ObjectiveTo analyze the epidemiological and clinical characteristics of pertussis in Baoshan District, Shanghai from 2017 to 2024, so as to provide an evidence-based reference for optimizing prevention and control strategies. MethodsData on pertussis cases were collected from the China Disease Prevention and Control Information System, Shanghai Integrated Management and Immunization Service Information System, and follow-up epidemiological investigations. Descriptive epidemiological analyses were performed to analyze the epidemiological characteristics, clinical manifestations, and vaccine effectiveness. Joinpoint regression analyses were used to examine the temporal trends in incidence rates, and a Poisson model was constructed for spatiotemporal scan analyses. ResultsA total of 1 634 pertussis cases were reported in Baoshan District from 2017 to 2024, with a male-to-female ratio of 1.08∶1. More cases were observed in males than in females, with the age ranged from 20 days to 81 years. Among them, 59.92% were in the 6‒<11 years age group, and 63.34% were students. Low-level sporadic incidence persisted during 2017‒2023, followed by a sharp increase in 2024 (71.37/100 000). Starting in January 2024, the incidence rate showed an upward trend, peaking in May before declining. The majority of cases occurred between April and June. The trend in reported pertussis incidence rates in Baoshan District from 2017 to 2023 showed no statistically significant change (APC=10.039%, t=2.586, P=0.150). Incidence rate rose from January 2024, peaked in May (APC=133.641%, t=3.841, P=0.006), then declined significantly (APC=-47.816%, t=2.586, P<0.001). The 12 subdistricts of Baoshan District were divided into low, medium, and high population density areas, with an average annual reported incidence rate of 6.09/100 000, 8.19/100 000 and 11.96/100 000, respectively. The reported incidence rate increased with an increase in population density. Spatiotemporal scan analyses showed that cases clustered in the southwest and northeast of Baoshan District. Epidemiological follow-up investigations of 1 520 cases revealed that the main clinical symptoms were cough (97.63%) and sputum production (41.58%), and 98.13% of the cases were confirmed by positive nucleic-acid test results. Among the 1 475 cases with immunization records, 83.53% had completed the four-dose pertussis vaccine before onset. The complication incidence rates, from high to low, were in the 0-dose vaccination group, 1‒3-dose vaccination group and 4-dose vaccination group. The duration of cough, from long to short, was observed in the the 0-dose vaccination group, 1‒3-dose vaccination group and 4-dose vaccination group, correspondingly. ConclusionIt is recommended to improve the pertussis surveillance system in medical institutions and establish an active monitoring network, prioritizing deployment in school settings and areas with high population density. Enhancing diphtheria-tetanus-pertussis (DTP) vaccination coverage among 6-year-old children and further optimizing the pertussis immunization strategies are essential to prevent and reduce the risk of pertussis among school-aged children.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Objective To explore a deep learning-based automatic bone age estimation model for elbow joint X-ray images of Chinese Han adolescents and children and evaluate its performance.Methods A total of 943(517 males and 426 females)elbow joint frontal view X-ray images of Chinese Han ado-lescents and children aged 6.00 to<16.00 years were collected from East,South,Central and North-west China.Three experimental schemes were adopted for bone age estimation.Scheme 1:Directly in-put preprocessed images into the regression model;Scheme 2:Train a segmentation network using"key elbow joint bone annotations"as labels,then input segmented images into the regression model;Scheme 3:Train a segmentation network using"full elbow joint bone annotations"as labels,then in-put segmented images into the regression model.For segmentation,the optimal model was selected from U-Net,UNet++and TransUNet.For regression,VGG16,VGG19,InceptionV2,InceptionV3,ResNet34,ResNet50,ResNet101 and DenseNet121 models were selected for bone age estimation.The dataset was randomly split into 80%(754 samples)for training and validation for model fitting and hyperparameter tuning,and 20%(189 samples)as an internal test set to test the performance of the trained model.An additional 104 elbow joint X-ray images from the same demographic and age group were col-lected and used as an external test set.Model performance was evaluated by comparing the mean ab-solute error(MAE),root mean square error(RMSE),accuracies within±0.7 years(P±0.7 years)and±1.0 years(P±1.0 years)between the estimated age and the actual age,and by drawing radar charts,scat-ter plots,and heatmaps.Results When segmented with Scheme 3,the UNet++model achieved good segmentation performance with a segmentation loss of 0.000 4 and an accuracy of 93.8%at a learning rate of 0.000 1.In the internal test set,the DenseNet121 model with Scheme 3 yielded the best results with MAE,P±0.7 years and P±1.0 years being 0.83 years,70.03%,and 84.30%,respectively.In the external test set,the DenseNet121 model with Scheme 3 also performed best,with an average MAE of 0.89 years and an average RMSE of 1.00 years.Conclusion When performing automatic bone age estima-tion using elbow joint X-ray images in Chinese Han adolescents and children,it is recommended to use the UNet++model for segmentation.The DenseNet121 model with Scheme 3 achieves optimal per-formance.Using segmentation networks,especially that trained with annotation areas encompassing the full elbow joint including the distal humerus,proximal radius,and proximal ulna,can improve the ac-curacy of bone age estimation based on elbow joint X-ray images.

Objective To explore a deep learning network model suitable for bone age estimation using shoulder joint X-ray images in Chinese Han adolescents.Methods A retrospective collection of 1 286 shoulder joint X-ray images of Chinese Han adolescents aged 12.0 to<18.0 years(708 males and 578 females)was conducted.Using random sampling,approximately 80%of the samples(1 032 cases)were selected as the training and validation sets for model learning,selection and optimization,and the other 20%samples(254 cases)were used as the test set to evaluate the model's generalization ability.The original single-channel shoulder joint X-ray images and dual-channel inputs combining original images with segmentation labels(manually annotated shoulder joint regions multiplied pixel-by-pixel with original images,followed by segmentation via the U-Net++network to retain only key shoulder joint region information)were respectively input into four network models,namely VGG16,ResNet18,ResNet50 and DenseNet121 for bone age estimation.Additionally,manual bone age estimation was con-ducted on the test set data,and the results were compared with the four network models.The mean absolute error(MAE),root mean square error(RMSE),coefficient of determination(R2),and Pear-son correlation coefficient(PCC)were used as main evaluation indicators.Results In the test set,the bone age estimation results of the four models with dual-channel input of shoulder joint X-ray images outperformed those with single-channel input in all four evaluation indicators.Among them,DenseNet121 with dual-channel input achieved best results with MAE of 0.54 years,RMSE of 0.82 years,R2 of 0.76,and PCC(r)of 0.88.Manual estimation yielded an MAE of 0.82 years,ranking second only to dual-channel DenseNet121.Conclusion The DenseNet121 model with dual-channel input combined with original images and segmentation labels is superior to manual evaluation results,and can effectively estimate the bone age of Chinese Han adolescents.

Cancer is the main cause of death,and drug therapy has greatly improved the effectiveness of anti-tumor treatment.However,there are problems such as high adverse reactions and the risk of developing drug resistance after long-term use.There is an urgent need to seek new drug targets.Human antigen R(HuR),as an RNA binding protein,promotes the whole process of tumor occurrence,development and metastasis through post transcriptional regulation of mRNA stability,and HuR is general-ly highly expressed in tumor tissue,making it a new target for an-ti-tumor therapy and a standard for prognosis evaluation.Tradi-tional Chinese medicine formulas and their various chemical components can inhibit tumor proliferation,induce tumor cell ap-optosis,inhibit angiogenesis,suppress immune escape,and re-verse tumor drug resistance by regulating HuR activity.This re-view summarizes the importance of HuR in regulation of tumor progression,as well as analyzes the mechanisms of the antitumor effects through active ingredients of Chinese medicine with the regulation of HuR.It is expected to provide new ideas for tumor therapy and guidance for the development of HuR-targeted anti-tumor drugs.

Objective:To explore the effect of self-compassion-based writing on prosocial behavior in college students with different self-construals.Methods:A total of 182 college students were recruited,and the Self-Con-structional Scales were used to determine the self-construal types(independent or interdependent).Participants were then assigned to either a self-compassion-based writing group(n=91)or a non-self-compassion daily writing group(n=91)and completed writing tasks according to the respective instructions.Prosocial behavior was evaluated with the Prosocial Tendencies Measure(PTM),situational judgment tests,and donation amounts.Results:The evaluation results from the PTM showed that prosocial behavior was significantly higher in individuals with interdependent self-construal compared to those with independent self-construal(P＜0.001),the main effect of the group type was not statistically significant(P＞0.05).The evaluation results from situational judgment tests showed that prosocial behavior was significantly higher in individuals with interdependent self-construal compared to those with independ-ent self-construal(P＜0.001),the self-compassion-based writing group demonstrated significantly more prosocial behavior than the non-self-compassion daily writing group(P＜0.05).The evaluation results from donation a-mounts showed that the main effect of self-construal type was not statistically significant(P＞0.05),the self-com-passion-based writing group demonstrated significantly more prosocial behavior than the non-self-compassion daily writing group(P＜0.05).Conclusion:Compared to daily writing,self-compassion-based writing could effectively increase prosocial behavior in college students,regardless of their self-construal type.

Objective To observe the effect of a Jianpi Huayu Jiedu formula on the NLRP3-mediated pyroptosis pathway in gastric precancerous lesion(GPL)associated with Helicobacter pylori(Hp)infection.Methods A GPL mouse model was prepared using Hp suspension gavage combined with Atp4a gene-deficient mice.The Jianpi Huayu Jiedu formula was administered as an intervention.Gastric mucosal tissue pathological damage was observed using hematoxylin and eosin(HE)staining.The presence of intestinal metaplasia(IM)was assessed using Alcian Blue-Periodic Acid Schiff(AB-PAS)staining.Ultrastructural changes in cell organelles were observed using transmission electron microscopy.Enzyme-linked immunosorbent assay(ELISA)was used to measure levels of gastrin-17(G-17),pepsinogen I(PGI),and proinflammatory cytokines IL-1β and IL-18.The expression of molecules related to the pyroptosis pathway was detected using Western blot and real-time quantitative PCR(RT-qPCR).Results Compared to the control group,Hp-related GPL mice exhibited gastric mucosal atrophy accompanied by IM and dysplasia.Damage to mitochondria and endoplasmic reticulum in parietal cells was observed.Levels of G-17,PGI,and proinflammatory cytokines IL-1β and IL-18 were elevated.The expression of molecules related to the pyroptosis pathway was increased.The Jianpi Huayu Jiedu formula significantly reduced gastric mucosal tissue pathological damage in GPL mice,decreased G-17 and PGI levels,mitigated inflammatory responses,and downregulated the expression of molecules related to the pyroptosis pathway.Conclusion The Jianpi Huayu Jiedu formula may exert its effects by inhibiting the NLRP3-mediated pyroptosis signaling pathway,thereby alleviating or even reversing the pathological damage of gastric mucosa in Hp-related GPL.

OBJECTIVE: To analyze the efficacy and safety of decitabine-based myeloablative preconditioning regimen for allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with acute myeloid leukemia (AML). METHODS: The clinical characteristics and efficacy of 115 AML patients who underwent allo-HSCT at the First Medical Center of Chinese PLA General Hospital from August 2018 to August 2022 were retrospectively analyzed, including 37 patients treated with decitabine conditioning regimen (decitabine group) and 78 patients without decitabine conditioning regimen (non-decitabine group). The cumulative incidence of relapse (CIR), overall survival (OS), leukemia-free survival (LFS), non-relapse mortality (NRM) and graft versus host disease (GVHD) were analyzed. RESULTS: For the patients in first complete remission (CR1) state before allo-HSCT, the 1-year relapse rates of decitabine group(22 cases) and non-decitabine group(69 cases) were 9.1% and 29.6%, respectively, the difference was statistically significant(P =0.042). The 1-year cumulative incidence of acute graft-versus-host disease (aGVHD) in decitabine group and non-decitabine group was 62.2% and 70.5%, respectively, and the 1-year cumulative incidence of chronic inhibitor-versus-host disease (cGVHD) was 18.9% and 14.1%, respectively, there were no significant differences in the incidence of aGVHD and cGVHD between the two groups (P >0.05). Of the 115 patients, there were no significantly differences in the 1-year CIR(21.7% vs 28.8%, P =0.866), NRM(10.9% vs 3.9%, P =0.203), OS(75.2% vs 83.8%, P =0.131) and LFS(74.6% vs 69.1%, P =0.912) between the decitabine group(37 cases) and the non-decitabine group(78 cases). CONCLUSION Decitabine-based conditioning regimen could reduce the relapse rate of AML CR1 patients with good safety.
Humans ; Leukemia, Myeloid, Acute/therapy* ; Hematopoietic Stem Cell Transplantation/methods* ; Decitabine/therapeutic use* ; Transplantation Conditioning/methods* ; Retrospective Studies ; Graft vs Host Disease ; Transplantation, Homologous ; Male ; Female ; Adult ; Middle Aged ; Adolescent ; Young Adult

OBJECTIVE: To investigate the short-term efficacy and safety of low-dose venetoclax combined with CHG (cytarabine+homoharringtonine+G-CSF) priming regimen in patients with acute myeloid leukemia (AML) and high-risk myelodysplastic syndrome (MDS) ineligible for intensive chemotherapy. METHODS: The data of 14 patients with AML or high-risk MDS admitted to the department of hematology/oncology of the First Hospital of Tsinghua University and 2 cooperative institutions from July 2022 to August 2023 were retrospectively analyzed. All the patients were treated with low-dose venetoclax combined with CHG priming regimen and the early induction (one course) efficacy and adverse reactions were observed. RESULTS: Among the 14 patients, 10 were males and 4 were females, with a median age of 69.5 (46-83) years. After 1 cycle of induction chemotherapy, the complete remission (CR) rate was 64.3% (9/14) and overall response rate (ORR) was 78.6% (11/14). Among the 10 patients with adverse prognosis according to cytogenetics and molecular genetics, the CR rate was 50.0% (5/10), and ORR was 70.0% (7/10). In 7 patients with TP53 mutation, the CR rate was 42.9% (3/7) and ORR was 71.4% (5/7). In the 6 patients with complex karyotype, CR rate was 33.3% (2/6) and ORR was 66.7% (4/6). While the CR rate and ORR of 8 non-complex karyotype patients were both 87.5% (7/8), and the difference in CR rate between patients with complex karyotype and non-complex karyotype was statistically significant ( P < 0.05). The adverse reactions of chemotherapy were tolerable, without early treatment-related deaths. CONCLUSION Low-dose venetoclax combined with CHG priming regimen can be used as an effective treatment for AML and high-risk MDS patients who are ineligible for intensive chemotherapy, and it is safe and worthy of clinical application.
Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Aged ; Male ; Female ; Sulfonamides/therapeutic use* ; Middle Aged ; Myelodysplastic Syndromes/drug therapy* ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use* ; Aged, 80 and over ; Retrospective Studies ; Cytarabine/administration & dosage* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Homoharringtonine/therapeutic use*

OBJECTIVE: To understand clinical and laboratory characteristics of acute myeloid leukemia, myelodysplasia-related (AML-MR). METHODS: Blood sample of one patient with AML-MR admitted to our hospital in September 2021 was collected and synthetically analyzed by using techniques including complete blood cell count, peripheral blood and bone marrow cell morphology, bone marrow pathology and immunohistochemistry, hematology examination, flow cytometry (FCM), chromosome karyotype analysis and molecular pathology. The clinical and laboratory characteristics of AML-MR were analyzed and summarized according to the World Health Organization (WHO) standards. RESULTS: The patient showed pancytopenia and increased proportion of blasts in smear of peripheral blood cells. Bone marrow cytology and pathological examination showed significant proliferation of hematopoietic cells. Pathological immunohistochemistry showed increased expression of CD61, CD34, and CD117, while MPO, CD13, and CD33 were positive. FCM showed that abnormal myeloid progenitor cells accounted for approximately 18.61% of the total number of nuclear cells, with expression of CD34, CD13, CD117, HLA-DR, and CD33 (small amount). Additionally, 36.34% of the cells were primitive/immature red blood cells which expressed CD36, CD71, and CD117 (small amount). Chromosome karyotype analysis and molecular pathology detected three kinds of abnormalities including -5 and two kinds of TP53 related gene mutation, respectively. CONCLUSION AML-MR patient shows pancytopenia and increased proportion of blasts in smear of peripheral blood cells. Bone marrow cytology and pathological examination show significant proliferation of hematopoietic cells. FCM can detect myeloid progenitor cells and primitive/immature red blood cells, while chromosome karyotype analysis can detect three abnormal karyotypes.
Humans ; Leukemia, Myeloid, Acute/diagnosis* ; Myelodysplastic Syndromes ; Flow Cytometry ; Karyotyping ; Male ; Middle Aged ; Mutation