1.Research progress of circadian genes in the occurrence, development and chronotherapy of colorectal cancer
Haifeng ZHAN ; Zixuan TAN ; Wenxue WANG ; Jiawei GENG
Journal of International Oncology 2025;52(1):60-64
In recent years, studies have found that the abnormal expression of rhythm genes is closely related to the risk of occurrence and the progression of the disease course of colorectal cancer. In addition, chronotherapy based on the circadian rhythm theory has shown certain effects in the clinical treatment of colorectal cancer, but there are still great limitations. Therefore, it is very important to clarify the mechanism of action of rhythm genes in the occurrence and development of colorectal cancer, which may provide a theoretical basis for the clinical application of chronotherapy.
2.Risk factors for complications in neonates with early-onset group B Streptococcus sepsis
Qiuping SHEN ; Haifeng GENG ; Wenqiang SUN ; Zhixin WU ; Xueping ZHU
Chinese Journal of Perinatal Medicine 2025;28(5):381-388
Objective:To identify the risk factors and their predictive value for complications in neonates with early-onset group B streptococcus (GBS) sepsis. Methods:This case-control study retrospectively analyzed 96 neonates with early-onset GBS sepsis (age of onset<7 days) admitted to Children's Hospital of Soochow University between January 1, 2007, and December 31, 2022. Patients were categorized into complication ( n=36) and non-complication ( n=60) groups. Receiver operating characteristic (ROC) curves determined optimal cutoff values of Pediatric Sequential Organ Failure Assessment (pSOFA) and Pediatric Logistic Organ Dysfunction Score 2 (PELOD-2) for predicting complications in the neonates with early-onset GBS sepsis. Independent t-tests, Mann-Whitney U tests, Chi-square tests and Fishe exact tests were used for group comparison of general information, clinical manifestations, auxiliary examinations, and treatment during hospitalization. Multivariate logistic regression identified independent risk factors, and ROC curves evaluated their predictive performance for complications in the neonates with early-onset GBS sepsis. Results:ROC analysis identified pSOFA>4.5 scores and PELOD-2>5.5 scores as optimal thresholds for complication prediction in neonates with early-onset GBS sepsis. (1) The complication group exhibited higher rates of preterm birth [30.6% (11/36) vs. 5.0% (3/60), χ2=11.80], maternal clinical chorioamnionitis [25.0% (9/36) vs. 5.0% (3/60), χ2=6.50], prolonged rupture of membranes≥18 h [22.2% (8/36) vs. 5.0% (3/60), χ2=4.99], invasive mechanical ventilation [36.1% (13/36) vs. 13.3% (8/60), χ2=6.83], fever [22.2% (8/36) vs. 3.3% (2/60), χ2=6.70], lethargy [77.8% (28/36) vs. 51.7% (31/60), χ2=6.48], mottled skin as the initial clinical manifestation [38.9% (14/36) vs. 20.0% (12/60), χ2=4.07], leukopenia [44.4% (16/36) vs. 18.3% (11/60), χ2=7.59], hypoalbuminemia [27.8% (10/36) vs. 3.3% (2/60), χ2=10.16], pSOFA>4.5 [83.3% (30/36) vs. 35.0% (21/60), χ2=21.11], PELOD-2>5.5 [50.0% (18/36) vs. 5.0% (3/60), χ2=26.66], and dual-positive blood and cerebrospinal fluid cultures [25.0% (9/36) vs. 0.0% (0/60), Fisher exact test] compared to the non-complication group (all P<0.05). Serum creatinine [(88.4±17.7) vs. (61.9±17.7) μmol/L, t=-6.02], urea nitrogen [(3.7±0.4) vs. (3.4±0.6) mmol/L, t=-3.18], and lactate [(7.5±3.4) vs. (5.8±2.2) mmol/L, t=-2.80] were elevated, while fibrinogen [(2.2±1.1) vs. (2.7±1.0) g/L, t=2.03], pH (7.3±0.2 vs. 7.4±0.1, t=2.04), and albumin [(28.2±3.9) vs. (31.9±4.2) g/L, t=4.32] were reduced in the complication group (all P<0.05). (2) Multivariate analysis identified preterm birth ( OR=6.642, 95% CI: 1.210-36.473), along with hypoalbuminemia ( OR=8.202, 95% CI: 1.184-56.811), pSOFA>4.5 scores ( OR=5.284, 95% CI: 1.573-17.749), and PELOD-2>5.5 scores ( OR=8.464, 95% CI: 1.922-37.279) assessed on admission day 1 as independent risk factors (all P<0.05). The area under the curve for predicting complications in early-onset GBS sepsis neonates was 0.628 (95% CI: 0.523-0.724) for preterm birth, and 0.622 (95% CI: 0.517-0.719), 0.742 (95% CI: 0.642-0.826), and 0.725 (95% CI: 0.624-0.811) for hypoalbuminemia, pSOFA>4.5 scores, and PELOD-2>5.5 scores assessed on admission day 1, respectively. The combined predictive model integrating all four risk factors achieved the highest area under the curve of 0.868 (95% CI: 0.784-0.929). Conclusion:Preterm birth as well as hypoalbuminemia, pSOFA>4.5 scores, and PELOD-2>5.5 scores at admission are critical risk factors for complications in early-onset GBS sepsis, warranting heightened clinical vigilance.
3.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
4.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
5.The influence of two-way referral model on treatment and prognosis of patients with chronic heart failure
Yijun SUN ; Xinyu ZHANG ; Yue HU ; Zongwei LIN ; Jie XIAO ; Peng LI ; Xin ZHAO ; Huafang ZHANG ; Bo QIN ; Dequan JIA ; Tao ZHANG ; Jian MA ; Hongping CHEN ; Chunju ZHANG ; Xinwei GENG ; Kaiyan ZHANG ; Man ZHENG ; Fenglei ZHANG ; Yan LANG ; Hegong HOU ; Peng LIU ; Haifeng JIA ; Jianjun LU ; Kai ZHAO ; Hui ZHAO ; Jiechang XU ; Mi ZHANG ; Xiuxin LI ; Dongxia ZHANG ; Lin ZHONG ; Hui ZHAO ; Fangfang LIU ; Yan LIU ; Dongxia MIAO ; Chengwei WANG ; Hui ZHANG ; Chen WANG ; Fen WANG ; Xuejuan ZHANG ; Huixia LYU ; Xiaoping JI
Chinese Journal of Cardiology 2025;53(11):1244-1253
Objective:To explore the impact of the two-way referral model on compliance and prognosis in patients with heart failure.Methods:This bidirectional cohort study enrolled chronic heart failure (CHF) patients treated at Qilu Hospital of Shandong University or designated primary hospitals between March 2018 and March 2022. Patients were categorized into two groups based on referral status: two-way referral group (participating in the referral model with≥1 follow-up visit at primary hospitals) and the core hospital group (receiving treatment and follow-up exclusively at Qilu Hospital). Baseline clinical characteristics were collected and compared between groups. Patients underwent followed-up, with primary endpoints including follow-up rate, drug (β-blockers, angiotension converting enzyme inhibitor (ACEI)/angiotensin Ⅱ receptor blockers (ARB)/angiotensin receptor-neprilysin inhibitor (ARNI), sodium-glucose cotransporter 2 inhibitors and mineralocorticoid receptor antagonists) utilization rate and target dose achievement rate. Secondary endpoints encompassed changes from baseline in left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDd), and N-terminal pro-brain natriuretic peptide (NT-proBNP), plus cardiovascular mortality and heart failure rehospitalization. Generalized linear mixed models analyzed longitudinal trends in LVEF, LVEDd, and NT-proBNP levels. Kaplan-Meier curves and Cox regression evaluated LVEF recovery rates, supplemented by subgroup analyses. Multivariate logistic regression was used to identify factors influencing target dose achievement rate for β-blockers and ACEI/ARB/ARNI therapies in CHF patients.Results:A total of 357 patients were enrolled, aged 53 (41, 63) years, including 256 males (71.7%). 157 patients were in the two-way referral group and 200 patients in the core hospital-treated group. Compared with the core hospital-treated group, the two-way referral group had lower baseline LVEF (28 (22, 34)% vs. 31 (23, 36)%, P=0.021) and systolic blood pressure (116 (104, 125) mmHg vs. 121 (109, 134) mmHg (1 mmHg=0.133 kPa), P=0.010). The 12-month follow-up rate of the two-way referral group was higher than the core hospital-treated group (73.8% vs. 56.0%, P=0.004). No significant between-group differences were observed in drug utilization rate of β-blockers, ACEI/ARB/ARNI, or sodium-glucose cotransporter 2 inhibitors during follow-up (all P>0.05), while mineralocorticoid receptor antagonists use showed a declining trend in both groups. Although the core hospital-treated group had higher target dose achievement rates for β-blockers (65.4% vs. 49.3%, P=0.042) and ACEI/ARB/ARNI (79.8% vs. 65.8%, P=0.046) than the two-way referral group, multivariate logistic regression indicated that the two-way referral model was not a negative predictor for these outcomes (all P>0.05). Both groups showed improved NT-proBNP, LVEDd, and LVEF from baseline (all P<0.001) with no significant difference in trends between groups (all P>0.05). There was no significant difference in the composite incidence (7.6% vs. 6.5%, P=0.674) and cumulative incidence (log-rank P=0.684) of cardiovascular death and heart failure rehospitalization at 12 months between two groups. Conclusion:The two-way referral model demonstrates advantages in improving medication adherence, drug utilization rates, and targetdoseachievement rates among CHF patients. This model not only promotes cardiac functional recovery but also reduces risks of cardiovascular mortality and heart failure rehospitalization, achieving comparable therapeutic and management outcomes to those observed in core hospital-treated patients.
6.Clinical manifestations and drug resistance analysis of 36 neonates with enterobacter sepsis
Yan YANG ; Haifeng GENG ; Shenglin YU ; Xueping ZHU
Journal of Chinese Physician 2025;27(10):1468-1472
Objective:To summarize and analyze the clinical characteristics, drug resistance and treatment of 36 neonates with Enterobacter sepsis in the Children′s Hospital of Soochow University in the past 3 years, so as to provide reference for clinical treatment.Methods:A retrospective analysis was conducted on neonates hospitalized in the Department of Neonatology of the Children′s Hospital of Soochow University from January 2021 to March 2024 who were diagnosed with Enterobacter sepsis. The birth status, clinical manifestations, blood culture drug sensitivity, treatment status and disease outcome of the neonates were analyzed.Results:A total of 36 neonates with Enterobacter sepsis were collected. Premature infants accounted for 38.9%(14/36), and late-onset cases accounted for 66.7%(24/36). The incidence of complications was high. The main complications were central nervous system infection (15/36, 41.7%), urinary system infection (13/36, 36.1%) and neonatal necrotizing enterocolitis (7/36, 19.4%). The main pathogenic bacteria were Escherichia coli (19 cases) and Klebsiella (11 cases). Among the 19 escherichia coli strains, 7 were extended-spectrum β-lactamase (ESBL)-producing strains and 1 was carbapenem-resistant enterobacteriaceae (CRE) strain. Among the 11 Klebsiella strains, 9 were ESBL-producing strains and 6 were CRE strains. The 6 neonates with CRE sepsis were treated with sensitive antibiotics such as meropenem, amikacin and ceftazidime-avibactam, and achieved good therapeutic effects.Conclusions:Escherichia coli and Klebsiella are the main pathogens of Enterobacter sepsis in neonates, especially premature infants, with high incidence of complications and high drug resistance rate.
7.Clinical manifestations and drug resistance analysis of 36 neonates with enterobacter sepsis
Yan YANG ; Haifeng GENG ; Shenglin YU ; Xueping ZHU
Journal of Chinese Physician 2025;27(10):1468-1472
Objective:To summarize and analyze the clinical characteristics, drug resistance and treatment of 36 neonates with Enterobacter sepsis in the Children′s Hospital of Soochow University in the past 3 years, so as to provide reference for clinical treatment.Methods:A retrospective analysis was conducted on neonates hospitalized in the Department of Neonatology of the Children′s Hospital of Soochow University from January 2021 to March 2024 who were diagnosed with Enterobacter sepsis. The birth status, clinical manifestations, blood culture drug sensitivity, treatment status and disease outcome of the neonates were analyzed.Results:A total of 36 neonates with Enterobacter sepsis were collected. Premature infants accounted for 38.9%(14/36), and late-onset cases accounted for 66.7%(24/36). The incidence of complications was high. The main complications were central nervous system infection (15/36, 41.7%), urinary system infection (13/36, 36.1%) and neonatal necrotizing enterocolitis (7/36, 19.4%). The main pathogenic bacteria were Escherichia coli (19 cases) and Klebsiella (11 cases). Among the 19 escherichia coli strains, 7 were extended-spectrum β-lactamase (ESBL)-producing strains and 1 was carbapenem-resistant enterobacteriaceae (CRE) strain. Among the 11 Klebsiella strains, 9 were ESBL-producing strains and 6 were CRE strains. The 6 neonates with CRE sepsis were treated with sensitive antibiotics such as meropenem, amikacin and ceftazidime-avibactam, and achieved good therapeutic effects.Conclusions:Escherichia coli and Klebsiella are the main pathogens of Enterobacter sepsis in neonates, especially premature infants, with high incidence of complications and high drug resistance rate.
8.Risk factors for complications in neonates with early-onset group B Streptococcus sepsis
Qiuping SHEN ; Haifeng GENG ; Wenqiang SUN ; Zhixin WU ; Xueping ZHU
Chinese Journal of Perinatal Medicine 2025;28(5):381-388
Objective:To identify the risk factors and their predictive value for complications in neonates with early-onset group B streptococcus (GBS) sepsis. Methods:This case-control study retrospectively analyzed 96 neonates with early-onset GBS sepsis (age of onset<7 days) admitted to Children's Hospital of Soochow University between January 1, 2007, and December 31, 2022. Patients were categorized into complication ( n=36) and non-complication ( n=60) groups. Receiver operating characteristic (ROC) curves determined optimal cutoff values of Pediatric Sequential Organ Failure Assessment (pSOFA) and Pediatric Logistic Organ Dysfunction Score 2 (PELOD-2) for predicting complications in the neonates with early-onset GBS sepsis. Independent t-tests, Mann-Whitney U tests, Chi-square tests and Fishe exact tests were used for group comparison of general information, clinical manifestations, auxiliary examinations, and treatment during hospitalization. Multivariate logistic regression identified independent risk factors, and ROC curves evaluated their predictive performance for complications in the neonates with early-onset GBS sepsis. Results:ROC analysis identified pSOFA>4.5 scores and PELOD-2>5.5 scores as optimal thresholds for complication prediction in neonates with early-onset GBS sepsis. (1) The complication group exhibited higher rates of preterm birth [30.6% (11/36) vs. 5.0% (3/60), χ2=11.80], maternal clinical chorioamnionitis [25.0% (9/36) vs. 5.0% (3/60), χ2=6.50], prolonged rupture of membranes≥18 h [22.2% (8/36) vs. 5.0% (3/60), χ2=4.99], invasive mechanical ventilation [36.1% (13/36) vs. 13.3% (8/60), χ2=6.83], fever [22.2% (8/36) vs. 3.3% (2/60), χ2=6.70], lethargy [77.8% (28/36) vs. 51.7% (31/60), χ2=6.48], mottled skin as the initial clinical manifestation [38.9% (14/36) vs. 20.0% (12/60), χ2=4.07], leukopenia [44.4% (16/36) vs. 18.3% (11/60), χ2=7.59], hypoalbuminemia [27.8% (10/36) vs. 3.3% (2/60), χ2=10.16], pSOFA>4.5 [83.3% (30/36) vs. 35.0% (21/60), χ2=21.11], PELOD-2>5.5 [50.0% (18/36) vs. 5.0% (3/60), χ2=26.66], and dual-positive blood and cerebrospinal fluid cultures [25.0% (9/36) vs. 0.0% (0/60), Fisher exact test] compared to the non-complication group (all P<0.05). Serum creatinine [(88.4±17.7) vs. (61.9±17.7) μmol/L, t=-6.02], urea nitrogen [(3.7±0.4) vs. (3.4±0.6) mmol/L, t=-3.18], and lactate [(7.5±3.4) vs. (5.8±2.2) mmol/L, t=-2.80] were elevated, while fibrinogen [(2.2±1.1) vs. (2.7±1.0) g/L, t=2.03], pH (7.3±0.2 vs. 7.4±0.1, t=2.04), and albumin [(28.2±3.9) vs. (31.9±4.2) g/L, t=4.32] were reduced in the complication group (all P<0.05). (2) Multivariate analysis identified preterm birth ( OR=6.642, 95% CI: 1.210-36.473), along with hypoalbuminemia ( OR=8.202, 95% CI: 1.184-56.811), pSOFA>4.5 scores ( OR=5.284, 95% CI: 1.573-17.749), and PELOD-2>5.5 scores ( OR=8.464, 95% CI: 1.922-37.279) assessed on admission day 1 as independent risk factors (all P<0.05). The area under the curve for predicting complications in early-onset GBS sepsis neonates was 0.628 (95% CI: 0.523-0.724) for preterm birth, and 0.622 (95% CI: 0.517-0.719), 0.742 (95% CI: 0.642-0.826), and 0.725 (95% CI: 0.624-0.811) for hypoalbuminemia, pSOFA>4.5 scores, and PELOD-2>5.5 scores assessed on admission day 1, respectively. The combined predictive model integrating all four risk factors achieved the highest area under the curve of 0.868 (95% CI: 0.784-0.929). Conclusion:Preterm birth as well as hypoalbuminemia, pSOFA>4.5 scores, and PELOD-2>5.5 scores at admission are critical risk factors for complications in early-onset GBS sepsis, warranting heightened clinical vigilance.
9.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
10.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

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