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Correlation between antibiotic consumption and the incidence of healthcare facility-onset Clostridioides difficile infection: a retrospective chart review and analysis

Antimicrobial Resistance & Infection Control volume 10, Article number: 117 (2021) Cite this article

Abstract

Background

Healthcare facility-onset Clostridioides difficile infection is the leading cause of antibiotic-associated diarrhea, and is associated with morbidity and mortality. The use of antibiotics is an important risk factor for healthcare facility-onset C. difficile infection. We evaluated the correlation between the incidence of healthcare facility-onset C. difficile infection and antibiotic consumption, according to antibiotic class.

Methods

Patients with healthcare facility-onset C. difficile infection from January 2017 to December 2018 at Konkuk University Medical Center (a tertiary medical center) were included. We evaluated changes in the incidence of healthcare facility-onset C. difficile infection and antibiotic consumption. The correlation between the incidence of healthcare facility-onset C. difficile infection and antibiotic consumption was evaluated two ways: without a time interval and with 1-month interval matching.

Results

A total of 446 episodes of healthcare facility-onset C. difficile infection occurred during the study period. The incidence of healthcare facility-onset C. difficile infection was 9.3 episodes per 10,000 patient-days, and increased significantly. We observed an increase in the consumption of β-lactam/β-lactamase inhibitors, and a decrease in the consumption of other classes of antibiotics, with a significant decrease in the consumption of fluoroquinolones, glycopeptides, and clindamycin (P = 0.01, P < 0.001, and P = 0.001, respectively). The consumption of β-lactam/β-lactamase inhibitors was independently correlated with the incidence of healthcare facility-onset C. difficile infection in the analysis without a time interval. When the analysis was conducted with 1-month interval matching, glycopeptide consumption was independently associated with the incidence of healthcare facility-onset C. difficile infection.

Conclusions

Despite the reduction in fluoroquinolone and clindamycin consumption, the incidence of healthcare facility-onset C. difficile infection increased during the study period, and was correlated with increased consumption of β-lactam/β-lactamase inhibitors. Reduced consumption of specific antibiotics may be insufficient to reduce the incidence of healthcare facility-onset C. difficile infection.

Background

Clostridioides difficile infection (CDI) is a major cause of diarrhea in hospitalized patients [1]. The clinical manifestations are diverse, from asymptomatic carriage to life-threatening conditions, such as toxic megacolon, shock, and death [2]. A worldwide increase in the incidence of CDI has been reported, and is associated with the wide use of broad-spectrum antibiotics, the emergence of hypervirulent strains, and the use of more sensitive diagnostic tools, such as nucleic acid amplification tests (NAATs) [3,4,5,6,7]. There have been many attempts to reduce the incidence of healthcare facility-onset (HO)-CDI, including antibiotic stewardship programs and infection control measures [8,9,10,11,12,13,14,15]. Recently, the United States Centers for Disease Control and Prevention reported a decrease in the incidence of CDI, predominantly in HO-CDI [16].

The consumption of antibiotics, such as ampicillin, cephalosporins, clindamycin, and fluoroquinolones, is an important risk factor for CDI, and is associated with the incidence of HO-CDI [1, 6, 17, 18]. Furthermore, a reduction in antibiotic consumption, due to antibiotic stewardship programs, resulted in a decrease in the incidence of HO-CDI [8,9,10, 12, 14]. These studies were conducted in Western countries, such as the United States and Europe. However, because of the differences in the major strains and their antibiotic susceptibility, the effect of antibiotic stewardship programs on the incidence of HO-CDI may differ depending on the nation [19].

In this study, we evaluated changes in the incidence of HO-CDI and the consumption of commonly used antibiotics, in terms of defined daily dose (DDD) and days of therapy (DOT). The correlation between the incidence of HO-CDI and antibiotic consumption was evaluated two ways, according to the class of antibiotics: without a time interval and with 1-month interval matching.

Methods

Study population and design

We retrospectively reviewed the medical records of patients with HO-CDI at Konkuk University Medical Center, an 800-bed tertiary hospital, from January 2017 to December 2018. The incidence of HO-CDI was evaluated monthly. It was measured in CDI episodes per 10,000 patient-days, and its trend was evaluated during the study period. Antibiotics, including intravenous and oral antibiotics, commonly used in hospitalized patients were classified as β-lactam/β-lactamase inhibitors (BLBLIs), third-generation cephalosporins, fourth-generation cephalosporins, fluoroquinolones, carbapenems, tigecycline, and clindamycin. The following antibiotics were included in each class: BLBLIs: ampicillin/sulbactam, amoxicillin/clavulanate, and piperacillin/tazobactam; third-generation cephalosporins: cefotaxime, ceftriaxone, ceftazidime, cefpodoxime, cefixime, cefditoren, and cefdinir; fourth-generation cephalosporins: cefepime; fluoroquinolones: ciprofloxacin, levofloxacin, and moxifloxacin; carbapenems: and ertapenem, meropenem, and imipenem. Antibiotic consumption during the study period was evaluated monthly and measured in DDD per 1000 patient-days and DOT per 1000 patient-days. The incidence of HO-CDI and the consumption of antibiotics, which were measured monthly, were paired without time intervals and with 1-month intervals (e.g., antibiotic consumption in January 2016 was matched with the incidence of HO-CDI in February 2016). The correlation between the incidence of HO-CDI and the consumption of each class of antibiotics was evaluated two ways, to determine the immediate and delayed effects of antibiotic consumption on the incidence of HO-CDI. The study was approved by the Institutional Review Board of Konkuk University Medical Center. The requirement for written informed consent was waived owing to the retrospective nature of the study.

Diagnosis of HO-CDI

We diagnosed HO-CDI according to the United States Infectious Disease Society guidelines [13] when patients had associated symptoms (unformed stools ≥ three times/day) and a positive test for C. difficile (a two-step glutamate dehydrogenase assay and a NAAT or a NAAT alone) after 3 days of hospitalization. Patient stool samples were tested for the presence of the tcdB gene (which encodes toxin B) using the Xpert® C. difficile assay (Cepheid; Sunnyvale, CA, USA) according to the manufacturer’s instructions [20].

Antibiotic stewardship program

The antibiotic stewardship program began in our hospital in March 2005. Initially, the program included broad-spectrum antibiotics, such as fourth-generation cephalosporins, piperacillin/tazobactam, carbapenems, tigecycline, glycopeptides, linezolid, and aminoglycosides. Thereafter, third-generation cephalosporins, fluoroquinolones, ampicillin/sulbactam, amoxicillin/clavulanate, and metronidazole were additionally included beginning in 2007. In 2009, the prophylactic use of third-generation cephalosporins and aminoglycosides was restricted. Professors in the Department of Infectious Diseases reviewed antibiotics ordered by physicians and determined their daily use. Without agreement from the reviewer, physicians could not order antibiotics for more than one day. Antibiotic consumption was monitored by hospital pharmacists. Data on antibiotic consumption were obtained from the centralized hospital database.

Statistical analyses

Trends in the incidence of HO-CDI were evaluated using Poisson regression analysis. Changes in antibiotic consumption during the study period were evaluated using linear regression analysis. Correlations between the incidence of HO-CDI and antibiotic consumption were evaluated using Spearman’s correlation analysis and linear regression analysis. Variables with P < 0.1 in the linear regression analysis were included for further evaluation. All statistical analyses were conducted using SPSS version 21.0 (SPSS Inc., Chicago, IL, USA). P < 0.05 was considered statistically significant.

Results

Incidence of HO-CDI

During the study period, a total of 586 CDI episodes occurred. We excluded 140 episodes because they occurred within 3 days after admission, meaning they were community acquired. The remaining 446 CDI episodes were included in this study.

The mean incidence of HO-CDI was 9.3 episodes per 10,000 patient-days (95% confidence interval: 8.3–10.3 episodes per 10,000 patient-days) during the study period. The incidence of HO-CDI significantly increased 1.8 times from January 2017 to December 2018 (P = 0.001; Fig. 1). When the outlying data points (January 2017 and December 2018) were excluded, the incidence of HO-CDI showed an increasing trend, without statistical significance (P = 0.054).

Fig. 1
figure1

The incidence of HO-CDI during the study period. The incidence of HO-CDI was measured monthly. During the study period (from January 2017 to December 2018), the incidence of HO-CDI significantly increased (P = 0.001). HO-CDI healthcare facility-onset C. difficile infection

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Antibiotic consumption

The consumption of all classes of intravenous antibiotics evaluated in this study, except BLBLIs, showed a decreasing trend in use; specifically, a significant decrease in fluoroquinolones, glycopeptides, and clindamycin. Fluoroquinolone use significantly decreased in terms of DOT (coefficient, − 0.39; P = 0.01), glycopeptide use significantly decreased in terms of DDD (coefficient, − 0.60; P < 0.001) and DOT (coefficient, − 0.61; P < 0.001), and clindamycin use significantly decreased in terms of DDD (coefficient, − 0.33; P = 0.003) and DOT(coefficient, − 0.39; P = 0.001). Conversely, consumption of BLBLI significantly increased in terms of DDD (from 145 to 187 per 1000 patient-days: coefficient, 1.30; P < 0.001) (Fig. 2) and DOT (from 168 to 214 per 1000 patient-days: coefficient, 1.58; P < 0.001) (Fig. 3). The total consumption of antibiotics showed a decreasing trend in terms of DDD and DOT, although this was not statistically significant.

Fig. 2
figure2

The trend of antibiotic consumption with defined daily doses during the study period. The consumption of β-lactam/β-lactamase inhibitors significantly increased, while the consumption of glycopeptides and clindamycin significantly decreased. *Indicates the antibiotics whose use increased significantly and † indicates the antibiotics whose use decreased significantly. BLBLIs β-lactam/β-lactamase inhibitors, 3rd cephalosporins third-generation cephalosporins

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Fig. 3
figure3

The trend of antibiotic consumption with days of therapy during the study period. The consumption of β-lactam/β-lactamase inhibitors significantly increased, while the consumption of fluoroquinolones, clindamycin, and glycopeptides significantly decreased. *Indicates the antibiotics whose use increased significantly and † indicates the antibiotics whose use decreased significantly. BLBLIs β-lactam/β-lactamase inhibitors, 3rd cephalosporins third-generation cephalosporins

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Correlation between the incidence of HO-CDI and antibiotic consumption

The consumption of most antibiotics, except BLBLIs and tigecycline, showed a negative correlation with the incidence of HO-CDI. The incidence of HO-CDI was significantly associated with the consumption of BLBLIs and glycopeptide in terms of DDD, and BLBLIs, third-generation cephalosporins, fourth-generation cephalosporins, and glycopeptides in terms of DOT (Table 1). Total antibiotic consumption was not significantly associated with the incidence of HO-CDI, either in terms of DDD or DOT. When we matched the 1-month interval, the consumption of glycopeptides and clindamycin showed a significant association with the incidence of HO-CDI in terms of DDD and DOT (Table 2).

Table 1 Correlation analysis between antibiotic consumption and the incidence of HO-CDI without a time interval
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Table 2 Correlation analysis between antibiotic consumption and the incidence of HO-CDI with 1-month interval matching
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When the analysis was conducted for each antibiotic, the consumption of ampicillin/sulbactam (P = 0.003 [DDD] and P < 0.001 [DOT]), ceftriaxone (P = 0.02 [DOT]), cefotaxime (P = 0.04 [DOT]), cefepime (P = 0.03 [DOT]), meropenem (P = 0.045 [DOT]), vancomycin (P = 0.03 [DOT]), and teicoplanin (P = 0.04 [DDD] and P = 0.02 [DOT]) was significantly correlated with the incidence of HO-CDI. In the 1-month interval matching analysis, the incidence of HO-CDI was significantly correlated with the consumption of ampicillin/sulbactam (P = 0.02 [DOT]), vancomycin (P = 0.03 [DDD] and P = 0.047 [DOT]), and clindamycin (P = 0.04 [DDD] and P = 0.02 [DOT]) (Additional file 1: Tables S1 and S2). Among the antibiotics that showed a significant association with the incidence of HO-CDI, ampicillin/sulbactam and cefotaxime were the only antibiotics that positively correlated with the incidence of HO-CDI.

In univariate analysis, the consumption of BLBLIs and glycopeptides significantly correlated with the incidence of HO-CDI. These variables, and other variables with P < 0.1, were included in the regression model. Multivariate analysis included the consumption of BLBLIs, glycopeptides, and carbapenems for DDD, and the consumption of BLBLIs, third-generation cephalosporins, fluoroquinolones, carbapenems, and glycopeptides for DOT. The analysis showed that the consumption of BLBLIs (P = 0.002 [DDD] and P < 0.001 [DOT]) was independently associated with the incidence of HO-CDI (Table 3). The consumption of BLBLIs (P = 0.01 [DOT]) and glycopeptides (P = 0.03 [DDD] and P = 0.045 [DOT]) were also correlated with the incidence of HO-CDI in the sensitivity analysis, excluding the outlying data points (January 2017 and December 2018) (Additional file 1: Table S3). When the regression analysis was conducted with 1-month interval matching, the consumption of glycopeptides (P = 0.04 [DDD] and P = 0.02 [DOT]) was independently associated with the incidence of HO-CDI (Table 4).

Table 3 Regression analysis between antibiotic consumption and the incidence of HO-CDI
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Table 4 Regression analysis between antibiotic consumption and the incidence of HO-CDI with 1-month interval matching
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Discussion

In this study, we evaluated changes in the incidence of HO-CDI and the consumption of antibiotics, and examined the association between the incidence of HO-CDI and the consumption of antibiotics. We found that the incidence of HO-CDI significantly increased during the study period, despite no increase in the total consumption of antibiotics in terms of DDD and DOT. The consumption of BLBLIs, third-generation cephalosporins, fourth-generation cephalosporins, and glycopeptides significantly correlated with the incidence of HO-CDI. Among these antibiotics, only the consumption of BLBLIs was significantly correlated with the incidence of HO-CDI, in the regression analysis.

The mean incidence of CDI was 9.3 episodes per 10,000 patient-days in our study. Previous studies reported various incidences of CDI according to the instrument, with a range of 2.8 to 9.3 per 10,000 patient-days [6]. In Korea, the mean incidence of HO-CDI was reported to be 7.16 episodes per 10,000 patient-days, in one study [21]. Our results were in the upper range of those reported in previous studies. The incidence of HO-CDI increased during our study period, despite no change in the total consumption of intravenous antibiotics. During the study period, the total number of laboratory tests to detect CDI increased from 3287 in 2017 to 4126 in 2018. The wide use of highly sensitive tests, such as a NAAT and glutamate dehydrogenase assay, may enable the detection of HO-CDI cases more precisely.

The pattern of antibiotic consumption changed during the study period. The major findings were a decrease in the consumption of glycopeptides, fluoroquinolones, and clindamycin, and an increase in the consumption of BLBLIs. These findings suggest that the antibiotic stewardship program works appropriately. To reduce multidrug-resistant pathogens, such as methicillin-resistant Staphylococcus aureus, extended-spectrum β-lactamase producing gram-negative bacilli, carbapenem-resistant gram-negative bacilli, and vancomycin-resistant enterococci, we restricted the inappropriate use of broad-spectrum antibiotics, such as carbapenems, fluoroquinolones, and glycopeptides. This intervention may influence the “balloon effect” in which physicians use BLBLIs more frequently. Therefore, we could not reduce the total consumption of antibiotics significantly during the study period. The “balloon effect” may reduce the effectiveness of the antibiotic stewardship program.

The consumption of BLBLIs and the incidence of HO-CDI showed a significant relationship. Similarly, Vernaz et al. [22] reported that amoxicillin/clavulanate consumption was correlated with the incidence of HO-CDI. However, some studies reported that the use of BLBLIs was associated with a lower incidence of HO-CDI than the use of high-risk antibiotics, such as third-generation cephalosporins and fluoroquinolones [23,24,25,26,27,28]. In our study, the risk and relative risk of HO-CDI with specific classes of antibiotics were not evaluated. Therefore, our results did not suggest that BLBLIs were associated with a higher risk of HO-CDI than other classes of antibiotics. Restricting the use of specific classes of antibiotics, such as third-generation cephalosporins and fluoroquinolones, may have a limited effect on the incidence of HO-CDI.

The consumption of ampicillin/sulbactam and amoxicillin/clavulanate, but not piperacillin/tazobactam, were significantly correlated with the incidence of HO-CDI. In previous studies, use of piperacillin/tazobactam was associated with a lower risk of C. difficile colonization and CDI, compared with the consumption of third-generation cephalosporins [23,24,25,26,27]. In studies that reported on the antibiotic susceptibility of C. difficile strains in Korea, almost all isolated C. difficile strains were susceptible to piperacillin/tazobactam, while approximately half of C. difficile isolates were resistant to ampicillin [29, 30]. The antibiotic susceptibility of C. difficile may influence the occurrence of HO-CDI. Further studies are needed to establish the impact of antibiotic susceptibility on the incidence of HO-CDI.

This study had some limitations. First, we only evaluated the consumption of antibiotics and the incidence of HO-CDI. Because of the ecological nature of this study, individual risk factors, such as age, underlying diseases, and disease severity, and the impact of changes in infection control measures could not be evaluated. Only a population-level correlation between the consumption of antibiotics and the incidence of HO-CDI could be evaluated. Second, the study period was relatively short. In our hospital, a NAAT and glutamate dehydrogenase assay were introduced in September 2016. Before then, toxin assays using enzyme immunoassays and toxigenic cultures for C. difficile were used to detect CDI. To minimize the impact of the changes in diagnostic tests, we used data after September 2016. Lastly, we did not evaluate the strain and antibiotic susceptibility of C. difficile detected in our study. Therefore, evaluation of the effect of the strain and antibiotic susceptibility on the incidence of HO-CDI was limited. Despite these limitations, our study showed a significant correlation between the consumption of BLBLIs and the incidence of HO-CDI in terms of DDD and DOT.

Conclusions

During the study period, the incidence of HO-CDI and the consumption of BLBLIs significantly increased, while the total antibiotic consumption did not. The consumption of BLBLIs was associated with the incidence of HO-CDI. Reduced consumption of specific antibiotics only may be insufficient to reduce the incidence of HO-CDI.

Availability of data and materials

All data generated or analyzed during this study are included in this published article [and its supplementary information files).

Abbreviations

BLBLIs:

β-Lactam/β-lactamase inhibitors

CDI:

Clostridioides difficile Infection

DDD:

Defined daily dose

DOT:

Days of therapy

HO-CDI:

Healthcare facility-onset Clostridioides difficile infection

NAAT:

Nucleic acid amplification test

References

  1. 1.

    Stevens V, Dumyati G, Fine LS, Fisher SG, van Wijngaarden E. Cumulative antibiotic exposures over time and the risk of Clostridium difficile infection. Clin Infect Dis. 2011;53:42–8.

    Article  Google Scholar 

  2. 2.

    Gerding DN, Johnson S, Peterson LR, Mulligan ME, Silva J Jr. Clostridium difficile-associated diarrhea and colitis. Infect Control Hosp Epidemiol. 1995;16:459–77.

    CAS  Article  Google Scholar 

  3. 3.

    Gould CV, Edwards JR, Cohen J, Bamberg WM, Clark LA, Farley MM, et al. Effect of nucleic acid amplification testing on population-based incidence rates of Clostridium difficile infection. Clin Infect Dis. 2013;57:1304–7.

    CAS  Article  Google Scholar 

  4. 4.

    Kim YS, Han DS, Kim YH, Kim WH, Kim JS, Kim HS, et al. Incidence and clinical features of Clostridium difficile infection in Korea: a nationwide study. Epidemiol Infect. 2013;141:189–94.

    CAS  Article  Google Scholar 

  5. 5.

    Moehring RW, Lofgren ET, Anderson DJ. Impact of change to molecular testing for Clostridium difficile infection on healthcare facility-associated incidence rates. Infect Control Hosp Epidemiol. 2013;34:24018922.

    Google Scholar 

  6. 6.

    Evans CT, Safdar N. Current trends in the epidemiology and outcomes of Clostridium difficile infection. Clin Infect Dis. 2015;60(Suppl 2):S66-71.

    Article  Google Scholar 

  7. 7.

    Nagy E. What do we know about the diagnostics, treatment and epidemiology of Clostridioides (Clostridium) difficile infection in Europe? J Infect Chemother. 2018;24:164–70.

    Article  Google Scholar 

  8. 8.

    Sarma JB, Marshall B, Cleeve V, Tate D, Oswald T, Woolfrey S. Effects of fluoroquinolone restriction (from 2007 to 2012) on Clostridium difficile infections: interrupted time-series analysis. J Hosp Infect. 2015;91:74–80.

    CAS  Article  Google Scholar 

  9. 9.

    Baur D, Gladstone BP, Burkert F, Carrara E, Foschi F, Döbele S, et al. Effect of antibiotic stewardship on the incidence of infection and colonisation with antibiotic-resistant bacteria and Clostridium difficile infection: a systematic review and meta-analysis. Lancet Infect Dis. 2017;17:990–1001.

    Article  Google Scholar 

  10. 10.

    Dingle KE, Didelot X, Quan TP, Eyre DW, Stoesser N, Golubchik T, et al. Effects of control interventions on Clostridium difficile infection in England: an observational study. Lancet Infect Dis. 2017;17:411–21.

    CAS  Article  Google Scholar 

  11. 11.

    Louh IK, Greendyke WG, Hermann EA, Davidson KW, Falzon L, Vawdrey DK, et al. Clostridium difficile infection in acute care hospitals: systematic review and best practices for prevention. Infect Control Hosp Epidemiol. 2017;38:476–82.

    Article  Google Scholar 

  12. 12.

    Shea KM, Hobbs ALV, Jaso TC, Bissett JD, Cruz CM, Douglass ET, et al. Effect of a health care system respiratory fluoroquinolone restriction program to alter utilization and impact rates of Clostridium difficile infection. Antimicrob Agents Chemother. 2017;61:e00125-e217.

    Article  Google Scholar 

  13. 13.

    McDonald LC, Gerding DN, Johnson S, Bakken JS, Carroll KC, Coffin SE, et al. Clinical practice guidelines for Clostridium difficile infection in adults and children: 2017 update by the Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA). Clin Infect Dis. 2018;66:e1-48.

    CAS  Article  Google Scholar 

  14. 14.

    Patton A, Davey P, Harbarth S, Nathwani D, Sneddon J, Marwick CA. Impact of antimicrobial stewardship interventions on Clostridium difficile infection and clinical outcomes: segmented regression analyses. J Antimicrob Chemother. 2018;73:517–26.

    CAS  Article  Google Scholar 

  15. 15.

    Ragusa R, Giorgianni G, Lupo L, Sciacca A, Rametta S, La Verde M, et al. Healthcare-associated Clostridium difficile infection: role of correct hand hygiene in cross-infection control. J Prev Med Hyg. 2018;59:E145–52.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Guh AY, Mu Y, Winston LG, Johnston H, Olson D, Farley MM, et al. Trends in U.S. burden of Clostridioides difficile infection and outcomes. N Engl J Med. 2020;382:1320–30.

    CAS  Article  Google Scholar 

  17. 17.

    Crew PE, Rhodes NJ, O’Donnell JN, Miglis C, Gilbert EM, Zembower TR, et al. Correlation between hospital-level antibiotic consumption and incident health care facility-onset Clostridium difficile infection. Am J Infect Control. 2018;46:270–5.

    Article  Google Scholar 

  18. 18.

    Leffler DA, Lamont JT. Clostridium difficile infection. N Engl J Med. 2015;372:1539–48.

    CAS  Article  Google Scholar 

  19. 19.

    Burke KE, Lamont JT. Clostridium difficile infection: a worldwide disease. Gut Liver. 2014;8:1–6.

    CAS  Article  Google Scholar 

  20. 20.

    Pancholi P, Kelly C, Raczkowski M, Balada-Llasat JM. Detection of toxigenic Clostridium difficile: comparison of the cell culture neutralization, Xpert C. difficile, Xpert C. difficile/Epi, and Illumigene C. difficile assays. J Clin Microbiol. 2012;50:1331–5.

    CAS  Article  Google Scholar 

  21. 21.

    Kim J, Pai H, Seo MR, Kang JO. Epidemiology and clinical characteristics of Clostridium difficile infection in a Korean tertiary hospital. J Korean Med Sci. 2011;26:1258–64.

    Article  Google Scholar 

  22. 22.

    Vernaz N, Hill K, Leggeat S, Nathwani D, Philips G, Bonnabry P, et al. Temporal effects of antibiotic use and Clostridium difficile infections. J Antimicrob Chemother. 2009;63:1272–5.

    CAS  Article  Google Scholar 

  23. 23.

    Settle CD, Wilcox MH, Fawley WN, Corrado OJ, Hawkey PM. Prospective study of the risk of Clostridium difficile diarrhoea in elderly patients following treatment with cefotaxime or piperacillin–tazobactam. Aliment Pharmacol Ther. 1998;12:1217–23.

    CAS  Article  Google Scholar 

  24. 24.

    Wilcox MH, Freeman J, Fawley W, MacKinlay S, Brown A, Donaldson K, et al. Long-term surveillance of cefotaxime and piperacillin–tazobactam prescribing and incidence of Clostridium difficile diarrhoea. J Antimicrob Chemother. 2004;54:168–72.

    CAS  Article  Google Scholar 

  25. 25.

    Dubberke ER, Reske KA, Seiler S, Hink T, Kwon JH, Burnham CA. Risk factors for acquisition and loss of Clostridium difficile colonization in hospitalized patients. Antimicrob Agents Chemother. 2015;59:4533–43.

    CAS  Article  Google Scholar 

  26. 26.

    Kundrapu S, Sunkesula VC, Jury LA, Cadnum JL, Nerandzic MM, Musuuza JS, et al. Do piperacillin/tazobactam and other antibiotics with inhibitory activity against Clostridium difficile reduce the risk for acquisition of C. difficile colonization? BMC Infect Dis. 2016;16:1–7.

    Article  Google Scholar 

  27. 27.

    Bonnassot P, Barben J, Tetu J, Bador J, Bonniaud P, Manckoundia P, et al. Clostridioides difficile infection after pneumonia in older patients: which antibiotic is at lower risk? J Hosp Infect. 2020;105:527–33.

    Article  Google Scholar 

  28. 28.

    Slimings C, Riley TV. Antibiotics and hospital-acquired Clostridium difficile infection: update of systematic review and meta-analysis. J Antimicrob Chemother. 2014;69:881–91.

    CAS  Article  Google Scholar 

  29. 29.

    Kim H, Jeong SH, Roh KH, Hong SG, Kim JW, Shin MG, et al. Investigation of toxin gene diversity, molecular epidemiology, and antimicrobial resistance of Clostridium difficile isolated from 12 hospitals in South Korea. Korean J Lab Med. 2010;30:491–7.

    CAS  PubMed  Google Scholar 

  30. 30.

    Byun JH, Kim H, Kim JL, Kim D, Jeong SH, Shin JH, et al. A nationwide study of molecular epidemiology and antimicrobial susceptibility of Clostridioides difficile in South Korea. Anaerobe. 2019;60:102106.

    CAS  Article  Google Scholar 

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  1. Division of Infectious Diseases, Department of Internal Medicine, School of Medicine, Konkuk University, Konkuk University Medical Center, 120-1 Neungdong-ro, Gwangjin-gu, Seoul, 05029, Republic of Korea

    Ji Hyun Yun, Ga Eun Park & Hyun Kyun Ki

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  1. Ji Hyun Yun
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JHY collected the data, conducted the statistical analysis, and wrote the manuscript. GEP revised the manuscript. HGK designed the experiments and revised the manuscript. All authors read and approved the final manuscript.

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Correspondence to Hyun Kyun Ki.

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This study was approved by the Institutional Review Board of Konkuk University Medical Center. The requirement for written informed consent was waived owing to the retrospective nature of the study.

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Supplementary Information

Additional File 1: Table 1

. Correlation analysis between antibiotic consumption and the incidence of HO-CDI without a time interval.

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Yun, J.H., Park, G.E. & Ki, H.K. Correlation between antibiotic consumption and the incidence of healthcare facility-onset Clostridioides difficile infection: a retrospective chart review and analysis. Antimicrob Resist Infect Control 10, 117 (2021). https://doi.org/10.1186/s13756-021-00986-9

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Keywords

  • Antibiotics
  • Consumption
  • Correlation
  • Healthcare facility-onset Clostridium difficile infection
  • Incidence

Antimicrobial Resistance & Infection Control

ISSN: 2047-2994

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