1.Factors affecting blood lipid control among residents at a high risk of atherosclerotic cardiovascular disease
HUANG Wen ; HE Liang ; FU Lingjuan ; WENG Lixia ; ZHANG Xinxi ; ZHU Shuxia ; ZHANG Yanghui ; CHEN Qifeng
Journal of Preventive Medicine 2023;35(10):834-839
Objective:
To investigate the proportion of achieving the blood lipid control target and its influencing factors among residents at a high risk of atherosclerotic cardiovascular disease (ASCVD), so as to provide insights into management of blood lipid among residents at a high risk of ASCVD.
Methods:
Residents at a high risk of ASCVD and at ages of 35 to 70 years were sampled using a multi-stage cluster sampling method from 6 counties (districts) in Shaoxing City from May to July 2021. The residents' demographics, smoking, alcohol consumption and medical history of chronic diseases were collected using questionnaires, the height, weight, waist circumference (WC) and blood pressure were measured, and the total cholesterol (TC), triacylglycerol (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and fasting blood glucose were detected. The proportion of blood lipids achieving the control target was analyzed, and factors affecting the proportion of blood lipids achieving the control target were identified using a multivariable logistic regression model.
Results:
A total of 1 695 individuals at a high risk of ASCVD were enrolled, including 940 men (55.46%) and 755 women (44.54%), with a mean age of (62.56±6.08) years. There were 285 participants that achieved the target of blood lipid control (16.81%). Multivariable logistic regression analysis identified gender (male, OR=1.962, 95%CI: 1.396-2.758), age (OR=1.037, 95%CI: 1.013-1.061), WC (OR=0.979, 95%CI: 0.964-0.995), diastolic blood pressure (OR=0.981, 95%CI: 0.967-0.994), smoking (OR=1.485, 95%CI: 1.034-2.133), alcohol consumption (OR=0.684, 95%CI: 0.498-0.941), hypertension (OR=1.428, 95%CI: 1.006-2.207), administration of hypoglycemic drugs (OR=2.326, 95%CI: 1.720-3.144) as factors affecting the achievement of the target for blood lipid control among residents at a high risk of ASCVD.
Conclusions
Individuals at a high risk of ASCVD with higher WC, higher diastolic blood pressure and alcohol consumption are less likely to achieve the target for blood lipid control, while male individuals with older age, hypertension and administration of hypogcemic drugs are more likely to achieve the target for blood lipid control.
2.Implementation Strategy Analysis of Clinical Pathway in Large Public Hospitals under DRG Payment Reform
Zhe HE ; Jie ZHANG ; Yuxiong WENG ; Jiahong XIA ; Chao YANG ; Lixia WANG ; Xueli WEI ; Shaowei WU
Chinese Hospital Management 2024;44(4):70-73
Clinical pathway has great similarity with DRG,and plays an important role in standardizing diagnosis and treatment behavior and controlling medical expenses.Based on the analysis of the relationship between DRG payment method reform and clinical pathway,taking a public hospital in Wuhan City,Hubei Province as an example,the clinical pathway implementation strategy of large public hospitals under the DRG payment method reform was explored from five aspects:management system,suitable disease types,doctor's order setting,information system,training and assessment.
3.Characteristics and management approaches of patients admitted to isolation ward in public general hospitals under regular epidemic prevention and control of coronavirus disease 2019
Chunxia GUO ; Fenglin WANG ; Yuxiong WENG ; Lixia WANG ; Hua WANG ; Wei LI ; Xin ZHENG ; Jiahong XIA
Chinese Journal of Infectious Diseases 2023;41(9):588-592
Objective:To investigate the characteristics and management approaches of patients admitted to the isolation wards in public general hospitals under regular epidemic prevention and control measures of coronavirus disease 2019 (COVID-19).Methods:All patients admitted to the isolation ward in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, from May 14, 2020 to April 15, 2021 were enrolled, and the general information, illness severity, preliminary diagnosis and transfer department of the patients were analyzed.Results:Out of the 2 292 patients admitted to the isolation ward, critical patients accounted for 34.34% (787 cases), surgical system patients accounted for 80.06% (1 835 cases) and internal medicine system patients accounted for 19.94% (457 cases), fever patients accounted for 11.30% (259 cases). All patients successfully completed COVID-19 screening, and no COVID-19 patients were detected. Among the total enrolled patients, 2 201 patients were promptly transferred to the corresponding departments for further treatment, with an average transfer time of 0.55 day. The remaining 91 patients were discharged from the isolation ward with an average hospitalization stay of 1.27 days.Notably, there were no COVID-19 cross-infection occurred between patients and medical staff in the isolation ward.Conclusions:Scientific and efficient management of isolation wards ensure timely screening and effective treatment for patients, and simultaneously achieving "zero" infection for both medical staff and patients.
4.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.