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The epidemiology of bloodstream infection contributing to mortality: the difference between community-acquired, healthcare-associated, and hospital-acquired infections

Abstract

Background

The epidemiology of bloodstream infection (BSI) is well-established; however, little is known about the contribution of different pathogens to mortality. To understand true burden of BSI, pathogens contributing to mortality were investigated and compared according to where the BSI was acquired.

Methods

Data from deceased patients in two teaching hospitals in the Republic of Korea were collected. BSI contributing mortality was defined as BSI within 2-weeks before death. Cases were grouped by acquisition sites: community-acquired (CA)-, healthcare-associated (HCA)-, and hospital-acquired (HA)-BSI. Drug resistance, BSI focus, and appropriateness of empirical antimicrobial therapy were also compared.

Results

Among 1849 deceased patients in the hospitals, 280 (15.1%) patients experienced BSI within 2-weeks before death. In all, 71, 53, and 156 patients in the CA-, HCA-, and HA-BSI groups, respectively, with 316 total isolated pathogens were analyzed. The three most common pathogens were Klebsiella pneumoniae (17.1%), Escherichia coli (16.4%), and Staphylococcus aureus (11.4%). While K. pneumoniae and E. coli were the most common pathogens in CA- and HCA-BSI, Acinetobacter baumannii and Candida species were in HA-BSI. 26.3% (41/156) of patients experienced breakthrough HCA-BSI during administration of carbapenem and/or vancomycin. The proportion of central venous catheter-related infection (0%, 3.4% and 28.3%), carbapenem resistant-Gram negative bacilli (0%, 6.9% and 21.9%), and inappropriate empirical antimicrobial therapy (21.1%, 37.7% and 51.9%; all Pā€‰<ā€‰0.001) were more frequently observed in HA-BSI.

Conclusion

The epidemiology of BSI related to mortality had unique characteristics according to the acquisition site. Given the epidemiology of HA-BSI, infection control and antibiotics stewardship programs should be emphasized.

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Background

Bloodstream infections (BSI) are a common cause of mortality despite advances in antimicrobial agents and sepsis management [1,2,3]. Although short-term mortality of BSI has been estimated from 12 to 34%, the range of mortality could be highly variable according to the acquisition site (whether community or hospital-acquired BSI), a specific population, pathogens, drug resistance, and geographical region [1,2,3,4,5,6,7,8]. For example, hospital-acquired (HA)-BSI usually show higher crude mortality than community-acquired (CA)-BSI [2]. Although Escherichia coli is the most common pathogen causing BSIs worldwide, higher mortality has been reported with bacteremia due to other Gram-negative bacteremia other than E. coli [3, 9, 10]. Therefore, the epidemiology of pathogens contributing to mortality may differ from the actual bacteremia incidence of each specific pathogen.

In the Republic of Korea, E. coli, Staphylococcus aureus, and Klebsiella pneumoniae were the three most common pathogens of true bloodstream infection; In reports after the 2000s, drug resistance of Gram-negative bacilli (GNB) has been a more predominant problem than that of Gram-positive cocci (GPC) [10, 11]. Carbapenem resistance has been frequently observed with Acinetobacter baumannii, and reported to be more than 90% in a surveillance study in 2017 [12]. Although there are data on the proportion of each pathogen isolated from BSIs and their drug resistance, data on pathogens causing mortality and the extent of their contribution are rarely reported.

We believed that knowing the epidemiology of BSIs contributing to mortality and their susceptibility patterns could help better understand BSIs and set priority for infection control and institutional or national antibiotic policy. Therefore, this retrospective study was conducted to investigate pathogens related to mortality and to compare species and their characteristics according to where the BSI was acquired.

Methods

Study design and definition

Adult patients (ā‰„ā€‰18Ā years old) admitted to one of two teaching hospital between January 2019 and December 2019 were enrolled. The participating institutions were Samsung Changwon Hospital and Inje University Busan Paik Hospital located in Changwon and Busan, Korea, respectively. Electronic medical records were reviewed to collect data of laboratory results and clinical characteristics of patients.

We defined BSIs contributing mortality as a BSI within the 2-weeks before death, as prior studies have used a 14-day mortality to represent short-term mortality from BSI [8]. The results of blood cultures performed on the study population during the 2-weeks before death were collected. When bacteria or fungi were isolated from more than two separate blood samples or from a single blood sample in patients with explainable clinical symptoms and focuses other than skin commensals, they were considered as true BSIs [13]. We only considered isolated pathogens from true BSI as the pathogens contributing to mortality.

Patients and their isolated pathogens were classified by their acquisition sites: Community-acquired (CA)-, healthcare-associated (HCA)- and HA-BSI. HCA infection was defined as infected patients with at least one of the four elements: (1) Parenteral treatment within 30Ā days, (2) outpatient chemotherapy or hemodialysis within 30Ā days, (3) hospitalization forā€‰ā‰„ā€‰2Ā days in the preceding 90Ā days and (4) nursing home residence [14]. To compare baseline characteristics of patients and pathogens in CA-, HCA-, and HA-BSI groups, the following data were collected: age, sex, underlying disease, prior major surgery (within 4Ā weeks), prior antibiotics use (within 4Ā weeks), infection focus of BSI, and appropriateness of empirical antimicrobial treatment. Appropriate empirical antibiotic use was defined when agents to which the microbes were susceptible were administered within 48Ā h after obtaining the blood culture sample. In addition, the antimicrobial susceptibility of each pathogen was classified into four major resistance patterns: cefotaxime-resistant Enterobacteriaceae (not including carbapenem-resistant), carbapenem-resistant GNB (CRGNB), methicillin-resistant S. aureus (MRSA), and vancomycin-resistant Enterococcus (VRE). Stenotrophomonas maltophilia, which has intrinsic resistance to carbapenem, was also classified as CRGNB [15]. In addition, difficult-to-treat resistance (DTR), defined as nonsusceptibility to all Ī²-lactams and fluoroquinolones tested, was identified among CRGNB [16, 17].

Blood culture and drug sensitivity test

Blood was taken via a peripheral vein and/or a central line. Blood was drawn for two sets of blood culture bottles (aerobic and anaerobic, 8-10Ā cc blood for each bottle), and culture bottles were incubated in the Bactec-9240 system (Becton Dickinson, Sparks, MD) or BacT/Alert 3D system (bioMĆ©rieux Inc., Marcy lā€™Etoile, France).). All samples were cultured in blood agar and MacConkey agar plates in a 35Ā Ā°C incubator for 24Ā h and identified using the Vitek MS system (BioMĆ©rieux, Hazelwood, MI, USA). All antimicrobial susceptibility tests (ASTs) were performed using A Vitek II automated system (bioMĆ©rieux Inc.) according to the Clinical and Laboratory Standards Institute 2018 guidelines [18]. All procedures were performed according to the manufacturerā€™s instructions.

Statistical analysis

All statistical analyses were performed using SPSS 23.0 for Window (IBM Corp., 2015, Chicago, IL, USA). To compare characteristics between the CA-, HCA-, and HA-BSI groups, a Studentā€™s t-test or Mannā€“Whitney test was used to compare continuous variables of two groups, and a one-way analysis of variance (ANOVA) or Kruskalā€“Wallis test was used to compare continuous variables of multiple groups. Categorical variables were compared by using the chi-square test or Fisherā€™s exact test. For post hoc analysis for multiple comparison, the Bonferroni method was used. All P values were two-tailed, and P valuesā€‰<ā€‰0.05 were considered statistically significant.

Results

Study population

During the study period, a total of 1849 patients died. There were 331 patients with positive blood culture during the 2-weeks prior to death. After excluding two patients under 18Ā years of age and 49 patients with contaminated blood cultures, 280 (15.1%) patients were included in this study. The mean age of the study population was 69.92Ā years, and the ratio of males to females was 3:2. Seventy-one (25.4%), 53 (18.9%), and 156 (55.7%) patients were classified as CA-, HCA- and HA-BSI acquired infection, respectively. Whereas liver disease was more frequently observed in the CA-BSI group, cardiovascular disease was more frequently observed in the HA-BSI group. Malignancy and prior antibiotic use were more frequently observed in HCA- and HA-BSI groups than in the CA-BSI group (Table 1).

Table 1 Clinical characteristics of patients with BSI within 2-weeks before death

Species of isolated pathogens

A total of 316 pathogens were isolated from blood culture, and 74 (23.4%), 58 (18.4%) and 184 (58.2%) pathogens were identified from the CA-, HCA- and HA-BSI groups, respectively. Of the 280 patients, 34 patients experienced polymicrobial BSI in single BSI event or more than 2 consecutive BSI events, of which the HA-BSI group accounted forā€‰~ā€‰75% (26/34).

The five most common pathogens were Klebsiella pneumonia (17.1%), Escherichia coli (16.4%), Staphylococcus aureus (11.4%), Acinetobacter baumannii (10.8%), and Candida species (9.2%). The commonest pathogen in CA-, HCA-, and HA-BSI groups were E. coli, K. pneumoniae and A. baumannii (Table 2). Common isolated pathogens from each hospital were relatively similar and are described in Additional file 1: Tables S1 and S2. No difference in patient age was observed among the pathogen groups (Additional file 1: Table S3).

Table 2 Isolated pathogens from bloodstream infections

Overall, 54.5% (85/156) of patients in the HA-BSI group had a central venous catheter, and 37.2% (58/156) of patients were admitted to the intensive care unit when BSI occurred (not shown in Table). In addition, 26.3% (41/156) of patients experienced breakthrough HCA-BSI during administration of carbapenem and/or vancomycin. The most commonly isolated pathogen during carbapenem therapy was A. baumannii (Additional file 1: Table S4).

Comparison of characteristics between CA-, HCA- and HA-BSI

FigureĀ 1 shows the characteristics of each BSI group. Almost all of the fungi were isolated from the HA-BSI group. Candida species comprised 96.6% (28/29) of fungi isolates, and C. albicans was the most predominant (17 cases of 28 Candida species) (Fig.Ā 1A). Meanwhile, the most common portal of BSI entry was primary or from an unknown focus. Central venous catheter-related infection was more frequently observed in the HA-BSI group (28.3%) than in the HCA-BSI group (3.4%) or the CA-BSI group (0%) (Fig.Ā 1B).

Fig. 1
figure 1

The comparison between community-acquired, healthcare-associated, and hospital-acquired bloodstream infection contributing to mortality. A Isolated pathogens, B Portal of entry, C Drug resistance, D Appropriateness of empirical treatment. GPC Gram-positive coccus; GNB Gram-negative bacillus; IAI intra-abdominal infection; CRI catheter-related infection; VRE Vancomycin-resistant Enterococcus; MRSA Methicillin-resistant Staphylococcus aureus

The most frequently observed drug resistance was cefotaxime-resistant Enterobacteriaceae, which was distributed relatively evenly amongst in the CA-BSI (21.6%), HCA-BSI (20.6%), and HA-BSI groups (17.9%). There was no significant difference in the VRE and MRSA proportions in the three BSI groups. However, CR-GNB was the predominant drug resistant pathogen in the HA-BSI group (21.9%) (Fig.Ā 1C). The DTR pattern was identified in 81.8% (36/44) of CRGNBs. The most common species of CRGNB was A. baumannii (24 isolates), which rarely or never contributed to mortality in HCA- (6.9%) or CA-BSIs (0%). Inappropriate empirical antimicrobial treatment was more frequently observed in HA-BSIs (51.9%) compared with HCA- (37.7%) and CA-BSIs (21.1%) (Fig.Ā 1D). In our study population, 65 cases of BSI were empirically treated with type 2 carbapenems and glycopeptides. However, the treatment was still inappropriate in 26.2% of these patients due to drug resistance (data not shown).

Discussion

Our study showed common isolates from BSIs that contributed to mortality and patient clinical characteristics. Pathogens and characteristics of HA-BSIs related to mortality showed very different epidemiology from that of CA-BSIs in terms of species, portal of entry, antimicrobial resistance pattern, and appropriateness of empirical antimicrobial therapy. HA-BSIs contribute considerably to mortality in hospital, and the combination of carbapenem and glycopeptidesā€”which might be the most preferred empirical antibiotics regimens of cliniciansā€”did not prevent HA-BSIs nor did it meet the criterion of appropriate antimicrobial therapy.

GNBs more contributed to mortality than GPCs. Increasing antimicrobial resistance of GNB has been continuously reported and, along with the lack of new licensed antibiotics since the 1990s, has become a significant problem [10, 11, 19]. In this study, cefotaxime-resistant Enterobacteriaceae demonstrated the most predominant resistant pattern in the study population, especially in the CA-BSI group. Although ESBL-producing Enterobacteriaceae are usually associated with HA infection, its acquisition in the community setting has increased since the mid-2000s [20]. Surveillance data of antimicrobial resistance in South Korea in 2011 showed that only 18.3% of E. coli were resistant to cefotaxime; however, resistance rates increased to 34.7% by 2017 [10, 11]. Our study supported the real-world relationship between increasing ESBL-producing Enterobacteriaceae and mortality.

CRGNBs or DTR-GNBs has been evolving as a challenging health problem in hospital acquired infection [11, 16]. Numerically, 8.4% (156/1849) of patients who died in hospital had HA-BSI, and 25% (40/156) of these patients died because of acquisition of CRGNB bacteremia, which was most frequently caused by A. baumannii. Indeed, the high carbapenem resistance of A. baumannii has been reported worldwide [12, 21]. Although colistin is usually the only treatment option for carbapenem-resistant Acinetobacter baumannii (CRAB), the efficacy of colistin for CRAB bacteremia is not very reliable [22]. One multicenter study from South Korea reported the 28-day mortality of patients with CRAB bacteremia treated with colistin at 61.4% [23]. However, even for patients with CRAB bacteremia who did not receive appropriate antibiotics, the mortality rate was 69.8% [24]. High mortality, difficulty in administration of appropriate empirical antibiotics, and lack of reliable antimicrobial therapeutic options might be related to A. baumannii being the most predominant species from HA-BSI contributing to mortality in this study. Before effective treatment options against CRGNB to introduce, efforts are needed to comply with infection prevention management and to audit antibiotic prescriptions [25, 26].

In our study, Candida species were reported as the second most common isolates for HA-BSIs causing patient mortality. Appropriate empirical treatment of candidemia is another challenging problem similar to bacteremia caused by multidrug resistant pathogens. Although early appropriate treatment is associated with favorable outcomes [27], only a few patients received appropriate empirical anti-fungal agents due to difficulty in early diagnosis [28]. In our study, only 28.6% of patients who died with candidemia received appropriate antifungal agents. To reduce mortality resulting from candidemia, a more rapid and reliable diagnostic tool than blood culture is needed. The new T2Candida molecular test using magnetic resonance with molecular diagnostics has been introduced and is expected to be a rapid, promising tool for the detection of candidemia [29]. However, due to high initial and maintenance costs, there is a difficulty in wide application of T2 Candida in the clinical setting [30]. More accessible tools with high accuracy for candidemia diagnosis should be developed.

There were some limitations in our study. Even though our data were collected from two teaching hospitals, the epidemiology of BSI depends both on patient demographics and the geographical characteristics of each hospital. For example, only a small number of transplant recipients were included in our study; medical centers specializing in transplantation might show different HA-BSI epidemiology. In addition, in our study, we only considered short-term mortality of BSI. From this study, we cannot infer long-term mortality or changes in disability caused by BSI. Further studies are needed.

Conclusions

In conclusion, GNBs comprised a larger portion of microbes related to mortality than GPCs. K. pneumoniae and E. coli were the predominate pathogens associated with mortality in CA- and HCA-BSIs, while A. baumannii and Candida species were for HA-BSI. Along with increasing drug resistance in GNB, inappropriate empirical therapy was primarily observed in the HA-BSI group because of difficulties in predicting drug resistance and identifying fungal pathogens. Our data showed that, in the hospital setting, a significant number of patients die from acquired BSI, which the infection control team should make every effort to prevent. A combination of carbapenem and glycopeptide led to other pathogens arising with higher resistance or to fungal infection. The importance of infection prevention and antibiotics stewardship program should be emphasized, especially until more reliable treatment options for multidrug resistant GNB and rapid diagnostic tools are introduced.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available, but are available from the corresponding author on reasonable request.

Abbreviations

BSI:

Bloodstrean infection

CA:

Community-acquired

CRAB:

Carbapenem-resistant Acinetobacter baumannii

CRGNB:

Carbapenem-resistant Gram-negative bacilli

DTR:

Difficult-to-treat resistance

HA:

Hospital-acquired

HCA:

Healthcare-associated

GNB:

Gram-negative bacilli

GPC:

Gram-positive cocci

MRSA:

Methicillin-resistant Staphylococcus aureus

VRE:

Vancomycin-resistant Enterococcus

References

  1. Goto M, Al-Hasan MN. Overall burden of bloodstream infection and nosocomial bloodstream infection in North America and Europe. Clin Microbiol Infect. 2013;19(6):501ā€“9.

    ArticleĀ  CASĀ  Google ScholarĀ 

  2. Diekema DJ, Beekmann SE, Chapin KC, Morel KA, Munson E, Doern GV. Epidemiology and outcome of nosocomial and community-onset bloodstream infection. J Clin Microbiol. 2003;41(8):3655ā€“60.

    ArticleĀ  CASĀ  Google ScholarĀ 

  3. SĆøgaard M, NĆørgaard M, Dethlefsen C, SchĆønheyder HC. Temporal changes in the incidence and 30-day mortality associated with bacteremia in hospitalized patients from 1992 through 2006: a population-based cohort study. Clin Infect Dis. 2011;52(1):61ā€“9.

    ArticleĀ  Google ScholarĀ 

  4. Seboxa T, Amogne W, Abebe W, Tsegaye T, Azazh A, Hailu W, et al. High mortality from blood stream infection in Addis Ababa, Ethiopia, is due to antimicrobial resistance. PLoS ONE. 2015;10(12):e0144944.

    ArticleĀ  Google ScholarĀ 

  5. Koehler P, Stecher M, Cornely OA, Koehler D, Vehreschild M, Bohlius J, et al. Morbidity and mortality of candidaemia in Europe: an epidemiologic meta-analysis. Clin Microbiol Infect. 2019;25(10):1200ā€“12.

    ArticleĀ  CASĀ  Google ScholarĀ 

  6. Dickstein Y, Lellouche J, Ben Dalak Amar M, Schwartz D, Nutman A, Daitch V, et al. Treatment outcomes of colistin- and carbapenem-resistant Acinetobacter baumannii infections: an exploratory subgroup analysis of a randomized clinical trial. Clin Infect Dis. 2019;69(5):769ā€“76.

  7. Kim SH, Cha MK, Kang CI, Ko JH, Huh K, Cho SY, et al. Pathogenic significance of hemorrhagic pneumonia in hematologic malignancy patients with Stenotrophomonas maltophilia bacteremia: clinical and microbiological analysis. Eur J Clin Microbiol Infect Dis. 2019;38(2):285ā€“95.

    ArticleĀ  CASĀ  Google ScholarĀ 

  8. Neuner EA, Yeh J-Y, Hall GS, Sekeres J, Endimiani A, Bonomo RA, et al. Treatment and outcomes in carbapenem-resistant Klebsiella pneumoniae bloodstream infections. Diagn Microbiol Infect Dis. 2011;69(4):357ā€“62.

    ArticleĀ  CASĀ  Google ScholarĀ 

  9. Kang CI, Song JH, Chung DR, Peck KR, Ko KS, Yeom JS, et al. Risk factors and pathogenic significance of severe sepsis and septic shock in 2286 patients with Gram-negative bacteremia. J Infect. 2011;62(1):26ā€“33.

    ArticleĀ  Google ScholarĀ 

  10. Huh K, Kim J, Cho SY, Ha YE, Joo E-J, Kang C-I, et al. Continuous increase of the antimicrobial resistance among Gram-negative pathogens causing bacteremia: a nationwide surveillance study by the Korean Network for Study on Infectious Diseases (KONSID). Diagn Microbiol Infect Dis. 2013;76(4):477ā€“82.

    ArticleĀ  CASĀ  Google ScholarĀ 

  11. Lee H, Yoon E-J, Kim D, Jeong SH, Won EJ, Shin JH, et al. Antimicrobial resistance of major clinical pathogens in South Korea, May 2016 to April 2017: first one-year report from Kor-GLASS. Eurosurveillance. 2018;23(42):1800047.

    PubMed CentralĀ  Google ScholarĀ 

  12. Liu C, Yoon E-J, Kim D, Shin JH, Shin JH, Shin KS, et al. Antimicrobial resistance in South Korea: a report from the Korean global antimicrobial resistance surveillance system (Kor-GLASS) for 2017. J Infect Chemother. 2019;25(11):845ā€“59.

    ArticleĀ  CASĀ  Google ScholarĀ 

  13. Seifert H. The clinical importance of microbiological findings in the diagnosis and management of bloodstream infections. Clin Infect Dis. 2009;48(Suppl 4):S238ā€“45.

    ArticleĀ  Google ScholarĀ 

  14. Friedman ND, Kaye KS, Stout JE, McGarry SA, Trivette SL, Briggs JP, et al. Health care-associated bloodstream infections in adults: a reason to change the accepted definition of community-acquired infections. Ann Intern Med. 2002;137(10):791ā€“7.

    ArticleĀ  Google ScholarĀ 

  15. Chang YT, Lin CY, Chen YH, Hsueh P-R. Update on infections caused by Stenotrophomonas maltophilia with particular attention to resistance mechanisms and therapeutic options. Front Microbiol. 2015. https://doi.org/10.3389/fmicb.2015.00893.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  16. Kadri SS, Adjemian J, Lai YL, Spaulding AB, Ricotta E, Prevots DR, et al. Difficult-to-treat resistance in Gram-negative bacteremia at 173 US hospitals: retrospective cohort analysis of prevalence, predictors, and outcome of resistance to all first-line agents. Clin Infect Dis. 2018;67(12):1803ā€“14.

    PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

  17. Huh K, Chung DR, Ha YE, Ko JH, Kim SH, Kim MJ, et al. Impact of difficult-to-treat resistance in Gram-negative bacteremia on mortality: retrospective analysis of nationwide surveillance data. Clin Infect Dis. 2020;71(9):e487ā€“96.

    ArticleĀ  Google ScholarĀ 

  18. Clinical and Laboratory Standards Institute (CLSI). Performance standards for antimicrobial susceptibility testing. 28th ed. CLSI supplement M100 Wayne. 2018.

  19. Livermore DM. Current epidemiology and growing resistance of Gram-negative pathogens. Korean J Intern Med. 2012;27(2):128ā€“42.

    ArticleĀ  CASĀ  Google ScholarĀ 

  20. Doi Y, Park YS, Rivera JI, Adams-Haduch JM, Hingwe A, Sordillo EM, et al. Community-associated extended-spectrum Ī²-lactamase-producing Escherichia coli infection in the United States. Clin Infect Dis. 2013;56(5):641ā€“8.

  21. Kamolvit W, Sidjabat HE, Paterson DL. Molecular epidemiology and mechanisms of carbapenem resistance of Acinetobacter spp. Asia and Oceania. Microb Drug Resist. 2015;21(4):424ā€“34.

    ArticleĀ  CASĀ  Google ScholarĀ 

  22. Garnacho-Montero J, Amaya-Villar R, FerrĆ”ndiz-MillĆ³n C, DĆ­az-MartĆ­n A, LĆ³pez-SĆ”nchez JM, GutiĆ©rrez-Pizarraya A. Optimum treatment strategies for carbapenem-resistant Acinetobacter baumannii bacteremia. Expert Rev Anti Infect Ther. 2015;13(6):769ā€“77.

    ArticleĀ  CASĀ  Google ScholarĀ 

  23. Kim T, Park KH, Yu SN, Park SY, Park SY, Lee YM, et al. Early intravenous colistin therapy as a favorable prognostic factor for 28-day mortality in patients with CRAB bacteremia: a multicenter propensity score-matching analysis. J Korean Med Sci. 2019;34(39):e256.

  24. Kim T, Lee EJ, Park SY, Yu SN, Lee YM, Park KH, et al. Natural prognosis of carbapenem-resistant Acinetobacter baumannii bacteremia in patients who did not receive appropriate antibiotic treatment: a retrospective multicenter study in Korea. Medicine (Baltimore). 2018;97(43):e12984.

  25. Paterson DL, Isler B, Stewart A. New treatment options for multiresistant Gram negatives. Curr Opin Infect Dis. 2020;33(2):214ā€“23.

    PubMedĀ  Google ScholarĀ 

  26. Cheon S, Kim MJ, Yun SJ, Moon JY, Kim YS. Controlling endemic multidrug-resistant Acinetobacter baumannii in intensive care units using antimicrobial stewardship and infection control. Korean J Intern Med. 2016;31(2):367ā€“74.

    ArticleĀ  CASĀ  Google ScholarĀ 

  27. Morrell M, Fraser VJ, Kollef MH. Delaying the empiric treatment of candida bloodstream infection until positive blood culture results are obtained: a potential risk factor for hospital mortality. Antimicrob Agents Chemother. 2005;49(9):3640ā€“5.

    ArticleĀ  CASĀ  Google ScholarĀ 

  28. Zilberberg MD, Kollef MH, Arnold H, Labelle A, Micek ST, Kothari S, et al. Inappropriate empiric antifungal therapy for candidemia in the ICU and hospital resource utilization: a retrospective cohort study. BMC Infect Dis. 2010;10:150.

    ArticleĀ  Google ScholarĀ 

  29. Pfaller MA, Wolk DM, Lowery TJ. T2MR and T2Candida: novel technology for the rapid diagnosis of candidemia and invasive candidiasis. Future Microbiol. 2016;11(1):103ā€“17.

    ArticleĀ  CASĀ  Google ScholarĀ 

  30. Arendrup MC, Andersen JS, Holten MK, Krarup KB, Reiter N, Schierbeck J, et al. Diagnostic performance of T2Candida among ICU patients with risk factors for invasive candidiasis. Open Forum Infect Dis. 2019. https://doi.org/10.1093/ofid/ofz136.

    ArticleĀ  PubMedĀ  PubMed CentralĀ  Google ScholarĀ 

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Acknowledgements

Not applicable.

Funding

This research was supported by the SungKyunKwan University and the BK21 FOUR (Graduate School Innovation) funded by the Ministry of Education (MOE, Korea) and National Research Foundation of Korea (NRF).

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Authors and Affiliations

Authors

Contributions

Conceptualization, S-HK; Data curation, S-HK, SJM and H-TK; Formal analysis, S-HK; Methodology, S-HK, SJM and H-TK; Visualization, S-HK; Writingā€”original draft, S-HK, SJM, CM and YMW; Writingā€”review & editing, S-HK, SJM, H-TK, CM and YMW. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Si-Ho Kim.

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Ethics approval and consent to participate

The study was approved by the Samsung Changwon Hospital and Busan Paik Institutional Review Board (IRB number: SCMC 2020-12-013 and BPIRB 2021-01-005). The study was performed in accordance with the guidelines followed as per the Declaration of Helsinki. Informed consent was waived by the IRB of Konkuk university of medical center since the electronic medical record was reviewed retrospectively with de-personalized identification number.

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The manuscript is approved by all authors for publication.

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Table S1.

Isolated pathogen from Samsung Changwon medical center. Table S2. Isolated pathogen from Inje University Busan Paik Hospital. Table S3. Age distribution of patients grouped by blood isolates (Pā€‰=ā€‰0.838). Table S4. Breakthrough bloodstream infection in patients with hospital-acquired bloodstream infection.

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Mun, S.J., Kim, SH., Kim, HT. et al. The epidemiology of bloodstream infection contributing to mortality: the difference between community-acquired, healthcare-associated, and hospital-acquired infections. BMC Infect Dis 22, 336 (2022). https://doi.org/10.1186/s12879-022-07267-9

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