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      KCI등재 SCOPUS

      A Direct Rapid Phenotypic Antimicrobial Susceptibility Test Enables Early Selection of Optimal Antibiotics to Treat Bacteremia in COVID-19 Patients

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      https://www.riss.kr/link?id=A108161109

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      다국어 초록 (Multilingual Abstract)

      Background: Co-infection with bacteria and severe acute respiratory syndrome coronavirus 2 may result in greater use of healthcare resources and a poor prognosis. Therefore, early selection and use of optimal antibiotics are essential. The direct rapi...

      Background: Co-infection with bacteria and severe acute respiratory syndrome coronavirus 2 may result in greater use of healthcare resources and a poor prognosis. Therefore, early selection and use of optimal antibiotics are essential. The direct rapid antibiotic susceptibility test (dRAST) can detect antibiotic resistance within 6 h of a Gram smear result. This study aimed to assess the effectiveness of dRAST for improving early selection of appropriate antibiotics for coronavirus disease 2019 (COVID-19) patients with bacteremia.
      Materials and Methods: This retrospective study included 96 blood culture-positive COVID-19 patients. Bacterial isolates and antimicrobial resistance profiles of each case were evaluated. Cases were divided into two groups based on whether they underwent conventional antibiotic susceptibility test (AST) or dRAST. The time to optimal targeted treatment for the two groups was investigated and compared. In addition, we examined the proportion of cases for which appropriate antibiotics were selected and broad spectrum antibiotics were administered at 72 h from blood sample collection.
      Results: The mean time to optimal targeted antibiotic treatment was shorter for the dRAST group [55.7; standard deviation (SD), 28.7 vs. 92.3; SD, 51.1 h; P = 0.041]. The proportion of cases receiving optimal targeted antibiotics 72 h after blood collection for culture was higher [6/10 (60.0%) vs. 10/25 (40.0%)] and the percentage receiving broad spectrum antibiotics at 72 h was lower [6/10 (60.0%) vs. 19/25 (76.0%)] in the dRAST group than in the conventional AST group. In terms of microbiology profile, the contamination rate was high (35.5%) and multidrug-resistant strains were common (63.2%) in COVID-19 patients with bacteremia.
      Conclusion: Application of dRAST for selection of antibiotics to treat bacteremia in COVID-19 patients may enable earlier and optimal treatment. The high incidence of contamination and resistant organisms in blood cultures from COVID-19 patients suggest that dRAST may speed up appropriate targeted treatment.

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      참고문헌 (Reference)

      1 World Health Organization (WHO), "WHO coronavirus disease (COVID-19) dashboard"

      2 Rose AN, "Trends in antibiotic use in United States hospitals during the coronavirus disease 2019 pandemic" 8 : ofab236-, 2021

      3 Al-Hadidi SH, "The spectrum of antibiotic prescribing during COVID-19 pandemic : A systematic literature review" 27 : 1705-1725, 2021

      4 Apisarnthanarak A, "Strategy to limit multidrug-resistant Acinetobacter baumannii transmission in a cohort coronavirus disease 2019(COVID-19)critical care unit" 1-2, 2021

      5 Karataş M, "Secondary bacterial infections and antimicrobial resistance in COVID-19: comparative evaluation of pre-pandemic and pandemic-era, a retrospective single center study" 20 : 51-, 2021

      6 Kim Sun Bean, "Revised Korean Society of Infectious Diseases/National Evidence-based Healthcarea Collaborating Agency Guidelines on the Treatment of Patients with COVID-19" 대한감염학회 53 (53): 166-219, 2021

      7 Sieswerda E, "Recommendations for antibacterial therapy in adults with COVID-19-an evidence based guideline" 27 : 61-66, 2021

      8 Kim JH, "Prospective evaluation of a rapid antimicrobial susceptibility test(QMAC-dRAST)for selecting optimal targeted antibiotics in positive blood culture" 74 : 2255-2260, 2019

      9 Clinical and Laboratory Standards Institute (CLSI), "Performance standards for antimicrobial susceptibility testing. 26th ed. CLSI upplement M100-S28"

      10 Magiorakos AP, "Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria : an international expert proposal for interim standard definitions for acquired resistance" 18 : 268-281, 2012

      1 World Health Organization (WHO), "WHO coronavirus disease (COVID-19) dashboard"

      2 Rose AN, "Trends in antibiotic use in United States hospitals during the coronavirus disease 2019 pandemic" 8 : ofab236-, 2021

      3 Al-Hadidi SH, "The spectrum of antibiotic prescribing during COVID-19 pandemic : A systematic literature review" 27 : 1705-1725, 2021

      4 Apisarnthanarak A, "Strategy to limit multidrug-resistant Acinetobacter baumannii transmission in a cohort coronavirus disease 2019(COVID-19)critical care unit" 1-2, 2021

      5 Karataş M, "Secondary bacterial infections and antimicrobial resistance in COVID-19: comparative evaluation of pre-pandemic and pandemic-era, a retrospective single center study" 20 : 51-, 2021

      6 Kim Sun Bean, "Revised Korean Society of Infectious Diseases/National Evidence-based Healthcarea Collaborating Agency Guidelines on the Treatment of Patients with COVID-19" 대한감염학회 53 (53): 166-219, 2021

      7 Sieswerda E, "Recommendations for antibacterial therapy in adults with COVID-19-an evidence based guideline" 27 : 61-66, 2021

      8 Kim JH, "Prospective evaluation of a rapid antimicrobial susceptibility test(QMAC-dRAST)for selecting optimal targeted antibiotics in positive blood culture" 74 : 2255-2260, 2019

      9 Clinical and Laboratory Standards Institute (CLSI), "Performance standards for antimicrobial susceptibility testing. 26th ed. CLSI upplement M100-S28"

      10 Magiorakos AP, "Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria : an international expert proposal for interim standard definitions for acquired resistance" 18 : 268-281, 2012

      11 Jia L, "Mechanisms of severe mortality-associated bacterial co-infections following influenza virus infection" 7 : 338-, 2017

      12 Yu D, "Low prevalence of bloodstream infection and high blood culture contamination rates in patients with COVID-19" 15 : e0242533-, 2020

      13 Ohki R, "Increase of blood culture contamination during COVID-19pandemic. A retrospective descriptive study" 49 : 1359-1361, 2021

      14 Polly M, "Impact of the COVID-19pandemic on the incidence of multidrug-resistant bacterial infections in an acute care hospital in Brazil" 2021

      15 Clerc O, "Impact of matrix-assisted laser desorption ionization time-of-flight mass spectrometry on the clinical management of patients with Gram-negative bacteremia : a prospective observational study" 56 : 1101-1107, 2013

      16 Beadling C, "How do viral infections predispose patients to bacterial infections" 17 : 185-191, 2004

      17 Kim JH, "Enhanced antimicrobial stewardship based on rapid phenotypic antimicrobial susceptibility testing for bacteraemia in patients with haematological malignancies : a randomized controlled trial" 27 : 69-75, 2021

      18 Ferrer R, "Empiric antibiotic treatment reduces mortality in severe sepsis and septic shock from the first hour : results from a guideline-based performance improvement program" 42 : 1749-1755, 2014

      19 Kim NH, "Effect of routine sterile gloving on contamination rates in blood culture : a cluster randomized trial" 154 : 145-151, 2011

      20 Choi J, "Direct, rapid antimicrobial susceptibility test from positive blood cultures based on microscopic imaging analysis" 7 : 1148-, 2017

      21 Kim JH, "Direct rapid antibiotic susceptibility test(dRAST)for blood culture and its potential usefulness in clinical practice" 67 : 325-331, 2018

      22 Miyagami T, "Delayed treatment of bacteremia during the COVID-19 pandemic" 8 : 327-332, 2021

      23 Peck Kyong Ran, "Collaborative Response to COVID-19 Pandemic, and Development of Treatment Guidelines" 대한감염학회 53 (53): 151-154, 2021

      24 Lansbury L, "Co-infections in people with COVID-19 : a systematic review and meta-analysis" 81 : 266-275, 2020

      25 Barenfanger J, "Clinical and financial benefits of rapid bacterial identification and antimicrobial susceptibility testing" 37 : 1415-1418, 1999

      26 Feng Y, "COVID-19 with different severities : A multicenter study of clinical features" 201 : 1380-1388, 2020

      27 Pierce J, "COVID-19 and antimicrobial stewardship : lessons learned, best practices, and future implications" 113 : 103-108, 2021

      28 Langford BJ, "Bacterial co-infection and secondary infection in patients with COVID-19 : a living rapid review and metaanalysis" 26 : 1622-1629, 2020

      29 Sepulveda J, "Bacteremia and blood culture utilization during COVID-19 surge in New York City" 58 : e00875-e00920, 2020

      30 LeRose J, "502. The impact of combating COVID-19 on blood culture contamination and central line associated bloodsteam infection rates" 7 (7): S316-S317, 2020

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2010-02-25 학술지명변경 한글명 : 감염과화학요법 -> Infection and Chemotherapy
      외국어명 : Infection and Chemotherapy -> 미등록
      KCI등재후보
      2010-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-08-25 학술지명변경 외국어명 : 미등록 -> Infection and Chemotherapy KCI등재후보
      2008-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2008-01-01 평가 등재후보 탈락 (등재후보1차)
      2006-01-01 평가 등재후보 1차 FAIL (등재후보2차) KCI등재후보
      2005-05-27 학술지등록 한글명 : 감염과화학요법
      외국어명 : 미등록
      KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.24 0.24 0.24
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.2 0.2 0.46 0.29
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