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Chronological Monitoring of the Cross-Resistance Rate of Pseudomonas Aeruginosa Classified by the Radius-Distance Model

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Facets of Behaviormetrics

Part of the book series: Behaviormetrics: Quantitative Approaches to Human Behavior ((BQAHB,volume 4))

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Abstract

The approximate situation of the spread of antimicrobial-resistant bacteria can be estimated by the use of the cross-resistance rate (CRR). In our previous study, we reported some interesting features of the CRR that the pharmaceutical prescription of antibiotic drugs to patients reflects the asymmetric behavior of the pharmacists. Those behaviors can be represented by asymmetric data of the drugs, and we could gain new insights into that matter by applying the radius-distance model (Okada and Imaizumi in Behaviormetrika 14:81–96, 1987). This model was developed for evaluating the similarity of asymmetric data, and the degree of the similarity can be visualized by a configuration with points and the radii of circles in a multidimensional Euclidean space. We adopted the data of CRR of Pseudomonas aeruginosa as the first attempt to demonstrate the practical utility of this model. As a result, the same strains of antibiotics were distributed closely on the two-dimensional configuration. Even with different groups of antibiotics, the classification was found to be identical to the drugs’ mechanism of action. We clarified from the results of one month of chronological monitoring that the radii of the circles were influenced by a change in the environment, i.e., the hospital relocation. In conclusion, the radius-distance model has the potential for discovering new characteristics or specific features of the data from a new perspective in the fields of medical and pharmaceutical research.

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Acknowledgements

This research was supported by the research funding of the Institute of Frontier Science and Technology, Okayama University of Science. This paper was proofread in English by Prof. Christopher Carman of the University of Occupational and Environmental Health. Akinori Okada, Prof. Emeritus of the Rikkyo University, gave us advice on an earlier version of this paper. We would like to express our deepest gratitude for their support.

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Authors and Affiliations

  1. Institute of Frontier Science and Technology, Okayama University of Science, 1-1 Ridai-cho, Kitaku, Okayama, 700-0005, Japan

    Syou Maki

  2. Faculty of Pharmacy, Osaka Ohtani University, 3-11-1, Nishikiori-Kita, Tondabayashi, 584-8540, Osaka Pref, Japan

    Syou Maki, Yasutoshi Hatsuda, Sachiko Omotani & Michiaki Myotoku

  3. Sakai City Medical Center, 1-1-1 Ebaraji-Cho, Nishi-Ku, Sakai-Shi, Osaka, 593-8304, Japan

    Yasutoshi Hatsuda, Toshihiko Ishizaka, Sachiko Omotani, Naonori Koizumi, Yukako Yasui & Takako Saito

  4. School of Management and Information Sciences, Tama University, 4-1-1, HijirigaokaTokyo, 206-0022, Tama, Japan

    Tadashi Imaizumi

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  1. Syou Maki
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Correspondence to Syou Maki .

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Editors and Affiliations

  1. Rikkyo University, Tokyo, Japan

    Akinori Okada

  2. Graduate School of Human Relations, Keio University, Tokyo, Japan

    Kazuo Shigemasu

  3. The Institute of Statistical Mathematics, Tokyo, Japan

    Ryozo Yoshino

  4. School of Business, Aoyama Gakuin University, Tokyo, Tokyo, Japan

    Satoru Yokoyama

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Maki, S. et al. (2023). Chronological Monitoring of the Cross-Resistance Rate of Pseudomonas Aeruginosa Classified by the Radius-Distance Model. In: Okada, A., Shigemasu, K., Yoshino, R., Yokoyama, S. (eds) Facets of Behaviormetrics. Behaviormetrics: Quantitative Approaches to Human Behavior, vol 4. Springer, Singapore. https://doi.org/10.1007/978-981-99-2240-6_11

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