1.Clinical and Laboratory Characteristics of Streptococcus mitis Causing Bloodstream Infection in Children with Hematological Disease.
Yu-Long FAN ; Guo-Qing ZHU ; Zhi-Ying TIAN ; Yan-Xia LYU ; Zhao WANG ; Ye GUO ; Wen-Yu YANG ; Qing-Song LIN ; Xiao-Juan CHEN
Journal of Experimental Hematology 2025;33(1):286-291
OBJECTIVE:
To investigate the risk factors, clinical characteristics, and bacterial resistance of bloodstream infections caused by Streptococcus mitis in children with hematological disease, so as to provide a reference for infection control.
METHODS:
The clinical information and laboratory findings of pediatric patients complicated with blood cultures positive for Streptococcus mitis from January 2018 to December 2020 in the Institute of Hematology & Blood Diseases Hospital were searched and collected. The clinical characteristics, susceptibility factors, and antibiotic resistance of the children were retrospectively analyzed.
RESULTS:
Data analysis from 2018 to 2020 showed that the proportion of Streptococcus mitis isolated from bloodstream infections in children (≤14 years old) with hematological diseases was the highest (19.91%) and significantly higher than other bacteria, accounting for 38.64% of Gram-positive cocci, and presented as an increasing trend year by year. A total of 427 children tested positive blood cultures, including 85 children with bloodstream infections caused by Streptococcus mitis who tested after fever. Most children experienced a recurrent high fever in the early and middle stages (≤6 d) of neutropenia and persistent fever for more than 3 days. After adjusting the antibiotics according to the preliminary drug susceptibility results, the body temperature of most children (63.5%) returned to normal within 4 days. The 85 children were mainly diagnosed with acute myeloid leukemia (AML), accounting for 84.7%. The proportion of children in the neutropenia stage was 97.7%. The incidence of oral mucosal damage, lung infection, and gastrointestinal injury symptoms was 40%, 31.8%, and 27.1%, respectively. The ratio of elevated C-reactive protein (CRP) and procalcitonin was 65.9% and 9.4%, respectively. All isolated strains of Streptococcus mitis were not resistant to vancomycin and linezolid, and the resistance rate to penicillin, cefotaxime, levofloxacin, and quinupristin-dalfopristin was 10.6%, 8.2%, 9.4%, and 14.1%, respectively. None of children died due to bloodstream infection caused by Streptococcus mitis.
CONCLUSION
The infection rate of Streptococcus mitis is increasing year by year in children with hematological diseases, especially in children with AML. Among them, neutropenia and oral mucosal damage after chemotherapy are high-risk infection factors. The common clinical symptoms include persistent high fever, oral mucosal damage, and elevated CRP. Penicillin and cephalosporins have good sensitivity. Linezolid, as a highly sensitive antibiotic, can effectively control infection and shorten the course of disease.
Humans
;
Child
;
Streptococcal Infections/microbiology*
;
Retrospective Studies
;
Hematologic Diseases/complications*
;
Streptococcus mitis
;
Drug Resistance, Bacterial
;
Risk Factors
;
Microbial Sensitivity Tests
;
Anti-Bacterial Agents
;
Female
;
Male
;
Bacteremia/microbiology*
;
Child, Preschool
;
Adolescent
2.Practice guideline on the prevention and treatment of central line associated bloodstream infection in 2025.
CHINESE SOCIETY OF CRITICAL CARE MEDICINE
Chinese Critical Care Medicine 2025;37(3):193-220
Central line associated bloodstream infection (CLABSI) is the most severe complication of indwelling intravascular catheters and one of the most common causes of intensive care unit (ICU)- or hospital-acquired infections. Once CLABSI occurs, it significantly increases the risk of mortality, long of hospital stay, and healthcare economic burden. In recent years, multiple large-scale clinical studies on the diagnosis, treatment, and prevention of CLABSI have been completed, providing evidence-based medical support for related practices. Additionally, evolving global trends in antibiotic resistance epidemiology and the development of novel antimicrobial agents necessitate adjustments in clinical management strategies. Based on these developments, the Chinese Society of Critical Care Medicine has updated and revised the Guideline on the Prevention and Treatment of Intravascular Catheter-Related Infections (2007). This guideline was developed following the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system for evidence quality assessment. Guided by clinical questions, the working group initiated the process by defining key clinical issues, conducting literature searches, screening studies, performing meta-analyses, and synthesizing evidence-based findings to draft preliminary recommendations. These recommendations underwent iterative revisions through expert panel reviews, remote and in-person meetings, and two rounds of voting by the Standing Committee of the Chinese Society of Critical Care Medicine before finalization. The guideline comprises 52 recommendations, focusing on adult patients with central venous catheters in ICU. Key areas addressed include: selection of catheter insertion sites and techniques, catheter type and design, catheter management, prevention, diagnosis, and treatment of CLABSI. The guideline aims to provide ICU healthcare professionals with best practices for central line management, ensuring standardized clinical protocols for adult CLABSI.
Humans
;
Catheter-Related Infections/therapy*
;
Catheterization, Central Venous/adverse effects*
;
Bacteremia/therapy*
;
Intensive Care Units
;
Cross Infection/prevention & control*
3.Current analysis of bloodstream infections in adult intensive care unit patients: a multi-center cohort study of China.
Shuguang YANG ; Yao SUN ; Ting WANG ; Hua ZHANG ; Wei SUN ; Youzhong AN ; Huiying ZHAO
Chinese Critical Care Medicine 2025;37(3):232-236
OBJECTIVE:
To analyze the clinical characteristics, microbiological analysis, and drug resistance patterns of intensive care unit (ICU) bloodstream infection.
METHODS:
A prospective cohort study method was employed to collect clinical data from patients suspected of bloodstream infection (BSI) during their stay in ICUs across 67 hospitals in 16 provinces and cities nationwide, from July 1, 2021, to December 31, 2022. Electronic data collection technology was used to gather general information on ICU patients, including gender, age, length of hospital stay, as well as diagnostic results, laboratory tests, imaging studies, microbiological results (including smear, culture results, and pathogen high-throughput testing), and prognosis. Patients were divided into a BSI group and a non-BSI group based on the presence or absence of BSI; further, patients with BSI were categorized into a drug-resistant group and a non-drug-resistant group based on the presence or absence of drug resistance. Differences in the aforementioned indicators between groups were analyzed and compared; variables with P < 0.10 in the univariate analysis were included in a multivariate Logistic regression analysis to identify risk factors for mortality and drug resistance in ICU patients with BSI.
RESULTS:
A total of 2 962 ICU patients suspected of BSI participated in the study, including 790 in the BSI group and 2 172 in the non-BSI group. Patients in the BSI group were mainly from East China and Southwest China, with significantly higher age and mortality rates than those in the non-BSI group. Among ICU patients with BSI, Staphylococcus had the highest detection rate (8.10%), followed by Klebsiella pneumoniae (7.47%); there were 169 cases in the drug-resistant group and 621 cases in the non-drug-resistant group; 666 cases survived, and 124 cases died (mortality was 15.70%). There were statistically significant differences between the death group and the survival group in terms of age, regional distribution, and bloodstream infections caused by Gram negative (G-) bacilli, Enterococcus faecium, Aspergillus, and Klebsiella pneumoniae; multivariate Logistic regression analysis showed that age [odds ratio (OR) = 1.01, 95% confidence interval (95%CI) was 1.00-1.03], regional distribution (OR = 4.07, 95%CI was 1.02-1.34), Enterococcus faecium infection (OR = 3.64, 95%CI was 1.16-11.45), and Klebsiella pneumoniae infection (OR = 2.64,95%CI was 1.45-4.80) were independent risk factors for death in ICU patients with BSI (all P < 0.05). There were statistically significant differences between the drug-resistant group and the non-drug-resistant group in terms of age and bloodstream infections caused by Gram positive (G+) cocci and G- bacilli; multivariate Logistic regression analysis showed that age (OR = 1.01,95%CI was 1.00-1.03), G- bacilli infection (OR = 2.18, 95%CI was 1.33-3.59), Escherichia coli infection (OR = 0.28,95%CI was 0.09-0.84), and Enterococcus faecium infection (OR = 3.35, 95%CI was 1.06-10.58) were independent risk factors for drug resistance in ICU patients with BSI (all P < 0.05).
CONCLUSIONS
Bloodstream infections may increase the mortality of ICU patients. Older age, regional distribution, Enterococcus faecium infection and Klebsiella pneumoniae infection can increase the mortality rate of ICU patients with BSI; bloodstream infections caused by G- bacilli are prone to drug resistance, but have no significant impact on the mortality of ICU patients with BSI.
Adult
;
Humans
;
Bacteremia/microbiology*
;
China/epidemiology*
;
Cohort Studies
;
Cross Infection/microbiology*
;
Drug Resistance, Bacterial
;
Intensive Care Units/statistics & numerical data*
;
Prospective Studies
;
Risk Factors
;
Sepsis/microbiology*
4.Development and validation of a prediction model for bloodstream infection caused by carbapenem-resistant Klebsiella pneumoniae.
Shanshan JIN ; Fangqing ZHOU ; Dongpo WEI ; Jingjing ZHENG ; Changxing CHEN ; Ruilan WANG
Chinese Critical Care Medicine 2025;37(9):822-828
OBJECTIVE:
To develop and validate a predictive model for the risk of bloodstream infection (BSI) caused by carbapenem-resistant Klebsiella pneumoniae (CRKP).
METHODS:
A literature search was conducted in PubMed, Cochrane Library, and Embase databases from inception to July 2022 to identify studies reporting statistically significant risk factors for CRKP-BSI. Relative risks (RR) were extracted and pooled. Based on factor weights, a risk-scoring model was established. For external validation, hospitalized CRKP-infected patients from January 2016 to January 2022 at Shanghai First People's Hospital were included. Clinical data were used to calculate individual risk scores. The predictive accuracy was assessed using receiver operator characteristic curve (ROC curve). Patients were stratified into low-to-intermediate-risk and high-risk groups based on the optimal cut-off, and CRKP BSI incidence was compared between groups.
RESULTS:
The literatures related to the risk factors of CRKP-BSI published from database inception to July 2022 was retrieved and screened from PubMed, Cochrane Library, and Embase. Fourteen risk factors were included in the scoring model: cardiovascular disease, severe neutropenia or immunosuppression, intensive care unit (ICU) stay history, prior hospitalization, carbapenem exposure, aminoglycoside exposure, antifungal exposure, endotracheal intubation or tracheostomy, mechanical ventilation, hemodialysis, central venous catheter, indwelling urinary catheter, CRKP colonization, and Klebsiella pneumoniae positivity at non infection sites. The total score ranged from 0 to 173.5 points. In the validation cohort of 230 CRKP-infected patients, 41 developed CRKP BSI. The model yielded an area under the curve (AUC) of 0.783 (95%CI was 0.689-0.876). The optimal cut off was 81.25 points, with sensitivity of 75.6% and specificity of 81.0%. Based on this cut off, 163 patients were categorized as low-to-intermediate risk and 67 patients as high risk. The incidence of CRKP BSI in the high-risk group was significantly higher than in the low-to-intermediate-risk group [64.2% (43/67) vs. 4.9% (8/163); RR = 13.175 (95%CI was 5.920-29.319), P < 0.001].
CONCLUSIONS
The model, based on 14 routinely available clinical parameters, demonstrated good performance in predicting CRKP BSI risk and may assist clinicians in early identification of high risk patients.
Humans
;
Klebsiella pneumoniae/drug effects*
;
Klebsiella Infections/microbiology*
;
Carbapenems/pharmacology*
;
Risk Factors
;
Bacteremia/microbiology*
;
ROC Curve
;
Carbapenem-Resistant Enterobacteriaceae
5.A single-center retrospective study of pathogen distribution and antibiotic resistance of bloodstream infections in emergency department.
Yishu TANG ; Lihua CHEN ; Jie XIAO ; Kun YAN ; Jing QI ; Kefu ZHOU ; Huaizheng LIU
Journal of Central South University(Medical Sciences) 2024;49(11):1799-1807
OBJECTIVES:
Bloodstream infections in emergency patients have a high incidence, severe disease progression, and rapid deterioration. Early administration of appropriate antimicrobial agents is crucial for improving patient outcomes. This study aims to investigate the incidence, pathogen distribution, and antimicrobial resistance patterns of bloodstream infections in emergency patients, providing a reference for rational antibiotic use in clinical practice.
METHODS:
Medical records of patients diagnosed with bloodstream infections in the emergency department of a hospital in Hunan Province between January 2018 and October 2022 were retrospectively collected. Clinical characteristics of bloodstream infection patients were analyzed, and the distribution trends and antimicrobial susceptibility of clinical isolates were examined.
RESULTS:
During the study period, 2 215 blood culture samples were submitted from the emergency department, with a positivity rate of 13.27%. After excluding eight cases with missing data or suspected contamination, 286 patients with bloodstream infections were included, with community-acquired infections accounting for the majority (85.66%). The most common primary infection site was the urinary tract (24.48%), followed by respiratory tract infections (20.28%) and biliary and intra-abdominal infections (17.13%). The 30-day mortality rate of bloodstream infections was 16.08%. A total of 286 pathogens were isolated, including 181 (63.29%) Gram-negative bacteria, primarily Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa; 101 (35.31%) Gram-positive bacteria, mainly Staphylococcus aureus, Staphylococcus epidermidis, and Streptococcus pneumoniae; and only 4 (1.40%) fungal isolates. Antimicrobial susceptibility testing showed that the key Enterobacteriaceae strains exhibited resistance rates of 2.4% to carbapenems, 16.3% to piperacillin sodium and tazobactam sodium, and 15.3% to ceftazidime, with no detected resistance to tigecycline or polymyxins. The main non-fermentative bacteria showed resistance rates of 29.6% to piperacillin sodium and tazobactam sodium, 13.3% to cefoperazone sodium and sulbactam sodium, and 27.1% to quinolones. Among Gram-negative bacteria, multidrug-resistant strains accounted for 40.9% (74/181), with carbapenem-resistant Escherichia coli and Klebsiella pneumoniae detected in 5.4% (5/92) and 13.6% (6/44) of cases, respectively. No carbapenem-resistant Pseudomonas aeruginosa was identified. Among Gram-positive bacteria, resistance rates to penicillin G, rifampicin, and cefoxitin were 74.7%, 4.2%, and 50%, respectively, with only 3 cases of resistant to glycopeptide antibiotics.
CONCLUSIONS
Bloodstream infections in emergency patients are predominantly community-acquired, with Gram-negative bacteria being the most common pathogens. The isolated pathogens exhibited relatively low resistance rates to commonly used clinical antibiotics.
Retrospective Studies
;
Emergency Service, Hospital/statistics & numerical data*
;
Drug Resistance, Bacterial
;
Anti-Bacterial Agents/therapeutic use*
;
Incidence
;
Microbial Sensitivity Tests/statistics & numerical data*
;
Bacteremia/microbiology*
;
Community-Acquired Infections/microbiology*
;
Gram-Negative Bacteria/isolation & purification*
;
Blood Culture/statistics & numerical data*
;
Humans
;
Male
;
Female
;
Adolescent
;
Young Adult
;
Adult
;
Middle Aged
;
Aged
;
Aged, 80 and over
;
China/epidemiology*
6.Analysis of Clinical Features and Risk Factors for Oral Ulcers and Bloodstream Infection in Patients with Hematopoietic Stem Cell Transplantation.
Ke WU ; Li-Na GUAN ; Jie-Yong ZHANG ; Ran ZHANG ; Zhi-Lei BIAN ; Chong WANG ; Ding-Ming WAN ; Wei-Jie CAO
Journal of Experimental Hematology 2023;31(3):866-870
OBJECTIVE:
To investigate the risk factors of oral ulcers and bloodstream infection in patients with hematopoietic stem cell transplantation.
METHODS:
The clinical data of 401 hematopoietic stem cell transplant patients in the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2021 were retrospective analyzed, and the risk factors of oral ulcers and bloodstream infection statistical and analyzed.
RESULTS:
Among the 401 patients, the incidence of oral ulcers was 61.3% (246/401), and the incidence of bloodstream infection was 9.0% (36/401). A total of 40 strains of pathogenic bacteria were isolated from 36 patients, including 26 strains of Gram negative strains (65%), 13 strains of Gram positive strains (32.5%), and 1 strain of fungi (2.5%). Single-factor analysis showed that oral hygiene was associated with the occurrence of bloodstream infection, and the Multi-factor analysis showed that age ≥14 years old, disease diagnosis of leukemia, and allogeneic hematopoietic stem cell transplantation were risk factors for oral ulcers.
CONCLUSION
The incidence of oral ulcers in patients with hematopoietic stem cell transplantation is high. The age ≥14 years, disease diagnosis of leukemia, and allogeneic hematopoietic stem cell transplantation were risk factors for oral ulcers in patients, and oral hygiene was associated with the occurrence of bloodstream infection.
Humans
;
Adolescent
;
Retrospective Studies
;
Oral Ulcer/etiology*
;
Bacteremia/microbiology*
;
Hematopoietic Stem Cell Transplantation/adverse effects*
;
Sepsis
;
Risk Factors
;
Leukemia
7.Staphylococcus aureus bloodstream infection in a Chinese tertiary-care hospital: A single-center retrospective study.
Cheng ZHENG ; Qingqing CHEN ; Sijun PAN ; Yuanyuan LI ; Li ZHONG ; Xijiang ZHANG ; Wei CUI ; Ronghai LIN ; Gensheng ZHANG ; Shufang ZHANG
Chinese Medical Journal 2023;136(12):1503-1505
8.Application and Prospect of Nanopore Sequencing Technology in Etiological Diagnosis of Blood Stream Infection.
Wei GUO ; Shuai-Hua FAN ; Peng-Cheng DU ; Jun GUO
Acta Academiae Medicinae Sinicae 2023;45(2):317-321
Blood stream infection (BSI),a blood-borne disease caused by microorganisms such as bacteria,fungi,and viruses,can lead to bacteremia,sepsis,and infectious shock,posing a serious threat to human life and health.Identifying the pathogen is central to the precise treatment of BSI.Traditional blood culture is the gold standard for pathogen identification,while it has limitations in clinical practice due to the long time consumption,production of false negative results,etc.Nanopore sequencing,as a new generation of sequencing technology,can rapidly detect pathogens,drug resistance genes,and virulence genes for the optimization of clinical treatment.This paper reviews the current status of nanopore sequencing technology in the diagnosis of BSI.
Humans
;
Nanopore Sequencing
;
Sepsis/diagnosis*
;
Bacteremia/microbiology*
;
Bacteria
;
Blood Culture/methods*
9.Porphyromonas gingivalis bacteremia increases the permeability of the blood-brain barrier via the Mfsd2a/Caveolin-1 mediated transcytosis pathway.
Shuang LEI ; Jian LI ; Jingjun YU ; Fulong LI ; Yaping PAN ; Xu CHEN ; Chunliang MA ; Weidong ZHAO ; Xiaolin TANG
International Journal of Oral Science 2023;15(1):3-3
Bacteremia induced by periodontal infection is an important factor for periodontitis to threaten general health. P. gingivalis DNA/virulence factors have been found in the brain tissues from patients with Alzheimer's disease (AD). The blood-brain barrier (BBB) is essential for keeping toxic substances from entering brain tissues. However, the effect of P. gingivalis bacteremia on BBB permeability and its underlying mechanism remains unclear. In the present study, rats were injected by tail vein with P. gingivalis three times a week for eight weeks to induce bacteremia. An in vitro BBB model infected with P. gingivalis was also established. We found that the infiltration of Evans blue dye and Albumin protein deposition in the rat brain tissues were increased in the rat brain tissues with P. gingivalis bacteremia and P. gingivalis could pass through the in vitro BBB model. Caveolae were detected after P. gingivalis infection in BMECs both in vivo and in vitro. Caveolin-1 (Cav-1) expression was enhanced after P. gingivalis infection. Downregulation of Cav-1 rescued P. gingivalis-enhanced BMECs permeability. We further found P. gingivalis-gingipain could be colocalized with Cav-1 and the strong hydrogen bonding between Cav-1 and arg-specific-gingipain (RgpA) were detected. Moreover, P. gingivalis significantly inhibited the major facilitator superfamily domain containing 2a (Mfsd2a) expression. Mfsd2a overexpression reversed P. gingivalis-increased BMECs permeability and Cav-1 expression. These results revealed that Mfsd2a/Cav-1 mediated transcytosis is a key pathway governing BBB BMECs permeability induced by P. gingivalis, which may contribute to P. gingivalis/virulence factors entrance and the subsequent neurological impairments.
Animals
;
Rats
;
Bacteremia/metabolism*
;
Blood-Brain Barrier/microbiology*
;
Caveolin 1/metabolism*
;
Gingipain Cysteine Endopeptidases/metabolism*
;
Permeability
;
Porphyromonas gingivalis/pathogenicity*
;
Transcytosis
;
Virulence Factors/metabolism*
10.Epidemiology of Escherichia coli and Klebsiella pneumoniae bloodstream infections in a general hospital in Singapore: a retrospective cohort study.
Amarasinghe Arachchige Don Nalin SAMANDIKA SAPARAMADU ; Lasantha RATNAYAKE
Singapore medical journal 2023;64(11):700-706
Humans
;
Escherichia coli
;
Klebsiella pneumoniae
;
Retrospective Studies
;
Hospitals, General
;
Singapore/epidemiology*
;
Escherichia coli Infections/epidemiology*
;
Sepsis/drug therapy*
;
beta-Lactamases
;
Anti-Bacterial Agents/therapeutic use*
;
Bacteremia/drug therapy*
;
Microbial Sensitivity Tests

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