Back to Journals » Infection and Drug Resistance » Volume 18

Distribution and Antimicrobial Resistance Analysis of Blood Culture Isolates at a Chinese National Cardiovascular Regional Medical Center: A 7-Year Retrospective Study

Authors Wang Q ORCID logo, Wu F, Li T ORCID logo

Received 25 June 2025

Accepted for publication 18 August 2025

Published 22 August 2025 Volume 2025:18 Pages 4249—4262

DOI https://doi.org/10.2147/IDR.S545293

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Hazrat Bilal



Qian Wang, Fan Wu, Tao Li

Department of Medical Laboratory, Fuwai Central China Cardiovascular Hospital/Central China Fuwai Hospital of Zhengzhou University/Henan Provincial People’s Hospital, Zhengzhou, Henan, 451464, People’s Republic of China

Correspondence: Tao Li, Department of Medical Laboratory, Fuwai Central China Cardiovascular Hospital/Central China Fuwai Hospital of Zhengzhou University/Henan Provincial People’s Hospital, Zhengzhou, Henan, 451464, People’s Republic of China, Email [email protected]

Purpose: This study aimed to characterize the epidemiological patterns and antimicrobial resistance profiles of bloodstream infections (BSIs) in a cardiovascular specialty hospital and to identify region-specific pathogen distributions, resistance risks, and clinical implications for optimizing empirical therapy and infection control strategies.
Patients and Methods: A retrospective analysis (2018– 2024) evaluated 1,055 non-duplicate BSI isolates from 37,576 blood cultures at the Fuwai Central China Cardiovascular Hospital. Researchers investigated both bacterial classification and associated drug resistance through comprehensive analysis.
Results: The study revealed that a total of 1,055 bacterial strains were isolated from blood cultures, with Gram-negative bacteria accounting for 31.5% (332 strains), Gram-positive bacteria for 62.7% (662 strains), and fungi for 5.8% (61 strains). The most frequently isolated pathogens were Staphylococcus epidermidis (13.7%), Staphylococcus hominis (8.0%), Klebsiella pneumoniae (7.4%), Escherichia coli (7.1%), and Staphylococcus haemolyticus (6.7%). These pathogens were predominantly isolated from intensive care units (ICUs), with the Coronary Heart Disease ICU (24.7%), General ICU (18.0%), and Adult Cardiac Surgery ICU (8.1%) representing the top three departments for bacterial detection. Among Staphylococcus isolates, methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococci (MRCNS) were identified at rates of 51.6% and 88.7%, respectively. The carbapenem resistance rates of K. pneumoniae and E. coli were 28.8% and 4.0%, respectively. Non-fermenting Gram-negative bacilli, such as Acinetobacter baumannii, showed alarming resistance rates to carbapenems (60.0%) and other β-lactams (≥ 52%), while Burkholderia cepacia and Stenotrophomonas maltophilia remained highly susceptible to first-line agents.
Conclusion: Blood culture isolates in our hospital demonstrated a predominance of Gram-positive organisms, with high detection rates of MRSA, MRCNS, and carbapenem-resistant Gram-negative bacilli. Continuous antimicrobial resistance surveillance of bloodstream isolates should be maintained in clinical practice to provide evidence-based data for rational antibiotic use and mitigate the emergence of resistant pathogens.

Keywords: bloodstream infections, antimicrobial resistance, multidrug-resistant organisms, antibacterial drugs

Introduction

Bloodstream infections (BSIs) represent a major cause of morbidity and mortality in both hospital and community settings. The escalating global burden of BSIs is driven by an aging population and an increasing prevalence of comorbidities, including malignancies, end-organ diseases, and diabetes mellitus. Furthermore, the rise in global antimicrobial resistance (AMR) contributes to a higher rate of inappropriate empirical therapy, resulting in increased overall mortality.1,2 The causative pathogens of BSIs and the AMR profiles exhibit substantial variations across different countries. Coagulase-negative Staphylococci (CoNS) are the most frequently isolated organisms causing BSIs in hospitalized children in the United States.3 Surveillance data on antibiotic resistance from South Korea, Switzerland, and Europe indicate that Escherichia coli and Staphylococcus aureus are the predominant BSI pathogens.4–6 In China, the spectrum of pathogens responsible for BSIs varies considerably by region. A study investigating the clinical characteristics of BSIs in hospitals in Northern China identified Gram-positive cocci as the most common causative agents,7 while in Hunan Province, Southern China, E. coli was the predominant BSI pathogen.8 Recent years have witnessed a significant surge in multidrug-resistant organism (MDRO) prevalence, driven by escalating use of broad-spectrum antimicrobials and invasive medical interventions.9 Cardiovascular patients face heightened BSI risks due to their immunocompromised status and frequent exposure to interventional procedures. This retrospective study (2018–2024) analyzed blood culture-positive specimens at Fuwai Central China Cardiovascular Hospital to delineate pathogen distribution, antimicrobial resistance patterns, and temporal resistance trends within this specialized cohort. The findings aim to establish population-specific microbiological characteristics, elucidate dynamic resistance mechanisms, and inform optimized antimicrobial stewardship protocols, along with tailored infection control strategies for cardiovascular care facilities.

Materials and Methods

Data Collection

Fuwai Central China Cardiovascular Hospital, a public Tier-3 Grade-A hospital specializing in cardiovascular disease diagnosis and treatment, was officially inaugurated on December 16, 2017. It is one of China’s first pilot National Regional Medical Centers. This study retrospectively analyzed clinically significant bacterial strains isolated from blood cultures of outpatients and inpatients at Fuwai Central China Cardiovascular Hospital between January 1, 2018, and December 31, 2024. Duplicate isolates from the same patient were excluded according to established laboratory protocols. The dataset encompassed critical clinical parameters including blood culture collection dates, microbial identification results, antimicrobial susceptibility testing (AST) profiles, patient demographics (age and sex), and clinical care locations (hospital wards).

Pathogen Identification and Antimicrobial Susceptibility Testing

Blood samples were collected from adult patients using commercially available BACTEC culture bottles (Becton Dickinson, USA), with a combination of aerobic and anaerobic bottles, whereas pediatric patients were sampled using aerobic bottles only, with blood volumes of approximately 8–10 mL and 2–5 mL per bottle, respectively. A BD BACTEC™ FX automated blood culture system with matching culture bottles was used for microbial detection. Bacterial identification and antimicrobial susceptibility testing were performed using the BD Phoenix M50 automated system, whereas fungal identification was performed using the DL-96FUNGUS assay. Antimicrobial susceptibility testing followed the latest Clinical & Laboratory Standards Institute (CLSI) guidelines,10 supplemented by the disk diffusion method (OXOID, UK) for specific antimicrobials, and was verified with E-test strips (Zhejiang Wenzhou Kangtai Biotechnology Co., Ltd). The BD Phoenix M50 system uses dedicated susceptibility panels. Species-specific media was applied to different pathogens: Mueller–Hinton (MH) agar (Zhengzhou Antu Bioengineering Co., Ltd.) for Moraxella catarrhalis, 5% defibrinated sheep blood-supplemented MH agar for Streptococcus pneumoniae susceptibility confirmation, and Haemophilus Test Medium (HTM) for Haemophilus influenzae. Interpretive criteria followed the latest CLSI M100 guidelines,10 with the European Committee on Antimicrobial Susceptibility Testing (EUCAST) breakpoints applied to selected antimicrobials.11 Tigecycline and colistin susceptibility was assessed according to the Chinese Expert Consensus on Polymyxins, Tigecycline and Ceftazidime/Avibactam Susceptibility Testing.12 Quality control strains included E. coli ATCC 25922 and ATCC 35218, Pseudomonas aeruginosa ATCC 27853, Enterococcus faecalis ATCC 29212, S. aureus ATCC 25923 and ATCC 29213, S. pneumoniae ATCC 49619, and H. influenzae ATCC 49247, ensuring standardized testing procedures throughout the study.

Statistical Analysis

The data were subjected to descriptive epidemiological analysis, with numerical data processed and analyzed using SPSS 22.0 and GraphPad Prism software (version 10.0). Statistical analysis was performed using the χ²-test, with a p < 0.05 considered statistically significant. The distribution of bacterial species and antimicrobial susceptibility data of isolated pathogens were statistically analyzed using WHONET 5.6 software.

Results

Distribution of Isolated Pathogenic Bacteria

From 2018 to 2024, 37,576 blood culture specimens were collected at the Fuwai Central China Cardiovascular Hospital. After excluding duplicate strains from the same patient, 1,055 positive isolates were identified (positivity rate: 2.8%), all of which were isolated from hospitalized patients. Among these positive cultures, 714 (67.7%) and 341 (32.3%) strains were isolated from the male and female patients, respectively. The blood culture positivity rate was significantly higher in the ≥60-year-old group (47.9%, p < 0.05) than that in the 0–17-year and 18–59-year groups (9.7% and 42.5%, respectively). General patient characteristics are summarized in Figure 1.

Figure 1 Baseline Data of Patients. (A) Gender; (B) Age.

Of the positive isolates, 332 (31.5%) were Gram-negative bacteria. The top five pathogens were Klebsiella pneumoniae (78 isolates, 23%), E. coli (75, 23%), Enterobacter cloacae (31, 9%), Acinetobacter baumannii (25, 8%), and Burkholderia cepacia (21, 6%). Gram-positive bacteria accounted for 662 isolates (62.7%), predominantly S. epidermidis (144, 23%), S. hominis (84, 13%), S. haemolyticus (71, 11%), S. aureus (54, 9%), and E. faecium (36, 6%). Fungal pathogens comprised 61 isolates (5.8%), primarily Candida albicans (38%) and C. glabrata (21%). Over the seven-year study period, the top ten isolated pathogens were S. epidermidis, S. hominis, K. pneumoniae, E. coli, S. haemolyticus, S. aureus, E. faecium, E. cloacae, S. capitis, and A. baumannii. The detailed distributions are listed in Table 1.

Table 1 The Types and Composition of the Main Pathogenic Bacteria with Positive Blood Cultures from 2018 to 2024

Department Distributions

The top five departments with pathogens isolated from blood cultures were the coronary heart disease ICU, general ICU, adult cardiac surgery ICU, pediatric cardiac center ICU, and adult cardiac surgery ward III, accounting for 24.74, 18.01, 8.06, 6.54, and 4.64%, respectively. The coronary heart disease ICU demonstrated a significantly higher blood culture positivity rate than the other wards (p < 0.05). The distribution of clinical bacterial isolation departments is shown in Figure 2. The distribution of the pathogen species isolated from each department is presented in Table 2.

Table 2 Distribution of Bacterial Sources in Blood Culture and Isolation Departments

Figure 2 Distribution of clinical isolation bacterial departments.

Abbreviation: ICU, intensive care unit.

Antibiotic Resistance Characteristics of Enterobacterales

Among the carbapenems, the resistance rates of K. pneumoniae, E. coli, E. cloacae, Serratia marcescens, and K. oxytoca were 28.8, 4.0, 41.9, 0.0, and 0.0%, respectively. The tigecycline resistance rates were 1.3% for K. pneumoniae and 3.2% for E. cloacae, whereas no resistance (0%) was observed in E. coli, S. marcescens, and K. oxytoca. Resistance to colistin B was detected in 1.5% of K. pneumoniae and E. coli isolates, whereas E. cloacae and K. oxytoca exhibited full susceptibility (0% resistance). Resistance rates to β-lactam/β-lactamase inhibitor combinations, fourth-generation cephalosporins, aminoglycosides, and fluoroquinolones vary across Enterobacterales species. Detailed data are presented in Table 3.

Table 3 The Resistance Rate of Enterobacterales to Antimicrobial Agents

Antibiotic Resistance Characteristics of Non-Fermentative Gram-Negative Bacteria

Among the 25 A. baumannii isolates, the resistance rates to β-lactams, β-lactam/β-lactamase inhibitor combinations, aminoglycosides, and fluoroquinolones were ≥52%, with carbapenem resistance observed in 60% of isolates. No tigecycline or polymyxin B resistance was observed. For 21 B. cepacia isolates, the resistance rates to ceftazidime, levofloxacin, trimethoprim-sulfamethoxazole, and minocycline were <10%, whereas meropenem resistance reached 16.7%. Of 17 P. aeruginosa isolates, carbapenem resistance was observed in 31.2% of the 17 P. aeruginosa isolates, whereas susceptibility to ceftazidime, piperacillin, piperacillin/tazobactam, cefoperazone/sulbactam, and cefepime remained high (a resistance rate of ≤7.1%). All 11 S. maltophilia isolates showed complete susceptibility, with 0% resistance to levofloxacin, trimethoprim-sulfamethoxazole, minocycline, and chloramphenicol. Detailed data are presented in Table 4.

Table 4 The Resistance Rate of Non-Fermentative Gram-Negative Bacilli to Antimicrobial Agents

Antibiotic Resistance Characteristics of Staphylococcus

A total of 54 S. aureus, 144 S. epidermidis, and 210 CoNS isolates were identified in positive blood cultures. The detection rates of methicillin-resistant S. aureus (MRSA), methicillin-resistant S. epidermidis (MRSE), and methicillin-resistant coagulase-negative Staphylococci (MRCNS) were 51.6%, 79.9%, and 88.7%, respectively. Notably, all methicillin-resistant Staphylococci (MRS) isolates exhibited complete resistance to penicillin G (100%). In contrast, methicillin-susceptible Staphylococci (MSS) demonstrated species-specific resistance variations. MSSA isolates showed a significantly higher penicillin G resistance rate (92.3%) than MSSE (64.7%) and MSCNS (67.7%) (p < 0.05).

Susceptibility analysis further revealed that MRS isolates exhibited a statistically significant trend toward higher resistance to multiple antimicrobial classes, including macrolides, fluoroquinolones, and sulfonamides, than MSS isolates, suggesting a potential association between β-lactam resistance and multidrug-resistant phenotypes. No vancomycin-resistant Staphylococci were detected. Resistance to teicoplanin and linezolid was observed in 3.6% and 4.8% of MRCNS isolates, respectively, with no resistance detected in other staphylococcal groups. The detailed resistance data are summarized in Table 5.

Table 5 The Resistance Rate of Staphylococcus to Antimicrobial Agents

Antibiotic Resistance Characteristics of Enterococcus

Sixty Enterococcus isolates were recovered from the clinical specimens, with the following species distributions: E. faecalis (20 isolates, 33.3%), E. faecium (36 isolates, 60.0%), and other Enterococcus species (4 isolates, 6.7%). E. faecium demonstrated markedly elevated resistance profiles compared to E. faecalis across multiple antimicrobial classes, including erythromycin (86.7% vs 50.0%), penicillin G (97.1% vs 47.1%), ampicillin (88.9% vs 10.5%), and high-level gentamicin (36.0% vs 14.3%). The disparity in β-lactam resistance was particularly striking, with E. faecium exhibiting an 8.5-fold higher ampicillin resistance rate (88.9% vs 10.5%) and twice the penicillin G resistance rate (97.1% vs 47.1%) than E. faecalis. Notably, amoxicillin/clavulanic acid retained full activity against both species. Glycopeptide susceptibility analysis revealed no detectable vancomycin or teicoplanin resistance in E. faecalis. For E. faecium, a low vancomycin resistance rate of 2.8% was observed, whereas teicoplanin maintained 100% susceptibility. These findings highlight critical interspecies differences in antimicrobial resistance patterns, particularly the heightened β-lactam resistance in E. faecium, underscoring the need for species-level identification to guide therapeutic decisions (Table 6).

Table 6 The Resistance Rate of E. faecalis and E. faecium to Antimicrobial Agents

Antibiotic Resistance Characteristics of Streptococcus

Antimicrobial susceptibility testing revealed that all four β-hemolytic streptococcal isolates from blood cultures demonstrated 100% resistance to erythromycin, clindamycin, and levofloxacin, while maintaining complete sensitivity to ampicillin, penicillin G, and tetracycline, although the limited sample size necessitates cautious interpretation of these findings. Similarly, four S. pneumoniae blood culture isolates exhibited universal resistance (100%) to tetracycline, erythromycin, azithromycin, and clindamycin but remained fully susceptible to levofloxacin, moxifloxacin, and third-generation cephalosporins (cefotaxime/ceftriaxone). Among the 110 viridans streptococci isolates, high resistance rates were observed for erythromycin (77.9%), clindamycin (66.2%), and tetracycline (61.5%), whereas significantly lower resistance was documented for β-lactams (5.6% to ampicillin) and fluoroquinolones (5.1% to levofloxacin). Notably, vancomycin, linezolid, and meropenem maintained complete antimicrobial activity against all tested streptococcal species, with no emerging resistance detected in the study cohort. These findings underscore the preserved efficacy of β-lactams and glycopeptides against streptococci despite escalating resistance to macrolides, lincosamides, and tetracyclines, particularly in viridans (Table 7).

Table 7 The Resistance Rate of Streptococcus Species to Antimicrobial Agents

Temporal Shifts in Multidrug-Resistant Organism Detection Rates

Longitudinal surveillance (2018–2024) revealed dynamic shifts in MDRO epidemiology. CRABA maintained persistently high rates (>50% in 5/7 years), peaking at 75% (2019,2021), while CRKPN exhibited marked fluctuations with a concerning surge to 47.1% in 2023 after a 2020 nadir (14.3%). Notably, CRPAE, absent during 2019–2022, re-emerged at 33.3% (2023) and 20% (2024). Extended-spectrum cephalosporin resistance demonstrated divergent patterns: Cefotaxime- and Ceftriaxone-Resistant K. pneumoniae (CTX-CRO-R-KPN) paralleled CRKPN trends (peak 58.8% in 2023), whereas Cefotaxime- and Ceftriaxone-Resistant E. coli (CTX-CRO-R-ECO) fluctuated drastically from 20% (2019) to 80% (2021). Quinolone-resistant E. coli (QNR-ECO) oscillated between 20% and 53.3% without clear temporal direction. Gram-positive pathogens showed contrasting trajectories: MRCNS climbed from 83.8% (2018) to >90% during 2020–2023 (peak 95.1% in 2022), contrasting with declining MRSA rates falling from 75% (2018) to 40% (2024) despite transient rebounds. The marked fluctuations in multidrug resistance rates, particularly the dramatic oscillations observed in CTX-CRO-R-ECO (20–80%) and CRPAE (0–33.3%), may be partially attributable to limited annual isolates of target pathogens, which reduces statistical power and amplifies variability in resistance rate estimates. Detailed data are presented in Figure 3.

Figure 3 Trend of detection rate of multidrug-resistant bacteria in 2018–2024.

Abbreviations: CRKPN, carbapenem-resistant Klebsiella pneumoniae; CTX-CRO-R-KPN, Cefotaxime- and Ceftriaxone-Resistant K. pneumoniae; CRPAE, carbapenem-resistant Pseudomonas aeruginosa; CRABA, carbapenem-resistant Acinetobacter baumannii; CRECO, carbapenem-resistant Escherichia coli; CTX-CRO-R-ECO, Cefotaxime- and Ceftriaxone-Resistant E. coli; QNR-ECO, quinolone-resistant E. coli; MRCNS, methicillin-resistant coagulase-negative Staphylococci; MRSA, methicillin-resistant Staphylococcus aureus.

Discussion

Bloodstream infections represent a critical mortality determinant in critically ill cardiovascular patients, where evolving etiological profiles and antimicrobial resistance patterns not only dictate empirical antibiotic selection but also profoundly impact clinical outcomes and healthcare resource utilization.13 Within the BSI diagnostic framework, standardized blood culture protocols form the cornerstone of laboratory diagnostics, with rapid pathogen identification enabling clinicians to implement targeted antimicrobial therapy—a decisive factor in mortality reduction.14 This investigation systematically analyzed 1055 blood culture-positive isolates from Fuwai Central China Cardiovascular Hospital (2018–2024), delineating distinctive pathogen distributions and resistance patterns characteristic of specialized cardiovascular care settings, thereby providing critical insights for optimizing antimicrobial stewardship in high-risk populations.

Over a seven-year surveillance period, 1055 clinically significant bacterial isolates were recovered from blood cultures at our institution, with Gram-positive organisms predominating (62.7%), a proportion substantially exceeding the 48.8% reported in the 2015–2021 China Antimicrobial Surveillance Network (CHINET) multicenter surveillance of bloodstream isolates from 52 Chinese medical facilities and data from other tertiary general hospitals.15–17 This distinctive epidemiological profile likely reflects cardiovascular-specific risk factors, including the high prevalence of intravascular devices (cardiac pacemakers and prosthetic valves), post-cardiopulmonary bypass immunosuppression, and frequent central venous catheter utilization. The causative agents of BSIs exhibit geographic variations across countries, with distinct epidemiological profiles. Musicha et al18 in Malawi, Koupetori et al19 in Greece, and Bouza et al20 in Spain have attributed BSIs predominantly to Gram-negative bacteria, whereas Wasihun et al21 in Ethiopia, Bassetti et al22 in Italy, and Kolonitsiou et al23 in Greece challenged these results and identified Gram-positive bacteria as the primary causative agents. The predominance of E. coli in BSIs reported by Opota et al,24 Obeng-Nkrumah et al,25 and Labi et al26 stands in sharp contrast to investigations from certain Italian and African hospitals, where CoNS and Salmonella spp. have been consistently established as the predominant BSI pathogens.27,28 These divergent findings may be multifactorial and potentially attributable to differences in specimen collection volumes, geographic disparities, and distinct community lifestyles.

The most frequently isolated pathogens at our institution were CoNS, K. pneumoniae, E. coli, Enterococcus spp., and S. aureus. This finding aligns closely with the distribution data of clinically isolated bacteria from blood specimens reported by CHINET between 2015 and 2021.15 This microbial ecology may be attributed to multifactorial determinants: (1) the predominance of CoNS as commensal skin flora is strongly associated with iatrogenic infections from invasive procedures (eg, central line placements) and their propensity for biofilm formation on medical devices, predisposing to persistent bacteremia; (2) the elevated isolation rates of K. pneumoniae and E. coli likely reflect nosocomial transmission of extended-spectrum β-lactamase (ESBL)-producing and carbapenemase-expressing Enterobacteriaceae strains, which disproportionately cause bloodstream infections in immunocompromised hosts; and (3) S. aureus prevalence underscores rising community-acquired and healthcare-associated MRSA burdens, particularly in patients with diabetes mellitus or secondary bacteremia complicating skin/soft tissue infections. Pathophysiological drivers enabling the hematogenous dissemination of these opportunistic pathogens include inappropriate broad-spectrum antibiotic use, compromised mucosal barriers in critically ill patients, and expanding the implementation of immunosuppressive therapies.

This study elucidates the antimicrobial resistance profiles of clinically prevalent Enterobacteriaceae pathogens and provides critical evidence to guide empirical therapies for infectious diseases. Notably, the predominant pathogens, including K. pneumoniae and E. coli exhibit widespread resistance to conventional β-lactam antibiotics, with ampicillin resistance reaching 88.0% in E. coli, aligning with the global dissemination of ESBL-producing strains. Although piperacillin-tazobactam maintained relatively low resistance (8.0%) against E. coli, its resistance rate increased to 32.9% in K. pneumoniae, emphasizing the necessity of incorporating regional epidemiological data when selecting empirical regimens for severe infections. Carbapenem resistance rates reached 28.8 and 4.0% in K. pneumoniae and E. coli, respectively, exceeding those reported in CHINET bloodstream isolate surveillance data (2015–2021) and surveillance data from other countries.15,27,29 In contrast, E. cloacae demonstrated persistent carbapenem resistance (41.9%), a phenomenon potentially attributable to its intrinsic AmpC β-lactamase overexpression mechanism.30 The last-line agents polymyxin B and tigecycline retained potent activity against multidrug-resistant strains (resistance rates of <3.2%), although vigilant monitoring is warranted given the risk of resistance gene dissemination with widespread clinical use. Distinct interspecies resistance patterns emerged: S. marcescens exhibited pan-susceptibility across the tested agents, possibly related to its lower clinical prevalence and limited horizontal gene transfer capacity, whereas K. oxytoca demonstrated moderate β-lactam resistance (16.7–50.0%), along with preserved susceptibility to aminoglycosides and fluoroquinolones, offering alternative therapeutic options. Notably, fourth-generation cephalosporin cefepime showed comparable resistance rates (16.7–48.4%) to third-generation cephalosporins across species, suggesting the diminished empirical utility of conventional cephalosporins for severe Enterobacteriaceae infections in this region.

Our study revealed significantly higher detection rates of MRCNS (88.7%) and MRSA (51.6%) than both the CHINET bloodstream surveillance data (2015–2021) and other parts of the world.15,31,32 Notably, CoNS was isolated at a substantially higher frequency than S. aureus in our clinical setting. Although traditionally regarded as blood culture contaminants, CoNS demand particular attention for their pathogenic potential in immunocompromised hosts, having evolved into significant nosocomial pathogens through increasing utilization of invasive medical procedures (central venous catheterization, prosthetic joint replacement) and heightened risk of biofilm-associated infections in critically ill populations.33–35 Penicillin G exhibited 92.3% resistance in MSSA, highlighting ubiquitous β-lactamase production within this population.36 Macrolide resistance patterns revealed erythromycin resistance in 82.1% of MRSA cases versus 53.8% in MSSA cases, potentially associated with erm-mediated ribosomal methylation. High clindamycin resistance (60.7%) in MRSA suggests prevalent constitutive or inducible MLSB-resistant phenotypes necessitating D-test guidance for clinical application.37 Amikacin maintained low resistance rates (≤12.3% across all strains), particularly <3.8% in MSSA and MSSE, attributable to its structural resistance against aminoglycoside-modifying enzymes. Trimethoprim-sulfamethoxazole demonstrated markedly higher resistance in MRCNS (72.1%) than MRSA (21.4%), underscoring its limited therapeutic value against CoNS infections. As a last-resort antibiotic, vancomycin maintained 100% susceptibility across all isolates, confirming its status as a cornerstone therapy for severe MRSA and MR-CNS infections. However, the emerging resistance rates of 4.8% for linezolid and 3.6% for teicoplanin observed in MRCNS necessitate a stricter stewardship of these antimicrobial agents.

This study revealed extensive multidrug resistance in A. baumannii, demonstrating resistance rates exceeding 50% to β-lactams (ceftazidime 60.0%) and aminoglycosides (gentamicin 64.0%), while maintaining complete susceptibility to tigecycline and polymyxin B. Notably, carbapenem resistance in A. baumannii (60.0%) was lower than that reported in CHINET bloodstream surveillance data (>72.0%)15 and comparable to the 60.8% resistance rate documented at a Vietnamese hospital.38 P. aeruginosa exhibited favorable sensitivity to third-generation cephalosporins (ceftazidime 6.2%) and β-lactam/β-lactamase inhibitor combinations (piperacillin-tazobactam 6.2%), although its carbapenem resistance (31.2%) surpassed historical CHINET benchmarks and a tertiary care hospital in Beijing,39 suggesting potential carbapenemase production requires vigilance. B. cepacia complex and S. maltophilia demonstrated preferable antibiotic susceptibility profiles, with sulfonamides or fluoroquinolones recommended as first-line options. Enterococci exhibited marked interspecies resistance divergence: E. faecalis retained a higher susceptibility to ampicillin (10.5% resistance) and penicillin G (47.1% resistance), whereas E. faecium demonstrated resistance rates of 88.9% and 97.1%, respectively. Overall, vancomycin resistance remained low (2.8%), with complete susceptibility to amoxicillin-clavulanate, teicoplanin, and linezolid, providing effective therapeutic alternatives for severe infections. β-Hemolytic streptococci and S. pneumoniae exhibited universal resistance to erythromycin and clindamycin, indicating widespread erm-mediated MLSB resistance phenotypes,40 while viridans group streptococci showed similarly elevated resistance rates (77.9% and 66.2%, respectively). Penicillin G maintained full activity against β-hemolytic streptococci and S. pneumoniae, though 2.8% resistance emerged in viridans group streptococci, potentially associated with penicillin-binding protein (PBP) gene modifications.41 Fluoroquinolone susceptibility patterns demonstrated complete levofloxacin resistance in β-hemolytic streptococci versus minimal resistance (0–5.1%) in S. pneumoniae and viridans group streptococci, possibly reflecting differential accumulation of parC/gyrA mutations across species.42 Third-generation cephalosporins (cefotaxime, ceftriaxone), vancomycin, and linezolid maintained universal susceptibility across all streptococcal species, offering reliable options for severe infections. These findings underscore the critical need to avoid macrolides owing to their universal resistance risks, prioritize β-lactams or glycopeptides as empirical therapy, and implement species-specific treatment strategies based on distinct resistance profiles.

Limitations of This Study

It should be noted that our evaluation and discussion are limited to the cohort from our single institution, which may not be fully representative of broader patterns. In future studies, we intend to conduct a multicenter investigation to obtain a more comprehensive understanding.

Conclusion

In summary, our data demonstrate alarming antimicrobial resistance rates among predominant bloodstream isolates to first-line antibiotics. The persistent emergence of novel MDROs poses substantial therapeutic challenges for the management of BSIs. These findings underscore the critical need to sustain antimicrobial resistance surveillance programs, optimize antibiotic stewardship protocols, and reinforce hospital infection control measures to curb the spread and transmission of resistant pathogens.

Data Sharing Statement

All data used to analyze and generate the results of this study are included in this article.

Ethics Approval and Consent to Participate

The study was approved by the Ethics Committee of Fuwai Central China Cardiovascular Hospital (approval number: 2023-LS-84). Prior to the commencement of the study, all participants were fully informed of the purpose, procedures, potential risks, and benefits of the study and signed an informed consent form. Participants had the right to withdraw from the study at any time without any adverse consequences. The research adhered fully to the principles outlined in the Declaration of Helsinki.

Consent for Publication

All authors have read the manuscript and consent to publish.

Acknowledgments

We would like to thank the staff of the Microbiology Department of Fuwai Central China Cardiovascular Hospital for their contribution.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Funding

The authors declare that they received financial support for the research, authorship, and/or publication of this article. This work was supported by the General Program of the Natural Science Foundation of Henan Province (242300421291), Provincial-Ministerial Co-Construction Key Project of Henan Medical Science and Technology Research Program (SBGJ202402005), Young and Middle-aged Academic Leaders Training Program in Health System of Henan Province (HNSWJW-2022010), and Excellent Young Talents Program of Scientific and Technological Innovation in Health Care for Young Researchers in Henan Province (YXKC2022043).

Disclosure

The authors report no conflicts of interest in this work.

References

1. Costa SP, Carvalho CM. Burden of bacterial bloodstream infections and recent advances for diagnosis. Pathog Dis. 2022;80(1):ftac027. doi:10.1093/femspd/ftac027

2. Holmes CL, Albin OR, Mobley HLT, et al. Bloodstream infections: mechanisms of pathogenesis and opportunities for intervention. Nat Rev Microbiol. 2025;23(4):210–224. doi:10.1038/s41579-024-01105-2

3. Larru B, Gong W, Vendetti N, et al. Bloodstream infections in hospitalized children: epidemiology and antimicrobial susceptibilities. Pediatr Infect Dis J. 2016;35(5):507–510. doi:10.1097/inf.0000000000001057

4. Lee H, Yoon EJ, Kim D, et al. Antimicrobial resistance of major clinical pathogens in South Korea, May 2016 to April 2017: first one-year report from Kor-GLASS. Euro Surveill. 2018;23(42):1800047. doi:10.2807/1560-7917.Es.2018.23.42.1800047

5. Buetti N, Atkinson A, Kottanattu L, et al. Patterns and trends of pediatric bloodstream infections: a 7-year surveillance study. Eur J Clin Microbiol Infect Dis. 2017;36(3):537–544. doi:10.1007/s10096-016-2830-6

6. de Kraker ME, Jarlier V, Monen JC, et al. The changing epidemiology of bacteraemias in Europe: trends from the European Antimicrobial Resistance Surveillance System. Clin Microbiol Infect. 2013;19(9):860–868. doi:10.1111/1469-0691.12028

7. Gao J, Song J. Clinical analysis of distribution and drug resistance of pathogenic bacteria in blood culture of Dalian Municipal Central Hospital from 2015 to 2019. Pak J Med Sci. 2022;38(7):1931–1937. doi:10.12669/pjms.38.7.5377

8. Yuan H, Jiang J, Chen L, et al. Antimicrobial resistance of bacteria from blood specimens: surveillance reportfrom Hunan Province Antimicrobial Resistance Surveillance System, 2012–2021. Chin J Infect Control. 2024;23(8):921–931. doi:10.12138/j.issn.1671-9638.20245433

9. Kumar NR, Balraj TA, Kempegowda SN, et al. Multidrug-resistant sepsis: a critical healthcare challenge. Antibiotics. 2024;13(1):46. doi:10.3390/antibiotics13010046

10. Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing. 28–34th ed. Wayne, PA: Clinical and Laboratory Standards Institute, M100-S28-34; 2018–2024.

11. The European Committee on Antimicrobial Susceptibility Testing. Breakpoint tables for interpretation of MICs and zone diameters. Version 8.0-14.0, 2018–2024. Available from: http://www.eucast.org. Accessed August 20, 2025.

12. CPAM-CMI, CSLM-CMG, CSMI-CMG. Expert consensus on antimicrobial susceptibility methods and reports for polymyxins, tigecycline, and cefotaxime/avibactam. Chin J Lab Med. 2020;43(10):964–972. doi:10.3760/cma.j.cn114452-20200719-00619

13. Underwood J, Reeve N, Best V, et al. Risk of myocardial infarction and stroke following bloodstream infection: a population-based self-controlled case series. Open Heart. 2025;12(1). doi:10.1136/openhrt-2025-003241

14. Briggs N, Campbell S, Gupta S. Advances in rapid diagnostics for bloodstream infections. Diagn Microbiol Infect Dis. 2021;99(1):115219. doi:10.1016/j.diagmicrobio.2020.115219

15. Min Z, Xiangning H, Hua Y, et al. Distribution and antimicrobial resistance profiles of clinical isolates from blood samples: results from China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021. Chin J Infect Chemother. 2024;24(06):664–677. doi:10.16718/j.1009-7708.2024.06.006

16. Li K, Li L, Wang J. Distribution and antibiotic resistance analysis of blood culture pathogens in a tertiary care hospital in China in the past four years. Infect Drug Resist. 2023;16:5463–5471. doi:10.2147/idr.S423660

17. Liu Z, Cai H, Lei J, et al. Distribution and analysis of the resistance profiles of bacteria isolated from blood cultures in the intensive care unit. Front Microbiol. 2025;16:1464573. doi:10.3389/fmicb.2025.1464573

18. Musicha P, Cornick JE, Bar-Zeev N, et al. Trends in antimicrobial resistance in bloodstream infection isolates at a large urban hospital in Malawi (1998–2016): a surveillance study. Lancet Infect Dis. 2017;17(10):1042–1052. doi:10.1016/s1473-3099(17)30394-8

19. Koupetori M, Retsas T, Antonakos N, et al. Bloodstream infections and sepsis in Greece: over-time change of epidemiology and impact of de-escalation on final outcome. BMC Infect Dis. 2014;14:272. doi:10.1186/1471-2334-14-272

20. Bouza C, López-Cuadrado T, Saz-Parkinson Z, et al. Epidemiology and recent trends of severe sepsis in Spain: a nationwide population-based analysis (2006–2011). BMC Infect Dis. 2014;14:3863. doi:10.1186/s12879-014-0717-7

21. Wasihun AG, Wlekidan LN, Gebremariam SA, et al. Bacteriological profile and antimicrobial susceptibility patterns of blood culture isolates among febrile patients in Mekelle Hospital, Northern Ethiopia. Springerplus. 2015;4:314. doi:10.1186/s40064-015-1056-x

22. Bassetti M, Righi E, Carnelutti A. Bloodstream infections in the intensive care unit. Virulence. 2016;7(3):267–279. doi:10.1080/21505594.2015.1134072

23. Kolonitsiou F, Papadimitriou-Olivgeris M, Spiliopoulou A, et al. Trends of bloodstream infections in a University Greek Hospital during a three-year period: incidence of multidrug-resistant bacteria and seasonality in gram-negative predominance. Pol J Microbiol. 2017;66(2):171–180. doi:10.5604/01.3001.0010.7834

24. Opota O, Jaton K, Greub G. Microbial diagnosis of bloodstream infection: towards molecular diagnosis directly from blood. Clin Microbiol Infect. 2015;21(4):323–331. doi:10.1016/j.cmi.2015.02.005

25. Obeng-Nkrumah N, Labi AK, Addison NO, et al. Trends in paediatric and adult bloodstream infections at a Ghanaian referral hospital: a retrospective study. Ann Clin Microbiol Antimicrob. 2016;15(1):49. doi:10.1186/s12941-016-0163-z

26. Labi AK, Obeng-Nkrumah N, Bjerrum S, et al. Neonatal bloodstream infections in a Ghanaian Tertiary Hospital: are the current antibiotic recommendations adequate? BMC Infect Dis. 2016;16(1):598. doi:10.1186/s12879-016-1913-4

27. Licata F, Quirino A, Pepe D, et al. Antimicrobial resistance in pathogens isolated from blood cultures: a two-year multicenter hospital surveillance study in Italy. Antibiotics. 2020;10(1):10. doi:10.3390/antibiotics10010010

28. Tack B, Phoba MF, Van Puyvelde S, et al. Salmonella Typhi from blood cultures in the Democratic Republic of the Congo: a 10-year surveillance. Clin Infect Dis. 2019;68(Suppl 2):S130–s137. doi:10.1093/cid/ciy1116

29. Javaid N, Sultana Q, Rasool K, et al. Trends in antimicrobial resistance amongst pathogens isolated from blood and cerebrospinal fluid cultures in Pakistan (2011–2015): a retrospective cross-sectional study. PLoS One. 2021;16(4):e0250226. doi:10.1371/journal.pone.0250226

30. Yang X, Wang Z, Liu M, et al. Cefazolin and imipenem enhance AmpC expression and resistance in NagZ-dependent manner in Enterobacter cloacae complex. BMC Microbiol. 2022;22(1):284. doi:10.1186/s12866-022-02707-7

31. Foglia F, Della Rocca MT, Melardo C, et al. Bloodstream infections and antibiotic resistance patterns: a six-year surveillance study from southern Italy. Pathog Glob Health. 2023;117(4):381–391. doi:10.1080/20477724.2022.2129161

32. Chisavu L, Chisavu F, Marc L, et al. Bacterial resistances and sensibilities in a tertiary care hospital in Romania-a retrospective analysis. Microorganisms. 2024;12(8):1517. doi:10.3390/microorganisms12081517

33. Haddad SF, Lahr BD, Patarroyo SS, et al. Bloodstream infection due to coagulase-negative Staphylococci: impact of species on prevalence of infective endocarditis. Antibiotics. 2023;12(9):1453. doi:10.3390/antibiotics12091453

34. Siciliano V, Passerotto RA, Chiuchiarelli M, et al. Difficult-to-treat pathogens: a review on the management of multidrug-resistant Staphylococcus epidermidis. Life. 2023;13(5):1126. doi:10.3390/life13051126

35. Lisowska-łysiak K, Lauterbach R, Międzobrodzki J, et al. Epidemiology and pathogenesis of Staphylococcus bloodstream infections in humans: a review. Pol J Microbiol. 2021;70(1):13–23. doi:10.33073/pjm-2021-005

36. Lima LM, Silva B, Barbosa G, et al. β-lactam antibiotics: an overview from a medicinal chemistry perspective. Eur J Med Chem. 2020;208:112829. doi:10.1016/j.ejmech.2020.112829

37. Miklasińska-Majdanik M. Mechanisms of resistance to macrolide antibiotics among Staphylococcus aureus. Antibiotics. 2021;10(11):1406. doi:10.3390/antibiotics10111406

38. Van An N, Hoang LH, Le HHL, et al. Distribution and antibiotic resistance characteristics of bacteria isolated from blood culture in a teaching hospital in Vietnam during 2014–2021. Infect Drug Resist. 2023;16:1677–1692. doi:10.2147/idr.S402278

39. Zhu Q, Zhu M, Li C, et al. Epidemiology and microbiology of Gram-negative bloodstream infections in a tertiary-care hospital in Beijing, China: a 9-year retrospective study. Expert Rev Anti Infect Ther. 2021;19(6):769–776. doi:10.1080/14787210.2021.1848544

40. Viteri-Dávila C, Morales-Jadán D, Creel A, et al. The crisis of macrolide resistance in pneumococci in Latin America. Am J Trop Med Hyg. 2024;111(4):756–764. doi:10.4269/ajtmh.23-0913

41. Lopardo HA, Vigliarolo L, Bonofiglio L, et al. Beta-lactam antibiotics and viridans group streptococci. Rev Argent Microbiol. 2022;54(4):335–343. doi:10.1016/j.ram.2022.06.004

42. Hsu CY, Moradkasani S, Suliman M, et al. Global patterns of antibiotic resistance in group B Streptococcus: a systematic review and meta-analysis. Front Microbiol. 2025;16:1541524. doi:10.3389/fmicb.2025.1541524

Creative Commons License © 2025 The Author(s). This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms and incorporate the Creative Commons Attribution - Non Commercial (unported, 4.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.