直近一年間の累計
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ID 115411
タイトル別表記
Prediction of anastomotic leakage
著者
Sohda, Makoto Gunma University
Saito, Hideyuki Gunma University
Kumakura, Yuji Gunma University
Honjyo, Hiroaki Gunma University
Hara, Keigo Gunma University
Sakai, Makoto Gunma University
Miyazaki, Tatsuya Gunma University
Kanemoto, Masafumi Gunma University
Tobe, Masaru Gunma University
Hinohara, Hiroshi Gunma University
Saito, Shigeru Gunma University
Kuwano, Hiroyuki Gunma University
キーワード
Prediction of anastomotic leakage
Esophageal cancer
FloTrac system
資料タイプ
学術雑誌論文
抄録
Background : Anastomotic leakage after esophagectomy is significantly associated with more severe complications, such as sepsis and mortality. Early prediction for anastomotic leakage is usually difficult and needs to be treated rapidly. In the current study, we investigated the correlation between hemodynamic and several complications after esophagectomy in patients with esophageal cancer, using the FloTrac system. Materials and Methods : Between April 2013 and December 2014, 39 patients with a mean age of 66.6 ± 8.9 years underwent postoperative supervision using the FloTrac sensor / Vigileo monitoring system after curative surgery for esophageal cancer. We retrospectively evaluated the association between the number of aberrant cardiac index (CI) along with stroke volume variability (SVV) values and clinicopathological parameters of postoperative complications in this report. Results : There were significant positive correlations between the number of aberrant values of CI along with SVV and depth of invasion during pathological stage. Concerning major postoperative complications, there was a significant positive correlation between the number of aberrant values of CI and anastomotic leakage. Discussion: The hemodynamic change by employing the FloTrac system could predicts the complication of anastomotic leakage after esophagectomy. Adequate management of hemodynamic stability by utilizing it will reduce the complications of anastomotic leakage.
掲載誌名
The Journal of Medical Investigation
ISSN
13496867
13431420
cat書誌ID
AA11166929
出版者
Tokushima University Faculty of Medicine
67
3-4
開始ページ
240
終了ページ
245
並び順
240
発行日
2020-08
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版