1.Clinical and drug sensitivity characteristics of invasive non-typhoidal Salmonella enteritis in children aged 0-6 years in Chengdu, China, 2022-2023.
Ling-Rong YANG ; Chun-Ting ZHOU ; Jing GUO ; Yu-Lu WU ; Fu XIONG
Chinese Journal of Contemporary Pediatrics 2025;27(3):315-320
OBJECTIVES:
To investigate the clinical characteristics and drug resistance profile of invasive non-typhoidal Salmonella (NTS) enteritis in children in Chengdu, China, providing a reference for rational drug use and empirical treatment in clinical practice.
METHODS:
A retrospective analysis was conducted on the clinical data of 130 children with invasive bacterial enteritis due to NTS identified by fecal bacterial culture and the results of drug sensitivity tests for NTS in Chengdu from January 2022 to December 2023.
RESULTS:
NTS infections were mainly observed from April to September (113 cases, 86.9%), with a peak in August (36 cases, 27.7%). Children aged <36 months accounted for 86.2% (112/130) of all cases, and the main symptoms were diarrhea (130 cases, 100%), fever (123 cases, 94.6%), and hematochezia (112 cases, 86.2%). The 130 NTS isolates exhibited a sensitivity rate of 64.6% to ceftriaxone and 63.8% to cefotaxime, and a sensitivity rate of >90.0% to piperacillin-tazobactam and nitrofurantoin (nitrofurans). The detection rate of multidrug-resistant strains was 48.5% (63/130), and the clinical efficacy of third-generation cephalosporins used in 38 patients (29.2%) was inconsistent with the results of drug sensitivity tests.
CONCLUSIONS
The peak of invasive NTS enteritis in children aged 0-6 years occurs in August in the Chengdu area, with a relatively high incidence rate in children aged <36 months. The situation of drug resistance is severe for NTS, and piperacillin-tazobactam may be an effective option for treating multidrug-resistant NTS infections in children, while nitrofuran antibiotics might be used to treat such infections.
Humans
;
Infant
;
Child, Preschool
;
Enteritis/microbiology*
;
Retrospective Studies
;
Male
;
Salmonella Infections/microbiology*
;
Female
;
Child
;
Salmonella/drug effects*
;
Infant, Newborn
;
Microbial Sensitivity Tests
;
Anti-Bacterial Agents/therapeutic use*
2.Inflammatory Bowel Disease and Dementia: Evidence Triangulation from a Meta-Analysis of Observational Studies and Mendelian Randomization Study.
Di LIU ; Mei Ling CAO ; Shan Shan WU ; Bing Li LI ; Yi Wen JIANG ; Teng Fei LIN ; Fu Xiao LI ; Wei Jie CAO ; Jin Qiu YUAN ; Feng SHA ; Zhi Rong YANG ; Jin Ling TANG
Biomedical and Environmental Sciences 2025;38(1):56-66
OBJECTIVE:
Observational studies have found associations between inflammatory bowel disease (IBD) and the risk of dementia, including Alzheimer's dementia (AD) and vascular dementia (VD); however, these findings are inconsistent. It remains unclear whether these associations are causal.
METHODS:
We conducted a meta-analysis by systematically searching for observational studies on the association between IBD and dementia. Mendelian randomization (MR) analysis based on summary genome-wide association studies (GWASs) was performed. Genetic correlation and Bayesian co-localization analyses were used to provide robust genetic evidence.
RESULTS:
Ten observational studies involving 80,565,688 participants were included in this meta-analysis. IBD was significantly associated with dementia (risk ratio [ RR] =1.36, 95% CI = 1.04-1.78; I 2 = 84.8%) and VD ( RR = 2.60, 95% CI = 1.18-5.70; only one study), but not with AD ( RR = 2.00, 95% CI = 0.96-4.13; I 2 = 99.8%). MR analyses did not supported significant causal associations of IBD with dementia (dementia: odds ratio [ OR] = 1.01, 95% CI = 0.98-1.03; AD: OR = 0.98, 95% CI = 0.95-1.01; VD: OR = 1.02, 95% CI = 0.97-1.07). In addition, genetic correlation and co-localization analyses did not reveal any genetic associations between IBD and dementia.
CONCLUSION
Our study did not provide genetic evidence for a causal association between IBD and dementia risk. The increased risk of dementia observed in observational studies may be attributed to unobserved confounding factors or detection bias.
Humans
;
Mendelian Randomization Analysis
;
Inflammatory Bowel Diseases/complications*
;
Dementia/etiology*
;
Observational Studies as Topic
;
Genome-Wide Association Study
3.Relationship between occupational coping self-efficacy and health-related productivity loss in ICU nurses: path analysis of perceived social support
Jijun WU ; Xian RONG ; Zhenfan LIU ; Mengxue FU ; Wenyi XIE ; Xiangeng ZHANG
Sichuan Mental Health 2024;37(1):77-82
BackgroundCompared with absenteeism, health-related productivity loss has a long-lasting negative effect, and poses a greater harm and loss. The health-related productivity loss is mediated by self-efficacy, and perceived social support has been shown to have an impact on health-related productivity loss, whereas the interaction mechanism among the three remains unclear. ObjectiveTo investigate the status of perceived social support, occupational coping self-efficacy and health-related productivity loss among ICU nurses, and to test the mediation role of perceived social support in the relationship between occupational coping self-efficacy and health-related productivity loss. MethodsFrom September to November, 2021, purposive sampling technique was adopted to select 468 ICU nurses in 8 tertiary hospitals in Sichuan Province. Subjects were assessed using self-made general information questionnaire, Perceived Social Support Scale (PSSS), Occupational Coping Self Efficacy Scale for Nurses (OCSE-N) and Stanford Presenteeism Scale-6 (SPS-6). Pearson correlation analysis was used to examine the correlation among variables. Amos 24.0 was utilized to test the mediation role of perceived social support in the relationship between occupational coping self-efficacy and health-related productivity loss. ResultsA total of 415 ICU nurses completed the valid questionnaire survey. ICU nurses scored (63.13±11.62) on PSSS, (22.24±6.15) on OCSE-N, and (16.83±4.24) on SPS-6. Health-related productivity loss was detected in 279 ICU nurses (67.23%). Correlation analysis denoted that PSSS total score was positively correlated with OCSE-N total score (r=0.348, P<0.05), and negatively correlated with SPS-6 total score (r=-0.274, P<0.05). OCSE-N total score was negatively correlated with SPS-6 total score (r=-0.421, P<0.05). The direct effect value of occupational coping self-efficacy on health-related productivity loss was -0.401, and perceived social support showed a mediation role in the relationship between occupational coping self-efficacy and health-related productivity loss (the indirect effect value was -0.052, accounting for 11.48% of the total effect). ConclusionThe occupational coping self-efficacy of ICU nurses may affect the health-related productivity loss through the action path of perceived social support.[Funded by Scientific Research Project of Sichuan Provincial Health Commission (number, 19PJ042)]
4.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
5.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
6.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
7.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
8.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
9.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
10.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

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