1.Comparative analysis of intervention in patients with chronic kidney disease at home and abroad
Yunxia NI ; Yongshu DIAO ; Zhiwen CHEN ; Dengyan MA
Chinese Journal of Practical Nursing 2017;33(31):2473-2476
This paper summarizes the intervention of chronic kidney disease at home and abroad from the intervention places, objects, contents, methods, executants and evaluation. Some intervention problems have been found in this paper: intervention places do not extend to the basic medical institutions; we draw less attention to those patients with special health needs; the theoretical basis of intervention strategies is inadequate; the content and evaluation of intervention are not comprehensive. The intervention research of chronic kidney disease in China is still a long way to go.
2. Meta analysis of clinical characteristics of urinary calculi in children
Kaihui SHEN ; Lina MA ; Dengyan WU ; Rui MA ; Qian CHANG ; Yonghong YANG
Journal of Chinese Physician 2019;21(9):1339-1344,1348
Objective:
We investigated the clinical characteristics and the most important risk factors of urinary calculi in children.
Methods:
Using Cochrane Library, PubMed, ProQuest, ELEVIER Science Direct, Embase, Springerlink, China National Knowledge Infrastructure (CNKI), and Wanfang database, we reviewed literature on clinical characteristics of urinary calculi in children from January 2003 to September 2018, and data was analyzed using STATA 14.0.
Results:
Incidence of calculi in male children was 62.1% [95%
3.Effects of follow-up management on blood pressure and glomerular filtration rate in patients with chronic kidney disease
Chongcheng CHEN ; Yue WEN ; Yi CHEN ; Dengyan MA ; Xiaoyi CAO ; Yongshu DIAO
Chinese Journal of Modern Nursing 2019;25(6):682-685
Objective? To explore the effects of follow-up management on blood pressure and glomerular filtration rate (GFR) in patients with chronic kidney disease (CKD). Methods? Totally 660 CKD patients who established health records from June 2016 to June 2017 and received regular follow-up management in the Follow-up Management Center for CKD, West China Hospital, Sichuan University were selected by convenient sampling in this self-control study. The patients received follow-up management for CKD for 12 months and their blood pressure and GFR were measured before and after the follow-up. Results? After the 12-month follow-up, the patients' systolic pressure and diastolic pressure were (126.76±16.35) mmHg and (77.85±10.84) mmHg respectively, both lower than those before the follow-up (t=42.7, 56.2; P<0.05). The patients' GFR decreased 2.86 ml/min·1.73m2, whose falling range was better than the average level in China. Conclusion? Follow-up management for CKD can effectively reduce the patients' blood pressure and delay the progress of their renal function, which is worth promoting in clinical practice.
4.Depressive emotions investigation and analysis for stage 1-4 chronic kidney disease
Dengyan MA ; Yingjun ZHANG ; Yu WANG ; Yongshu DIAO
Chinese Journal of Modern Nursing 2016;22(4):458-462
Objective To explore current situation of depressive symptoms and analyze its influencing factors in stage 1-4 chronic kidney disease (CKD) patients. Methods From August 2014 to September 2014, a cross-sectional study was performed, and 214 outpatients chronic kidney disease ( CKD ) were recruited by convenience sampling method to evaluate depressive scores using the Zung self-rating depression scale in a grade A class three hospital of Sichuan province. Using single factor analysis method, a preliminary study was performed to explore the influencing factors of depression symptoms including gender, residence, education and the family income per capita. Results A total of 214 CKD depression scores was (47. 98 ± 10. 38), which was significantly more than that of norm (t=20. 472, P<0. 01). Single factor analysis showed gender, residence, education and the family income per capita all influenced the depressive incidences (χ2 =14. 929, 5. 413, 7. 290, 9. 917;P<0. 05). Multiple stepwise regression analysis showed gender, residence, education and the family income per capita all were depression influencing factors (P<0. 05). Conclusions Medical and health institutions should give great importance to depressive symptoms in CKD patients, especially for stage 1-4 CKD patients. Focus on assessment and early intervention can reduce the incidences of the depression and improve the prognosis.
5.Application effect of quality control circle combined with multidisciplinary cooperation in inpatients with chronic kidney diseases
Dengyan MA ; Yan LUO ; Xiaolu GUO ; Yongshu DIAO
Chinese Journal of Modern Nursing 2017;23(3):355-357
Objective To explore the application effect of quality control circle combined with multidisciplinary cooperation in inpatients with chronic kidney diseases.Methods A total of 1000 patients who met the inclusion criteria and were hospitalized after activity from January 2014 to October 2014 were recruited as the observation group. A total of 900 patients hospitalized before activity were selected as the control group. Management was carried out especially in two links including admission and discharge. The activity included establishing quality control circle,enhancing the management of admission education,launching the model of multidisciplinary cooperation,optimizing discharge process of "patient-centered",improving the planned hospital discharge rate. The satisfaction of patients to admission education,awareness rate of admission education and planned hospital discharge rate before and after management were compared between two groups. Results After the implementation of link management,the satisfaction of patients to admission education increased from 77.9% to 95.9%;the awareness rate of admission education increased from 85.4% to 95.8%;the planned hospital discharge rate increased from 53.0% to 83.2% with significant differences (χ2=139.238, 61.377,201.596;P<0.001). The satisfaction of discharged patients rose from 77.40% to 98.82% along with ranking from 31th to 3rd around the hospital.Conclusions The application of quality control circle and multidisciplinary cooperation in strengthening the link management at admission and discharge in inpatients with chronic disease,can increase the patient′s satisfaction and improve the service quality of the department.
6.Status and its influencing factors analysis of ehealth literacy in inpatients with chronic kidney disease
Yuxin LIU ; Xin ZHAO ; Difei DUAN ; Dengyan MA ; Yi WEN
Chinese Journal of Modern Nursing 2022;28(32):4484-4489
Objective:To explore the status and influencing factors of electronic health literacy of inpatients with chronic kidney disease (CKD) .Methods:From January to March 2021, a total of 200 inpatients in Nephrology Department of West China Hospital of Sichuan University were selected as the research objects by convenience sampling method. The Chinese version of the Electronic Health Literacy Scale (eHEALS) and self-designed general information questionnaire were collected. Single factor analysis and multiple linear stepwise regression analysis were used to explore the influencing factors of electronic health literacy.Results:The electronic health literacy score of 200 inpatients with CKD was (26.46±5.58) . Multiple linear stepwise regression analysis showed that work status, residence, dialysis method, education level, marriage situation, electronic tool use proficiency and the importance of internet were the influencing factors of electronic health literacy ( F=24.900, R2=0.510, P<0.01) . Conclusions:The electronic health literacy of inpatients with CKD is at a moderately low level. Medical and nursing staff should pay more attention to patients with low e-health literacy who are not working, in rural areas, and low-educated, and provide health education to help them improve electronic health literacy and correctly judge and use network information.
7.Distribution and antimicrobial resistance profile of clinical bacterial isolates from blood culture in China, 2014-2015
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Ying HUANG ; Jilu SHEN ; Hui DING ; Jinwei HUANG ; Yuanyuan DAI ; Yongyun LIU ; Liping ZHANG ; Liang GUO ; Baohua ZHANG ; Yanhong LI ; Haifeng MAO ; Li WANG ; Lin ZHENG ; Beiqing GU ; Haixin DONG ; Chuandan WAN ; Zhixiang LIAO ; Rong XU ; Shuyan HU ; Li SUN ; Shucun ZHANG ; Lan MA ; Bo QUAN ; Jianzhong WANG ; Zhenghai YANG ; Wencheng ZHU ; Fei DU ; Dengyan QIAO ; Xiusan XIA ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2019;12(1):24-37
Objective To analyze the distribution and antimicrobial resistance profile of clinical bacterial strains isolated from blood culture in China.Methods Clinical bacterial strains isolated from blood culture from participating hospitals of Blood Bacterial Resistance Investigation Collaborative System (BRICS) during January 2014 to December 2015 were collected.Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods as recommended by US Clinical and Laboratory Standards Institute(CLSI)2018.The data were analyzed with Whonet 5.6 software.Results During the study period,4 801 clinical bacterial isolates were collected from 26 hospitals,of which 1 798 (37.5%) were Gram-positive bacteria and 3 003 (62.5%) were gram-negative bacteria.The top 10 isolates were Escherichia coli (33.8%),coagulase-negative Staphylococcus (19.0%),Klebsiella pneumoniae (11.9%),Staphylococcus aureus (10.1%),Acinetobacter baumannii (4.0%),Pseudomonas aeruginosa (3.8%),Streptococcus (3.0%),Enterobacter sulcus (2.9%),Enterococcus faecium (2.8%) and Enterococcus faecalis (1.8%).Methicillin-resistant Staphylococcus aureus (MRSA) and methicillinresistant coagulase-negative Staphylococcus (MRCNS) accounted for 33.9% (165/487) and 56.9% (520/913) of Staphylococcus aureus and coagulase-negative Staphylococcus respectively.No vancomycinresistant Staphylococcus was detected.The resistance rate of Enterococcus faecium to vancomycin was 0.7% (1/135),and no vancomycin-resistant Enterococcus faecaliss was detected.The positive rates of extendedspectrum β-1actamases(ESBLs)-producing Escherichia coli,Klebsiella pneumoniae and Proteus were 56.9% (923/1 621),30.1% (172/572) and 29.2% (7/24),respectively.The positive rates of carbapenemresistant Escherichia coli,Klebsiella pneumoniae,Enterobacter,Salmonella and Citrobacter were 1.2% (20/1 621),7.2% (41/572),4.3% (6/141),1.5% (1/67) and 2.9% (1/34),respectively.The resistance rates of Acinetobacter baumannii to polymyxin and tegacycline were 2.6% (5/190) and 8.9% (17/190)respectively,and that of Pseudomonas aeruginosa to polymyxin and fosfomycin were 1.1% (2/183)and 0.6% (1/183),respectively.Conclusions The surveillance results from 2014 to 2015 show that the main pathogens of blood stream infection in China are Gram-negative bacteria,while Escherichia coli is the most common pathogen,the detection rate of MRSA is lower than other surveillance data in the same period in China;carbapenem-resistant Klebsiella pneumoniae and Escherichia coli are at a low level as shown in this surveillance.
8.BRICS report of 2016-2017: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Qing YANG ; Haishen KONG ; Yongyun LIU ; Ying HUANG ; Yuanyuan DAI ; Liping ZHANG ; Hui DING ; Liang GUO ; Baohua ZHANG ; Lisha ZHU ; Haifeng MAO ; Zhixiang LIAO ; Yanhong LI ; Lu WANG ; Shuyan HU ; Zhenghai YANG ; Beiqing GU ; Haixin DONG ; Fei DU ; Lin ZHENG ; Bo QUAN ; Wencheng ZHU ; Jianzhong WANG ; Lan MA ; Rong XU ; Li SUN ; Aiyun LI ; Junmin CAO ; Jinhua LIANG ; Hongyun XU ; Kunpeng LIANG ; Dengyan QIAO ; Xiaoyan QI ; Xiusan XIA ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2020;13(1):42-54
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2016 to December 2017. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI) 2019. WHONET 5.6 was used to analyze data.Results:During the study period, 8 154 bacterial strains were collected from 33 hospitals, of which 2 325 (28.5%) were Gram-positive bacteria and 5 829 (71.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (34.7%), Klebsiella pneumoniae (15.8%), Staphylococcus aureus (11.3%), coagulase-negative Staphylococci (7.4%), Acinetobacter baumannii (4.6%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.8%), Streptococci (2.9%), Enterobacter cloacae (2.7%) and Enterococcus faecalis (2.5%). Methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus (MRCNS) accounted for 34.2%(315/922) and 77.7%(470/605), respectively. No vancomycin-resistant Staphylococcus was detected. The resistance rate of Enterococcus faecium to vancomycin was 0.6%(2/312), and no vancomycin-resistant Enterococcus faecium was detected. The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus were 55.7%(1 576/2 831), 29.9%(386/1 289) and 38.5%(15/39), respectively. The incidences of carbapenem-resistance in Escherichia coli, Klebsiella pneumoniae were 1.2%(33/2 831), 17.5%(226/1 289), respectively. The resistance rates of Acinetobacter baumannii to polymyxin and tigecycline were 14.8%(55/372) and 5.9%(22/372) respectively, and those of Pseudomonas aeruginosa to polymyxin and carbapenem were 1.3%(4/315) and 18.7%(59/315), respectively. Conclusion:The surveillance results from 2016 to 2017 showed that the main pathogens of blood stream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen; the MRSA incidence was lower than other surveillance data in the same period in China; carbapenem-resistant Escherichia coli was at a low level during this surveillance, while carbapenem-resistant Klebsiella pneumoniae is on the rise.
9.BRICS report of 2018-2019: the distribution and antimicrobial resistance profile of clinical isolates from blood culture in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Peipei WANG ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Hui DING ; Yongyun LIU ; Haifeng MAO ; Ying HUANG ; Zhenghai YANG ; Yuanyuan DAI ; Guolin LIAO ; Lisha ZHU ; Liping ZHANG ; Yanhong LI ; Hongyun XU ; Junmin CAO ; Baohua ZHANG ; Liang GUO ; Haixin DONG ; Shuyan HU ; Sijin MAN ; Lu WANG ; Zhixiang LIAO ; Rong XU ; Dan LIU ; Yan JIN ; Yizheng ZHOU ; Yiqun LIAO ; Fenghong CHEN ; Beiqing GU ; Jiliang WANG ; Jinhua LIANG ; Lin ZHENG ; Aiyun LI ; Jilu SHEN ; Yinqiao DONG ; Lixia ZHANG ; Hongxia HU ; Bo QUAN ; Wencheng ZHU ; Kunpeng LIANG ; Qiang LIU ; Shifu WANG ; Xiaoping YAN ; Jiangbang KANG ; Xiusan XIA ; Lan MA ; Li SUN ; Liang LUAN ; Jianzhong WANG ; Zhuo LI ; Dengyan QIAO ; Lin ZHANG ; Lanjuan LI ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(1):32-45
Objective:To investigate the distribution and antimicrobial resistance profile of clinical bacteria isolated from blood culture in China.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2018 to December 2019. Antibiotic susceptibility tests were conducted with agar dilution or broth dilution methods recommended by US Clinical and Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 14 778 bacterial strains were collected from 50 hospitals, of which 4 117 (27.9%) were Gram-positive bacteria and 10 661(72.1%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.2%), Klebsiella pneumoniae (17.0%), Staphylococcus aureus (9.7%), coagulase-negative Staphylococci (8.7%), Pseudomonas aeruginosa (3.7%), Enterococcus faecium (3.4%), Acinetobacter baumannii(3.4%), Enterobacter cloacae (2.9%), Streptococci(2.8%) and Enterococcus faecalis (2.3%). The the prevalence of methicillin-resistant S. aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus were 27.4% (394/1 438) and 70.4% (905/1 285), respectively. No glycopeptide-resistant Staphylococcus was detected. More than 95% of S. aureus were sensitive to amikacin, rifampicin and SMZco. The resistance rate of E. faecium to vancomycin was 0.4% (2/504), and no vancomycin-resistant E. faecalis was detected. The ESBLs-producing rates in no carbapenem-resistance E. coli, carbapenem sensitive K. pneumoniae and Proteus were 50.4% (2 731/5 415), 24.6% (493/2001) and 35.2% (31/88), respectively. The prevalence of carbapenem-resistance in E. coli and K. pneumoniae were 1.5% (85/5 500), 20.6% (518/2 519), respectively. 8.3% (27/325) of carbapenem-resistance K. pneumoniae was resistant to ceftazidime/avibactam combination. The resistance rates of A. baumannii to polymyxin and tigecycline were 2.8% (14/501) and 3.4% (17/501) respectively, and that of P. aeruginosa to carbapenem were 18.9% (103/546). Conclusions:The surveillance results from 2018 to 2019 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while E. coli was the most common pathogen, and ESBLs-producing strains were in majority; the MRSA incidence is getting lower in China; carbapenem-resistant E. coli keeps at a low level, while carbapenem-resistant K. pneumoniae is on the rise obviously.