1.Trends in death and life lost due to falls among the elderly in Wenzhou City from 2015 to 2023
LI Huijun ; YE Zhenmiao ; FAN Lihui ; ZHENG Yuhang ; XIE Yimin ; JIANG Xuexia ; GAO Haojun ; ZHANG Mohan ; LUO Yongyuan
Journal of Preventive Medicine 2025;37(5):460-464
Objective:
To investigate the trends in mortality and life loss due to falls among the elderly in Wenzhou City, Zhejiang Province, so as to provide the basis for formulating prevention and control measures for falls among the elderly.
Methods:
The data on fall-related deaths among the elderly aged 60 and above in Wenzhou City were collected through the Wenzhou Chronic Disease Monitoring and Management Information System from 2015 to 2023. The crude mortality was calculated and standardized using the data from the Sixth National Population Census in 2010. The life loss were measured using potential years of life lost (PYLL), average years of life lost (AYLL), and potential years of life lost rate (PYLLR). The trends in mortality and life loss among the elderly were analyzed using the annual percent change (APC) and average annual percent change (AAPC).
Results:
There were 11 378 deaths due to falls among the elderly in Wenzhou City from 2015 to 2023, with a crude mortality of 82.67/100 000 and a standardized mortality of 65.32/105, which appeared no significant changing trend (AAPC=3.401%、2.995%,both P>0.05). There was a tendency towards a rise from 2019 to 2023 (APC=12.592%、11.507%, both P<0.05). The majority of falls occurred at home, with 6 312 cases accounting for 55.48%. The primary types of fall-related deaths were slips, trips, and falls on the same level, with 8 541 cases representing 75.07%. The crude mortality and standardized mortality of falls in males were 76.63/105 and 60.86/105, which were lower than that in females at 88.72/100 000 and 70.33/100 000 (both P<0.05), and the trends were consistent with the overall population. The crude mortality of falls among the elderly increased with age (P<0.05). From 2015 to 2023, the crude mortality of falls among the elderly aged 60 to <65 years showed an upward trend (AAPC=4.860%, P<0.05), while no significant trend was observed in other age groups (all P>0.05). The PYLL was 5 123 person-years, the AYLL was 0.45 years per person, and the PYLLR was 0.37‰. From 2015 to 2023, PYLL showed an upward trend (AAPC=5.477%, P<0.05). The PYLL, AYLL, and PYLLR for males were 3.08 times, 3.48 times, and 2.67 times those of females, respectively.
Conclusions
From 2015 to 2023, the mortality of falls among the elderly in Wenzhou City had remained relatively stable. However, PYLL showed an upward trend. Males and older seniors were key groups for falls prevention. It is recommended to enhance health education and promote age-friendly home modifications to prevent falls among the elderly.
2.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
3.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
4.Frequency of JK (a-b-) in Yichang: genetic pedigree analysis of Jk (a-b-) and Jka weak expression
Juncui GAO ; Yurong YUAN ; Yuxiang LIN ; Haojun ZHANG ; Shangen ZHENG
Chinese Journal of Blood Transfusion 2022;35(2):154-156
【Objective】 To explore the molecular hereditary and frequency of Jk(a-b-) in blood donors in Yichang. 【Methods】 A total of 49 999 samples from Yichang Red Cross Central Blood Station were screened for Jk(a-b-) by urea hemolysis test(2 mol /L). The phenotypes of JK (a-b -) probands and their families were confirmed by monoclonal anti-Jka and anti-Jkb, and the whole exon of SLC14A1 gene was sequenced. 【Results】 The frequency of Jk(a-b-) in Yichang blood donors was 0.004% (2/49 999), and the exon sequencing of SLC14A1 gene confirmed that both two probands were JK*02N.01 caused by c. 342-1G>A homozygous mutation.Besides, JK*01W.01 allele was observed in the pedigree analysis, and weak expression of Jka was found in 4 out of 11 family members. 【Conclusion】 The frequency of JK (a-b -) in Yichang blood donors is similar to those in Shanghai 0.004%(2/48 400), and both caused by JK * 02N.01 allele with high frequency in Southeast Asia. The epidemiological survey of JK * 01w.01 allele frequency should be further performed.
5.Application of Delphi method in modular allocation of emergency medical equipment
Ying LUO ; Hongwei GAO ; Hui DING ; Jian WEN ; Haojun FAN ; Shike HOU
Chinese Medical Equipment Journal 2015;(9):44-46
To study the equipment modular allocation in the emergency medical unit after Beijing emergency public affairs. Using an improved Delphi method, 25 experts from various fields in Beijing were involved into two rounds consultations. The questionnaire of the first round consultation was formed based on analysis of emergency rescue equipment. Based on the result of the first round consultation, the questionnaire of the second round consultation was set up. The two rounds of questionnaires had the responding rates of experts 100% respectively, and the au-thoritative coefficients of the experts were 0.81 and 0.88. An emergency medical rescue equipment solution with three de-grees modular configuration in Beijing was made based on the consultations and experts' advices. The solu-tion develops the emergency medical service ability of mobile medical units and vehicle-mounted mobile hospital. LUO Ying and GAO Hong-wei are the first authors who contributecl equally to the article.


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