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2149. Real-Time Nationwide Surveillance for Antimicrobial Resistance of Major Pathogens Using Automated Data Collection System in Korea: A KARS-Net Study

BACKGROUND: Information on the most current status of antimicrobial resistance (AMR) in local and national levels has critical importance. However, collection and analysis of a large number of antimicrobial susceptibility test (AST) results often results in additional workload in healthcare faciliti...

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Autores principales: Huh, Kyungmin, Ha, Young Eun, Chung, Doo Ryeon, Ko, Jae-Hoon, Kim, Hyunsoo, Yong, Dongeun, Lee, Kyungwon, Huh, Hee Jae, Lee, Nam Yong, Oh, Suhyun, Jang, Sukbin, Mun, Seokjun, Kang, Cheol-In, Peck, Kyong Ran, Song, Jae-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252449/
http://dx.doi.org/10.1093/ofid/ofy210.1805
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author Huh, Kyungmin
Ha, Young Eun
Chung, Doo Ryeon
Ko, Jae-Hoon
Kim, Hyunsoo
Yong, Dongeun
Lee, Kyungwon
Huh, Hee Jae
Lee, Nam Yong
Oh, Suhyun
Jang, Sukbin
Mun, Seokjun
Kang, Cheol-In
Peck, Kyong Ran
Song, Jae-Hoon
author_facet Huh, Kyungmin
Ha, Young Eun
Chung, Doo Ryeon
Ko, Jae-Hoon
Kim, Hyunsoo
Yong, Dongeun
Lee, Kyungwon
Huh, Hee Jae
Lee, Nam Yong
Oh, Suhyun
Jang, Sukbin
Mun, Seokjun
Kang, Cheol-In
Peck, Kyong Ran
Song, Jae-Hoon
author_sort Huh, Kyungmin
collection PubMed
description BACKGROUND: Information on the most current status of antimicrobial resistance (AMR) in local and national levels has critical importance. However, collection and analysis of a large number of antimicrobial susceptibility test (AST) results often results in additional workload in healthcare facilities and latency in final reporting. We sought to develop an automated nationwide surveillance network in Korea. METHODS: Data collection servers were set up at each participating institutions, which collects AST results of every bacterial isolate from blood, cerebrospinal fluids, urine, and respiratory specimens. Collected results are anonymized and transmitted to central data server every day without human input. End-user can perform various analyses using data warehouse server through web interface. Only first isolates of same species from individual patients were included in analysis. RESULTS: A total of 19 hospitals located in various regions in Korea participated to the network. From January 2015 through December 2017, AST results of 347,356 isolates were collected. The proportion of MRSA among S. aureus (n = 17,761) was 65.3%, which declined gradually from 71.5 to 62.3% during study period (P < 0.001). The proportion of VRE increased from 29.3 to 36.3% (P = 0.001). Resistance rates of E. coli (n = 63,628) to third and fourth generation cephalosporins, fluoroquinolone, and piperacillin–tazobactam were 31.6, 23.0, 44.0, and 4.2%, respectively. Resistance rates of K. pneumoniae (n = 16,875) to same classes were 32.2, 28.1, 31.0 and 19.1%, respectively. Among E. coli and K. pneumoniae, 0.4 and 4.3% were resistant to carbapenem. Resistance rates of P. aeruginosa (n = 12,895) to carbapenem was 30.5%. However, 72.7% of A. baumannii isolates (n = 9,885) were resistant to carbapenem. Colistin resistance rate was still low at 0.5%. CONCLUSION: We have established a fully automated nationwide surveillance network for AMR in Korea. Our system provided data on the most current status of AMR, which revealed increase in resistance rates among major Gram-negative pathogens compared with previous studies. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62524492018-11-28 2149. Real-Time Nationwide Surveillance for Antimicrobial Resistance of Major Pathogens Using Automated Data Collection System in Korea: A KARS-Net Study Huh, Kyungmin Ha, Young Eun Chung, Doo Ryeon Ko, Jae-Hoon Kim, Hyunsoo Yong, Dongeun Lee, Kyungwon Huh, Hee Jae Lee, Nam Yong Oh, Suhyun Jang, Sukbin Mun, Seokjun Kang, Cheol-In Peck, Kyong Ran Song, Jae-Hoon Open Forum Infect Dis Abstracts BACKGROUND: Information on the most current status of antimicrobial resistance (AMR) in local and national levels has critical importance. However, collection and analysis of a large number of antimicrobial susceptibility test (AST) results often results in additional workload in healthcare facilities and latency in final reporting. We sought to develop an automated nationwide surveillance network in Korea. METHODS: Data collection servers were set up at each participating institutions, which collects AST results of every bacterial isolate from blood, cerebrospinal fluids, urine, and respiratory specimens. Collected results are anonymized and transmitted to central data server every day without human input. End-user can perform various analyses using data warehouse server through web interface. Only first isolates of same species from individual patients were included in analysis. RESULTS: A total of 19 hospitals located in various regions in Korea participated to the network. From January 2015 through December 2017, AST results of 347,356 isolates were collected. The proportion of MRSA among S. aureus (n = 17,761) was 65.3%, which declined gradually from 71.5 to 62.3% during study period (P < 0.001). The proportion of VRE increased from 29.3 to 36.3% (P = 0.001). Resistance rates of E. coli (n = 63,628) to third and fourth generation cephalosporins, fluoroquinolone, and piperacillin–tazobactam were 31.6, 23.0, 44.0, and 4.2%, respectively. Resistance rates of K. pneumoniae (n = 16,875) to same classes were 32.2, 28.1, 31.0 and 19.1%, respectively. Among E. coli and K. pneumoniae, 0.4 and 4.3% were resistant to carbapenem. Resistance rates of P. aeruginosa (n = 12,895) to carbapenem was 30.5%. However, 72.7% of A. baumannii isolates (n = 9,885) were resistant to carbapenem. Colistin resistance rate was still low at 0.5%. CONCLUSION: We have established a fully automated nationwide surveillance network for AMR in Korea. Our system provided data on the most current status of AMR, which revealed increase in resistance rates among major Gram-negative pathogens compared with previous studies. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6252449/ http://dx.doi.org/10.1093/ofid/ofy210.1805 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Huh, Kyungmin
Ha, Young Eun
Chung, Doo Ryeon
Ko, Jae-Hoon
Kim, Hyunsoo
Yong, Dongeun
Lee, Kyungwon
Huh, Hee Jae
Lee, Nam Yong
Oh, Suhyun
Jang, Sukbin
Mun, Seokjun
Kang, Cheol-In
Peck, Kyong Ran
Song, Jae-Hoon
2149. Real-Time Nationwide Surveillance for Antimicrobial Resistance of Major Pathogens Using Automated Data Collection System in Korea: A KARS-Net Study
title 2149. Real-Time Nationwide Surveillance for Antimicrobial Resistance of Major Pathogens Using Automated Data Collection System in Korea: A KARS-Net Study
title_full 2149. Real-Time Nationwide Surveillance for Antimicrobial Resistance of Major Pathogens Using Automated Data Collection System in Korea: A KARS-Net Study
title_fullStr 2149. Real-Time Nationwide Surveillance for Antimicrobial Resistance of Major Pathogens Using Automated Data Collection System in Korea: A KARS-Net Study
title_full_unstemmed 2149. Real-Time Nationwide Surveillance for Antimicrobial Resistance of Major Pathogens Using Automated Data Collection System in Korea: A KARS-Net Study
title_short 2149. Real-Time Nationwide Surveillance for Antimicrobial Resistance of Major Pathogens Using Automated Data Collection System in Korea: A KARS-Net Study
title_sort 2149. real-time nationwide surveillance for antimicrobial resistance of major pathogens using automated data collection system in korea: a kars-net study
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252449/
http://dx.doi.org/10.1093/ofid/ofy210.1805
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