S
Satoshi Ikei
Researcher at Kumamoto University
Publications - 32
Citations - 1354
Satoshi Ikei is an academic researcher from Kumamoto University. The author has contributed to research in topics: Pancreatitis & Acute pancreatitis. The author has an hindex of 17, co-authored 32 publications receiving 1303 citations.
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Journal ArticleDOI
Elevation of Circulating Interleukin 6 After Surgery: Factors Influencing the Serum Level
Kiyoshi Sakamoto,Hirofumi Arakawa,Seiji Mita,Takatoshi Ishiko,Satoshi Ikei,Hiroshi Egami,Saburo Hisano,Michio Ogawa +7 more
TL;DR: The peak concentration of serum IL-6 in patients undergoing esophagectomy was significantly higher than in those undergoing pancreaticoduodenectomy, despite a similar degree of surgical trauma defined by the operation length and volume of blood loss during surgery.
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Estimation of Physiologic Ability and Surgical Stress (E-PASS) as a new prediction scoring system for postoperative morbidity and mortality following elective gastrointestinal surgery
TL;DR: The results suggest that the E-PASS scoring system is reproducible, and that it may be useful for surgical decision making.
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Systemic inflammatory response syndrome and organ dysfunction following gastrointestinal surgery.
TL;DR: SIRS is a useful criterion for the recognition of postoperative complications and end-organ dysfunctions and early recovery from SIRS may arrest the progression of organ dysfunction.
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Relationship Between Plasma Cytokine Concentration and Multiple Organ Failure in Patients with Acute Pancreatitis
Masahiko Hirota,Fumiaki Nozawa,Akihiro Okabe,Muneyuki Shibata,Toru Beppu,Shinya Shimada,Hiroshi Egami,Yasuo Yamaguchi,Satoshi Ikei,Kenji Okajima,Kazufumi Okamoto,Michio Ogawa +11 more
TL;DR: The results suggest that the plasma concentrations of sTNF-Rs are useful predictors for the development of MOF, and actions of TNF-&agr; and IL-1&bgr; could be regulated by their modulators in the pathologic condition of severe acute pancreatitis.
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Evaluation of an Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict postoperative risk: a multicenter prospective study.
Yoshio Haga,Satoshi Ikei,Yasuo Wada,Hitoshi Takeuchi,Hirofumi Sameshima,Osamu Kimura,Takumi Furuya +6 more
TL;DR: It is suggested that E-PASS may be useful for predicting postsurgical risk, estimating medical expense, and comparing surgical quality.