Risk Stratification in Cancer Patients with Acute Upper Gastrointestinal Bleeding: Comparison of Glasgow-Blatchford, Rockall and AIMS65, and Development of a New Scoring System
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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.
Abstract
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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