Prediction of Postoperative Infection for Patients Undergoing Gastrointestinal Surgery : Findings from Electronic Health Records

Persistent ID (NDL): info:ndljp/pid/12263723

Material type: 博士論文

Author: Nakazawa, Kyoko

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Publication date: 2021-03-23

Material Format: Digital

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Name of awarding university/degree: 新潟大学,博士（医学）

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Note (General)：: Introduction: Postoperative infection is a major cause of morbidity and prolonged hospitalization in patients undergoing gastrointestinal surgery. Thi...

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Material Type: 博士論文
Title: Prediction of Postoperative Infection for Patients Undergoing Gastrointestinal Surgery : Findings from Electronic Health Records
Author/Editor: Nakazawa, Kyoko
Author Heading: Nakazawa, Kyoko
Publication Date: 2021-03-23
Publication Date (W3CDTF): 2021-03-23
Alternative Title: 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
Degree grantor/type: 新潟大学
Date Granted: 2021-03-23
Date Granted (W3CDTF): 2021-03-23
Dissertation Number: 甲第4860号
Degree Type: 博士（医学）
Conferring No. (Dissertation): 甲第4860号
Text Language Code: eng
Alias of Author: 中澤, 香子
Subject Heading: gastrointestinal surgery
postoperative infection
generalized estimating equation
surgical site infection
Target Audience: 一般
Note (General): 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.
Gastroenterology Insights. 2020, 11, 36-46.
新大院博(医)第1014号
Persistent ID (NDL): info:ndljp/pid/12263723
https://dl.ndl.go.jp/pid/12263723
Collection: 障害者向け資料
Collection (Materials For Handicapped People:1): テキストデータ
Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
https://dl.ndl.go.jp/collections/A00014
Acquisition Basis: 博士論文（自動収集）
Date Accepted (W3CDTF): 2022-05-09T11:57:37+09:00
Format (IMT): application/pdf
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Availability of remote photoduplication service: 可
Periodical Title (URI): http://hdl.handle.net/10191/0002000319
https://niigata-u.repo.nii.ac.jp/records/2000319
Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション
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