Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To compare the differences in specimen results between the intelligent robotic phlebotomy group and the manual venipuncture group, and to evaluate the clinical applicability of the autonomous blood collection system.Methods:From January 20 to October 28, 2022, 154 volunteers at Zhongshan Hospital, Fudan University underwent paired blood collections (robotic and manual) within 5 minutes. The collected samples were analyzed for: hemolysis index (HI), alanine transaminase (ALT), aspartate transaminase (AST), L-γ-glutamyltransferase (γ-GT), lactate dehydrogenase (LDH), urea nitrogen (UREA), creatinine (CRE), uric acid (UA), glucose (GLU), total cholesterol (TC), triglyceride (TG), natrium (Na), kalium (K), chlorine (Cl), creatine kinase (CK), CK-MB, CK-MM, and neuron-specific enolase (NSE). Statistical analyses used t-tests and Wilcoxon signed-rank tests.Results:The results of two different blood collection methods revealed that the HI values of 154 specimens in the intelligent robot blood collection group were all less than 20SI, while 7 specimens (4.54%) in the manual blood collection group had HI values exceeding 20SI; In the comparison of 17 biochemical and immunological markers, there were statistically significant differences between groups in 8 items including γ-GT[20.00(15.00, 37.75)U/L vs. 19.00 (14.00, 36.25)U/L, Z=2.497, P<0.05], LDH[165.5 (147.0, 183.0)U/L vs. 173.0 (155.0, 193.0)U/L, Z=8.629, P<0.05], TC[(5.002±0.856)mmol/L vs.(5.031±0.870) mmol/L, t=-3.006, P<0.05], K[4.1 (4.0, 4.3)mmol/L vs. 4.3 (4.1, 4.4)mmol/L, Z=5.592, P<0.05], CK[97.00 (73.00, 133.00)U/L vs. 99.00 (74.75, 136.25)U/L, Z=3.490, P<0.05], CK-MB[13 (11, 15)U/L vs. 14 (12, 16)U/L, Z=6.581, P<0.05], CK-MM[84.00 (60.00, 119.00)U/L vs. 83.50 (58.75, 118.00)U/L, Z=3.790, P<0.05], and NSE[10.600 (9.500, 11.700)ng/ml vs. 11.950 (10.475, 13.725)ng/ml, Z=8.151, P<0.05]. Conclusions:In the collection of serum samples, intelligent blood collection robots can achieve standardization and normalization of specimen collection volume and mixing in the pre-analysis stage. The hemolysis related indicators of the collected specimens are lower than those of the manual collection group, and can be used for the collection of clinical serological specimens.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To compare the differences in specimen results between the intelligent robotic phlebotomy group and the manual venipuncture group, and to evaluate the clinical applicability of the autonomous blood collection system.Methods:From January 20 to October 28, 2022, 154 volunteers at Zhongshan Hospital, Fudan University underwent paired blood collections (robotic and manual) within 5 minutes. The collected samples were analyzed for: hemolysis index (HI), alanine transaminase (ALT), aspartate transaminase (AST), L-γ-glutamyltransferase (γ-GT), lactate dehydrogenase (LDH), urea nitrogen (UREA), creatinine (CRE), uric acid (UA), glucose (GLU), total cholesterol (TC), triglyceride (TG), natrium (Na), kalium (K), chlorine (Cl), creatine kinase (CK), CK-MB, CK-MM, and neuron-specific enolase (NSE). Statistical analyses used t-tests and Wilcoxon signed-rank tests.Results:The results of two different blood collection methods revealed that the HI values of 154 specimens in the intelligent robot blood collection group were all less than 20SI, while 7 specimens (4.54%) in the manual blood collection group had HI values exceeding 20SI; In the comparison of 17 biochemical and immunological markers, there were statistically significant differences between groups in 8 items including γ-GT[20.00(15.00, 37.75)U/L vs. 19.00 (14.00, 36.25)U/L, Z=2.497, P<0.05], LDH[165.5 (147.0, 183.0)U/L vs. 173.0 (155.0, 193.0)U/L, Z=8.629, P<0.05], TC[(5.002±0.856)mmol/L vs.(5.031±0.870) mmol/L, t=-3.006, P<0.05], K[4.1 (4.0, 4.3)mmol/L vs. 4.3 (4.1, 4.4)mmol/L, Z=5.592, P<0.05], CK[97.00 (73.00, 133.00)U/L vs. 99.00 (74.75, 136.25)U/L, Z=3.490, P<0.05], CK-MB[13 (11, 15)U/L vs. 14 (12, 16)U/L, Z=6.581, P<0.05], CK-MM[84.00 (60.00, 119.00)U/L vs. 83.50 (58.75, 118.00)U/L, Z=3.790, P<0.05], and NSE[10.600 (9.500, 11.700)ng/ml vs. 11.950 (10.475, 13.725)ng/ml, Z=8.151, P<0.05]. Conclusions:In the collection of serum samples, intelligent blood collection robots can achieve standardization and normalization of specimen collection volume and mixing in the pre-analysis stage. The hemolysis related indicators of the collected specimens are lower than those of the manual collection group, and can be used for the collection of clinical serological specimens.

ObjectiveTo investigate the changes in the pathogen spectrum of viral diarrhea in local pediatric inpatients as well as any variations in genotypes of major pathogens during the COVID-19 control period. MethodsFecal samples were collected from the children <5 years who were hospitalized due to acute gastroenteritis in a pediatric hospital in Shanghai. PCR test was carried out to detect rotavirus， norovirus， sapovirus， astrovirus and enteric adenovirus， and then genotyping was performed for major pathogens. ResultsOut of 546 samples， 37.55% tested positive for virus with the following positive rate ranking： norovirus GⅡ （22.16%）， group A rotavirus （16.12%）， astrovirus （2.93%）， enteric adenovirus （2.38%）， sapovirus （0.92%） and norovirus GⅠ （0.18%）. The predominant genotype within norovirus GⅡ were GⅡ.4［P31］ and GⅡ.4［P16］ with a proportion of 24.79% and 14.05% respectively. The detection rate of GⅡ.4［P31］ dropped significantly over the 2-year period （χ²＝16.140，P<0.001）. In addition， an emerging rotavirus genotype G8P ［8］， which was rarely found nationally， was discovered for the first time locally with an increasing proportion， accounting for 7.95% of all rotavirus positive cases. Phylogenic analysis demonstrated that the representative strains of this genotype were genetically closer to the DS-1-like G8P ［8］ strain found in Southeast Asia. ConclusionThe changes in the prevalence of various norovirus genotypes together with the emergence of rare rotavirus genotype in the local area illustrate the importance of continuous monitoring of viral diarrhea and genotyping of key pathogens. Increased local activity of the rare genotype also adds new parameters in the efficacy evaluation of marketed vaccines and development of potential new vaccines in near future.

Objective:To understand the epidemiological characteristics of diarrheagenic Escherichia ( E. ) coli infection in infectious diarrhea outpatients aged 15 years and older in Shanghai and provide evidence for the development of disease control strategies .Methods:Based on multistage systematic sampling, diarrhea surveillance was conducted in 22 sentinel hospitals in Shanghai, the information about cases' demographic, clinical, and epidemiological characteristics were collected. Stool samples were collected for the detection and typing of diarrheagenic E. coli by local centers for disease control and prevention. The positive rate of diarrheagenic E. coli in different populations and seasons from 2014 to 2021 were analyzed. Statistical analysis was conducted by using χ2 test. Results:In 15 185 diarrhea cases, 8.05% (1 222/15 185) were positive for diarrheagenic E. coli. The positive rate was higher in men (8.74%, 684/7 824) than in women (7.31%, 538/7 361). The positive rate was highest in age group 15-29 years (9.14%, 335/3 665) and the annual positive rate was highest in 2021 (10.21%, 83/813), the differences were all significant ( P<0.05). In the 1 264 strains of diarrheagenic E. coli analyzed through PCR, enterotoxingenic E. coli was the most frequently identified pathogen (50.24%, 635/1 264), followed by enteroadhesive E. coli (27.93%, 353/1 264), and enteropathogenic E. coli (21.36%, 270/1 264). The positive rate of diarrheagenic E. coli showed obvious seasonality with peak in summer (13.92%, 774/5 562) ( χ2=495.73, P<0.001). Conclusions:Diarrheagenic E. coli has become a prominent pathogen in infectious diarrhea cases in Shanghai, the disease can occur all the year round with incidence peak during summer and autumn. Predominant subtypes included enterotoxingenic E. coli, enteroadhesive E. coli and enteropathogenic E. coli. Targeted prevention and control strategies are needed for diarrheagenic E. coli-induced infectious diarrhea in different age groups, seasons and for different types of infections.

Objective: To retrospectively analyze the epidemic characteristics and spatial distribution of vomiting and diarrhea outbreaks in schools and kindergartens in Shanghai from 2015 to 2019, so as to provide the scientific evidence for optimizing prevention and control of vomiting and diarrhea outbreaks in schools and kindergartens. Methods: Data collection and analysis were carried out on the vomiting and diarrhea outbreaks reported to Shanghai Municipal Center for Disease Control and Prevention from 2015 to 2019. Epidemiological characteristics were analyzed and compared. The proportion and incidence of outbreaks in schools and kindergartens were calculated, and the influencing factors of outbreaks were analyzed by multivariate Logistic regression. The index of Moran s I was used for the global and local spatial auto correlation analysis. Results: Among the 344 vomiting and diarrhea outbreaks, 98.26% occurred in kindergartens, primary schools, middle schools and other educational institutions. The median number of cases per outbreak was 15. The number of suspected outbreaks and the percentage of cases involved peaked in 2015 ( 60.00% , 84.35%) and then decreased year by year to 16.00% and 38.80% in 2019. About 86.98% of the outbreaks were transmitted by human to human contact. Among the 329 outbreaks with samples collected from cases and/or environments, the main pathogen detected was norovirus ( n =280), and sapovirus was detected in outbreak for the first time in 2016. The outbreaks showed obvious seasonality, with two peaks (November, March) and one trough (July), and the majority of outbreaks occurred in primary schools (44.38%) and kindergartens (32.84%). Compared with kindergartens, the probabilities of suspected epidemic outbreaks in primary schools, combined schools, middle schools and other educational institutions were higher (adjusted OR =6.40, 9.16, 12.64 , 5.58, P <0.01). The proportion and incidence of outbreaks in educational institutions in different districts showed no high-high aggregation areas. Conclusions Primary schools and kindergartens are key places for the prevention and control of vomiting and diarrhea outbreaks. Targeted prevention and control measures should be strengthened at the beginning of each semester and before the peak of the epidemic each year. Timely reporting of symptoms, suspension of school admissions after symptoms appear and standardized disposal of vomit are effective measures to reduce interpersonal transmission and control the scale of an outbreak.

We report a case of a 44-year-old female patient with acute liver failure and hepatic encephalopathy. The patient received artificial liver treatment and underwent allogeneic orthotopic liver transplantation at 14 days after admission. Laboratory examination reported a small number of green cytoplasmic inclusions in neutrophils on the peripheral blood smear at 68 days after admission. The patient eventually died of liver failure at 71 days after admission. Green inclusions are bright green or blue-green inclusions presented in the cytoplasm of neutrophils in Wright-Giemsa stained peripheral blood smears, and is associated with liver failure and high short-term mortality.

Objective:To assess the role of Delta-RBC parameters in the automated hematocrit analyzer RET channel for the recognition of cold agglutinins (CA) and to explore the value of RET channel optical method parameters in correcting interference with CA.Methods:This is a retrospective study. The Cas group included 68 samples with Cas interference and the control group included 45 samples without CA interference. All specimens were collected from Zhongshan Hospital Fudan University Outpatient Department from January 2022 to January 2023. Specimens in both the CA and Control group were examined using the CBC+RET channel at room temperature. Recorded and calculated the Impedance method test parameters RBC-I, HGB, HCT-I, MCH-I, MCV-I, MCHC-I and the Optical method test parameters RBC-O, HCT-O, MCH-O, R-MFV, MCHC-O, Delta-RBC. Examined the specimens in the CA group using the CBC channel after prewarmed at 37 ℃ for 2 h, and Impedance method parameters RBC-I 37 ℃ 2 h, HGB 37 ℃ 2 h, HCT-I 37 ℃ 2 h, MCH-I 37 ℃ 2 h, MCV-I 37 ℃ 2 h, MCHC-I 37 ℃ 2 h were recorded. The ROC curves were used to analyze the discrimination efficacy of Delta-RBC in identifying CA interference, and the Bland-Altman method was used to analyze the consistency between the results of the optical method RBC parameters at room temperature and the results of the impedance method after prewarming. The correlation analysis was performed using Pearson and Spearman correlation analysis to analyze the results of the RBC parameters before and after prewarming in the CA group. Result:If Delta-RBC was used as diagnostic indicators for the identification of CA interference, the best cut-off value was 1.065, with AUCs of 0.998. In the CA group, the correlation coefficients between RBC-O, HCT-O, R-MFV, MCH-O, MCHC-O, and RBC-I 37 ℃ 2 h, HCT-I 37 ℃ 2 h, MCV-I 37 ℃ 2 h, MCH-I 37 ℃ 2 h, MCHC-I 37 ℃ 2 h were 0.985, 0.981, 0.729, 0.870, and 0.649, respectively. The percentages within the limits of agreement of the percentage differences between the results of the two methods were 95.6%, 92.6%, 95.6%, 94.1%, and 95.6%, respectively. Conclusions:The RBC parameter Delta-RBC from RET channel optical method can be used as an indicator to effectively assist in the clinical determination of the presence of CA. Reporting results using the optical method RBC parameters of the RET channel can correct the interference of CA without specimen pre-treatment and obtain more correct results of complete blood counts.

Objective:To investigate the epidemiological and pathogenic characteristics of children's infectious diarrhea in Shanghai to provide evidence for developing strategies related to the control of the disease .Methods:Diarrhea outpatients were under surveillance at the pediatric intestinal clinic at five sentinel hospitals in Shanghai, with demographic, clinical, and epidemiological information collected. Fecal specimens were collected and detected for 12 bacteria and 5 viruses by district center for disease control and prevention. Characteristics of diarrhea patients were compared and analyzed from 2016 to 2021. Multi-stage systematic sampling method was adopted. The Chi-square test was used for statistical analysis.Results:Of 2 456 infectious diarrhea patients, the positive rate was 45.11% (1 108/2 456), 16.00% (393/2 456), 20.81% (511/2 456), 8.31% (204/2 456), for all pathogens, single bacteria, single virus, and diverse infections respectively. The prevalent detected pathogens were pathogenic Escherichia coli (12.95%, 318/2 456), norovirus (10.91%, 268/2 456), rotavirus (7.49%, 184/2 456), Salmonella (5.82%, 143/2 456) and Campylobacter jejuni (4.68%, 115/2 456). The pathogen spectrum of childhood infectious diarrhea patients showed noticeable seasonal changes, with a prevalent bacterial infection in summer [peaked in June, the positive rate was 34.50% (69/200)] and a prevalent viral infection in winter [peaked in January, the positive rate was 48.10% (101/210)]. The positive rates in different age groups, populations, and seasons were statistically different ( χ2=160.53, P<0.001; χ2=14.80, P=0.003; χ2=27.21, P<0.001). During 2020-2021, the number of cases of infectious diarrhea in children (284 cases/year) dropped significantly compared with the number in 2016-2019 (472 cases/year), the pathogen spectrum changed significantly ( χ2=39.02, P=0.001), and the positive findings of bacteria ( χ2=11.73, P<0.001) and viruses ( χ2=14.22, P<0.001) decreased significantly. However, the positive rate of enteric adenovirus increased. Conclusions:The pathogen spectrum of children's infectious diarrhea patients shows noticeable seasonal changes in Shanghai. Pathogenic Escherichiacoli, norovirus, and rotavirus are the most common diarrheal pathogens. In recent years, the detection of adenovirus in children with infectious diarrhea has increased. The number of children with infectious diarrhea and the positive rate have decreased significantly during 2020-2021. Specific prevention and control measures should be taken for infectious diarrhea of different ages, pathogens, and seasons.