Journal of Japanese Society for Emergency Medicine
Online ISSN : 2187-9001
Print ISSN : 1345-0581
ISSN-L : 1345-0581
Volume 22, Issue 4
Displaying 1-16 of 16 articles from this issue
ORIGINAL ARTICLES
  • Hiroaki TANAKA, Yoshifumi NISHI, Naohito OHNO, Yoshihiro YAMAGUCHI, Ta ...
    Article type: ORIGINAL ARTICLE
    2019Volume 22Issue 4 Pages 559-566
    Published: August 31, 2019
    Released on J-STAGE: August 31, 2019
    JOURNAL FREE ACCESS

    Phenytoin (PHT), one of the antiepileptic drugs, exhibits nonlinear pharmacokinetics and its effective range is narrow (10~20 µg/mL). We examined the effect of prescription design by pharmacist on the administration of PHT, at the Trauma and Critical Care Center, Kyorin University Hospital. The number of cases which has been measured blood concentration in suitable administration time at before the support start and after the support began was 37 cases (71.2% of the measurement example) and 23 cases (74.2% of same). Among cases requiring multiple measurement, the patients who deviated from the effective range during treatment was before: 15 cases (75.0%) and after: 3 cases (33.3%) (p<0.05). Pharmacist prescription support was considered to maintain PHT concentration for cases requiring long-term administration (>13days) of PHT, which is frequently treated at a critical care centers such as status epilepticus, patients which other medicine is ineffective, and patients who continue to receive PHT from other hospitals.

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  • Jun KANDA, Yasufumi MIYAKE, Eri YAMADA, Hiroto CHIBA, Masafumi YOSHIDA ...
    Article type: ORIGINAL ARTICLE
    2019Volume 22Issue 4 Pages 567-572
    Published: August 31, 2019
    Released on J-STAGE: August 31, 2019
    JOURNAL FREE ACCESS
  • Akira FUSE, Shinya SAKA, Rimi FUSE, Jun HAGIWARA, Masato MIYAUCHI, Hir ...
    Article type: ORIGINAL ARTICLE
    2019Volume 22Issue 4 Pages 573-579
    Published: August 31, 2019
    Released on J-STAGE: August 31, 2019
    JOURNAL FREE ACCESS

    Our objective was to predict the number of heat stroke patients from meteorological and Twitter data.

    Materials and Methods: Using 2015-2017 data for Kanagawa and Osaka, we fitted a formula to predict the number of heat stroke patients from daily mean temperature and the number of tweets (Twitter data points) about heat stroke. Then, to verify the accuracy of the formula, we applied it to 2016-2017 data for Tokyo and 2015-2017 for Kanagawa and Osaka.

    Results: The coefficient of correlation between the actual and predicted numbers of heat stroke patients in Tokyo was 0.9726, and prediction accuracy was improved by including number of tweets, even when applying the formula to another area.

    Discussion and Conclusion: The number of heat stroke patients can be predicted in real time from daily mean temperature and Twitter data, which could allow protective measures to be taken.

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  • Noriyasu FUKUOKA, Hiromichi YAMADA, Yasuhiko AJIMI, Hisato IKEDA, Jyun ...
    Article type: ORIGINAL ARTICLE
    2019Volume 22Issue 4 Pages 580-586
    Published: August 31, 2019
    Released on J-STAGE: August 31, 2019
    JOURNAL FREE ACCESS
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