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Published on: October 16, 2013
Comparison of Four Scoring Systems for Patients With Nonvariceal Upper Gastrointestinal Bleeding
Elrasheed M Elsabani1, Badr A Badr2, Mohammad Dhalaan3
1Hospital Medicine, Johns Hopkins Aramco Healthcare, Dhahran, SAU.
Insights
This study compared risk scores for upper gastrointestinal bleeding (UGIB). The Glasgow-Blatchford score (GBS) best predicted transfusions, while the National Early Warning Score (NEWS) predicted admissions and mortality.
Area of Science:
- Gastroenterology
- Critical Care Medicine
- Health Services Research
Background:
- Upper gastrointestinal bleeding (UGIB) is a significant cause of mortality and morbidity.
- Accurate risk stratification is essential for managing UGIB patients and allocating resources effectively.
- Existing risk assessment tools, including Glasgow-Blatchford score (GBS), AIMS65, National Early Warning Score (NEWS), and NEWS + Lactate (NEWS+L), have varying strengths and limitations.
Purpose of the Study:
- To evaluate and compare the predictive performance of GBS, AIMS65, NEWS, and NEWS+L for critical outcomes in nonvariceal upper GI bleeding (NVUGIB).
- To assess the accuracy of these scores in predicting the need for blood transfusion, inpatient admission, and 90-day mortality.
Main Methods:
- A retrospective review of 229 patients with NVUGIB was conducted.
- Demographic data, clinical presentation, laboratory values, and vital signs were collected.
- GBS, AIMS65, NEWS, and NEWS+L scores were calculated for each patient, and their predictive accuracy was assessed using receiver operating characteristic curves (AUCs).
Main Results:
- The Glasgow-Blatchford score (GBS) demonstrated the highest predictive accuracy for blood transfusion (AUC: 75.7%).
- The National Early Warning Score (NEWS) was the best predictor for inpatient admission (AUC: 84.04%).
- For 90-day mortality, NEWS and NEWS+L showed similar predictive performance (AUCs: 77.25% and 77.52%, respectively), outperforming GBS and AIMS65.
Conclusions:
- Each risk score possesses distinct predictive capabilities for specific outcomes in NVUGIB.
- GBS is most accurate for predicting transfusion needs, NEWS for admission, and NEWS/NEWS+L for mortality.
- Combining these scores may enhance risk stratification and guide targeted therapies, ultimately improving patient outcomes in UGIB.
Abstract:
Introduction Upper gastrointestinal bleeding (UGIB) is a common medical emergency that causes significant deaths and morbidity. Effective risk classification is crucial for clinical decision-making and resource allocation. Several risk assessments, including the Glasgow-Blatchford score (GBS), AIMS65, National Early Warning Score (NEWS), and National Early Warning Score + Lactate (NEWS+L), are widely used, but each has unique strengths and disadvantages. The purpose of this study is to examine the predictive performance of different scoring systems for critical outcomes, including blood transfusion requirements, inpatient admission, and 90-day mortality, in patients with nonvariceal upper GI bleeding (NVUGIB). Method We performed a retrospective review of 229 individuals who presented with nonvariceal upper GI hemorrhage. Baseline demographics, clinical presentations, laboratory values, and vital signs were gathered. For each patient, GBS, AIMS65, NEWS, and NEWS+L scores were calculated. The predictive accuracy of these scores for blood transfusion, inpatient admission, and 90-day mortality was evaluated using the area under the receiver operating characteristic curves (AUCs). Results The results show that the GBS had the highest predictive accuracy for blood transfusion (AUC: 75.7%), while NEWS was the best predictor for inpatient admission (AUC: 84.04%). For 90-day mortality, NEWS and NEWS+L performed similarly, with AUCs of 77.25% and 77.52%, respectively. AIMS65 demonstrated low predictive capacity across outcomes, although it was less successful than other ratings for specific outcomes. Conclusion Our results show that each risk score has distinct predictive strengths: GBS for transfusion, NEWS for admission, and NEWS/NEWS+L for mortality. Combining these scores may improve risk classification and direct-focused therapies, hence improving patient outcomes in UGIB.
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