OBJECTIVE To establish the precise management model for the centralized preparation of cytotoxic drugs in pharmacy intravenous admixture services （PIVAS）， and evaluate the effects of its application. METHODS Pharmacists in PIVAS established the precise management model by soliciting clinical opinions and consulting literature on the centralized preparation of cytotoxic drugs and continuously refining every step of the preparation of cytotoxic drugs， based on data feedback from the information closed-loop management system and the limit of stability time of finished solutions. The indicators such as the preparation time， delivery time， the storage time of finished infusion solutions after preparation， and the completion rate of infusion within the stability time limit were analyzed before the implementation （January to December 2023） and after the implementation （January to December 2024） of this model， to evaluate its application effectiveness. RESULTS The overall framework for the precise management model included upgrading the functions of the prescription review system， improving the prescription review database， providing specialized training for PIVAS pharmacists， managing dynamic batch decision for drug preparation， managing special drugs， managing finished infusion distribution， and establishing a continuous improvement mechanism. Compared with before implementation， the average preparation time of the second and third batches of cytotoxic drugs with more concentrated morning preparation tasks in this model was significantly shorter than before implementation （P＜0.05）； the delivery time of finished infusion after implementation （[ 11.49±2.92） min] was significantly shorter than the delivery time before implementation （[ 22.11±5.03） min] （P＜0.001）； the storage time of some drugs with shorter stable time limit and carboplatin in combination regimens （paclitaxel or docetaxel+carboplatin） was significantly shortened compared to before implementation （P＜0.05）， and the completion rate of infusion within the stability time limit was significantly improved compared to before implementation （P＜0.05）. CONCLUSIONS Our hospital has successfully established a precise management model for the centralized preparation of cytotoxic drugs in PIVAS. This mode can significantly shorten the preparation time of each batch of PIVAS in the morning， make batch decisions more reasonable and improve the infusion completion rate within the stable time limit of the finished product.

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.

Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7％)and Enterococcus faecalis(41.5％).The strains were mainly isolated from urinary tract specimens(46.9％±2.6％),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6％).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1％and 1.3％,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7％in 2015 to 3.4％in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3％.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.

Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5％in all clinical isolates amd 5.7％in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7％(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)％,followed by secretions/pus(16.4±2.3)％and urine(16.0±0.9)％.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9％),and only(7.1±0.8)％of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)％compared to the inpatients in any other departement.Overall,≤ 7.9％of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6％of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7％vs 3.9％).Overall,≤8.1％of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5％of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0％over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10％of the Proteus and Morganella strains were resistant,while less than 20％of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4％in Proteus isolates,1.9％in Morganella isolates,and 15.6％in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.

Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8％)strains of Staphylococcus aureus and 68,040(33.2％)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)％,wound,pus and secretions(33.6±4.2)％,and blood(11.9±1.5)％.The CNS strains were predominantly isolated from blood(73.6±4.2)％,cerebrospinal fluid(12.1±2.5)％,and pleural effusion and ascites(8.4±2.1)％.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)％,outpatient and emergency(11.6±1.7)％,and department of surgery(11.2±0.9)％,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)％,outpatient and emergency(12.8±4.7)％,and department of internal medicine(11.2±1.9)％.The prevalence of methicillin-resistant strains was 32.9％in S.aureus(MRSA)and 74.1％in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1％to 29.2％,and the prevalence of MRCNS decreased from 82.1％to 68.2％.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2％to 2.3％over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.

Objective To analyze the correlation between cumulative fluid balance volume and increasing plasma volume and aggravated clinical congestion symptoms in patients with heart failure on admission for 1～7 d,and to explore the application value of cumulative fluid balance volume in predicting volume overload.Methods Using the convenience sampling method,235 heart failure patients hospitalized from October 2022 to February 2023 in a total of 3 tertiary hospitals in Nanjing,Lianyungang,Jiangsu Province,and Zhumadian,Henan Province,were selected and classified into an increasing/decreasing plasma volume group and an aggravated/alleviated clinical congestion symptoms group.General information,clinical characteristics,and 1～7 d cumulative fluid balance volume of the study subjects were collected to compare the differences in cumulative fluid balance volume between the 2 groups.Logistic regression was used to analyze the effect of cumulative fluid balance volume on plasma volume and clinical congestion symptoms.Receiver operating characteristic curves were used to analyze the optimal cutoff value of cumulative fluid balance volume for predicting increasing plasma volume and aggravated clinical congestion symptoms.Results Excluding 15 pat ients who were discharged early and 3 patients with inaccurate records of fluid intake and excretion,a total of 217 patients were included.The incidence of positive fluid balance was lowest on day 1,at 65.90%,with the smallest cumulative volume of(0.235±0.983)L;the highest incidence of positive balance occurred on day 6,at 75.58%,with the largest cumulative volume of(2.444±5.445)L.The cumulative fluid balance at 4～7 d in the increasing plasma volume group was higher than that in the decreasing plasma volume group,and the difference was statistically significant(P<0.05);the cumulative fluid balance at 4～7 d was an independent risk factor for plasma volume elevation,and a cumulative fluid balance of 2.308,3.361,3.518,and 3.702 L at 4～7 d was predictive of a plasma volume elevation,and areas under receiver operating characteristic curve were 0.686,0.721,0.647,and 0.766,respectively.The cumulative fluid balance for 4～7 d in the aggravated clinical congestion symptoms group was higher than that in the alleviated clinical congestion symptoms group,and the difference was statistically significant(P<0.05);the cumulative fluid balance for 4～7 d was an independent risk factor for the aggravated clinical congestion symptoms,and a cumulative fluid balance for 4～7 d of 2.574,3.383,4.995,and 4.235 L predicted aggravated clinical congestion symptoms,and area under receiver operating characteristic curve was 0.640,0.693,0.654,and 0.720,respectively.Conclusion The incidence of cumulative positive fluid balance in heart failure patients is high,and the amount of cumulative fluid balance can better predict the occurrence of volume overload,and the increase of plasma volume precedes the appearance of clinical congestion symptoms.It is suggested that heart failure patients with more than 3 d of cumulative positive balance should be closely monitored,and when the cumulative positive balance exceeds 2.308 L,measures should be taken in time to drain excessive fluid,so as to avoid the incidence of volume overload.

Objective To explore the correlation between the variability of blood potassium level and risk of renal insufficiency(RI)in elderly heart failure(HF)patients with chronic systolic dys-function.Methods A total of 157 consecutive elderly patients with chronic HF admitted in De-partment of Cardiovascular Medicine of Wuhu First People's Hospital from January 2020 to No-vember 2022 were included,and according to whether RI occurred or not,they were divided into the RI group(36 cases)and the non-RI group(121 cases).Their general data and blood potassium variability was collected and recorded,and all of them were followed up for 6 months.Multivariate logistic regression analysis was applied for the correlation between blood potassium variability and RI in the elderly patients with chronic HF.Results The range of change,maximum fluctuation rate and coefficient of variation for blood potassium were significantly higher in the RI group than the non-RI group(P＜0.01).Multivariate logistic regression analysis showed that length of hospi-tal stay(OR=1.174,95％CI:1.067-1.292,P=0.001),age(OR=1.939,95％CI:1.309-2.872,P=0.001),albumin level(OR=0.866,95％CI:0.751-0.997,P=0.046),and range of change(OR=1.774,95％CI:1.519-2.071,P=0.016),maximum fluctuation rate(OR=1.631,95％CI:1.265-2.167,P=0.001)and coefficient of variation of blood potassium(OR=1.670,95％CI:1.212-2.230,P=0.002)were independent influencing factor for RI in the patients.Logistic re-gression analysis indicated that the range of serum potassium change≥0.80,the maximum fluctu-ation rate ≥0.40,and the coefficient of variation of serum potassium ≥8.20 were closely correla-ted with RI in elderly patients with chronic HF(P＜0.01).Conclusion High variability of blood potassium level is a risk factor for RI in elderly patients with chronic HF.

Objective:To investigate the value of soluble interleukin-6 (IL-6) receptor (sIL-6R) level in predicting ultrafiltration insufficiency in peritoneal dialysis (PD) patients.Methods:It was a prospective cohort study. The patients who received continuous ambulatory PD and regular follow-up between November 2016 and July 2018 in the PD Center of Renji Hospital, School of Medicine, Shanghai Jiao Tong University were enrolled. Enzyme-linked immunosorbent assay was used to determine dialysate sIL-6R and its appearance rate (AR) was calculated. Patients were divided into high sIL-6R AR group and low sIL-6R AR group according to median value of sIL-6R AR and prospectively followed up until death, PD cessation, or the end of the study (December 31, 2022). Multiple linear regression was used to analyze the related factors of sIL-6R AR. Kaplan-Meier method and log-rank test were used to compare the survival rate difference of ultrafiltration insufficiency between high sIL-6R AR group and low sIL-6R AR group. Multivariate Cox regression and multivariate competing risk models were used to assess the risk factors associated with occurrence of ultrafiltration insufficiency.Results:A total of 198 PD patients were enrolled, including 115 (58.1%) males, with age of (54.9±13.7) years old and PD duration of 22.5 (6.6, 65.0) months. The sIL-6R AR of the cohort was 2 094.7 (1 672.4, 2 920.9) pg/min. Compared with low sIL-6R AR（<2 094.7 pg/min）group, high sIL-6R AR（>2 094.7 pg/min）group had older age ( t=-3.269, P=0.001), higher body mass index ( t=-3.248, P=0.001), proportion of combined diabetes mellitus ( χ2=8.890, P=0.003), 24 h glucose exposure ( Z=-2.257, P=0.024), 24 h ultrafiltration capacity ( Z=-2.515, P=0.012), 4 h dialysate creatinine to serum creatinine ratio ( t=-2.609, P=0.010), mass transfer area coefficient of creatinine ( Z=-2.308, P=0.021), IL-6 AR ( Z=-3.533, P<0.001) and solute glycoprotein 130 AR ( Z=-8.670, P<0.001), and lower serum albumin ( t=2.595, P=0.010) and residual renal function ( t=2.133, P=0.033). Multiple linear regression analysis showed that body mass index ( β=0.194, P=0.005), serum albumin ( β=-0.215, P=0.002) and dialysate lg[IL-6 AR] ( β=0.197, P=0.011) were independently correlated with sIL-6R AR. By the end of the study, 57 (28.8%) patients developed ultrafiltration insufficiency. Kaplan-Meier analysis showed that high sIL-6R AR group had a significantly inferior ultrafiltration insufficiency-free survival rate than that in low sIL-6R AR group (log-rank χ 2=5.375, P=0.020). Multivariate Cox regression analysis and multivariate competing risk models showed that high dialysate sIL-6R AR (>2 094.7 pg/min) was an independent influencing factor of ultrafiltration insufficiency ( HR=2.286 , 95% CI 1.254-4.165 , P=0.007 ; SHR=2.074, 95% CI 1.124-3.828, P=0.020) in PD patients. Conclusions:Dialysate sIL-6R level was associated with body mass index, serum albumin and dialysate IL-6 level. Dialysate sIL-6R may be a predictive factor of ultrafiltration insufficiency in PD patients.

The rational use of medical consumables in clinical practice is of great significance for improving medical quality and controlling medical costs. In June 2023, a tertiary hospital established a management organization system, formulated a list of key monitored medical consumables, built supporting information system and database, and established a warning mechanism, to explore the rationality evaluation path for clinical use of medical consumables through in-depth analysis of the entire hospital-department-disease-surgical procedure. This evaluation path achieved good results. Taking absorbable hemostatic gauze as an example, through implementing this evaluation path, problems with the clinical use of this consumable were promptly identified, and targeted improvements were made. After rectification, the number of absorbable hemostatic gauze used in the third quarter of 2023 (209.0 pieces) had decreased compared to the second quarter of the same year (254.0 pieces), and clinical use was more reasonable and standardized. This evaluation path achieved refined control over key monitored medical consumables, which could provide references for other hospitals to carry out the management of clinical rational use of medical consumables.