of influenza in Jiaxing City from 2019 to 2023 were collected from the Chinese Disease Prevention and Control Information System. Population data of the same period were collected from the Zhejiang Health Information Network Reporting System. The epidemiological characteristics of influenza were analyzed using descriptive analysis. Vector map information was collected from the Open Street Map, and the spatio-temporal clustering characteristics of influenza were analyzed using spatial autocorrelation and spatio-temporal scanning. Results: A total of 181 501 cases of influenza were reported in Jiaxing City from 2019 to 2023, with an average annual reported incidence of 653.93/105. The majority of cases were aged 5 to <15 years (59 785 cases, 32.94%). The majority of the occupations were students (78 239 cases, 43.11%) and pre-school children (33 715 cases, 18.58%). The county (city, district) with the highest reported incidence was Haining City (1 451.70/105), and the town (street) with the highest reported incidence was Chang'an Town (1 932.78/105). Spatial autocorrelation analysis showed that the incidence of influenza in Jiaxing City from 2019 to 2023 had positive spatial correlations (all Moran's I>0, all P<0.05), with a high-high clustering in the southern region. Spatio-temporal scanning analysis showed that there was a spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with the southern region being the primary-type clustering area and the period between November and January of the following year being the clustering time. Conclusion There was a significant spatio-temporal clustering of influenza in Jiaxing City from 2019 to 2023, with winter being the peak season and the southern region being the primary area.

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

Helicobacter pylori (Hp) is a unipolar, microaerobic, multiflagellar, spiral-shaped Gram-negative bacterium that survives and colonizes human gastric mucosa. As a classⅠcarcinogen associated with gastric cancer, long-term stimulation of gastric mucosa by Hp can cause atrophic gastritis, peptic ulcer, gastric cancer and gastric mucosa-associated lymphoid tissue lymphoma. It has been reported that Hp can cause epithelial-mesenchymal transition (EMT) in gastric epithelial cells, thereby inducing gastric cancer. We review the mechanism of Hp-induced EMT in gastric epithelial cells, in order to provide new insights for early diagnosis and targeted therapy of gastric cancer.

Objective:To investigate the epidemiological characteristics of herpangina (HA) and its correlation with the incidence of hand, foot and mouth disease (HFMD) in children aged ≤6 years in Yinzhou District of Ningbo from 2017 to 2022.Methods:Epidemiological characteristics of HA in children aged ≤6 years were analyzed based on the electronic medical record data and public health management data from 2017 to 2022 collected from the Health Information Platform of Yinzhou. The incidence of HFMD was calculated using the infectious disease reporting data from the public health management data. Autoregressive integrated moving average model and cross-correlation function were used to evaluate the correlation between the incidence of HA and HFMD.Results:From 2017 to 2022, a total of 25 385 cases of HA were detected in children aged ≤6 years in Yinzhou, the male-to-female ratio of the cases was 1.12∶1. The average annual incidence of HA was 4 986.67/100 000, with the highest incidence in 2018 (10 477.09/100 000) and the lowest incidence in 2020 (870.88/100 000). The incidence peak of HA was during June to July. The incidence of HA was higher in age group 1 year (7 950.45/100 000) than in other age groups. The incidences of HA in Yunlong, Jiangshan and Xiaying were higher, with the incidence of 8 764.31/100 000, 8 377.58/100 000 and 7 965.31/100 000, respectively. The correlation coefficients between the incidence of HA and HFMD at lag day 0, 7, 12 and 18 were 0.199, 0.139, 0.090 and 0.086, respectively (all P<0.05). Conclusions:From 2017 to 2022, the incidence of HA was high in children aged ≤6 years in Yinzhou with obvious seasonality and area difference. The incidence of HA was correlated with the incidence of HFMD and the incidence of HFMD had certain lags. The comprehensive prevention and control of HA and HFMD should be further strengthened by prioritizing HA surveillance and implementing integrated surveillance and management of HA and HFMD.

Objective:To explore the prognosis efficacy of psycho-cardiological therapy and management on patients with coronary atherosclerosis disease (CAD).Methods:This was a clinical randomized controlled study. This study included inpatients with CAD at the cardiology department in Beijing Anzhen Hospital, Capital Medical University from August 2021 to January 2024. The patients enrolled in this study were asked for basic information, and received measurements for depression, anxiety, sleep quality and living quality by the scales of Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder scale-7 (GAD-7), Athens Insomnia Scale (AIS), EuroQol 5-dimension 5-level (EQ-5D-5L) respectively. The patients were randomly grouped into a regular treatment group and a psycho-cardiological treatment group which included WeChat management or antidepressant/antianxiety medical therapy according to the situation. After the patients discharging from hospital for 2, 4, 12, 24, 48, 72, and 96 weeks, professional cardiovascular doctors would follow up by telephone, WeChat, and outpatient department, including scales (2-48 weeks), and cardiac events (2-96 weeks). Kaplan-Meier survival curve and multivariate Cox proportional hazards model were used for analyzing the association between psycho-cardiological treatment and cardiac events.Results:This study recruited a total of 552 patients with CAD, aged 61.0(54.0, 67.0) years, and 379 (68.7%) were male. There were 279(50.5%) in the regular treatment group and 273(49.5%) in the psycho-cardiological treatment group. After treatment for 4, 12 and 48 weeks, the PHQ-9 score in psycho-cardiological was significantly lower than the regular treatment group; After treatment for 12 weeks, the EQ-5D-5L effective value in psycho-cardiological group was higher than the regular treatment group; After treatment for 2, 4, 12, 24 and 48 weeks, the EQ-5D-5L VAS score in psycho-cardiological group was higher than the regular therapy group (all P<0.05). The Kaplan-Meier survival curve showed that, during the different follow-up periods, the rate of cardiac events in psycho-cardiological treatment group was lower than regular treatment group (log-rank P<0.001). The multivariate Cox proportional hazards model adjusted the factor of age, the psycho-cardiological treatment contributed to reducing the cardiac events rate by 80.3% ( HR=0.197, 95% CI: 0.067-0.582, P=0.003). Conclusion:Psycho-cardiological treatment is beneficial for improving psychological stress, living quality, and reducing cardiac events, and helps to improve prognosis and psycho-cardiological rehabilitation in CAD patients.

Objective To explore the feasibility of automatic segmentation of clinical target volume(CTV)and organs at risk(OARs)for cervical cancer using AccuLearning(AL)based on geometric and dosimetric indices.Methods Seventy-five CT localization images with manual contouring data of postoperative cervical cancer were enrolled in this study.Sixty cases were randomly selected to trained to generate automatic segmentation model by AL,and the CTV and OARs of the remaining 15 cases were automatically contoured.Radiotherapy plans on the automatic segmentation contours were imported on the CT images of manual contours.The efficiency,Dice similarity coefficient(DSC),Hausdorff distance(HD)and dosimetric parameters were compared between the two methods.Results The time of automatic segmentation was significantly shorter than that of the manual contour(P<0.05).The DSC of all structures were≥0.87.The HD of bowel bag and rectum were about 10 mm,and that of the rest of OARs were less than 5 mm.CTV(D98,V90% ,V95% ,Dmean,HI),bowel bag(V50)and bladder(V50)had significant differences in dosimetric comparison(P<0.05).Conclusion The automatic segmentation model based on AL can improve the efficiency of radiotherapy.Automatic segmentation of OARs has the potential of clinical application,while that of CTV still needs to be further modified.

Objective To analyze the risk factors of poor prognosis in patients with extended-spectrum β-lactamase producing enterobacterales(ESBL-E)bloodstream infection,and establish a nomogram prediction model to provide help for clinical diagnosis and treatment.Methods A total of 235 patients with ESBL-E bloodstream infection were collected from the First People's Hospital of Jiande City.According to their prognosis,the patients were divided into survival group(n=211)and death group(n=224).The clinical data of the patients were collected,and the independent risk factors of poor prognosis were screened by multivariate Logistic regression analysis.The nomogram was established and verified.Results The mortality of ESBL-E bloodstream infection patients with shock,respiratory failure,diabetes and leukemia,ICU admission,hypoproteinemia,increased or decreased white blood cells,and thrombocytopenia was higher(P＜0.05).Multivariate Logistic regression analysis showed that combined shock,respiratory failure and leukemia were independent risk factors for death from ESBL-E bloodstream infection.Conclusion The nomogram prediction model of adverse prognostic risk factors in patients with ESBL-E bloodstream infection can provide help for clinicians to judge the poor prognosis in the early stage,and it is of reference significance to take early intervention measures to reduce the mortality of patients.

Breast cancer remains a leading cause of mortality in women worldwide.Triple-negative breast cancer(TNBC)is a particularly aggressive subtype characterized by rapid progression,poor prognosis,and lack of clear therapeutic targets.In the clinic,delineation of tumor heterogeneity and development of effective drugs continue to pose considerable challenges.Within the scope of our study,high hetero-geneity inherent to breast cancer was uncovered based on the landscape constructed from both tumor and healthy breast tissue samples.Notably,TNBC exhibited significant specificity regarding cell prolif-eration,differentiation,and disease progression.Significant associations between tumor grade,prog-nosis,and TNBC oncogenes were established via pseudotime trajectory analysis.Consequently,we further performed comprehensive characterization of the TNBC microenvironment.A crucial epithelial subcluster,E8,was identified as highly malignant and strongly associated with tumor cell proliferation in TNBC.Additionally,epithelial-mesenchymal transition(EMT)-associated fibroblast and M2 macrophage subclusters exerted an influence on E8 through cellular interactions,contributing to tumor growth.Characteristic genes in these three cluster cells could therefore serve as potential therapeutic targets for TNBC.The collective findings provided valuable insights that assisted in the screening of a series of therapeutic drugs,such as pelitinib.We further confirmed the anti-cancer effect of pelitinib in an orthotopic 4T1 tumor-bearing mouse model.Overall,our study sheds light on the unique characteristics of TNBC at single-cell resolution and the crucial cell types associated with tumor cell proliferation that may serve as potent tools in the development of effective anti-cancer drugs.

Objective:To analyze the epidemic characteristics and infection modes of human brucellosis in Jiaxing City, and provide a basis for refining brucellosis prevention and control strategies.Methods:Data on brucellosis epidemic reported in Jiaxing City from January 2021 to December 2023 were collected, and statistical analysis was conducted using descriptive epidemiology method.Results:A total of 122 cases of brucellosis were reported in Jiaxing City from 2021 to 2023, with an average annual incidence rate of 0.74/100 000. Specifically, the incidence rates from 2021 to 2023 were 0.43/100 000, 1.03/100 000 and 0.77/100 000, respectively, showing an upward trend(χ 2trend = 4.38, P = 0.036). The onset time was mainly from March to August(88 cases). The cases of brucellosis were mainly distributed in Tongxiang City (102 cases). The incidence rate of male (2.98/100 000) was higher than that of female (1.41/100 000, χ 2 = 15.00, P < 0.001). The age of onset was concentrated in 40 - 69 years old (100 cases), the incidence rate of 60 - 69 years old was higher (5.50/100 000). The main modes of infection among occupational population (72 cases) were slaughtering sheep and handling sheep scraps, accounting for 18.03% (22/122) and 17.21% (21/122), respectively. The main modes of infection for non-occupational population (46 cases) were cleaning and cooking of infected lambs and exposure to contaminated environments from diseased sheep, both accounting for 18.03% (22/122). Among them, the proportion of patients with the disease through cleaning and cooking infected lambs showed an increasing trend year by year (χ 2trend = 9.44, P = 0.002). The average time interval between the onset and diagnosis of brucellosis in patients was 20 (10, 40) d. The positive detection rate of standard tube agglutination test (SAT) in Brucella serological test was 67.88% (93/137), and the identification results of all case strains through pathogenic test were Brucella melitensis. Conclusions:The incidence rate of human brucellosis in Jiaxing City from 2021 to 2023 has shown an upward trend. The main population affected by the disease is occupational, but the proportion of non-occupational patients is increasing. Currently. It is suggested that targeted measures should be formulated for non-occupational population while implementing the prevention and control measures for occupational population.