Literature DB >> 32440807

Preoperative risk factors for postoperative intra-abdominal infectious complication after gastrectomy for gastric cancer using a Japanese web-based nationwide database.

Keiichi Fujiya1, Hiraku Kumamaru2, Yoshiyuki Fujiwara3, Hiroaki Miyata2, Akira Tsuburaya4, Yasuhiro Kodera5, Yuko Kitagawa6, Hiroyuki Konno7, Masanori Terashima8.   

Abstract

BACKGROUND: Postoperative intra-abdominal infectious complication (PIIC) after gastrectomy for gastric cancer worsens in-hospital death or long-term survival. However, the methodology for PIIC preoperative risk assessment remains unestablished. We aimed to develop a preoperative risk model for postgastrectomy PIIC.
METHODS: We collected 183,936 patients' data on distal or total gastrectomy performed in 2013-2016 for gastric cancer from the Japanese National Clinical Database and divided into development (2013-2015; n = 140,558) and validation (2016; n = 43,378) cohort. The primary outcome was the incidence of PIIC. The risk model for PIIC was developed using 18 preoperative factors: age, sex, body mass index, activities of daily living, 12 comorbidity types, gastric cancer stage, and surgical procedure in the development cohort. Secondarily, we developed another model based on the new scoring system for clinical use using selected factors.
RESULTS: The overall incidence of PIIC was 4.7%, including 2.6%, 1.7%, and 1.3% in anastomotic leakage, pancreatic fistula, and intra-abdominal abscess, respectively. Among the 18 preoperative factors, male [odds ratio, (OR) 1.92], obesity (OR, 1.52-1.96), peripheral vascular disease (OR, 1.55), steroid use (OR, 1.83), and total gastrectomy (OR, 1.89) strongly correlated with PIIC incidence. The entire model using the 18 factors had good discrimination and calibration in the validation cohort. We selected eight relevant factors to create a simple scoring system, using which we categorized the patients into three risk groups, which showed good calibration.
CONCLUSION: Using nationwide clinical practice data, we created a preoperative risk model for postgastrectomy PIIC for gastric cancer.

Entities:  

Keywords:  Anastomotic leakage; Gastrectomy; National clinical database; Pancreatic fistula; Risk model

Year:  2020        PMID: 32440807     DOI: 10.1007/s10120-020-01083-3

Source DB:  PubMed          Journal:  Gastric Cancer        ISSN: 1436-3291            Impact factor:   7.370


  1 in total

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Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

  1 in total
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Authors:  Tsuneyuki Uchida; Ryuichi Sekine; Kenichi Matsuo; Gaku Kigawa; Takahiro Umemoto; Kuniya Tanaka
Journal:  Surg Endosc       Date:  2022-07-15       Impact factor: 3.453

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Journal:  Surg Endosc       Date:  2022-03-16       Impact factor: 3.453

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Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

4.  Surgical outcomes in gastroenterological surgery in Japan: Report of the National Clinical Database 2011-2019.

Authors:  Shigeru Marubashi; Arata Takahashi; Yoshihiro Kakeji; Hiroshi Hasegawa; Hideki Ueno; Susumu Eguchi; Itaru Endo; Takanori Goi; Akio Saiura; Akira Sasaki; Shuji Takiguchi; Hiroya Takeuchi; Chie Tanaka; Masaji Hashimoto; Naoki Hiki; Akihiko Horiguchi; Tadahiko Masaki; Kazuhiro Yoshida; Mitsukazu Gotoh; Hiroyuki Konno; Hiroyuki Yamamoto; Hiroaki Miyata; Yasuyuki Seto; Yuko Kitagawa
Journal:  Ann Gastroenterol Surg       Date:  2021-04-09

5.  Meta-Analysis of the Effects of Three-Dimensional Visualized Medical Techniques Hepatectomy for Liver Cancer with and without the Treatment of Sorafenib.

Authors:  Lei Zeng; Yuming Zhu; Peng Guo
Journal:  Evid Based Complement Alternat Med       Date:  2022-09-13       Impact factor: 2.650

  5 in total

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