1.Surveillance results of respiratory syncytial virus outbreaks in kindergarten and school in Shenzhen, 2017-2023
WANG Xin, FANG Shisong, WU Weihua, LIU Hui, SUN Ying, ZOU Xuan, TANG Xiujuan
Chinese Journal of School Health 2025;46(3):435-437
Objective:
To analyze respiratory syncytial virus(RSV) outbreaks surveillance results and the epidemiological characteristics in kindergarten and school in Shenzhen during 2017-2023 , so as to provide a scientific reference for control and prevention of RSV.
Methods:
Epidemiological data and surveillance results of RSV outbreaks in kindergarten and school from 2017 to 2023 were collected for descriptive analyses.
Results:
A total of 31 RSV outbreaks were identified in kindergarten and school in 2017-2023 in Shenzhen, 346 cases were reported, the average incidence rate was 22.02%. The most annual RSV outbreaks were reported in 2020 with 14 outbreaks, followed by 8 outbreaks in 2023. A total of 64.52% of RSV outbreaks were identified in kindergarten with rest occurring in primary school or middle school. The greatest monthly count of outbreak was 18 (58.06%) in September, followed by 3 outbreaks (9.68%) in March and October. A total of 244 swab samples were collected, 169 samples were positive for respiratory viruses, the positive rate was 69.26%, 121 samples were positive for RSV,from 31 respiratory syncytical virus outbreaks 57 and samples were positive for other respiratory viruses(9 samples were positive for two respiratory viruses). A toral of 14(45.16%) outbreaks are caused by RSV alone, 17 outbreaks (54.84%) were caused by RSV and other respiratory viruses.
Conclusions
Most RSV outbreaks in kindergarten and school are reported after 2020 in Shenzhen, most RSV outbreaks occur in kindergarten, peak seasons of RSV outbreaks are autumn and spring.
2.Life's Essential 8 metrics and prognosis in patients with renal insufficiency: Results from the National Health and Nutrition Examination Survey, 2007-2018.
Weihua CHEN ; Guitao XIAO ; Shan DING ; Shanshan SHI ; Yuxiong PAN ; Jiabin TU ; Yanbin ZHANG ; Ying LIAO ; Liling CHEN ; Kaihong CHEN ; Rongchong HUANG
Chinese Medical Journal 2025;138(21):2824-2831
BACKGROUND:
The benefits of ideal cardiovascular-health metrics (ICVHMs) in patients with renal insufficiency remain unclear. This study aimed to investigate the associations between ICVHM and prognosis in a renal insufficiency population.
METHODS:
The trial enrolled 29,682 participants from the US National Health and Nutrition Examination Survey (NHANES), 2007-2018, with mortality follow-up through December 31, 2019. Participants were divided into three groups based on estimated glomerular filtration rates. Cardiovascular health was assessed using new "Life's Essential 8" metrics. Cox regression analyses based on NHANES data were used to determine the associations between ICVHMs and cardiovascular mortality in patients with renal insufficiency.
RESULTS:
During a mean follow-up of 6.58 years, ideal cardiovascular health (hazard ratio [HR] = 0.42; 95% confidence interval [CI]; 0.25-0.70) and ideal health behavior (HR = 0.53; 95% CI; 0.39-0.73) reduced cardiovascular mortality in participants with renal insufficiency. For each one ICVHM increment, a 25% reduction in cardiovascular mortality was recorded (95% CI; 0.69-0.82). When compared with participants with normal renal function, for those with mild renal insufficiency, the HR for cardiovascular mortality gradually decreased from 1.47 (95% CI; 0.85-2.52) in those who had ≤1 ICVHMs to 0.30 (95% CI; 0.12-0.77) in participants who had >6 ICVHMs.
CONCLUSIONS
From an ICVHM perspective, enhanced cardiovascular benefits were observed in individuals with renal insufficiency, coupled with a reduced risk of all-cause mortality. Furthermore, when compared with individuals with normal renal function, increased ICVHMs can mitigate adverse risks associated with renal impairment.
Humans
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Male
;
Female
;
Nutrition Surveys
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Middle Aged
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Renal Insufficiency/physiopathology*
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Aged
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Prognosis
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Adult
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Cardiovascular Diseases/mortality*
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Glomerular Filtration Rate/physiology*
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Proportional Hazards Models
3.Research progress of platelet function in immune regulation: from basic to clinical
Weihua HUANG ; Qiu SHEN ; Heshan TANG ; Ziyang FENG ; Min YE ; He ZHANG ; Ying LIU ; Baohua QIAN ; Zhanshan CHA
Chinese Journal of Blood Transfusion 2025;38(11):1592-1601
Traditionally, platelets, which are anucleate cell fragments derived from blood cells, have been primarily associated with their pivotal functions in hemostasis and thrombosis. However, recent research has elucidated their significant role in immune regulation, highlighting their expression of various immune receptors, involvement in numerous immune-related signaling pathways, and activation of diverse effector functions. This paper elaborates on the fundamental biological characteristics and immune functions of platelets, the involvement of activated platelets in immune regulation, and their prospective applications in clinical therapy. Furthermore, the paper discusses future directions in platelet immune research, as well as the prospects and developmental trends in immunotherapy, aiming to furnish a thorough reference for the investigation and clinical utilization of platelets within the domain of immune regulation.
4.Epidemiological characteristics of human respiratory syncytial virus in influenza-like illness in Shenzhen City from 2019 to 2023
Ying SUN ; Weihua WU ; Yalan HUANG ; Shisong FANG ; Hui LIU ; Min JIANG ; Jun MENG ; Xuan ZOU ; Xin WANG
Chinese Journal of Preventive Medicine 2024;58(8):1117-1123
Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023.Methods:Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis.Results:A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant ( χ 2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions:The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.
5.Analysis of latent class and its influencing factors of fall risk in elderly patients with lung cancer
Yang WANG ; Weihua YU ; Haiyan ZHANG ; Ying REN ; Li ZHANG
Chinese Journal of Practical Nursing 2024;40(23):1796-1802
Objective:To investigate the current situation of fall risk in elderly patients with lung cancer, explore the latent classes and influencing factors of fall risk in elderly patients with lung cancer, and provide reference for the formulation of individualized nursing measures to prevent falls.Methods:A cross-sectional study was conducted from November 2022 to March 2023. A total of 410 elderly patients with lung cancer in the oncology department of the Third Affiliated Hospital of Anhui Medical University and the First Affiliated Hospital of University of Science and Technology of China were selected by convenience sampling using the general situation questionnaire. The general data questionnaire, the Chinese version of Groningen Frailty Indicator, Morse Fall Scale and Tinetti Performance Oriented Mobility Assessment were used to investigate. The latent classes of fall risk were analyzed, and the factors influencing the latent classes of fall risk were analyzed by one-way analysis of variance, Chi-square test and multiple Logistic regression.Results:A total of 404 valid questionnaires were collected, with age of (67.10 ± 7.24) years old, including 293 males and 111 females. The fall risk score of 404 elderly patients with lung cancer was 0-110 (40.35 ± 20.18) points, and the fall risk could be divided into three latent classes, including cognitive deficiency (8.42%, 34/404), mobility limitation (40.10%, 162/404) and limb weakness (51.49%, 208/404). Multiple logistic regression results showed that marital status, monthly income level, diabetes history and gait ability were the influencing factors of fall risk in elderly patients with lung cancer ( OR values were 0.180-37.681, all P<0.05). Conclusions:There is heterogeneity in the risk of falls in elderly patients with lung cancer. According to individual characteristics, medical staff can propose targeted measures to prevent falls and improve the safety and quality of life of elderly patients with lung cancer.
6.Functional analysis of virus-specific CD4 +T cells and CD8 +T cells in patients with liver injury caused by Epstein-Barr virus infection
Yu LI ; Fengyu XI ; Weihua ZHANG ; Ying GAO
Chinese Journal of Hepatology 2024;32(1):64-71
Objective:To analyze the functional differences between virus-specific CD4 +T cells and CD8 +T cells in patients infected with Epstein-Barr virus (EBV) who develop liver injury and those who do not. Methods:45 cases of EBV infections were enrolled, including 28 cases developing liver injuries and 17 that did not. Mononuclear cells from peripheral blood were isolated. CD4 +T cells and CD8 +T cells were purified and cultured using recombinant EBV core antigen 2 (EBNA2) for 96 h with stimulation. The CCK-8 method was used to detect cell proliferation. Flow cytometry was used to detect the proportion of CD4 +T cells and CD8 +T cells. An enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of CD4 +T cells secreting cytokines and CD8 +T cells secreting molecular toxicity. Real-time quantitative PCR was used to detect the mRNA levels of transcription factors and molecular toxicity in CD4 +T cell subsets. Flow cytometry was used to detect the immune checkpoints at molecular levels in CD8 +T cells. The inter-group comparison was performed using a t-test or Mann-Whitney test. Results:There was no statistically significant difference ( P > 0.05) in the proliferation proportion of peripheral blood mononuclear cells, CD4 +T cells, and CD8 +T cells after stimulation with recombinant EBNA2 between the EBV-infected non-liver injury group and the infected liver injury group ( P > 0.05). There was no statistically significant difference in the proportion of CD4 +T cells secreting related cytokines and the mRNA levels of transcription factors after stimulation with recombinant EBNA2 between the EBV-infected non-liver injury group and the infected liver injury group ( P > 0.05).The levels of perforin secreted by CD8 +T cells and granzyme B after stimulation with recombinant EBNA2 were higher in the EBV infection-induced liver injury group than those in the non-liver injury group [(75.51±23.33) pg/ml vs. (58.99±18.39) pg/ml, P = 0.017] [(117.8±44.55) pg/ml vs. (90.22±34.21) pg/ml, P = 0.034]. The mRNA levels of Fas ligand and tumor necrosis factor-related apoptosis-inducing ligand in CD8 +T cells in the liver injury group caused by EBV infection were approximately 1.5 and 1.2 times higher than those in the non-liver injury group, respectively, and the difference was statistically significant ( P < 0.001), but there was no statistically significant difference in the proportional expression of programmed cell death-1 and cytotoxic T lymphocyte-associated antigen-4 in CD8 +T cells between the EBV-infected non-liver injury group and infected liver injury group ( P > 0.05) Conclusion:Patients with liver injury caused by EBV infection have strong virus-specific CD8 + T cell toxic effects, which may mediate EBV-induced liver injury.
7.Epidemiological characteristics of human respiratory syncytial virus in influenza-like illness in Shenzhen City from 2019 to 2023
Ying SUN ; Weihua WU ; Yalan HUANG ; Shisong FANG ; Hui LIU ; Min JIANG ; Jun MENG ; Xuan ZOU ; Xin WANG
Chinese Journal of Preventive Medicine 2024;58(8):1117-1123
Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023.Methods:Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis.Results:A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant ( χ 2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions:The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.
8.Development and external validation of a quantitative diagnostic model for malignant gastric lesions in clinical opportunistic screening: A multicenter real-world study
Hongchen ZHENG ; Zhen LIU ; Yun CHEN ; Ping JI ; Zhengyu FANG ; Yujie HE ; Chuanhai GUO ; Ping XIAO ; Chengwen WANG ; Weihua YIN ; Fenglei LI ; Xiujian CHEN ; Mengfei LIU ; Yaqi PAN ; Fangfang LIU ; Ying LIU ; Zhonghu HE ; Yang KE
Chinese Medical Journal 2024;137(19):2343-2350
Background::Clinical opportunistic screening is a cost-effective cancer screening modality. This study aimed to establish an easy-to-use diagnostic model serving as a risk stratification tool for identification of individuals with malignant gastric lesions for opportunistic screening.Methods::We developed a questionnaire-based diagnostic model using a joint dataset including two clinical cohorts from northern and southern China. The cohorts consisted of 17,360 outpatients who had undergone upper gastrointestinal endoscopic examination in endoscopic clinics. The final model was derived based on unconditional logistic regression, and predictors were selected according to the Akaike information criterion. External validation was carried out with 32,614 participants from a community-based randomized controlled trial.Results::This questionnaire-based diagnostic model for malignant gastric lesions had eight predictors, including advanced age, male gender, family history of gastric cancer, low body mass index, unexplained weight loss, consumption of leftover food, consumption of preserved food, and epigastric pain. This model showed high discriminative power in the development set with an area under the receiver operating characteristic curve (AUC) of 0.791 (95% confidence interval [CI]: 0.750–0.831). External validation of the model in the general population generated an AUC of 0.696 (95% CI: 0.570–0.822). This model showed an ideal ability for enriching prevalent malignant gastric lesions when applied to various scenarios.Conclusion::This easy-to-use questionnaire-based model for diagnosis of prevalent malignant gastric lesions may serve as an effective prescreening tool in clinical opportunistic screening for gastric cancer.
9.Research on Cost Control of Hospital Administrative Functional Departments Based on HRP+BSC
Wanhui ZHENG ; Weihua YANG ; Li YANG ; Yun ZHANG ; Ying CHEN ; Kesi WANG ; Linlin JIANG ; Lin PENG
Chinese Hospital Management 2024;44(6):65-68
Objective to analyze the Budget Execution Rate of administrative departments in sample hospitals,and to realize the cost control of Budget performance integration with Balanced Score Card(BSC)Financial Dimension Quantitative Assessment.Methods The budget and execution data of 23 administrative departments were collected from January to June in the sample 2023.The budget execution rate was calculated and cleaned,and the data were segmented by histogram.Using the financial dimension 25 to divide by the total number of items in each department's budget to obtain the scoreof each item in each department,and using the interpolation method to calculate the cost scores of each department,then into the performance appraisal.Results(1)Each item score should be multiplied by item coefficient,and then sum up;(2)The total score of self-executing Project+the total score of centralized executing project.(3)Cost score:1 the scores of 8 departments of non-homing items were 5.54~15.76,2 the scores of 15 departments of homing items were 7.68~17.06.Conclusion It adopts the concept of BSC and Hospital Resource Planning as the cost control of administrative departments to make up for the lack of qualitative and quantitative BSC;can focus on monitoring the dispersion of large data;histogram score results of segmentation objective and easy to operate,makes the interpolation calculation more credible.In a word,it provides quantitative ideas and methods in the aspects of different responsibilities and difficult performance evaluation.
10.A nomogram model based on CT imaging features to predict the pathological risk classification of small intestinal stromal tumors
Ying XU ; Weihua ZHI ; Lu LI ; Ze TENG ; Huiqin ZHANG ; Feng YE ; Xinming ZHAO
Chinese Journal of Radiology 2024;58(10):1063-1068
Objective:To explore the value of the imaging nomogram model based on preoperative CT features of patients with small intestinal stromal tumor (SIST) in predicting pathological risk classification.Methods:This was a cohort study. The patients who were diagnosed as primary SIST by postoperative pathology in Cancer Hospital, Chinese Academy of Medical Sciences from January 2014 to October 2023 were retrospectively included. According to the modified 2008 National Institutes of Health classification criteria, the patients were divided into a pathological intermediate/high-risk group (86 cases) and a very low/low-risk group (56 cases). The features of preoperative enhanced CT images of SIST were analyzed, including tumor boundary, necrosis, intra-tumoral hemorrhage, intra-tumoral calcification, growth pattern, enhancement pattern, enhancement degree, enlarged vessels feeding or draining the mass (EVFDM), and tumor location. Patients were followed up to determine the recurrence-free survival (RFS). Univariate and multivariate logistic regression were used to screen the independent predictors of SIST with pathological medium/high-risk group. The independent predictors were combined to construct an imaging prediction model, and a nomogram was drawn. The receiver operating characteristic curve was used to evaluate the predictive efficacy of the model. The Kaplan-Meier method was used to draw the survival curve, and the log-rank test was used to compare the differences in RFS.Results:Univariate logistic regression results showed that tumor shape, necrosis, intra-tumoral hemorrhage, EVFDM, and tumor location were potentially related to medium/high-risk SIST. Multivariate logistic regression results showed that tumor shape ( OR=3.92, 95% CI 1.58-9.71, P=0.003), necrosis ( OR=4.60, 95% CI 1.91-11.09, P<0.001), and EVFDM ( OR=6.25,95% CI 1.74-22.47, P=0.005) were independent predictors of pathological intermediate/high-risk SIST. The area under the curve of the imaging predictive model combining the three predictors to predict the intermediate/high-risk SIST was 0.835 (95% CI 0.769-0.901), the sensitivity was 0.810, the specificity was 0.839, and the accuracy was 0.789. Taking the cut-off value (0.810) as the boundary value, the patients were divided into the high-risk group (74 cases) and the low-risk group (68 cases) according to the prediction results. The median RFS of the predicted high-risk group was poorer than that of the predicted low-risk group, and the difference was statistically significant ( χ2=5.20, P=0.023). Conclusions:The imaging nomogram model based on preoperative CT image features shape, necrosis, and EVFDM can effectively predict the pathological intermediate/high-risk SIST before surgery and has important predictive value for postoperative recurrence.


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