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Objective To investigate the pathogenic characteristics and use of antibiotics in children with acute osteomyelitis,and to provide evidence for rational drug use in the clinic.Methods The clinical data of 266 children with acute osteomyelitis admitted to the Department of Orthopedics,Children's Hospital Affiliated to Zhengzhou University from January 2019 to December 2022 were retrospectively analyzed,and the basic information,pathogenic microorganisms,drug sensitivity test results,and antibacterial drug use of the children were statistically analyzed.Results In 266 cases of pediatric acute osteomyelitis,all underwent pathogen examination,and 148 cases were cultured for pathogens with a positive detection rate of 55.64％.A total of 154 strains of bacteria were detected.The top three pathogens were Staphylococcus aureus(104 strains,67.53％),Staphylococcus epidermidis(8 strains,5.19％),and Staphylococcus hominis(7 strains,4.55％).The detection rate of methicillin-resistant Staphylococcus aureus(MRSA)was 33.65％.Compared with methicillin-sensitive Staphylococcus aureus(MSSA),there was no significant difference in disease severity and prognosis of infection with MRSA.The utilization rate of antibiotics was 100.00％;227 cases of empirical antibiotics were used alone,accounting for 85.34％,primarily using ceftriaxone.Combination therapy was used in 39 cases,accounting for 14.66％,mainly ceftriaxone combined with vancomycin;the average course of intravenous drugs was 40.20 days.After receiving the drug sensitivity test results in 148 cases,76 cases(51.35％)continued the original treatment plan due to effective treatment.In 37 cases(25.00％),treatment was adjusted based on the drug sensitivity results due to poor treatment outcomes;the drug sensitivity results indicated sensitivity,but the clinical effect was not good in 25 cases accounting for 16.89％,which changed the drug treatment.In 10 cases(6.76％),clinical treatment was effective,leading to a switch to narrow-spectrum antibiotics or a change from combination therapy to monotherapy based on drug sensitivity results.Conclusion Empiric antibacterial therapy can cover common pathogens in children with acute osteomyelitis,and medication regimens can be adjusted according to clinical efficacy and drug sensitivity.However,the course of intravenous antibiotic treatment is too long,so it is necessary to further optimize the timing of transitioning from intravenous to oral administration.
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Objective To analyze the clinical characteristics and the antimicrobial resistance of respiratory tract infection in children in Baoshan City,guide clinicians to rationally apply antibiotics,and improve the success rate of treatment.Methods Retrospective analysis of the distribution characteristics and drug sensitivity results of 1039 strains of pathogens detected in pediatric inpatients of hospitals from 2019 to 2022 was conducted.Results The main pathogens causing the respiratory infections in children in Baoshan area were Streptococcus pneumoniae,Escherichia coli,Staphylococcus aureus,Haemophilus influenzae,Klebsiella pneumoniae and Pseudomonas aeruginosa.Analysis of the drug sensitivity results of pathogenic bacteria with a detected quantity greater than 80 revealed that Streptococcus pneumoniae had a high resistance rate to erythromycin,clindamycin,and compound sulfamethoxazole.The resistance rates of penicillin,ceftriaxone,cefotaxime,and meropenem were P<0.05,and the difference was statistically significan.Methicillin-resistant Staphylococcus aureus(MRSA)was11.1%;CTX/CRO-R-ECO,CTX/CRO-R-KPN,CR-ECO and CR-KPN were lower than the 2021 ISPED level;The P.aeruginosa drug resistance rate and H.influenzae's ampicillin and ampicillin/sulbactam were higher than the 2021 ISPED level.Conclusion The treatment of respiratory tract infections in pediatric patients faces great challenges.The non-standard use of empirical medication has led to the emergence of multidrug-resistant bacteria,and the selection of anti infection treatment drugs is limited.Therefore,it is imperative to grasp the epidemic characteristics and drug resistance of pathogenic bacteria in the local area.
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Objective To analyze the influencing factors of peritoneal dialysis associated peritonitis(PDAP)and the distribution characteristics of pathogenic bacteria.Methods The clinical data of 257 patients who underwent peritoneal dialysis(PD)and regular follow-up in Meizhou People's Hospital from January 2012 to October 2022 were retrospectively analyzed.According to the occurrence of PDAP,the patients were divided into the PDAP group(n=102)and the non-PDAP group(n=155).The exhaled liquid(5-10 mL)was extracted with a sterile syringe,and the pathogen was identified by blood culture method.General data such as gender,age,primary disease,education level,whether complicated with hypertension/diabetes/cardiovascular diseases,whether keeping pets or poultry,body mass index(BMI)and dialysis duration were collected.Fasting elbow venous blood was drawn in the morning of the next day after diagnosis,the levels of hemoglobin(Hb),albumin(ALB),serum potassium,serum phosphorus,and serum calcium were detected.The estimated glomerular filtration rate(eGFR)and urea clearance index(UCI)were recorded.Multivariate logistic regression was used to analyze the risk factors of PDAP in PD patients.Results There were 217 cases of PDAP in 102 patients with PDAP,and 124 cases(57.14％)were positive for pathogen culture.A total of 127 pathogenic bacteria were isolated,including 84 Gram-positive strains(66.14％),39 Gram-negative strains(30.71％)and 4 Fungi strains(3.15％).Among the 84 strains of Gram-positive bacteria,there were 25 strains of staphylococcus epidermidis(29.76％),17 strains of staphylococcus aureus(20.24％),12 strains of staphylo-coccus haemolyticus(14.29％),8 strains of staphylococcus warneri(9.52％),10 strains of streptococcus salivarius(11.90％),5 strains of streptococcus sanguis(5.95％),and 7 other strains(8.33％).Among the 39 strains of Gram-nega-tive bacteria,there were 20 strains of escherichia coli(51.28％),6 strains of pseudomonas aeruginosa(15.38％),6 strains of acinetobacter baumannii(15.38％),5 strains of klebsiella pneumoniae(12.82％),and 2 strains of enterobacter cloacae(5.13％).Among the 4 strains of Fungi,there were 3 strains of near-smooth candida(75.00％)and 1 strain of candida glabrata(25.00％).There was no significant difference in gender,age,primary disease,education level,BMI,and the propor-tion of comorbidities with hypertension,diabetes and cardiovascular diseases between the PDAP and non-PDAP groups(P＞0.05).The proportion of patients keeping pets or poultry in the PDAP group was higher than that in the non-PDAP group,and the dialysis duration was longer than that in the non-PDAP group(P＜0.05).There was no significant difference in serum phosphorus,serum calcium,eGFR and UCI between the PDAP and non-PDAP groups(P＞0.05).The levels of Hb,ALB and serum potassium in the PDAP group were significantly lower than those in the non-PDAP group(P＜0.05).Logistic regression analysis showed that keeping pets or poultry and long dialysis duration were risk factors for PDAP in PD patients(P＜0.05).High Hb and ALB levels were protective factors for PDAP in PD patients(P＜0.05).There was no correlation between serum potassium and PDAP in PD patients(P＞0.05).Conclusion Gram-positive bacteria are the main pathogenic bacteria of PDAP,among which staphylococcus epidermidis is the predominant one.Keeping pets or poultry and long dialysis duration are risk factors for PDAP,while high Hb and ALB levels are protective factors for PDAP in PD patients.
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Objective:To explore the drug resistance of pathogens in puerperal infection of pregnant women with diabetes mellitus (GDM), and analyze the influence of puerperal infection on the expression of toll like receptor 4 (TLR4) inflammatory pathway in peripheral blood monocytes.Methods:A retrospective selection was conducted on 120 GDM postpartum women who underwent regular prenatal check ups and delivery at the 903th Hospital of the PLA (People′s Liberation Army) Joint Logistic Support Force from January 2020 to October 2022. The postpartum infection status, pathogenic characteristics of the infected pathogens, and drug resistance of the mothers were analyzed; According to the postpartum infection situation, the parturients were divided into an infected group and an uninfected group. Logistic regression analysis was used to analyze the relevant factors affecting postpartum infection, and the TLR4 protein and mRNA expression levels of peripheral blood mononuclear cells in the two groups were compared.Results:Among 120 GDM pregnant women, 21 cases (17.50%) developed post infection, including 8 cases (38.10%) of incision infection, 6 cases (28.57%) of uterine cavity infection, 4 cases (19.05%) of urinary system infection, and 3 cases (14.28%) of blood infection; A total of 43 pathogenic bacteria were detected, including 26 Gram negative bacteria (60.46%), 14 Gram positive bacteria (32.56%), and 3 fungi (6.98%). Among the main Gram negative bacteria, escherichia coli had the highest resistance rate to ceftazidime and tetracycline, and had not developed resistance to meropenem; Pseudomonas aeruginosa had the highest resistance rate to ceftazidime and gentamicin. Among the main Gram positive bacteria, staphylococcus aureus had the highest resistance rate to penicillin G and ceftazidime, and had not developed resistance to vancomycin; Enterococcus faecalis had the highest resistance rate to clindamycin. The results of multivariate logistic regression analysis showed that postpartum hemorrhage, premature rupture of membranes, and poor control of prenatal blood sugar were independent risk factors for postpartum infection in GDM mothers (all P<0.05). The expression rate of TLR4 protein, relative expression level of TLR4 mRNA, and levels of tumor necrosis factor-α (TNF-α), interleukin (IL)-1, and IL-10 in the infected group were significantly higher than those in the non infected group (all P<0.05). Conclusions:The distribution and drug resistance of pathogenic bacteria in postpartum infections of GDM mothers have certain characteristics. Postpartum hemorrhage, premature rupture of membranes, and poor control of prenatal blood sugar are independent risk factors affecting postpartum infections in GDM mothers; The TLR4 inflammatory pathway in peripheral blood mononuclear cells may be involved in the occurrence and development of postpartum infection in GDM mothers.
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Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO2), fine particulate matter (PM2.5), and inhalable particulate matter (PM10) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min−1, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO2 concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM2.5, and PM10 in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO2, but 0% for humidity. The overall median (P25, P75) total bacteria count was 177 (138,262) CFU·m−3. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.
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Objective To understand the distribution and drug resistance of pathogenic bacteria in sputum culture of pneumonia, and to provide evidence for the rational application of clinical antibacterial drugs . Methods The clinical data of 475 patients with positive sputum bacterial culture admitted to department of respiratory medicine of Neijiang Hospital of Traditional Chinese Medicine from May 2020 to May 2023 were collected. The types and drug resistance of pathogenic bacteria isolated from sputum culture were statistically analyzed . Results A total of 539 strains of pathogenic bacteria were isolated from the sputum culture of 475 patients with pneumonia, including 344 strains (63.82%) of Gram-negative bacteria [mainly Klebsiella pneumoniae (79 strains, 14.66%)] and 195 strains (36.18%) of Gram-positive bacteria [mainly Streptococcus pneumoniae (70 strains, 12.99%)]. Klebsiella pneumoniae was highly sensitive to aztreonam, levofloxacin, amikacin, imipenem, and ertapenem, with the sensitivity rates of 94.67%, 92.41%, 94.87%, 96.00% and 98.67% respectively. Streptococcus pneumoniae was absolutely sensitive to teicoplanin, vancomycin and linezolid, and was highly sensitive to cefpirome, levofloxacin, imipenem and ertapenem, with the sensitivity rates of 94.29%, 91.43%, 97.14% and 98.48%. Conclusions The common pathogenic bacteria of patients with pneumonia in Neijiang Hospital of Traditional Chinese Medicine include Klebsiella pneumoniae and Streptococcus pneumoniae. Various pathogenic bacteria have different degrees of resistance to common antibacterial drugs. It is necessary to combine with the types and drug susceptibility results of pathogenic bacteria for the rational application of antibacterial drugs.
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@#Abstract: Objective To analyze the distribution characteristics of the main pathogens of HIV/AIDS patients with wound infections and provide basis for clinical diagnosis and treatment. Methods The clinical data of 294 patients with positive secretions or pus specimens from 2016 to 2020 were analyzed retrospectively. Results A total of 357 strains of pathogenic bacteria were isolated from 294 cases, of which 123 strains of Gram-negative bacilli (G-b), accounting for 34.5%, were mainly Escherichia coli (15.4%), Klebsiella pneumoniae (3.9%), and Pseudomonas aeruginosa (3.6%); Gram-positive bacilli (G+b) 14 strains, accounting for 3.9%; 108 Gram-positive cocci (G+c), accounting for 30.3%, of which 44 strains were coagulase-positive Staphylococcus aureus (12.3%), Coagulase-negative staphylococci were mainly Staphylococcus epidermidis (4.2%) and Staphylococcus hemolyticus (2.8%); 37 strains of fungi, accounting for 10.4%, were mainly Candida albicans (5.9%); 75 strains of Mycobacterium, accounting for 21.0%, including 41 strains of Mycobacterium tuberculosis (11.5%) and 34 strains of non-tuberculosis mycobacteria (9.5%). 52 of the 294 HIV/AIDS patients had mixed infections, accounting for 17.7%. There was significant difference in the distribution of G+c, G-b, mycobacteria and mixed infection among different specimen sources (P<0.05), and there was significant difference in the distribution of mycobacteria among different CD4+T lymphocyte counts (P<0.05). There was significant difference in the level of CD4+T lymphocytes between patients of different ages (P<0.05), and there was significant difference in the level of CD4+T lymphocytes from postoperative incision and other parts (P<0.05). Conclusions Patients with HIV/AIDS are prone to combined wound infections with various pathogenic bacteria. We should strengthen the research on wound infection in HIV/AIDS patients, and timely send patients with a low number of CD4+T lymphocytes for secretion or pus culture, so as to carry out targeted treatment and improve the prognosis of patients.
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@#Abstract: Objective To analyze the distribution and drug resistance of pathogenic bacteria in blood culture specimens of patients with bloodstream infections before and after COVID-19 (2018-2019 and 2020-2021), and to provide scientific basis and reference for rational treatment and effective control of bloodstream infections in the post-epidemic period. Methods Blood culture specimens were collected from patients in Zhongnan Hospital of Wuhan University in the two years before and after the COVID-19 outbreak (2018-2021). The Automated Blood Culture Systems were used to perform blood culture on blood specimens sent for clinical inspection, and the Vitek MS automatic bacterial identification mass spectrometer was used for strain identification and the Vitek 2 automatic bacterial drug susceptibility analyzer was used for drug susceptibility testing and drug resistance analysis. Results Blood culture specimens were performed on 28 736 patients with suspected bloodstream infection submitted for inspection from January 2018 to December 2019, and a total of 2 181 strains of pathogenic bacteria were detected after removing duplicate strains, with a positive rate of 7.69%, including 1 046 strains of Gram-negative bacteria, accounting for 47.96%. From January 2020 to December 2021, blood culture specimens from 26 083 patients with suspected bloodstream infection were submitted for inspection, and a total of 2 111 strains of pathogenic bacteria were detected after excluding duplicate strains, with a positive rate of 8.09%, including 1 000 strains of Gram-negative bacteria accounted for 47.37%. The drug resistance of Klebsiella pneumoniae was relatively serious, and the sensitivity rate to ertapenem, polymyxin B and tigecycline was more than 90%. The main non-fermentative bacteria Acinetobacter baumannii was more than 50% sensitive to piperacillin/tazobactam, amikacin and polymyxin B. The sensitivity rates of Pseudomonas aeruginosa to piperacillin/tazobactam, ceftazidime, cefepime, amikacin, gentamicin, tobramycin, ciprofloxacin, levofloxacin, piperacillin and meropenem were more than 50%. Conclusions In the two years before and after COVID-19, there are many types of pathogenic bacteria in bloodstream infection, but the distribution do not differ significantly. The pathogens of bloodstream infection are mainly distributed in ICU, hepatobiliary research institute, and nephrology department. Among them, Gram-negative bacteria such as Escherichia coli, Klebsiella pneumoniae and Acinetobacter baumannii are the main ones, and different pathogens showed great differences in drug resistance.
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@#Abstract: Objective To investigate the epidemiological characteristics of pathogens causing bloodstream infection in hematology patients during treatment and to compare the effects of allogeneic hematopoietic stem cell transplantation (HSCT) on them, so as to provide evidence for the diagnosis and treatment of bloodstream infection. Methods A total of 292 cases with bloodstream infection in hematology wards of the PLA General Hospital were collected from 2017 to 2021, which were divided into HSCT group and N-HSCT group according to whether performed HSCT or not. The epidemiological characteristics and influence of pathogenic bacteria in blood stream infection were analyzed and compared between the two groups. Results A total of 362 strains of pathogenic bacteria were collected from 292 cases, including 106 strains in HSCT group (84 cases) and 256 strains in N-HSCT group (208 cases). Bloodstream infections were more common in acute myeloid leukemia (130/392, 44.52%), followed by non-Hodgkin's lymphoma (74/292, 25.34%). The rate of once bloodstream infection in HSCT group was higher than that in N-HSCT Group, but the rate of twice bloodstream infections in N-HSCT group was higher. Gram-negative Bacilli were the most common pathogens (56.08%), with Escherichia coli being absolutely dominant (109/362, 30.11%), followed by Klebsiella pneumoniae (39/362, 10.77%). Coagulase-negative staphylococci (CoNS) (107/362, 29.56%) were the most common Gram-positive cocci. The detection rate of fungi in HSCT group (10/106, 9.43%) was significantly higher than that in N-HSCT Group (3.52%). The drug resistance rate of the common pathogenic bacteria was at a high level, and there was a certain proportion of multi-drug resistant strains (except for Pseudomonas aeruginosa). The resistance rates of CoNS to penicillin, gentamicin, moxifloxacin, clindamycin and rifampicin in HSCT group were higher than those in N-HSCT Group. The resistance rate of Escherichia coli to piperacillin/tazobactam, cephalosporins and etapenem in HSCT group was significantly higher than that in N-HSCT group. Conclusions The pathogens of blood stream infection in hematology patients are complicated and various. It is difficult for clinical diagnosis and treatment to detect multiple infections and multiple pathogens. HSCT patients have a higher risk of fungal bloodstream infection and more multi-drug resistant strains detected. Therefore, the identification of bloodstream infection and multi-drug resistant strains associated with HSCT patients should prompt surveillance.
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@#Abstract: Objective To investigate the distribution and drug resistance of pathogenic bacteria separated from ascites of patients in Children’s Hospital Affiliated to Zhengzhou University from 2015 to 2021, and to provide a basis for rational clinical antimicrobial agents. Methods Bacterial culture, bacterial identification and drug sensitivity analysis were performed on 1 058 non-duplicate ascites culture specimens from January 2015 to December 2021. The clinica1 and microbiologica1 data were ana1yzed by WHONET 5.6 and SAS 9.4 Results Of the 1 058 specimens, 586 (55.39%) were positive for pathogenic bacteria, with a total of 781 strains isolated. There was no significant trend of increase or decrease in the positivity rate over different years. Male children (63.99%) were more prevalent than female children. Appendicitis (59.22%) was the most common disease and Escherichia coli was the most common causative bacteria. Among neonates (≤28 d), the bacteria with the highest detection rate were Klebsiella pneumoniae (23.50%) and Enterococcus faecium (23.50%), while among children (>28 d), the highest detection rate was Escherichia coli (35.98%). Gram-negative bacteria accounted for 64.79% of the 781 strains, mainly Escherichia coli (38.28%), Klebsiella pneumoniae (8.58%), and Pseudomonas aeruginosa (5.89%); Gram-positive bacteria accounted for 29.45%, mainly Enterococcus faecium (8.58%), Streptococcus constellatus (2.69%), and Enterococcus avium (2.43%); fungi accounted for 1.66% and anaerobic bacteria accounted for 4.10%. The resistance rates of Escherichia coli to cefoperazone/sulbactam, piperacillin/tazobactam, imipenem and meropenem were 6.02%, 4.35%, 4.35%, and 3.68%, respectively. The resistance rates of Klebsiella pneumoniae to these drugs were 59.70%, 59.70%, 50.75% and 53.73% respectively. Linezolid-resistant strains of Enterococcus faecium were found. Conclusion Appendicitis is the most common abdominal infection in children, and the distribution of ascites pathogens varies with ages and diseases. The pathogenic bacteria are mainly Gram-negative bacteria, and the drug resistance of Klebsiella pneumoniae was more serious. It is particularly important to use antibiotics correctly and rationally to reduce the emergence of drug resistant bacteria.
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OBJECTIVE@#To investigate the distribution and drug sensitivity of pathogenic bacteria isolated from patients in hematology department, in order to provide evidence for rational use of antibiotics in clinic.@*METHODS@#The distribution of pathogenic bacteria and drug sensitivity data of patients in the hematology department of The First Affiliated Hospital of Nanjing Medical University from 2015 to 2020 were retrospectively analyzed, and the pathogens isolated from different specimen types were compared.@*RESULTS@#A total of 2 029 strains of pathogenic bacteria were isolated from 1 501 patients in the hematology department from 2015 to 2020, and 62.2% of which were Gram-negative bacilli, mainly Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Stenotrophomonas maltophilia and Acinetobacter baumannii. Gram-positive coccus accounted for 18.8%, mainly Coagulase-negative staphylococcus (CoNS) and Staphylococcus aureus. Fungi (17.4%) were mainly candida. The 2 029 strains were mainly isolated from respiratory tract (35.1%), blood (31.8%) and urine (19.2%) specimens. Gram-negative bacilli were the main pathogenic bacteria in different specimen types (>60%). K. pneumoniae, S. maltophilia and A. baumannii were the most common pathogens in respiratory specimens, E. coli, CoNS, K. pneumoniae and P. aeruginosa were common in blood samples, and E. coli and Enterococcus were most common in urine samples. Enterobacteriaceae had the highest susceptibility to amikacin and carbapenems (>90.0%), followed by piperacillin/tazobactam. P. aeruginosa strains had high sensitivity to antibiotics except aztreonam (<50.0%). The susceptibility of A. baumannii to multiple antibiotics was less than 70.0%. The antimicrobial resistance rates of E. coli and K. pneumoniae in respiratory tract specimens were higher than those in blood specimens and urine specimens.@*CONCLUSION@#Gram-negative bacilli are the main pathogenic bacteria isolated from patients in hematology department. The distribution of pathogens is different in different types of specimens, and the sensitivity of each strain to antibiotics is different. The rational use of antibiotics should be based on different parts of infection to prevent the occurrence of drug resistance.
Subject(s)
Humans , Escherichia coli , Retrospective Studies , Bacteria , Anti-Bacterial Agents/therapeutic use , Gram-Negative Bacteria , Drug Resistance , Pseudomonas aeruginosa , Hematology摘要
OBJECTIVE@#To analyze the pathogenic bacterial spectrum, drug resistance, and risk factors associated with multidrug-resistant bacterial infection and mortality in patients with hematologic diseases complicated by bloodstream infections, so as to provide reference for rational drug use and improving prognosis.@*METHODS@#Positive blood culture specimens of patients with hematologic diseases in two Class A tertiary hospitals of Shanxi province from January 2019 to December 2021 were retrospectively analyzed. Pathogen distribution, drug resistance and outcomes of patients with bloodstream infection were investigated, then the multivariate logistic analysis was performed to analyze the risk factors of multidrug-resistant bacterial infection and factors affecting prognosis.@*RESULTS@#203 strains of pathogens were identified, mainly Gram-negative bacteria (GNB) (69.46%, 141/203), of which Escherichia coli (E.coli) had the highest incidence (41.13%, 58/141), followed by Klebsiella pneumoniae (20.57%, 29/141) and Pseudomonas aeruginosa (12.77%, 18/141). Extended-spectrum beta-lactamase (ESBL)-producing E.coli and Klebsiella pneumoniae were 46.55% (27/58) and 37.93% (11/29), respectively. Carbapenem-resistant Gram-negative bacteria accounted for 10.64% (15/141). And Gram-positive bacteria accounted for 27.59% (56/203), Staphylococcus epidermidis, Streptococcus pneumoniae, and Staphylococcus aureus were the most frequently isolated pathogen among Gram-positive bacteria (14.29%, 12.50% and 10.71%, respectively), of which methicillin-resistant Staphylococcus aureus accounted for 33.33% (2/6), coagulase-negative staphylococci accounted for 87.50% (7/8), without vancomycin- or linezolid-resistant strain. Additionally, fungi accounted for 2.95% (6/203), all of which were Candida. Multidrug-resistant Gram-negative bacteria (MDR-GNB) accounted for 53.90% (76/141). Duration of neutropenia >14 days was a risk factor for developing MDR-GNB infection. The 30-day all-cause mortality was 10.84%. Multivariate logistic regression analysis showed that the significant independent risk factors for mortality were age≥60 years (P <0.01, OR =5.85, 95% CI: 1.80-19.07) and use of vasopressor drugs (P <0.01, OR =5.89, 95% CI: 1.83-18.94).@*CONCLUSION@#The pathogenic bacteria of bloodstream infection in patients with hematological diseases are widely distributed, and the detection rate of multidrug-resistant bacteria is high. The clinicians should choose suitable antibiotics according to the results of bacterial culture and antibiotic susceptibility test.
Subject(s)
Humans , Middle Aged , Bacteremia/mortality , Bacteria/isolation & purification , Drug Resistance , Drug Resistance, Bacterial , Gram-Negative Bacteria , Hematologic Diseases/complications , Methicillin-Resistant Staphylococcus aureus , Retrospective Studies , Risk Factors , Sepsis/mortality摘要
Objective To evaluate the effect of targeted monitoring and multi-modular improvement strategy on the prevention and control of catheter-associated urinary tract infection(CAUTI).Methods Patients with indwe-lling urinary catheter in a tertiary first-class hospital from January 2018 to December 2022 were selected as the re-search subjects.Targeted monitoring results and distribution of pathogenic bacteria in 5 consecutive years were ana-lyzed,and a multi-modular improvement strategy based on the targeted monitoring results was implemented.The occurrence of CAUTI before and after implementation,status and effectiveness of training in prevention and control measures were compared respectively.Results Before and after the implementation of the multi-modular improve-ment strategy,health care workers'compliance rate of hand hygiene,awareness rate of prevention and control measures,and implementation rate of prevention and control measures all increased significantly(all P＜0.001).Targeted monitoring results showed that daily test rates of urine culture and routine urine from patients with in-dwelling catheters have been on the rise in 5 consecutive years(P＜0.05).A total of 397 cases of CAUTI occurred in the past 5 years.Incidences of CAUTI in general intensive care unit(ICU)and surgical ICU showed decreasing trends in 5 consecutive years(all P＜0.05).Incidence of CAUTI in general wards showed no statistically significant difference in 5 years(P=0.088).A total of 431 strains of pathogenic bacteria were detected,mainly Gram-negative bacteria.Daily incidence of multidrug-resistant organism infection in patients with indwelling catheters was 0.12‰.After the implementation of the multi-modular improvement strategy,incidence of CAUTI in all departments re-duced significantly(P＜0.05).Conclusion Targeted monitoring can help identify departments with high-risk of CAUTI,multi-modular improvement strategy can raise the quality of prevention and control of CAUTI in all occa-sions,reduce the incidence of CAUTI,and is worthy of clinical promotion and application.
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Objective To analyze the epidemiological characteristics and drug resistance of pathogenic bacteria in 276 hospitalized children with lower respiratory tract infection to facilitate prevention and treatment. Methods Among of 276 hospitalized children with lower respiratory tract infection from January 2019 to December 2021 were analyzed. Data on the distribution of pathogenic bacteria were collected and analyzed. At the same time, the information on drug resistance was collected, and the potential relationship between pathogen distribution and drug resistance was briefly analyzed and discussed. Results A total of 532 strains of pathogenic bacteria were detected in the blood samples from 276 patients in this study. There were 207 strains of Gram-positive bacteria, including 104 strains of Staphylococcus aureus, 96 strains of Staphylococcus epidermidis and 7 strains of others. Gram negative bacteria (325 strains) were 172 strains of Klebsiella and 153 strains of Escherichia coli. The distribution of pathogenic bacteria in different gender and age groups (under 5 years old, 5-10 years old, and over 10 -14 years old) was calculated separately. The results showed that the distribution of pathogenic bacteria in female children under 5 years old (n=49 cases) was different from the total population: the infection of Gram-positive bacteria was higher than that of Gram-negative bacteria, and the proportion of Staphylococcus epidermidis was the highest (P<0.05). The distribution characteristics of children of other ages and sexes were consistent with the total distribution characteristics. The resistance rate of Gram-positive bacteria to penicillin, erythromycin and clarithromycin was high, while the resistance rate of Gram-negative bacteria to ampicillin, cefazolin and cefuroxime was high. The distribution characteristics were the same in children of different sex and age. Conclusion The pathogenic bacteria in children with lower respiratory tract infection in pediatric ward are mainly Gram-negative bacteria, and the main pathogenic bacteria have a high resistance rate to common drugs. The distribution of pathogenic bacteria in female children under 5 years old is unique: the infection of Gram-positive bacteria is higher than that of Gram-negative bacteria, and the proportion of Staphylococcus epidermidis is the highest, which deserves attention. The clinical drug sensitivity test can be used as an important reference for the treatment of drugs to guide the rational selection of antibiotics.
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Aims@#This study aimed to isolate and identify different types of Gram-positive and Gram-negative bacteria from patients admitted to the general hospital of Duhok and Zakho cities. Isolates were identified based on standard microbiological and biochemical methods of bacterial identification.@*Methodology and results@#In total, 2922 urine, throat swab and sputum samples (1941 females and 981 males) were collected and investigated. The findings indicated that Staphylococcus pneumonia and Staphylococcus aureus were prevalent among pathogens isolated from patients admitted to the general hospital of Zakho and Duhok cities, respectively. At Zakho hospital, the analysis of samples revealed that the rate of Streptococcus pneumonia isolation in urine samples was 15.83% for males and 22.92% for females. Regarding throat swabs, the rate was 5.43% for males and 4.87% for females. In terms of sputum, the rate of S. aureus isolation was 3.78% for males and 4.10% for females. On the other hand, in Duhok City, the results showed that the isolation rate of S. aureus was 20.25%, 3.58% and 4.83% in males for urine, sputum and throat swabs, respectively. The isolation rate of S. aureus 19.23%, 3.58% and 4.92% in females for urine, sputum and throat swabs, respectively. Moreover, the study highlighted the resistance of selected bacteria to different antibiotics, with Pseudomonas aeruginosa being the most resistant and Escherichia coli being the most sensitive. @*Conclusion, significance and impact of study @#The study highlights the prevalence of S. pneumonia and S. aureus in Zakho and Duhok cities. Gender-based differences were observed in the S. pneumonia rates in urine samples of patients from Zakho hospital. The findings of this study revealed antibiotic resistance in bacterial isolates, with P. aeruginosa being the most resistant and E. coli was the most sensitive. These findings can assist in forming more effective management strategies for patients with bacterial infections.
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Objective To investigate the expression of serum soluble leukocyte differentiation antigen 14 subtype(sCD14-ST)in children with bacterial pneumonia and its relationship with the types of pathogen in-fection and disease outcome.Methods A total of 98 children with bacterial pneumonia admitted to the hospi-tal from January 2022 to March 2023 were selected as the bacterial pneumonia group.According to the types of pathogen infection infection,the children were divided into gram-negative bacteria group(70 cases)and gram-positive bacteria group(28 cases).Another according to the patient's short-term curative effect,the chil-dren will be divided into good curative effect group(68 cases)and poor curative effect group(30 cases).A to-tal of 30 healthy children who underwent physical examinations in the same hospital during the same period were selected as the control group.Serum levels of sCD14-ST,C-reactive protein(CRP)and procalcitonin(PCT)were measured and compared in each group.Pearson correlation was used to analyze the correlation be-tween serum sCD14-ST level and CRP and PCT in children with bacterial pneumonia.Receiver operating char-acteristic(ROC)curve was used to analyze the value of serum sCD14-ST,CRP and PCT levels on the disease outcome of children with bacterial pneumonia.Results The levels of CRP,PCT and sCD14-ST in bacterial pneumonia group were higher than those in control group(P<0.05).The serum levels of CRP,PCT and sCD14-ST in the Gram-negative bacteria group were higher than those in the Gram-positive bacteria group(P<0.05).The levels of serum CRP,PCT and sCD14-ST in the good curative effect group were lower than those in the poor curative effect group(P<0.05).Pearson correlation analysis showed that the serum sCD14-ST level was positively correlated with CRP and PCT in children with bacterial pneumonia(r=0.498,0.526,P<0.05).ROC analysis showed that the area under the curve of serum sCD14-ST,CRP,and PCT in predic-ting the outcome of bacterial pneumonia in children was 0.867(95%CI 0.785-0.950),0.759(95%CI 0.653-0.865),and 0.847(95%CI 0.759-0.935),respectively.Conclusion The serum sCD14-ST level is abnormally increased in children with bacterial pneumonia,and it is related to the type of pathogen infection and clinical outcome.The serum sCD14-ST level has a certain evaluation value for the outcome of pathogen in-fection pneumonia in children.
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Objective:To analyze the pathogens distribution, drug resistance and risk factors of bacterial infection in patients undergoing liver transplantation for liver failure.Methods:The retrospective case-control study was conducted. The clinical data of 88 patients with liver failure who underwent liver transplantation in The First Affiliated Hospital of Xi′an Jiaotong University from July 2020 to June 2023 were collected. There were 57 males and 31 females, aged (44±9)years. Observation indicators:(1) incidence and pathogens distribution of bacterial infection in patients undergoing liver transplantation for liver failure; (2) drug resistance of bacteria; (3) risk factors of bacterial infection in patients undergoing liver transplantation for liver failure. Measurement data with normal distribution were represented as Mean± SD. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers and percentages. Univariate analysis was conducted using the chi-square test or Fisher exact probability. Multivariate analysis was conducted using the Logistic regression model. Results:(1) Incidence and pathogens distribution of bacterial infection in patients undergoing liver transplantation for liver failure. Of 88 patients, 40 cases had bacterial infection after liver transplantation, with the incidence as 45.45% and occurrence time as postoperative 18(range, 1-57)days. Of the 40 cases with bacterial infection after liver transplantation, 9 cases had single strain infection and 31 cases had mixed bacterial infection. A total of 135 strains of different pathogenic bacteria were isolated from 40 patients, 106 of which were Gram-negative bacteria, 29 were Gram-positive bacteria. Of the Gram-negative bacteria, the top 4 pathogenic bacteria were 37 strains of Acinetobacter baumannii, 35 strains of Klebsiella pneumoniae, 11 strains of Pseudomonas aeruginosa, 9 strains of Stenotrophomonas maltophilia. Of the Gram-positive bacteria, there were 22 strains of Enterococcus faecium, 3 strains of Staphylococcus aureus, 3 strains of Staphylococcus epidermidis, 1 strain of Staphylococcus haemolyticus. Of the 135 strains of pathogenic bacteria, 64 strains were isolated from respiratory tract, 26 strains were from abdomen, 23 strains were from biliary tract, 16 strains were from blood, 6 strains were from other sites. (2) Drug resistance of bacteria. Of the Gram-negative bacteria, Acinetobacter baumannii had a resistance rate of lower than 30.0% to colistin, tigacyclinei, minocycline, a resistance rate of 30.0%-50.0% to amikacin and tobramycin, a resistance rate of over 70.0% to cefotetan, ceftazidime, cefepime, cefoperazone/sulbactam, piperacillin/tazobactam, meropenem, imipenem, ciprofloxacin, cotrimoxazole, levofloxacin. Klebsiella pneumoniae showed a resistance rate of lower than 30.0% to ceftazidime/avibactam, colistin, tigacyclinei and a resistance rate of more than 70.0% to other tested antibiotics. Pseudomonas aeruginosa showed a resistance rate of more than 50.0% to meropenem, imipenem, levofloxacin and a resistance rate of lower than 50.0% to other tested antibiotics. Stenotrophomonas maltophilia showed a resistance rate of lower than 30.0% to cotrimoxazole, levofloxacin, minocycline. Klebsiella oxytoca showed a resistance rate of more than 50.0% to piperacillin/tazobactam, cefoperazone/sulbactam and a resistance rate of lower than 50.0% to other tested antibiotics. The resistance rate of Escherichia coli to amikacin, tobramycin, ceftazidime/avibactam, colistin, and tigecycline was less than 30.0%, and the resistance rate to other tested antibiotics was more than 50.0%. Of the Gram-positive bacteria, Staphylococcus aureus showed a resistance rate of 0 to tigacyclinei, vancomycin, teicoplanin, linezolid, a resistance rate of lower than 50.0% to gentamicin and ciprofloxacin, and a resistance rate of more than 50.0% to erythromycin, penicillin G, ampicillin, tetracycline, levofloxacin. Staphylococcus showed a resistance rate of more than 50.0% to erythromycin, penicillin G, oxacillin, and a resistance rate of 0 to other tested antibiotics. (3) Risk factors of bacterial infection in patients undergoing liver transplantation for liver failure. Results of multivariate analysis showed that preoperative model for end-stage liver disease score ≥30 was an independent risk factor for bacterial infection in patients undergoing liver transplantation for liver failure ( odds ratio=6.440, 95% confidence interval as 2.155-19.248, P<0.05). Conclusions:The incidence of bacterial infection in patients undergoing liver transplantation for liver failure is high, with the most common sites of respiratory tract and abdomen. The pathogenic bacteria are mainly Gram-negative bacteria, which show an extensive and high drug resistance. Preoperative model for end-stage liver disease score ≥30 was an independent risk factor for bacterial infection in patients undergoing liver transplantation for liver failure.
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Objective:To investigate the pathogen distribution and influencing factors for pulmonary infection after radical resection of esophageal cancer.Methods:The retrospective case-control study was conducted. The clinical data of 555 patients who underwent radical resection of esophageal cancer in Heping Hospital Affiliated to Changzhi Medical College from January 2021 to December 2022 were collected. There were 344 males and 211 females, aged (64±8)years. Obser-vation indicators: (1) incidence of postoperative pulmonary infection and pathogen distribution; (2) analysis of influencing factors for postoperative pulmonary infection. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. The comparisons of ordinal data were analyzed using the nonparametric test. Univariate analysis was performed using the corresponding statistical methods based on data type. Multivariate analysis was performed using the Logistic stepwise regre-ssion model advance method. Results:(1) Incidence of postoperative pulmonary infection and pathogen distribution. Among 555 patients, 91 cases had postoperative pulmonary infection, with the incidence as 16.40%(91/555). In 91 patients with postoperative pulmonary infection, 59 strains of bacteria were isolated and cultured. There were 53 strains of gram-negative bacteria, 3 strains of gram-positive bacteria and 3 strains of fungi, including 20 multidrug-resistant bacteria. Among the 53 strains of gram-negative bacteria, there were 18 strains of Acinetobacter baumannii (12 strains were multidrug resistant), 18 strains of Klebsiella pneumoniae (3 strains were multidrug resistant), 6 strains of Pseudomonas aeruginosa (2 strains were multidrug resistant), 2 strains of Escherichia coli, 2 strains of Enterobacter cloacae, and 2 strains of Haemophilus influenzae (2 strains of Escherichia coli and 1 strain of Enterobacter cloacae were multidrug resistant strains), 1 strain of Serratia marcescens, 1 strain of Citrobacter keri, 1 strain of Corynebacterium striatum, 1 strain of Proteus mirabilis and 1 strain of Klebsiella acidogenes. Among the 3 strains of Gram-positive bacteria, there were 2 strains of Staphylococcus aureus and 1 strain of Streptococcus pneumoniae. All the three strains of fungi were Candida albicans. Among the 18 strains of Acinetobacter baumannii, there were 12, 12, 11, 9, 8, 6 and 5 strains resistant to imipenem, ceftriaxone, ceftazidme, cefoperazone or sulbactam, ciprofloxacin, amicacin and levofloxacin, respectively. The above indexes of 18 strains of Klebsiella pneumoniae were 0, 1, 1, 1, 2, 0 and 2, respectively. (2) Analysis of influencing factors for postoperative pulmonary infection. Results of multivariate analysis showed that tumor pathological staging as stage Ⅱ and Ⅲ, duration of preoperative hospital stay ≥6 days, operation time ≥240 minutes, mode of operation as thoracotomy, type of antibiotics used in peri-operative period ≥3, and postoperative antibiotic use time ≥5 days were independent risk factors for postoperative pulmonary infection ( P<0.05). Conclusions:The main pathogenic bacteria of pulmonary infection after radical resection of esophageal cancer are Acinetobacter baumannii and Klebsiella pneumoniae. Tumor pathological staging as stage Ⅱ and Ⅲ, duration of preoperative hospital stay ≥6 days, operation time ≥240 minutes, mode of operation as thoracotomy, type of antibiotics used in perioperative period ≥3, and postoperative antibiotic use time ≥5 days are independent risk factors for pulmonary infection in patients with esophageal cancer after radical surgery.
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Aims@#The current study was aimed to evaluate the antibacterial activity of biogenic synthesized golden nanoparticles from Sophora flavescens Aiton roots aqueous extract against multidrug-resistant (MDR) clinical bacterial isolates.@*Methodology and results@#The green synthesis of gold nanoparticles (AuNPs) was accomplished using S. flavescens roots aqueous extract and examined using many accepted techniques. The antibacterial activity of S. flavescens extract and the aqueous AuNPs at concentrations (7% and 9%) ppm were investigated against two clinical MDR bacteria, including Gram-positive (Staphylococcus aureus) and Gram-negative bacteria (Pseudomonas aeruginosa). The findings demonstrate inhibitory activity against the selected MDR bacterial isolates for the aqueous extract of S. flavescens and the aqueous AuNPs noted by the significant decrease in the number of bacteria after treatment with highly significant differences (P≤0.01) compared to the untreated control.@*Conclusion, significance and impact of study@#Sophora flavescens root extracts and their biosynthesized AuNPs with antibacterial activity may find broad applications in fighting MDR pathogenic bacteria and therapeutic manufacturing.
Subject(s)
Anti-Bacterial Agents , Sophora flavescens摘要
Objective:To analyze the application value of metagenomic next-generation sequencing (mNGS) in the detection of pathogenic bacteria in brain abscesses.Methods:The data of patients with brain abscess in Tianjin Huanhu Hospital from January 2019 to December 2021 were retrospectively analyzed. All patients underwent stereotaxic abscess puncture and drainage. According to the different methods of pathogen detection, they were divided into bacterial culture group (bacterial culture only) and mNGS group (bacterial culture with mNGS). The clinical symptoms, abscess site, bacterial culture and mNGS results, antibiotic application protocol and prognosis of the patients were analyzed. The bacterial detection results of the two groups were analyzed, and the antibiotic application and prognosis were compared. χ 2 test, exact probability method and Mann Whitney test were used to compare the difference between the two groups. Results:A total of 43 patients with brain abscess were enrolled, including 21 cases in bacterial culture group and 22 cases in mNGS group. The positive rate of bacteria culture group was 42.9% (9/21), the positive rate of bacteria culture group was 45.5% (10/22), and the positive rate of mNGS detection was 100% (22/22). Only 3 cases in the bacterial culture group could have a clear bacterial source, while 17 cases in the mNGS group could have a clear bacterial source according to the bacterial results, showing a significant statistical difference between the two groups (χ 2=19.69, P<0.001). The return time of bacterial culture was 7.0 (4.0,7.0) days, and the average return time of mNGS was 1.5 (1.5,1.5) days, the difference of bacterial return time between the two groups was statistically significant ( Z=0.00, P<0.001). The cost of antibiotic use in bacterial culture group was 24.00 (5.60,31.00) thousands yuan, and the cost of antibiotic use in mNGS group was 12.00 (2.10, 20.00) thousands yuan, and there was significant statistical difference between them ( Z=5.22, P=0.026). Conclusions:MNGS can quickly and accurately identify the types and sources of brain abscess pathogens, guide the clinical application of antibiotics more targeted, reduce the cost of antibiotic use, and is an effective method for the detection of brain abscess pathogenic bacteria.