2018
DOI: 10.18203/2349-3933.ijam20182391
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Comparison of prediction of outcomes in upper GI bleed using non-endoscopic scoring systems

Abstract: Background: Several scoring systems have been designed for risk stratification and prediction of outcomes in upper GI bleed. Endoscopy plays a major role in the diagnostic and therapeutic management of UGIB patients. However not all patients with UGIB need endoscopy. The objective of the present study was compared the prediction of mortality using different scoring systems in patients with upper GI bleed. A decision tool with a high sensitivity would be able to identify high and low risk patients and for judic… Show more

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Cited by 4 publications
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“…Furthermore, recognizing elderly patients with UGIB who are at minimum risk for adverse outcomes means they can be discharged earlier and in safer conditions, leading to a reduction in health, social, and economic costs. [12] The Charlson comorbidity index (CCI) is a reliable method of measuring comorbidity based on a history of concomitant diseases such as tumoral disorders, renal failure, cerebrovascular disease, coronary artery disease, peripheral vascular disease, liver disease, renal failure hemiplegia, diabetes mellitus, ulcer disease, and acquired immunodeficiency syndrome (AIDS). [13][14][15][16] It is a method of predicting mortality by classifying or weighting these comorbid disease conditions and has been utilized by healthcare providers to estimate the severity of the disease and case mix.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, recognizing elderly patients with UGIB who are at minimum risk for adverse outcomes means they can be discharged earlier and in safer conditions, leading to a reduction in health, social, and economic costs. [12] The Charlson comorbidity index (CCI) is a reliable method of measuring comorbidity based on a history of concomitant diseases such as tumoral disorders, renal failure, cerebrovascular disease, coronary artery disease, peripheral vascular disease, liver disease, renal failure hemiplegia, diabetes mellitus, ulcer disease, and acquired immunodeficiency syndrome (AIDS). [13][14][15][16] It is a method of predicting mortality by classifying or weighting these comorbid disease conditions and has been utilized by healthcare providers to estimate the severity of the disease and case mix.…”
Section: Introductionmentioning
confidence: 99%