1.Decision Tree Analysis of 100 Types of Body Constitution as Factors of Adverse Drug Reaction
Shigeru Hosaka ; Midori Yamamoto ; Tatsuya Saitoh ; Shinji Oshima ; Shigeru Ohshima ; Kimie Oshima ; Nobuaki Kutsuma ; Seiichi Honma ; Daisuke Kobayashi
Japanese Journal of Drug Informatics 2013;15(2):64-70
Objective: In this study, we evaluated distinctive types of physical predisposition in patients with common side effects.
Method: We selected 500 and 1,200 individuals with and without a previous diagnosis of side effects, respectively, through web-based research. Then, we conducted a decision tree analysis for investigating the status of 100 types of physical predisposition in these individuals.
Results and Conclusion: The individuals who had suffered from hepatic disorder and answered “relevant” for “predisposition to swelling” (likelihood ratio of a positive result [LR+] 2.17; p=0.004) and “very relevant” for “predisposition to skin dryness” (LR+ 3.52; p<0.001) enhanced the probability of extracting individuals who developed side effects. The individuals who had suffered from skin disorder and answered “relevant” for “predisposition to eczema and inflammation” and “not relevant” for “predisposition to higher temperature” had an LR+ of 2.22 (p<0.001). The individuals with “predisposition to worsening of physical condition on a rainy or high-humidity day” are more likely to develop side effects with the use of antibiotics and NSAIDs, compared to those without this predisposition (antibiotics: LR+ 2.33; NSAIDs: LR+ 2.51). The results of this study indicate that we can identify patients with a high risk of side effects through an interview on predisposition.
2.A Further Insight into the Origin of Human T-Lymphotropic Virus Type 1 (HTLV-1) in Japan, Based on the Genotyping of ABCC11
Kengo Oshima ; Hidefumi Fujii ; Katsuyuki Eguchi ; Masashi Otani ; Toshiaki Matsuo ; Shinji Kondo ; Koichiro Yoshiura ; Taro Yamamoto
Tropical Medicine and Health 2009;37(3):121-123
4.Effectiveness of a Relaxation Technique at the Workplace Evaluated by Autonomic Nervous Activity and Psychological Mood
Norihito OSHIMA ; Shinji NUMAO ; Mieko CHINZEI
The Journal of The Japanese Society of Balneology, Climatology and Physical Medicine 2011;74(4):256-262
Focused relaxation fosters mental and physical repose using stretching and breathing techniques in a pleasant environment. In this study, we analyzed the usefulness of this relaxation technique at the workplace by examining autonomic nervous system activity and psychological effects. Eleven healthy adults (7 males and 4 females) participated in this relaxation technique at a workplace. We investigated heart rate variability, salivary amylase levels and psychological state (Profile of Mood States) before and after the relaxation technique. Average levels of salivary amylase declined from 29.2±12.7kIU/L (mean±standard deviation) to 23.2±10.9kIU/L during the relaxation technique (p=0.05). Average heart rate was also reduced from 90.8±10.0beats/min to 84.9+8.9beats/min during the relaxation technique (p<0.01). Average hig-frequency band power values increased from 315.1±211.3msec2 to 381.8±225.3msec2 during the relaxation technique (p=0.02). Tension Anxiety score of Profile of Mood States decreased from 40.5±4.6 to 35.8±3.3 after the relaxation technique (p<0.01), and the Fatigue score of Profile of Mood States declined from 43.8±6.2 to 40.4±4.1 after the relaxation technique (p<0.05). These results suggested that the relaxation technique increased parasympathetic nervous system activity and decreased sympathetic nervous system activity. This relaxation technique can easily be performed at the workplace without special equipment and can elicit a subjective improvement in fatigue and anxiety in workers.
5.Changing Concept of Drug Dispensing Revealed by Text Mining of Past and Present Guidelines
Naoko INOUE ; Kazumasa YASUDA ; Yuto MORI ; Hayato AKIMOTO ; Kousuke OHARA ; Akio NEGISHI ; Mitsuyoshi OKITA ; Shinji OSHIMA ; Sachihiko NUMAJIRI ; Shigeru OHSHIMA ; Kazuhiko JUNI ; Daisuke KOBAYASHI
Japanese Journal of Social Pharmacy 2018;37(2):81-90
Drug dispensing is a statutory and designated duty of a pharmacist. We aimed to examine the changes in the nature of drug dispensing using a text mining method. Our corpus consisted of text documents from “Chozai Shishin”, the most standard manual for dispensing drugs in Japan, Editions 1 to 13 (Japan Pharmaceutical Association), and we used the KH Coder software for text mining. We constructed networks showing the association between frequent word co-occurrence and edition number, and co-occurrence relations for frequent words in each edition. We found that “patient” superseded “dispensing” as a frequent term over time. “Dispensing” was another frequent term with a highly centralized node in each edition. Accordingly, we targeted the term “dispensing” for network analysis to depict its co-occurrence relations. We found that the range of related words for “dispensing” broadened from “preparation” and “compounding” to include “patient adherence instructions”, “assessment”, “medical treatment”, and “information provision”. Accordingly, we concluded that the content of “dispensing”, which is a pharmacist’s duty, has expanded from the duties of “dispensing drugs” to include “responding to patients” within the definition of “dispensing”, and we were able to present this finding as objective data by using the mechanical method known as text mining.
6.Changing Concept of Drug Dispensing Revealed by Text Mining of Past and Present Guidelines
Naoko INOUE ; Kazumasa YASUDA ; Yuto MORI ; Hayato AKIMOTO ; Kousuke OHARA ; Akio NEGISHI ; Mitsuyoshi OKITA ; Shinji OSHIMA ; Sachihiko NUMAJIRI ; Shigeru OHSHIMA ; Kazuhiko JUNI ; Daisuke KOBAYASHI
Japanese Journal of Social Pharmacy 2018;37(2):81-90
Drug dispensing is a statutory and designated duty of a pharmacist. We aimed to examine the changes in the nature of drug dispensing using a text mining method. Our corpus consisted of text documents from “Chozai Shishin”, the most standard manual for dispensing drugs in Japan, Editions 1 to 13 (Japan Pharmaceutical Association), and we used the KH Coder software for text mining. We constructed networks showing the association between frequent word co-occurrence and edition number, and co-occurrence relations for frequent words in each edition. We found that “patient” superseded “dispensing” as a frequent term over time. “Dispensing” was another frequent term with a highly centralized node in each edition. Accordingly, we targeted the term “dispensing” for network analysis to depict its co-occurrence relations. We found that the range of related words for “dispensing” broadened from “preparation” and “compounding” to include “patient adherence instructions”, “assessment”, “medical treatment”, and “information provision”. Accordingly, we concluded that the content of “dispensing”, which is a pharmacist’s duty, has expanded from the duties of “dispensing drugs” to include “responding to patients” within the definition of “dispensing”, and we were able to present this finding as objective data by using the mechanical method known as text mining.