E-PASS scoring system serves as a predictor of short- and long-term outcomes in gastric cancer surgery.
Gastrectomy
Postoperative complication
Prognosis
Risk assessment
Journal
Surgery today
ISSN: 1436-2813
Titre abrégé: Surg Today
Pays: Japan
ID NLM: 9204360
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
12
07
2021
accepted:
15
09
2021
pubmed:
26
10
2021
medline:
28
5
2022
entrez:
25
10
2021
Statut:
ppublish
Résumé
This study aimed to evaluate the estimation of the physiological ability and surgical stress (E-PASS) scoring system for predicting the short- and long-term outcomes in gastric cancer (GC) surgery. We analyzed a multi-institutional dataset to study patients who underwent gastrectomy with a curative intent between 2010 and 2014. This study evaluated the associations between the optimal E-PASS score cutoff value and the following outcomes: (1) the incidence of postoperative complications in stage I-III GC patients and (2) the prognosis in stage II-III GC patients. A total of 2495 GC patients were included. A cutoff value of 0.419 was determined using the ROC curve analysis. Postoperative complications were observed more frequently in the E-PASS-high group than that in the E-PASS-low group (30% vs. 17%, p < 0.0001). Among pStage II-III GC patients (n = 1009), the overall survival time of the E-PASS-high group was significantly shorter than that of the E-PASS-low group (hazard ratio 2.08; 95% confidence interval 1.64-2.65; p < 0.0001). A forest plot revealed that E-PASS-high was associated with a greater prognostic factor for overall survival in most subgroups. The E-PASS scoring system may therefore be a useful predictor of the short- and long-term outcomes in patients with GC who have undergone radical gastrectomy.
Identifiants
pubmed: 34694494
doi: 10.1007/s00595-021-02394-3
pii: 10.1007/s00595-021-02394-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
914-922Informations de copyright
© 2021. Springer Nature Singapore Pte Ltd.
Références
Persiani R, Antonacci V, Biondi A, Rausei S, La Greca A, Zoccali M, et al. Determinants of surgical morbidity in gastric cancer treatment. J Am Coll Surg. 2008;207:13–9.
doi: 10.1016/j.jamcollsurg.2007.12.050
Park DJ, Lee HJ, Kim HH, Yang HK, Lee KU, Choe KJ. Predictors of operative morbidity and mortality in gastric cancer surgery. Br J Surg. 2005;92:1099–102.
doi: 10.1002/bjs.4952
Kanda M, Ito S, Mochizuki Y, Teramoto H, Ishigure K, Murai T, et al. Multi-institutional analysis of the prognostic significance of postoperative complications after curative resection for gastric cancer. Cancer Med. 2019;8:5194–201.
doi: 10.1002/cam4.2439
Kurita N, Miyata H, Gotoh M, Shimada M, Imura S, Kimura W, et al. Risk model for distal gastrectomy when treating gastric cancer on the basis of data from 33,917 Japanese patients collected using a nationwide web-based data entry system. Ann Surg. 2015;262:295–303.
doi: 10.1097/SLA.0000000000001127
Nakanishi K, Kanda M, Kodera Y. Long-lasting discussion: adverse effects of intraoperative blood loss and allogeneic transfusion on prognosis of patients with gastric cancer. World J Gastroenterol. 2019;25:2743–51.
doi: 10.3748/wjg.v25.i22.2743
Wang X, Yao Y, Qian H, Li H, Zhu X. Longer operating time during gastrectomy has adverse effects on short-term surgical outcomes. J Surg Res. 2019;243:151–9.
doi: 10.1016/j.jss.2019.05.021
Nakanishi K, Kanda M, Ito S, Mochizuki Y, Teramoto H, Ishigure K, et al. Propensity-score-matched analysis of a multi-institutional dataset to compare postoperative complications between Billroth I and Roux-en-Y reconstructions after distal gastrectomy. Gastric Cancer. 2020;23:734–45.
doi: 10.1007/s10120-020-01048-6
Kanda M. Preoperative predictors of postoperative complications after gastric cancer resection. Surg Today. 2020;50:3–11.
doi: 10.1007/s00595-019-01877-8
Nakanishi K, Kanda M, Ito S, Mochizuki Y, Teramoto H, Ishigure K, et al. Delay in initiation of postoperative adjuvant chemotherapy with S-1 monotherapy and prognosis for gastric cancer patients: analysis of a multi-institutional dataset. Gastric Cancer. 2019;22:1215–25.
doi: 10.1007/s10120-019-00961-9
Kanda M, Suh YS, Park DJ, Tanaka C, Ahn SH, Kong SH, et al. Serum levels of ANOS1 serve as a diagnostic biomarker of gastric cancer: a prospective multicenter observational study. Gastric Cancer. 2020;23:203–11.
doi: 10.1007/s10120-019-00995-z
Nakanishi K, Kanda M, Umeda S, Tanaka C, Kobayashi D, Hayashi M, et al. The levels of SYT13 and CEA mRNAs in peritoneal lavages predict the peritoneal recurrence of gastric cancer. Gastric Cancer. 2019;22:1143–52.
doi: 10.1007/s10120-019-00967-3
Kitano Y, Iwatsuki M, Kurashige J, Kuroda D, Kosumi K, Baba Y, et al. Estimation of Physiologic Ability and Surgical Stress (E-PASS) versus modified E-PASS for prediction of postoperative complications in elderly patients who undergo gastrectomy for gastric cancer. Int J Clin Oncol. 2017;22:80–7.
doi: 10.1007/s10147-016-1028-3
Haga Y, Wada Y, Takeuchi H, Ikejiri K, Ikenaga M, Kimura O. Evaluation of modified estimation of physiologic ability and surgical stress in gastric carcinoma surgery. Gastric Cancer. 2012;15:7–14.
doi: 10.1007/s10120-011-0052-2
Ariake K, Ueno T, Takahashi M, Goto S, Sato S, Akada M, et al. E-PASS comprehensive risk score is a good predictor of postsurgical mortality from comorbid disease in elderly gastric cancer patients. J Surg Oncol. 2014;109:586–92.
doi: 10.1002/jso.23542
Murakami Y, Saito H, Shimizu S, Kono Y, Shishido Y, Miyatani K, et al. Evaluation of the estimation of physiologic ability and surgical stress score as a prognostic indicator for older patients with gastric cancer. Dig Surg. 2020;37:171–8.
doi: 10.1159/000497457
Takahashi R, Nunobe S, Makuuchi R, Ida S, Kumagai K, Ohashi M, et al. Survival outcomes of elderly patients with pathological stages II and III gastric cancer following curative gastrectomy. Ann Gastroenterol Surg. 2020;4:433–40.
doi: 10.1002/ags3.12339
Haga Y, Ikei S, Ogawa M. Estimation of Physiologic Ability and Surgical Stress (E-PASS) as a new prediction scoring system for postoperative morbidity and mortality following elective gastrointestinal surgery. Surg Today. 1999;29:219–25.
doi: 10.1007/BF02483010
Haga Y, Wada Y, Takeuchi H, Ikejiri K, Ikenaga M. Prediction of anastomotic leak and its prognosis in digestive surgery. World J Surg. 2011;35:716–22.
doi: 10.1007/s00268-010-0922-5
Asociation JGC. Japanese classification of gastric carcinoma. 15th ed. Tokyo: Kanehara Publisher; 2017.
Japanese Gastric Cancer Association. Japanese gastric cancer treatment guidelines 2014 (ver. 4). Gastric Cancer. 2017;20:1–19.
doi: 10.1007/s10120-016-0622-4
Japanese Gastric Cancer Association. Japanese gastric cancer treatment guidelines 2018 (5th edition). Gastric Cancer. 2021;24:1–21.
doi: 10.1007/s10120-020-01042-y
Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240:205–13.
doi: 10.1097/01.sla.0000133083.54934.ae
Clavien PA, Barkun J, de Oliveira ML, Vauthey JN, Dindo D, Schulick RD, et al. The Clavien-Dindo classification of surgical complications: five-year experience. Ann Surg. 2009;250:187–96.
doi: 10.1097/SLA.0b013e3181b13ca2
Yamamoto M, Saito H, Uejima C, Tanio A, Tada Y, Matsunaga T, et al. Estimation of physiological ability and surgical stress score is a useful prognostic indicator for elderly patients with colorectal cancer. Dig Surg. 2020;37:145–53.
doi: 10.1159/000497455
Nakanishi K, Kanda M, Sakamoto J, Kodera Y. Is the measurement of drain amylase content useful for predicting pancreas-related complications after gastrectomy with systematic lymphadenectomy? World J Gastroenterol. 2020;26:1594–600.
doi: 10.3748/wjg.v26.i14.1594
Miki Y, Makuuchi R, Tokunaga M, Tanizawa Y, Bando E, Kawamura T, et al. Risk factors for postoperative pneumonia after gastrectomy for gastric cancer. Surg Today. 2016;46:552–6.
doi: 10.1007/s00595-015-1201-8
Shoka M, Kanda M, Ito S, Mochizuki Y, Teramoto H, Ishigure K, et al. Systemic inflammation score as a predictor of pneumonia after radical resection of gastric cancer: analysis of a multi-institutional dataset. Dig Surg. 2020;37:401–10.
doi: 10.1159/000506940