Yamagami Akira

写真a

Affiliation

Faculty of Pharmacy, Department of Pharmacy Healthcare Innovation in Pharmacy ( Shiba-Kyoritsu )

Position

Project Assistant Professor (Non-tenured)/Project Research Associate (Non-tenured)/Project Instructor (Non-tenured)

E-mail Address

E-mail address

Related Websites

Contact Address

Shibakoen, Minato-ku, Tokyo, Japan

Telephone No.

+81-3-5400-2796
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Career 【 Display / hide 】

  • 2014.04
    -
    2024.09

    Hokkaido University Hospital, Department of Pharmacy, Pharmacist

  • 2024.10
    -
    Present

    Keio University, Faculty of Pharmacy, Project Assistant Professor

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Academic Background 【 Display / hide 】

  • 2008.04
    -
    2014.03

    International University of Health and Welfare, School of Pharmacy, Department of Pharmaceutical Sciences

  • 2019.04
    -
    2024.09

    Hokkaido University, Graduate School of Life Science, Division of Clinical Pharmacy

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Research Areas 【 Display / hide 】

  • Life Science / Clinical pharmacy

  • Life Science / Surgical dentistry

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Research Keywords 【 Display / hide 】

  • Real-world data

  • Interrupted time series analysis

  • Clinical prediction model

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Papers 【 Display / hide 】

  • Guideline impact on antibiotic use for tooth extraction across facility types in Japan: An interrupted time series analysis using a health insurance claims database.

    Akira Yamagami, Ryuma Inasaka, Shungo Imai, Masami Tsuchiya, Satoko Hori, Ayako Furugen

    The Journal of hospital infection 171   32 - 42 2026.02

    Lead author, Corresponding author, Accepted,  ISSN  0195-6701

    　View Summary

    OBJECTIVE: To evaluate the impact of dental antibiotic guidelines recommending amoxicillin (AMPC) over third-generation cephalosporins (3GCs) for prophylactic use in surgical site infections (SSI), prescription patterns, and cost-effectiveness across facility types, considering the presence of infection control departments and ward pharmacists. METHOD: Using a health insurance claims database of individuals aged 75 years, we performed an interrupted time-series analysis of dental visits with tooth extractions from April 2012 to March 2024. A segmented regression model was applied to assess the impact of antibiotic guidelines (December 2014, 2014 guidelines; April 2016, 2016 guidelines) on 3GCs days of therapy (DOT) and SSI rates. Antibiotic costs and in-hospital vs. out-of-hospital prescription patterns in dental clinics were also evaluated. RESULTS: Overall, the number of 3GCs DOT decreased, although the impact of the guidelines differed between facilities. After the implementation of the 2014 guidelines, 3GCs use decreased in hospitals, but not in dental clinics. After the implementation of the 2016 guidelines, it was further reduced in hospitals with infection control departments and ward pharmacists, and a decline in 3GCs use in dental clinics was initiated. No changes were observed in hospitals with infection control departments alone. The shift from 3GCs to AMPC was more evident in out-of-hospital prescriptions than in in-hospital prescriptions. SSI rates remained unchanged; however, antibiotic costs decreased significantly over time. CONCLUSION: Guideline-based antimicrobial stewardship can reduce 3GCs use and healthcare costs without compromising patient safety. Our findings highlight the importance of a multidisciplinary collaboration to enhance the impact of guidelines.

  • Validity and Utility of a Risk Prediction Model for Wound Infection After Lower Third Molar Surgery

    Akira Yamagami, Katsuya Narumi, Yoshitaka Saito, Ayako Furugen, Shungo Imai, Keisuke Okamoto, Yoshimasa Kitagawa, Yoichi Ohiro, Ryo Takagi, Yoh Takekuma, Mitsuru Sugawara, Masaki Kobayashi

    Oral Diseases (Wiley)  31 ( 6 ) 1922 - 1931 2025.01

    Accepted,  ISSN  1354-523X

    　View Summary

    ABSTRACT

    Objectives

    To externally validate a clinical prediction model for surgical site infection (SSI) after lower third molar (L3M) surgery and evaluate its clinical usefulness.

    Methods

    We conducted a retrospective cohort study of patients who underwent L3M surgery at Hokkaido University Hospital. The study was designed to evaluate the historical and methodological transportability. Clinical usefulness was evaluated using decision curve analysis on the data of the non‐antibiotic‐treated patients.

    Results

    We obtained 2543 validation cohorts from April 2020 to March 2023, and 640 non‐antibiotic cohorts from July 2010 to September 2023. The incidences of SSI after L3M surgery were 5.3% (135/2543) and 7.7% (49/640) in the validation and non‐antibiotic cohorts, respectively. The discrimination ability of the prediction model was acceptable for the external validation cohort (c‐statistic: 0.67; 95% CI: 0.62–0.71) and adequate for the non‐antibiotic cohort (c‐statistic: 0.72; 95% CI: 0.63–0.79). In both cohorts, the model showed excellent calibration between the observed and predicted probabilities. Decision curve analysis showed increased net benefit across a range of meaningful risk thresholds.

    Conclusion

    A simple risk prediction model for SSI after L3M surgery demonstrated clinical transportability and usefulness. This model may help surgeons/clinicians determine the appropriateness of prophylactic antibiotics administration for patients in L3M surgery.

  • Reply to Accurate Risk Prediction Model for Surgical Site Infection After Lower Third Molar Surgery.

    Akira Yamagami, Katsuya Narumi, Yoshitaka Saito, Ayako Furugen, Shungo Imai, Yoshimasa Kitagawa, Yoichi Ohiro, Ryo Takagi, Yoh Takekuma, Mitsuru Sugawara, Masaki Kobayashi

    Oral diseases 31 ( 4 ) 1374 - 1375 2024.11

    Lead author, Accepted,  ISSN  1354-523X

  • Development of a risk prediction model for surgical site infection after lower third molar surgery.

    Akira Yamagami, Katsuya Narumi, Yoshitaka Saito, Ayako Furugen, Shungo Imai, Yoshimasa Kitagawa, Yoichi Ohiro, Ryo Takagi, Yoh Takekuma, Mitsuru Sugawara, Masaki Kobayashi

    Oral diseases 30 ( 5 ) 3202 - 3211 2024.07

    Lead author, Accepted,  ISSN  1354523X

    　View Summary

    BACKGROUND: There is little evidence regarding risk prediction for surgical site infection (SSI) after lower third molar (L3M) surgery. METHODS: We conducted a nested case-control study to develop a multivariable logistic model for predicting the risk of SSI after L3M surgery. Data were obtained from Hokkaido University Hospital from April 2013 to March 2020. Multiple imputation was applied for the missing values. We conducted decision tree (DT) analysis to evaluate the combinations of factors affecting SSI risk. RESULTS: We identified 648 patients. The final model retained the available distal space (Pell & Gregory II [p = 0.05], Pell & Gregory III [p < 0.01]), depth (Pell & Gregory B [p < 0.01], Pell & Gregory C [p < 0.01]), surgeon's experience (3-10 years [p = 0.25], <3 years [p < 0.01]), and simultaneous extraction of both L3M [p < 0.01]; the concordance-statistic was 0.72. The DT analysis demonstrated that patients with Pell and Gregory B or C and simultaneous extraction of both L3M had the highest risk of SSI. CONCLUSIONS: We developed a model for predicting SSI after L3M surgery with adequate predictive metrics in a single center. This model will make the SSI risk prediction more accessible.

  • Evaluation of the strategies to reduce third-generation oral cephalosporins in dentistry at a Japanese academic hospital: An interrupted time series analysis.

    Akira Yamagami, Katsuya Narumi, Yoshitaka Saito, Ayako Furugen, Shungo Imai, Yoshimasa Kitagawa, Yoichi Ohiro, Ryo Takagi, Yoh Takekuma, Mitsuru Sugawara, Masaki Kobayashi

    Journal of clinical pharmacy and therapeutics 47 ( 7 ) 1010 - 1019 2022.07

    Lead author, Accepted,  ISSN  02694727

    　View Summary

    <h4>What is known and objective</h4>Third-generation oral cephalosporins, especially cefcapene-pivoxil (CFPN-PI), have been used frequently in the Japanese dental field. In December 2014 and April 2016, the newly published clinical guidelines recommended the use of amoxicillin (AMPC). Thus, it is important to evaluate the impact of these guidelines on the prescription profiles of prophylactic antibiotics, clinical outcomes and cost-effectiveness of antibiotics.<h4>Methods</h4>We conducted a retrospective study to analyse an interrupted time series analysis from April 2013 to March 2020 at the Department of Dentistry of Hokkaido University Hospital. A segmented regression model was used to estimate the changes in the incidence of infectious complications following tooth extraction. Prescribed antibiotic data were evaluated via days of therapy (DOT). Antibiotic costs were calculated in terms of the Japanese yen (JPY).<h4>Results and discussion</h4>We identified 17,825 eligible patients. The incidence rates of infectious complications (SSI + dry socket) and SSI after tooth extraction were 3.2% and 2.2%, respectively, during the entire period. The extraction of impacted third molars corresponded to 5.0% and 3.4%, respectively. However, their incidence rates were not significantly different during this period. The use of prophylactic antibiotics and antibiotic cost showed consistent trends following the implementation of guidelines. The mean DOT of CFPN-PI decreased (ranging from 4893.6 DOTs/1000 patients [March 2013 to November 2014] to 3856.4 DOTs/1000 patients [December 2014 to March 2016]; p < 0.001, and from 3856.4 DOTs/1000 patients [December 2014 to March 2016] to 2293.9 DOTs/1000 patients [April 2016 to March 2020]; p < 0.001). In contrast, the mean DOT of AMPC was found to be increased (ranging from 1379.7 DOTs/1000 patients [March 2013 to November 2014] to 3236.3 DOTs/1000 patients [December 2014 to March 2016]; p < 0.001, and from 3236.3 DOTs/1000 patients [December 2014 to March 2016] to 4597.8 DOTs/1000 patients [April 2016 to March 2020]; p < 0.001). The mean monthly cost was decreased (ranging from 905.3 JPY [March 2013 to November 2014] to 788.7 JPY [December 2014 to March 2016]; p = 0.003, and from 788.7 JPY [December 2014 to March 2016] to 614.0 JPY [April 2016 to March 2020]; p < 0.001).<h4>What is new and conclusion</h4>After December 2014, prophylactic antibiotics were switched from CFPN-PI to AMPC, and the incidence rate of infectious complications was not significantly different over time. However, changing antibiotics is useful from a cost-effectiveness perspective.

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Reviews, Commentaries, etc. 【 Display / hide 】

  • フレイル進行を介した口腔機能低下症と2型糖尿病発症の因果推定

    山神 彰, 今井 俊吾, 土屋 雅美, 堀 里子, 古堅 彩子

    口腔衛生学会雑誌 ((一社)日本口腔衛生学会)  76 ( 増刊 ) 122 - 122 2026.04

    ISSN  0023-2831

  • フレイル進行を介した口腔機能低下症と2型糖尿病発症の因果推定

    山神 彰, 今井 俊吾, 土屋 雅美, 堀 里子, 古堅 彩子

    口腔衛生学会雑誌 ((一社)日本口腔衛生学会)  76 ( 増刊 ) 122 - 122 2026.04

    ISSN  0023-2831

  • 授乳期における医薬品の使用実態調査　消費者パネルによるインターネット調査

    佐山 杏子, 祝嶺 美里, 山神 彰, 堀 里子, 古堅 彩子

    日本医薬品情報学会総会・学術大会講演要旨集 ((一社)日本医薬品情報学会)  27回   115 - 115 2025.06

  • 抜歯手術における抗菌薬ガイドラインの影響:歯科・医科横断レセプトデータベースを用いた中断時系列分析

    山神彰, 稲坂竜馬, 今井俊吾, 土屋雅美, 堀里子, 古堅彩子

    医療薬学フォーラム講演要旨集 33rd 2025

    ISSN  1348-0863

  • 【STOP!AMR 抗菌薬の適正使用を考える】歯科における最適な抗菌薬に関する考察

    山神 彰, 菅原 満

    DENTAL DIAMOND ((株)デンタルダイヤモンド社)  48 ( 3 ) 46 - 50 2023.02

    ISSN  0386-2305

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Presentations 【 Display / hide 】

  • 歯科領域における予防的抗菌薬の適切な使用方法 −SSIリスク評価による適正化へのアプローチ−

    山神 彰

    第41回日本環境感染学会総会・学術集会, 

    2026.07
    , 

    Symposium, workshop panel (nominated)

  • 下顎埋伏智歯抜歯後感染に関連する患者リスク因子の検討：歯科医科横断データベースを用いた解析

    稲坂 竜馬, 山神 彰, 今井 俊吾, 土屋 雅美, 堀 里子, 古堅 彩子

    医療薬学フォーラム2026／第34回クリニカルファーマシーシンポジウム, 

    2026.06
    , 

    Poster presentation

  • フレイル進行を介した口腔機能低下症と2型糖尿病発症の因果推定

    山神 彰, 今井 俊吾, 土屋 雅美, 堀 里子, 古堅 彩子

    第75回日本口腔衛生学会学術大会, 

    2026.05
    , 

    Poster presentation, (一社)日本口腔衛生学会

  • Analysis of Counseling Related to OTC Drug Use During Pregnancy and Lactation Provided by Consumers to a Pharmaceutical Company

    祝嶺 美里, 佐山 杏子, 山神 彰, 堀 里子, 古堅 彩子

    日本薬学会第146年会, 

    2026.03
    , 

    Poster presentation

  • 第5回 臨床研究プレゼンテーション（２）観察研究その他；作成と発表

    山神彰, 山田武宏

    北海道科学大学［臨床研究入門］薬剤師スキルアップ講座, 

    2026.01
    , 

    Public lecture, seminar, tutorial, course, or other speech

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • Oral Hypofunction and Incident Type 2 Diabetes: Causal Inference and Risk Prediction with Integrated Dental-Medical Data

    2026.04
    -
    2029.03

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Early-Career Scientists, Principal investigator

  • Integration of Dental Big Data and Salivary Biomarkers for the Development of a Predictive Model of Post-Extraction Infections

    2025.07
    -
    2027.03

    Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Research Activity Start-up, Principal investigator

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Awards 【 Display / hide 】

  • 2026 Postdoctoral Award

    Yamagami Akira, 2026.06, Japanese Society of Pharmaceutical Health Care and Sciences, 口腔外科手術における新たな予防的抗菌薬投与戦略の開発

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Courses Taught 【 Display / hide 】

  • PRE-CLINICAL TRAINING FOR HOSPITAL & COMMUNITY PHARMACY

    2026

  • PHARMACEUTICAL-ENGLISH SEMINAR

    2026

  • INNOVATIONS IN DIGITAL HEALTH AND FUTURE HEALTHCARE

    2026

  • RESEARCH FOR BACHELOR'S THESIS 1

    2026

  • PRE-CLINICAL TRAINING IN PRESCRIPTION PROCESSING FOR HOSPITAL & COMMUNITY PHARMACY

    2026

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Courses Previously Taught 【 Display / hide 】

  • INNOVATIONS IN DIGITAL HEALTH AND FUTURE HEALTHCARE

    Keio University

    2025.04
    -
    Present

  • Pharmacy Practice

    Keio University

    2024.12
    -
    Present

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Memberships in Academic Societies 【 Display / hide 】

  • Japanese Society of Geriatric Pharmacy, 

    2026.03
    -
    Present

  • Japanese Society for Infection Prevention and Control, 

    2025.10
    -
    Present

  • Japanese Society for Pharmacoepidemiology, 

    2025.09
    -
    Present

  • The Pharmaceutical Society of Japan, 

    2025.04
    -
    Present

  • The Japanese Society of Oral Care, 

    2025.04
    -
    Present

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