1.Expert consensus on reprocessing of medical ultrasound probes
Xi YAO ; Luzeng CHEN ; Anhua WU ; Liubo ZHANG ; Chunyan MA ; Li WANG ; Huixue JIA ; Xun HUANG ; Meng CAI ; Qing ZHANG ; Tao CHEN ; Hongwen FEI ; Yunxi LIU ; Guiqiu CHEN ; Xiaodong GAO ; Xin LI ; Baohua LI ; Guoqing HU ; Ping LIANG ; Liuyi LI
Chinese Journal of Infection Control 2025;24(3):301-307
Medical ultrasound technology is widely used for diagnosis and therapy in clinical practice.Ultrasound probes,which are directly contact with patients,pose a potential risk of pathogen transmission.This expert consen-sus was developed by a multidisciplinary team based on international guidelines,standards in China,and the results of a national survey,aiming to reduce the risk of healthcare-associated infection through standardizing reprocessing of medical ultrasound probes,and formulating consensus recommendations with the Delphi method.The consensus clarifies the reprocessing principles for three types of ultrasound probes of different infection risks:external-use ul-trasound probes,interventional percutaneous ultrasound probes,and internal-use ultrasound probes,puts forward systematic suggestions on the reprocessing standards and disinfection levels of ultrasound probe isolation covers and coupling agents,the reprocessing procedures and methods of ultrasound probes,as well as architectural layout and management of reprocessing,so as to provide a scientific prevention and control framework for ensuring ultrasound diagnosis and therapy safety.
2.Construction and Validation of a Prediction Model Combined with Traditional Chinese Medicine Constitution for the Risk of Pre-Frailty and Frailty among the Elderly in Communities of Chengdu
Yanyun HE ; Huixue HU ; Lirong ZENG ; Chongli CHEN ; Wenbin WU
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(2):437-445
Objective Analysing the risk factors for the occurrence of pre-frailty or frailty of the community elderly in Chengdu and constructing a risk prediction model.Methods The general information questionnaire,MNA-SF scale,Changsha version of the MoCA scale,PSQI scale,FRAIL scale,and Traditional Chinese Medicine Constitution Scale for the elderly were used in the cross-sectional survey.A total of 400 elderly people who completed community physical examinations in Chengdu from April 2022 to April 2023 were selected as the research objects.Based on multivariate Logistic regression analysis,the independent influencing factors were determined,and RStudio software was used to construct a risk prediction model nomogram.The physical examination data of 200 elderly people collected in Deyang City from June 2023 to October 2023 were used for external verification.The area under the ROC curve,Hosmer-Lemeshow test and calibration curve,and decision curve were used to evaluate the discrimination,calibration,and clinical practicability of the model.Results Age,abdominal circumference,number of chronic diseases,PSQI score,allergy history,and balanced constitution were independent influencing factors for pre-frailty/frailty in the elderly in the community(P<0.05),and the regression equation was as follows:Logit(P)=0.063×age+0.025×abdominal circumference-1.006×allergy history+0.300×number of chronic diseases+0.082×PSQI-1.013×balanced constitution-8.269.The area under the ROC curve of the modeling group was 0.779(95%CI:0.733-0.825),the sensitivity was 67.1%,the specificity was 76.3%,and the maximum Youden index was 0.434.The area under the ROC curve of the external validation group was 0.783(95%CI:0.709-0.856),the sensitivity was 62.0%,the specificity was 95.0%,and the maximum Youden index was 0.570.The Hosmer-Lemeshow goodness of fit test results of the two groups were χ2=3.285,P=0.915 and χ2=8.376,P=0.398,and the calibration curve fit was good.DCA showed that the threshold probability of clinical benefit was 5%-99%and 21%-98%.Conclusions The pre-frailty/frailty risk prediction model established in this study has good predictive efficacy for the elderly in the community,and the use of this model for screening and early intervention of high-risk populations can be clinically beneficial.
3.Expert consensus on reprocessing of medical ultrasound probes
Xi YAO ; Luzeng CHEN ; Anhua WU ; Liubo ZHANG ; Chunyan MA ; Li WANG ; Huixue JIA ; Xun HUANG ; Meng CAI ; Qing ZHANG ; Tao CHEN ; Hongwen FEI ; Yunxi LIU ; Guiqiu CHEN ; Xiaodong GAO ; Xin LI ; Baohua LI ; Guoqing HU ; Ping LIANG ; Liuyi LI
Chinese Journal of Infection Control 2025;24(3):301-307
Medical ultrasound technology is widely used for diagnosis and therapy in clinical practice.Ultrasound probes,which are directly contact with patients,pose a potential risk of pathogen transmission.This expert consen-sus was developed by a multidisciplinary team based on international guidelines,standards in China,and the results of a national survey,aiming to reduce the risk of healthcare-associated infection through standardizing reprocessing of medical ultrasound probes,and formulating consensus recommendations with the Delphi method.The consensus clarifies the reprocessing principles for three types of ultrasound probes of different infection risks:external-use ul-trasound probes,interventional percutaneous ultrasound probes,and internal-use ultrasound probes,puts forward systematic suggestions on the reprocessing standards and disinfection levels of ultrasound probe isolation covers and coupling agents,the reprocessing procedures and methods of ultrasound probes,as well as architectural layout and management of reprocessing,so as to provide a scientific prevention and control framework for ensuring ultrasound diagnosis and therapy safety.
4.Construction and Validation of a Prediction Model Combined with Traditional Chinese Medicine Constitution for the Risk of Pre-Frailty and Frailty among the Elderly in Communities of Chengdu
Yanyun HE ; Huixue HU ; Lirong ZENG ; Chongli CHEN ; Wenbin WU
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(2):437-445
Objective Analysing the risk factors for the occurrence of pre-frailty or frailty of the community elderly in Chengdu and constructing a risk prediction model.Methods The general information questionnaire,MNA-SF scale,Changsha version of the MoCA scale,PSQI scale,FRAIL scale,and Traditional Chinese Medicine Constitution Scale for the elderly were used in the cross-sectional survey.A total of 400 elderly people who completed community physical examinations in Chengdu from April 2022 to April 2023 were selected as the research objects.Based on multivariate Logistic regression analysis,the independent influencing factors were determined,and RStudio software was used to construct a risk prediction model nomogram.The physical examination data of 200 elderly people collected in Deyang City from June 2023 to October 2023 were used for external verification.The area under the ROC curve,Hosmer-Lemeshow test and calibration curve,and decision curve were used to evaluate the discrimination,calibration,and clinical practicability of the model.Results Age,abdominal circumference,number of chronic diseases,PSQI score,allergy history,and balanced constitution were independent influencing factors for pre-frailty/frailty in the elderly in the community(P<0.05),and the regression equation was as follows:Logit(P)=0.063×age+0.025×abdominal circumference-1.006×allergy history+0.300×number of chronic diseases+0.082×PSQI-1.013×balanced constitution-8.269.The area under the ROC curve of the modeling group was 0.779(95%CI:0.733-0.825),the sensitivity was 67.1%,the specificity was 76.3%,and the maximum Youden index was 0.434.The area under the ROC curve of the external validation group was 0.783(95%CI:0.709-0.856),the sensitivity was 62.0%,the specificity was 95.0%,and the maximum Youden index was 0.570.The Hosmer-Lemeshow goodness of fit test results of the two groups were χ2=3.285,P=0.915 and χ2=8.376,P=0.398,and the calibration curve fit was good.DCA showed that the threshold probability of clinical benefit was 5%-99%and 21%-98%.Conclusions The pre-frailty/frailty risk prediction model established in this study has good predictive efficacy for the elderly in the community,and the use of this model for screening and early intervention of high-risk populations can be clinically beneficial.
5.A multicenter intervention study on hand hygiene compliance of health care workers in neonatal intensive care units
Junhong REN ; Anhua WU ; Bijie HU ; Xiuyue ZHANG ; Zhiyong ZONG ; Weiguang LI ; Huai YANG ; Yun YANG ; Jianguo WEN ; Huixue JIA ; Liuyi LI
Chinese Journal of Infection Control 2015;(8):557-560
Objective To improve hand hygiene (HH)compliance of health care workers (HCWs)in neonatal in-tensive care units(NICUs)in China through a series of intervention measures.Methods A multicenter study was conducted,17 tertiary first class hospitals in 9 provinces and cities were selected,HH compliance of HCWs in these hospitals were investigated every month according to HH investigation method of World Health Organization.From October 1 ,2013 to March 31 ,2014 was pre-intervention stage;from April 1 ,2014 to September 30,2014 was post-intervention stage,timely feedback and intensified training were conducted at post-intervention stage.Results HH compliance rates of HCWs before and after intervention were 80.29% and 80.85% respectively,there was no sig-nificant difference (P >0.05).HH compliance rates of HCWs in different sizes of ICUs were significantly different before and after intervention (all P <0.05),in NICUs with<20 beds and 20-30 beds after the intervention were both significantly higher than before intervention (both P <0.05 ),while >30 beds were significantly lower than before intervention(P <0.001 );HH compliance rate of cleaners increased from 58.82% before intervention to 68.09% after intervention (P <0.05 );Of different hand hygiene indications,except before clean/aseptic task, compliance to the other HH indications were significantly different between before and after intervention(all P <0.05).Conclusion HH compliance is high among HCWs in NICUs in China,intervention measures,such as inten-sified training and timely feedback have certain influence in compliance to HH among HCWs at different sizes of ICUs,of different occupations,and at different HH indications.
6.Multicenter study on epidemiology of device-associated infection in neonatal intensive care units
Junhong REN ; Huan YIN ; Anhua WU ; Bijie HU ; Xiuyue ZHANG ; Tieying HOU ; Zhiyong ZONG ; Weiguang LI ; Huai YANG ; Yun YANG ; Yunxi LIU ; Jianguo WEN ; Qun LU ; Huixue JIA ; Liuyi LI
Chinese Journal of Infection Control 2015;(8):530-534
Objective To investigate the epidemiological characteristics of device-associated infection (DAI)in neonatal intensive care units(NICUs)of tertiary first-class hospitals in China,and provide scientific evidence for the prevention and control of neonatal DAI.Methods Neonates in NICUs at 17 hospitals of 9 provinces from October 2013 to September 2014 were selected for multicenter study,DAI was surveyed prospectively according to the uni-form diagnostic criteria and methods.Results A total of 12 998 neonates were monitored,the total patient-days were 126 125 d,13 cases of central line-associated bloodstream infection (CLABSI)and 70 cases of ventilator-asso-ciated pneumonia (VAP)occurred,central line utilization rate was 15.56%,incidence of CLABSI was 0.66/1 000 device-days;ventilator utilization rate was 7.67%,incidence of VAP was 7.23/1 000 device-days.Utilization rates of central line and respirator in neonates with body weight ≤ 1 000 g was the highest,which were 61 .06% and 29.91 % respectively;In NICUs with 20-30 beds,utilization rate of central line was the highest(16.67%),and res-pirator was the lowest(4.11 %);of hospitals in different regions,central line and respirator utilization rate in south-west China was the highest.Of different sizes of ICUs,VAP per 1 000 device-days was the lowest in NICUs with 20-30 beds(2.36 ‰).Difference in incidence of CLABSI and VAP per 1 000 device-days in neonates at NICUs of different regions were significantly different;incidence of CLABSI and VAP per 1 000 device-days was highest in southern China(2.68 ‰ and 31 .06‰ respectively),followed by southwest region.Of different quarters,incidence of CLABSI,and VAP per 1 000 device-days were not significantly different(all P >0.05).Conclusion Device utili-zation rate and incidence of DAI in China are both high,and are different in neonates of different birth weight,at different sizes of NICUs,as well as different regions,monitoring should be intensified,prevention and control measures should be implemented according to infection characteristics.
7.Multicenter study on targeted monitoring of surgical site infection and risk factors
Yu ZHANG ; Shengnan LIU ; Liuyi LI ; Huixue JIA ; Qun LU ; Jianguo WEN ; Huai YANG ; Weiguang LI ; Anhua WU ; Yun YANG ; Zhiyong ZONG ; Bijie HU ; Yingchun XU ; Yihong JIANG ; Li JIANG ; Xiuyue ZHANG ; Xuefen HE ; Jinlan XIE ; Tieying HOU
Chinese Journal of Infection Control 2015;(8):544-547,556
Objective To investigate the status and risk factors of surgical site infection (SSI)in hospitals in Chi-na,so as to provide theoretical basis for the prevention and treatment of SSI.Methods Four types of surgeries (colorectal surgery,abdominal hysterectomy,femoral neck repair surgery,and vascular surgery)in 29 hospitals were monitored prospectively,risk factors for SSI were analyzed.Results A total of 6 309 surgical procedures were investigated,incidence of SSI was 1 .60%.Incidences of SSI in patients receiving colorectal surgery,abdominal hys-terectomy,femoral neck repair surgery,and vascular surgery were 4.47%(74/1 655 ),1 .03%(22/2 139),0.21 %(5/2 372),and 0.00% (0/143 )respectively.The incidences of SSI were different among different regions (χ2 =114.213,P <0.05).The most common SSI was superficial incisional infection,the next was deep incisional infec-tion.The major pathogens causing SSI were Escherichia coli ,Enterococcus spp .,coagulase negative staphylococ-cus ,Staphylococcus aureus ,and Klebsiella pneumoniae .The independent risk factors for SSI were male patients, long duration of surgery,and high NNIS score.Conclusion The risk of SSI is varied with different types of surger-ies.Male,long duration of surgery,and high NNIS score can increase the risk of postoperative SSI.
8.Targeted monitoring on surgical site infection and effect of intervention
Yu ZHANG ; Zhengkang LI ; Liuyi LI ; Huixue JIA ; Qun LU ; Jianguo WEN ; Huai YANG ; Weiguang LI ; Anhua WU ; Yun YANG ; Zhiyong ZONG ; Bijie HU ; Yingchun XU ; Yihong JIANG ; Li JIANG ; Xiuyue ZHANG ; Xuefen HE ; Jinlan XIE ; Tieying HOU
Chinese Journal of Infection Control 2015;(11):757-760,765
Objective To explore the incidence of surgical site infection (SSI)and compliance to bundled interven-tion measures,and evaluate the effect of bundled interventions on controlling SSI.Methods From October 2013 to September 2014,three types of surgeries (colorectal surgery,abdominal hysterectomy,and femoral neck repair sur-gery)in 29 hospitals in China were monitored,October 2013 to March 2014 was baseline investigated stage,April 2014 to September 2014 was intervention stage.Results A total of 6 166 episodes of surgeries were monitored,the incidence of SSI was 1 .64%,incidence of SSI following colorectal surgery,abdominal hysterectomy,and femoral neck repair surgery were 4.47%,1 .03%,and 0.21 % respectively.The P 75 time of three types of surgeries were 3,2,and 2 hours respectively.Compared with the baseline stage,the compliance to most intervention measures im-proved after intervention,the largest increase in the compliance to interventions was disinfection with chlorhexidine-containing disinfectant at surgical sites of colorectal surgery (increased by 29.09%),followed by preoperative shower of femoral neck repair surgery (increased by 26.24%),preoperative shower of colorectal surgery(increased by 22.95%),and skin preparation on the day of operation (increased by 20.75%).Incidences of SSI in three types of surgeries were not significantly different before and after intervention(all P >0.05).Conclusion The incidences of SSI are different among different types of surgeries,the compliance to most bundled intervention measures has im-proved to some extent after intervention,but effectiveness of intervention measures needs to be further observed.

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