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Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling

WHAT IS KNOWN AND OBJECTIVE: In our previous studies, we developed a cross‐resistance rate (CRR) correlation diagram (CRR diagram) that visually captures the magnitude of CRRs between antimicrobials using scatter plots. We used asymmetric multidimensional scaling (MDS) to transform cross‐resistance...

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Autores principales: Hatsuda, Yasutoshi, Maki, Syou, Ishizaka, Toshihiko, Omotani, Sachiko, Koizumi, Naonori, Yasui, Yukako, Saito, Takako, Myotoku, Michiaki, Okada, Akinori, Imaizumi, Tadashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298725/
https://www.ncbi.nlm.nih.gov/pubmed/34818683
http://dx.doi.org/10.1111/jcpt.13564
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author Hatsuda, Yasutoshi
Maki, Syou
Ishizaka, Toshihiko
Omotani, Sachiko
Koizumi, Naonori
Yasui, Yukako
Saito, Takako
Myotoku, Michiaki
Okada, Akinori
Imaizumi, Tadashi
author_facet Hatsuda, Yasutoshi
Maki, Syou
Ishizaka, Toshihiko
Omotani, Sachiko
Koizumi, Naonori
Yasui, Yukako
Saito, Takako
Myotoku, Michiaki
Okada, Akinori
Imaizumi, Tadashi
author_sort Hatsuda, Yasutoshi
collection PubMed
description WHAT IS KNOWN AND OBJECTIVE: In our previous studies, we developed a cross‐resistance rate (CRR) correlation diagram (CRR diagram) that visually captures the magnitude of CRRs between antimicrobials using scatter plots. We used asymmetric multidimensional scaling (MDS) to transform cross‐resistance similarities between antimicrobials into a 2‐dimensional map and attempted to visually express them. We also explored the antibiograms of Pseudomonas aeruginosa before and after the transfer to newly built hospitals, and we determined by the CRR diagram that the CRRs among β‐lactam antimicrobials other than carbapenems decreased substantially with the facility transfer. The present study tests whether the analysis of CRRs by asymmetric MDS can be used as new visual information that is easy for healthcare professionals to understand. METHOD: We tested the impact of changes in the nosocomial environment due to institutional transfers on CRRs among antimicrobials in asymmetric MDS, as well as contrasted the asymmetric MDS map and CRR diagram. RESULTS AND DISCUSSION: In the asymmetric MDS map, antimicrobial groups with the same mechanism of action were displayed close together, and antimicrobial groups with different mechanisms of action were displayed separately. The asymmetric MDS map drawn solely for antimicrobials belonging to the group with the same mechanism of action showed similarities to the CRR diagram. Also, the distance of each antimicrobial to other antimicrobials shown in the asymmetric MDS map was negatively correlated with the CRRs for them against that antimicrobial. WHAT IS NEW AND CONCLUSION: The asymmetric MDS map expresses the dissimilarity as distances between agents, and there are no meanings or units on the ordinate and abscissa axes of the output map. In contrast, the CRR diagram expresses the antimicrobials' resistance status as values, such as resistance rate and CRR. By analysing the CRRs in the asymmetric MDS, it is feasible to visually recognize cross‐resistance similarities between antimicrobial groups as distances. The use of the asymmetric MDS combined with the CRR diagram allows us to visually understand the resistance and cross‐resistance status of each antimicrobial agent as a 2‐dimensional map, as well as to understand the trends and characteristics of the data by means of quantitative values.
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spelling pubmed-92987252022-07-21 Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling Hatsuda, Yasutoshi Maki, Syou Ishizaka, Toshihiko Omotani, Sachiko Koizumi, Naonori Yasui, Yukako Saito, Takako Myotoku, Michiaki Okada, Akinori Imaizumi, Tadashi J Clin Pharm Ther Original Articles WHAT IS KNOWN AND OBJECTIVE: In our previous studies, we developed a cross‐resistance rate (CRR) correlation diagram (CRR diagram) that visually captures the magnitude of CRRs between antimicrobials using scatter plots. We used asymmetric multidimensional scaling (MDS) to transform cross‐resistance similarities between antimicrobials into a 2‐dimensional map and attempted to visually express them. We also explored the antibiograms of Pseudomonas aeruginosa before and after the transfer to newly built hospitals, and we determined by the CRR diagram that the CRRs among β‐lactam antimicrobials other than carbapenems decreased substantially with the facility transfer. The present study tests whether the analysis of CRRs by asymmetric MDS can be used as new visual information that is easy for healthcare professionals to understand. METHOD: We tested the impact of changes in the nosocomial environment due to institutional transfers on CRRs among antimicrobials in asymmetric MDS, as well as contrasted the asymmetric MDS map and CRR diagram. RESULTS AND DISCUSSION: In the asymmetric MDS map, antimicrobial groups with the same mechanism of action were displayed close together, and antimicrobial groups with different mechanisms of action were displayed separately. The asymmetric MDS map drawn solely for antimicrobials belonging to the group with the same mechanism of action showed similarities to the CRR diagram. Also, the distance of each antimicrobial to other antimicrobials shown in the asymmetric MDS map was negatively correlated with the CRRs for them against that antimicrobial. WHAT IS NEW AND CONCLUSION: The asymmetric MDS map expresses the dissimilarity as distances between agents, and there are no meanings or units on the ordinate and abscissa axes of the output map. In contrast, the CRR diagram expresses the antimicrobials' resistance status as values, such as resistance rate and CRR. By analysing the CRRs in the asymmetric MDS, it is feasible to visually recognize cross‐resistance similarities between antimicrobial groups as distances. The use of the asymmetric MDS combined with the CRR diagram allows us to visually understand the resistance and cross‐resistance status of each antimicrobial agent as a 2‐dimensional map, as well as to understand the trends and characteristics of the data by means of quantitative values. John Wiley and Sons Inc. 2021-11-24 2022-03 /pmc/articles/PMC9298725/ /pubmed/34818683 http://dx.doi.org/10.1111/jcpt.13564 Text en © 2021 The Authors. Journal of Clinical Pharmacy and Therapeutics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Hatsuda, Yasutoshi
Maki, Syou
Ishizaka, Toshihiko
Omotani, Sachiko
Koizumi, Naonori
Yasui, Yukako
Saito, Takako
Myotoku, Michiaki
Okada, Akinori
Imaizumi, Tadashi
Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling
title Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling
title_full Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling
title_fullStr Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling
title_full_unstemmed Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling
title_short Visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling
title_sort visualization of cross‐resistance between antimicrobial agents by asymmetric multidimensional scaling
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298725/
https://www.ncbi.nlm.nih.gov/pubmed/34818683
http://dx.doi.org/10.1111/jcpt.13564
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