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消化器外科手術患者における術後感染の発症予測 : 電子カルテ情報を用いた知見
http://hdl.handle.net/10191/0002000319
http://hdl.handle.net/10191/0002000319eafaee53-8fa4-48bf-be05-cbe6dc001c5f
名前 / ファイル | ライセンス | アクション |
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||||||
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公開日 | 2022-04-04 | |||||||||
タイトル | ||||||||||
タイトル | Prediction of Postoperative Infection for Patients Undergoing Gastrointestinal Surgery : Findings from Electronic Health Records | |||||||||
言語 | en | |||||||||
タイトル | ||||||||||
タイトル | 消化器外科手術患者における術後感染の発症予測 : 電子カルテ情報を用いた知見 | |||||||||
言語 | ja | |||||||||
言語 | ||||||||||
言語 | eng | |||||||||
キーワード | ||||||||||
言語 | en | |||||||||
主題Scheme | Other | |||||||||
主題 | gastrointestinal surgery | |||||||||
キーワード | ||||||||||
言語 | en | |||||||||
主題Scheme | Other | |||||||||
主題 | postoperative infection | |||||||||
キーワード | ||||||||||
言語 | en | |||||||||
主題Scheme | Other | |||||||||
主題 | generalized estimating equation | |||||||||
キーワード | ||||||||||
言語 | en | |||||||||
主題Scheme | Other | |||||||||
主題 | surgical site infection | |||||||||
資源タイプ | ||||||||||
資源 | http://purl.org/coar/resource_type/c_db06 | |||||||||
タイプ | doctoral thesis | |||||||||
アクセス権 | ||||||||||
アクセス権 | open access | |||||||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||
著者 |
中澤, 香子
× 中澤, 香子
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抄録 | ||||||||||
内容記述タイプ | Abstract | |||||||||
内容記述 | Introduction: Postoperative infection is a major cause of morbidity and prolonged hospitalization in patients undergoing gastrointestinal surgery. This observational study aimed to investigate the risk factors associated with postoperative infection and to develop a prediction model for postoperative infections that occur after gastrointestinal surgery. Methods: The study population comprised 1637 patients who underwent gastrointestinal surgery at Niigata University Medical and Dental Hospital between June 2013 and May 2017. Observational data from 1883 surgical procedures were used in the statistical analyses (including 198 patients who underwent several operations). Results: The generalized estimating equation (GEE) was used to detect significant risk factors, including older age, history of smoking, body temperature greater than 38℃, non-endoscopic surgical procedures, surgery in the thoracic or lower gastrointestinal tract, and use of medical nutritional products during surgery. The sensitivity and specificity of the GEE model were 88.2% and 55.1%, respectively. Conclusion: This study established a predictable GEE model, incorporating the data of patients who were hospitalized several times into a prediction analysis, even though the sensitivity was not sufficiently high. The GEE model, which is considered clinically useful, can be constructed using a variety of variables, including those obtained from electronic health records. | |||||||||
言語 | en | |||||||||
内容記述 | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | Gastroenterology Insights. 2020, 11, 36-46. | |||||||||
言語 | en | |||||||||
DOI | ||||||||||
識別子タイプ | DOI | |||||||||
関連識別子 | https://doi.org/10.3390/gastroent11020007 | |||||||||
権利 | ||||||||||
言語 | en | |||||||||
権利情報Resource | Other | |||||||||
権利情報 | 【○!C】 2020 by the authors. | |||||||||
権利 | ||||||||||
言語 | en | |||||||||
権利情報Resource | https://creativecommons.org/licenses/by/4.0/ | |||||||||
権利情報 | Creative Commons Attribution 4.0 International | |||||||||
学位名 | ||||||||||
言語 | ja | |||||||||
学位名 | 博士(医学) | |||||||||
学位授与機関 | ||||||||||
学位授与機関識別子Scheme | kakenhi | |||||||||
学位授与機関識別子 | 13101 | |||||||||
言語 | ja | |||||||||
学位授与機関名 | 新潟大学 | |||||||||
言語 | en | |||||||||
学位授与機関名 | Niigata University | |||||||||
学位授与年月日 | ||||||||||
学位授与年月日 | 2021-03-23 | |||||||||
学位授与番号 | ||||||||||
学位授与番号 | 甲第4860号 | |||||||||
学位記番号 | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | 新大院博(医)第1014号 | |||||||||
言語 | ja |