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Evaluation of different scoring systems in the prediction of complications, morbidity, and mortality after laparoscopic radical gastrectomy.
He, Haoyu; Liu, Yubiao; Liu, Xin; Zhang, Zhaoxiong; Wang, Daohan; Fu, Weihua.
Afiliación
  • He H; Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
  • Liu Y; Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
  • Liu X; Department of Anorectal Surgery, Liaocheng People's Hospital, Liaocheng, Shandong, China.
  • Zhang Z; Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
  • Wang D; Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
  • Fu W; Department of General Surgery, Tianjin Medical University General Hospital, 154 Anshan Road, Tianjin, 300052, People's Republic of China.
World J Surg Oncol ; 21(1): 388, 2023 Dec 18.
Article en En | MEDLINE | ID: mdl-38110969
ABSTRACT

BACKGROUND:

This retrospective study aimed to assess the suitability of POSSUM and its modified versions, E-PASS and its modified score, SRS, and SORT scores for predicting postoperative complications and mortality in patients undergoing laparoscopic radical gastrectomy for gastric cancer. MATERIALS AND

METHODS:

Data analysis was performed on 349 patients who underwent laparoscopic radical gastrectomy at Tianjin Medical University General Hospital between January 2016 and December 2021. The discriminative ability of the scoring systems was evaluated using the area under the receiver operating characteristic curve (AUC). The primary endpoint focused on the prediction of postoperative complications, while the secondary endpoint assessed the prediction of postoperative mortality.

RESULTS:

Among the scoring systems evaluated, the modified E-PASS (mE-PASS) score exhibited the highest AUC (0.846) and demonstrated the highest sensitivity (81%) and specificity (79%) for predicting postoperative complications. All other scores, except for POSSUM, showed moderate discriminative ability in predicting complications. In terms of predicting postoperative mortality, the E-PASS score had the highest AUC (0.978), while the mE-PASS score displayed the highest sensitivity (76%) and specificity (90%). Notably, both E-PASS and mE-PASS scores exhibited excellent discriminative ability.

CONCLUSIONS:

The P-POSSUM, O-POSSUM, E-PASS, mE-PASS, SRS, and SORT scoring systems are useful tools for predicting postoperative outcomes in laparoscopic radical gastrectomy. Among them, the mE-PASS score demonstrated the best predictive power. However, the POSSUM system could only be applicable to predict postoperative mortality.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Laparoscopía / Gastrectomía Límite: Humans Idioma: En Revista: World J Surg Oncol Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Laparoscopía / Gastrectomía Límite: Humans Idioma: En Revista: World J Surg Oncol Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido