Nosocomial infection control personnel are crucial in ensuring the nosocomial infection management and the implementation of prevention and control measures. The level of their job competency directly determines the quality and standard of nosocomial infection management. This article reviews the research progress of competency requirements and evaluation indicators of nosocomial infection personnel domestically and internationally. It also summarizes the current gaps and primary reasons behind these gaps in China’s research， so as to offer insights for the future development and improvement of the comprehensive capabilities of these professionals.

ObjectiveTo compare the air disinfection effects of different human-machine coexistence disinfection methods in the high-risk areas of airborne diseases in medical and healthcare institutions, and to provide a reference for the prevention and control of airborne diseases in medical and healthcare institutions. MethodsField trials were conducted in the fever clinic, the infection disease department, and dental clinics of a tertiary hospital in Shanghai, respectively. The existing air disinfection methods (plasma air disinfection machine, circulating air ultraviolet disinfection machine or negative pressure ventilation system), upper-room 222 nm ultraviolet germicidal system, and the combination of the existing air disinfection methods and upper-room 222 nm ultraviolet germicidal system were all used in each location in the experiment group. The control group did not adopt specific air disinfection methods. Air sampling was conducted by the six-level sieve hole microbial sampler or the flat slab exposure method. The daily air sampling time was from 8:00 a.m. to 16:00 p.m., with one sample per hour, and a total of 9 samples were taken. The disinfection effects were compared by calculating the total number of airborne bacteria colonies and the sterilization rate for each disinfection method. ResultsThe total numbers of airborne bacteria colonies in the fever outpatient infusion room, the ward and nurse station of infection disease department of 222 nm group were lower than that in the control group (P=0.005, P<0.001, P<0.001). The total numbers of airborne bacteria colonies in the fever outpatient infusion room and the dental examination room of 222 nm group were lower than that in the control group or plasma air disinfection machine group (P=0.022, P=0.014). The total numbers of airborne bacteria colonies in the nucleic acid sampling room of plasma air disinfection machine group combined with 222 nm group were lower than that in plasma air disinfection machine group (P=0.019). The total numbers of airborne bacteria colonies in the CT examination room of fever clinic of the 222 nm group were lower than that in the circulating air ultraviolet disinfection machine group (P=0.002). The total numbers of airborne bacteria colonies in the CT examination room of 222 nm group combined with circulating air ultraviolet disinfection machine were lower than that of circulating air ultraviolet disinfection machine group and the control group (P=0.008, P<0.001). The air sterilization rate of upper-room 222 nm ultraviolet germicidal system ranged from 48.04% to 73.74%. The air sterilization rate of plasma air/circulating air ultraviolet disinfection machine combined with the upper-room 222 nm ultraviolet germicidal system ranged from 6.86% to 73.77%. ConclusionUpper-room 222 nm ultraviolet germicidal system could effectively reduce airborne colonies in the air and improve air hygiene quality in both clinic and ward environments with high airborne transmission risks.

【Objective】 To evaluate and analyze the impact of COVID-19 epidemic on inventory of red blood cells (RBCs)in local and municipal blood stations in China, and to provide reference for the management of public health emergencies. 【Methods】 Relevant data from 2018 to 2021 were collected, and the differences in the volume of qualified RBCs, the usage efficiency of inventory RBCs, the average daily distribution of RBCs,the blood distribution rate of RBCs prepared by 400 mL whole blood, the difference in the average storage days of RBCs at the time of distribution, the average daily inventory of RBCs and the time of the average daily inventory of RBCs to maintain the distribution in 24 local and municipal blood stations in China during the COVID-19 epidemic and non-epidemic periods were retrospectively analyzed. 【Results】 Compared with non-epidemic periods, the volume of qualified RBCs [(117 525.979 ±52 203.175)U] and the average daily distribution of RBCs [( 156. 468 ± 70. 186) U ] increased significantly, but the usage efficiency of inventory RBCs decreased(97.24%±0.51%) significantly (P<0.05).There was no significant difference in the blood distribution rate of RBCs prepared by 400 mL whole blood(73.88%±20.30%), the average storage days of RBCs distribution(13.040 ±3.486), the average daily stock quantity of RBCs[(2 280.542 ±1 446.538) U ] and the time of the average daily inventory of RBCs to maintain the distribution[(15.062 ±7.453) d] (P>0.5). 【Conclusion】 During the COVID-19 epidemic, the inventory management of RBCs operated well, the overall inventory remained relatively stable, the stock composition and storage period showed no significant change.

Nontuberculous mycobacteria(NTM) diseases have become an important global public health problem attracting more and more attention because of its increasing morbidity. Mycobacteria show intrinsic and acquired resistance to multiple antibiotics, leading to higher difficulty and longer duration of treatment, and more uncertain prognosis than tuberculosis due to limited therapeutic measures. Bacterial phages are viruses that kill bacteria specifically, phage therapy for bacterial infection has been used for almost one century, now become a hot spot. This article reviews the biological characteristics, gene engineering of mycobacteriophages and its clinical applications; also discusses the existing problems in treatments of NTM with bacteriophages.

【Objective】 To understand the current situation of blood components distribution in domestic prefecture-level blood stations through analyzing the components distribution data of 24 prefecture-level blood stations in China. 【Methods】 The data of components distribution of 24 blood stations from 2017 to 2020 as well as the data of blood deployment of 24 blood stations from 2019 to 2020 were collected and analyzed. 【Results】 From 2017 to 2020, positive annual growth in red blood cells, plasma and cryoprecipitate was observed in 22, 19 and 15 out of the 24 blood stations, and the annual growth median rate of above three components was 5.24%, 3.80% and 3.25%, respectively. Among the 24 prefecture-level blood stations, 23 carried out the preparation of cryoprecipitate. 【Conclusion】 The distribution of red blood cells, cryoprecipitate and plasma in prefecture-level blood stations is increasing year by year. However, there is a overstock of plasma, and most blood stations need blood employment.

Objective:To investigate the clinical characteristics and prognostic factors of 2019 novel coronavirus (2019-nCoV) Omicron variant infected cases.Methods:A total of 987 coronavirus disease 2019 (COVID-19) adult imported cases admitted to Shanghai Public Health Clinical Center, Fudan University from July 1, 2021 to January 6, 2022 were recruited. The cases were divided into Omicron group (193 cases) and non-Omicron group (794 cases) according to the genotype of the virus. The clinical data, imaging examination and laboratory results of two groups were collected and compared. Chi-square test and Mann-Whitney U test were used as statistical methods. Multiple linear regression analysis was used for multiple linear regression analysis. Results:The majority of patients in Omicron group were 18 to 30 years old, accounting for 51.3%(99/193), which was higher than 31.4%(249/794) in non-Omicron group. The difference was statistically significant ( χ2=52.75, P<0.001). The proportion of mild cases in Omicron group was 88.6%(171/193), which was higher than 81.6%(648/794) in non-Omicron group. The difference was statistically significant ( χ2=5.37, P=0.021). Cases with symptoms were more common in Omicron group than those in non-Omicron group (60.1%(116/193) vs 29.1%(231/794)), and the difference was statistically significant ( χ2=65.49, P<0.001), with the main clinical manifestations of sore/itchy throat, fever and cough/expectoration. The proportion of cases with pulmonary computed tomography (CT) imaging manifestations at admission in Omicron group was 13.0%(25/193), which was lower than that in non-Omicron group (215/794, 27.1%). The difference was statistically significant ( χ2=16.83, P<0.001). The proportion of cases with 2019-nCoV IgG positive at admission was 47.7%(92/193) in Omicron group, which was lower than 61.1%(485/794) in non-Omicron group, and the difference was statistically significant ( χ2=11.51, P<0.001). The hospitalization time of Omicron group was 20.0 (16.0, 23.0) d, which was longer than that of non-Omicron group (14.0 (10.0, 22.0) d), and the difference was statistically significant ( Z=-7.42, P<0.001). Multiple linear regression analysis showed that the time of hospitalization of cases with 2019-nCoV IgG positive at admission was shorter, while that of the cases with fever in Omicron group was longer (both P<0.050). Conclusions:The main clinical characteristics of cases with Omicron variant are fever and upper respiratory symptoms. Their pulmonary CT imaging manifestations are less, and the time of hospitalization is slightly longer. The time of hospitalization and the virus clearance time in Omicron variant infected cases with 2019-nCoV IgG positive at admission and not presented with fever are both shorter.

Objective To understand the prevalence of nosocomial infection and its potential risk factors through a cross-sectional study, to construct a predictive model of the probability of nosocomial infection, and to provide a basis for nosocomial infection management. Methods The prevalence rate of nosocomial infection and potential risk factors of all inpatients in a tertiary general hospital were investigated on a certain day. The possible risk factors of nosocomial infection were analyzed, and a nomogram prediction model on the probability of nosocomial infection was established. The calibration curve and ROC curve were used to evaluate the predictive efficiency of the model. Results A total of 419 hospitalized patients were investigated, and the prevalence rate of nosocomial infection was 3.58%. The top three nosocomial infections were in ICU, neurosurgery, and cardiac surgery. The top three infection sites were surgical site infections, lower respiratory tract infections, and urinary tract infections. The results of univariate analysis showed that the length of hospital stay, surgery, antimicrobial use and underlying diseases were statistically related to the occurrence of nosocomial infections (all P<0.05). Logistic regression analysis showed that compared with the length of stay (LOS)＜14, the risk of nosocomial infection in patients with long LOS (≥14) was 5.48 (95% CI: 1.68-19.16). The risk of nosocomial infection in patients with two basic diseases was 7.61 times that (95%CI: 1.50-44.79) of patients without underlying diseases. The risk of nosocomial infection in patients with surgery was 4.88 times that of patients without surgery (95%CI: 1.47-19.6). According to the coefficients of the related risk factors calculated by logistic regression, a nomogram model of the occurrence probability of nosocomial infection was established. The C-index of the model was 0.839, and the area under the ROC curve for predictive efficiency was 0.809 (95%CI: 0.740-0.942). Conclusion Nosocomial infection control and management should be strengthened. Individual risk assessment of patients' nosocomial infection should consider about the age, underlying diseases, surgical status, glucocorticoid or immunosuppressive agents, and antimicrobial drug use. It is essential to identify the high-risk groups as soon as possible and take prevention and control measures to reduce the prevalence rate of nosocomial infection.

Administration, Intravenous ; Ascorbic Acid/therapeutic use* ; COVID-19 ; Humans ; Pneumonia ; SARS-CoV-2

Objective To analyze the clinical features of patients with coronavirus disease 2019 (COVID-19) in Shanghai and to investigate the risk factors for disease progression to severe cases. Methods The clinical data of 292 adult patients with COVID-19 hospitalized in Shanghai Public Health Clinical Center from January 20, 2020 to February 10, 2020 were retrospectively analyzed, including 21 severe patients and 271 mild patients. The demographic characteristics, epidemiological history, history of underlying diseases and laboratory examinations were compared between the two groups. Measurement data were compared using t test or Mann-Whitney U test. The count data were compared using hi-square test. The binary logistic regression equation was used to analyze the risk factors for the progression of patients to severe cases. Results Among the 292 patients, 21 were severe cases with the rate of 7.2% (21/292). One patient died, and the mortality rate was 4.8% in severe patients. The severe patients aged (65.0±15.7) years old, 19 (90.5%) were male, 11 (52.4%) had underlying diseases, 7 (33.3%) had close relatives diagnosed with COVID-19. The mild patients aged (48.7±15.7) years old, 135 (49.8%) were male, 74 (27.3%) had underlying diseases, 36 (13.3%) had close relatives diagnosed with COVID-19. The differences between two groups were all significant statistically ( t =-4.730, χ 2 =12.930, 5.938 and 4.744, respectively, all P <0.05). Compared with the mild patients, the levels of absolute numbers of neutrophils, alanine aminotransferase, aspartate aminotransferase, lactate dehydrogenase, creatinine, serum cystatin C, C reactive protein (CRP), procalcitonin , D -dimer, pro-B-type natriuretic peptide (proBNP), serum myoglobin, creatine kinase (CK), creatine kinase isoenzyme (CK-MB), serum troponin I (cTnI) in severe patients were all significantly higher ( U =2 091.5, 1 928.0, 1 215.5, 729.0, 1 580.5, 1 375.5, 917.5, 789.5, 1 209.0, 1 434.0, 638.0, 964.5, 1 258.0 and 1 747.5, respectively, all P <0.05), while the levels of lymphocyte count, albumin, transferrin, CD3 + T lymphocyte count, CD8 + T lymphocyte count and CD4 + T lymphocyte count in severe patients were all significantly lower ( U =1 263.5, t =4.716, U =1 214.0, 962.0, 1 167.5 and 988.0, respectively, all P <0.05). Further logistic regression analysis showed that the albumin (odds ratio ( OR )=0.806, 95% CI 0.675-0.961), CRP ( OR =1.016, 95% CI 1.000-1.032), serum myoglobin ( OR =1.010, 95% CI 1.004-1.016), CD3 + T lymphocyte count ( OR =0.996, 95% CI 0.991-1.000) and CD8 + T lymphocyte count ( OR =1.006, 95% CI 1.001-1.010) at admission were independent risk factors for the progression of COVID-19 patients to severe illness (all P <0.05). Conclusions Severe cases of patients with COVID-19 in Shanghai are predominantly elderly men with underlying diseases. Albumin, CRP, serum myoglobin, CD3 + T lymphocyte count and CD8 + T lymphocyte count could be used as early warning indicators for severe cases, which deserve more clinical attention.

To dynamically investigate the distribution and antimicrobial resistance profiles of bacteremia pathogens isolated from different regions in China in 2011, 2013 and 2016. Non-repetitive isolates from nosocomial bloodstream infections were retrospectively collected and detected for antimicrobial susceptibility tests (AST) by agar dilution or microbroth dilution methods. Whonet 5.6 was used to analyze the AST data. Among 2 248 isolates, 1 657 (73.7%) were Gram-negative bacilli and 591 (26.3%) were Gram-positive cocci. The top five bacteremia pathogens were as follows, Escherichia coli (32.6%, 733/2 248), Klebsiella pneumoniae (14.5%, 327/2 248), Staphylococcus aureus (10.0%, 225/2 248), Acinetobacter baumannii (8.7%, 196/2 248) and Pseudomonas aeruginosa (6.2%, 140/2 248). Colistin (96.5%, 1 525/1 581, excluding innate resistant organisms), tigecycline (95.6%, 1 375/1 438, excluding innate resistant organisms), ceftazidine/clavulanate acid (89.2%, 1 112 /1 246), amikacin (86.4%, 1 382/1 599) and meropenem (85.7%, 1 376/1 605) showed relatively high susceptibility against Gram-negative bacilli. While tigecycline, teicoplanin and daptomycin (the susceptibility rates were 100.0%), vancomycin and linezolid (the susceptibility rates were 99.7%) demonstrated high susceptibility against Gram-positive cocci. The prevalence of extended-spectrum β-lactamases (ESBLs)-producing Enterobacteriaceae were 50.6% (206/407), 49.8% (136/273) and 38.9% (167/429) in 2011, 2013 and 2016 respectively; carbapenem-non-susceptible Enterobacteriaceae were 2.2% (9/408), 4.0% (16/402) and 3.9% (17/439) in 2011, 2013 and 2016 respectively; The prevalence of multidrug-resistant A. baumannii (MDRA) was 76.4% (55/72) in 2011, 82.7% (43/52) in 2013 and 87.5% (63/72) in 2016, respectively. The prevalence of multidrug-resistant P. aeruginosa (MDRP) was 9.8% (5/51) in 2011, 20.0% (7/35) in 2013 and 13.0% (7/54) in 2016, respectively. The prevalence of methicillin-resistant S. aureus (MRSA) was 51.9% (41/79) in 2011, 29.7% (19/64) in 2013 and 31.7% (26/82) in 2016, respectively. The prevalence of high level gentamicin resistance (HLGR) of Enterococcus faecium and Enterococcus faecalis were 43.2% (48/111) and 40.9% (27/66), respectively. The predominant organism of carbapenem-non-susceptible Enterobacteriaceae was K. pneumoniae with its proportion of 57.1% (24/42). Among 30 tigecycline-non-susceptible Enterobacteriaceae, K. pneumoniae was the most popular organism with 76.7% (23/30). Among 39 colistin-resistant Enterobacteriaceae, E. coli, Enterobacter cloacae and K. pneumoniae were constituted with the percent of 43.6 (17/39), 35.9 (14/39) and 15.4 (6/39), respectively. The Gram-negative bacilli (E. coli and K. pneumoniae were the major organisms) were the major pathogens of nosocomial bacteremia, to which tigecycline, colistin and carbapenems kept with highly in vitro susceptibility. Whereas, among the Gram-positive cocci, S. aureus was the top 1 isolated organism, followed by E. faecium, to which tigecycline, daptomycin, linezolid, vancomycin and teicoplanin kept with highly in vitro susceptibility. Isolation of colistin-resistant Enterobacteriaceae, tigecycline-non-susceptible Enterobacteriaceae, linezolid- or vancomycin-non-susceptible Gram-positive cocci suggests more attention should be paid to these resistant organisms and dynamic surveillance was essential.