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Are Scoring Systems Useful in Predicting Mortality from Upper GI Bleeding in Geriatric Patients?
Mustafa Zanyar Akkuzu1, Berat Ebik1
1Department of Gastroenterology, Diyarbakır Gazi Yasargil Education and Research Hospital, University of Health Sciences, Diyarbakır 21070, Turkey.
In-hospital mortality for geriatric patients with upper GI bleeding is high, particularly due to sepsis and malignancy. AIMS65 and Rockall scores effectively predict mortality risk in these high-risk individuals.
Area of Science:
- Geriatric Medicine
- Gastroenterology
- Clinical Epidemiology
Background:
- Upper gastrointestinal (GI) bleeding poses a significant risk to elderly patients with comorbidities.
- Determining mortality rates and predictive factors is crucial for managing this vulnerable population.
Purpose of the Study:
- To ascertain the in-hospital mortality rate of geriatric patients experiencing upper GI bleeding.
- To identify effective cut-off values for AIMS65 and Rockall scores in predicting high-risk patients.
- To evaluate the influence of oral anticoagulant and NSAID use on mortality.
Main Methods:
- A retrospective cohort study involving 64 geriatric patients (≥60 years) with comorbidities admitted for upper GI bleeding.
- Calculation of AIMS65 and Rockall scores for all participants.
- Statistical analysis including ROC analysis and Kaplan-Meier survival curves to assess score efficacy and medication impact.
Main Results:
- In-hospital mortality was 18.7%. Sepsis, malignancy, and heart failure were significant predictors of mortality.
- AIMS65 score ≥ 2 (AUC=0.920) and Rockall score ≥ 6 (AUC=0.822) demonstrated high sensitivity and effectiveness in predicting mortality.
- No significant association was found between mortality and the use of oral anticoagulants or NSAIDs.
Conclusions:
- Upper GI bleeding in elderly patients with comorbidities carries a high in-hospital mortality rate, primarily driven by sepsis, malignancy, and heart failure.
- AIMS65 and Rockall scores are valuable tools for predicting mortality, potentially enabling earlier interventions.
- The study highlights the need for multicenter validation due to the small, high-risk cohort.
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