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자료유형
학술저널
저자정보
Matheus Cavalcante Franco (Hospital Sírio-Libanês Brasília Distrito Federal Brazil) Sunguk Jang (Department of Gastroenterology and Hepatology Cleveland Clinic Cleveland Ohio USA) Bruno da Costa Martins (Endoscopy Unit Cancer Institute of the University of São Paulo São Paulo Brazil) Tyler Stevens (Department of Gastroenterology and Hepatology Cleveland Clinic Cleveland Ohio USA) Vipul Jairath (Western University London ON Canada) Rocio Lopez (Department of Gastroenterology and Hepatology Cleveland Clinic Cleveland Ohio USA) John J. Vargo (Department of Gastroenterology and Hepatology Cleveland Clinic Cleveland Ohio USA) Alan Barkun (Division of Gastroenterology, McGill University and the McGill University Health Centre, Montreal,) Fauze Maluf-Filho (Endoscopy Unit Cancer Institute of the University of São Paulo São Paulo Brazil)
저널정보
대한소화기내시경학회 Clinical Endoscopy Clinical Endoscopy 제55권 제2호
발행연도
2022.3
수록면
240 - 247 (8page)
DOI
10.5946/ce.2021.115

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Background/Aims: Few studies have measured the accuracy of prognostic scores for upper gastrointestinal bleeding (UGIB)among cancer patients. Thereby, we compared the prognostic scores for predicting major outcomes in cancer patients with UGIB. Secondarily, we developed a new model to detect patients who might require hemostatic care. Methods: A prospective research was performed in a tertiary hospital by enrolling cancer patients admitted with UGIB. Clinical andendoscopic findings were obtained through a prospective database. Multiple logistic regression analysis was performed to gauge thepower of each score. Results: From April 2015 to May 2016, 243 patients met the inclusion criteria. The AIMS65 (area under the curve [AUC] 0.85) bestpredicted intensive care unit admission, while the Glasgow-Blatchford score best predicted blood transfusion (AUC 0.82) and thelow-risk group (AUC 0.92). All scores failed to predict hemostatic therapy and rebleeding. The new score was superior (AUC 0.74)in predicting hemostatic therapy. The AIMS65 (AUC 0.84) best predicted in-hospital mortality. Conclusions: The scoring systems for prognostication were validated in the group of cancer patients with UGIB. A new score wasdeveloped to predict hemostatic therapy. Following this result, future prospective research should be performed to validate the newscore.

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