Performance of Three Scoring Systems in Predicting Massive Transfusion in Patients with Unstable Upper Gastrointestinal Hemorrhage
Yonsei med. j
; Yonsei med. j;: 368-374, 2019.
Article
em En
| WPRIM
| ID: wpr-742546
Biblioteca responsável:
WPRO
ABSTRACT
PURPOSE: After trauma and surgery, upper gastrointestinal bleeding (UGIB) is the most common condition that can require massive transfusion (MT). The present study aimed to analyze and compare the prognostic performance of the Glasgow-Blatchford (GB), pre-endoscopy Rockall (PER), and modified early warning (MEW) scores for predicting MT in patients with unstable UGIB. MATERIALS AND METHODS: This retrospective observational study included patients with UGIB from March 2016 to February 2018. Receiver operating characteristics analysis was performed to examine the prognostic performance of the GB, PER, and MEW scoring systems. Logistic regression analysis was used to identify independent risk factors for MT, after adjusting for relevant covariates. The primary outcome was MT. RESULTS: Of the 484 included patients with unstable UGIB, 19 (3.9%) received an MT. The areas under the curves (AUCs) of the GB, PER, and MEW scores for MT were 0.577 [95% confidence interval (CI), 0.531–0.621], 0.570 (95% CI, 0.525–0.615), and 0.767 (95% CI, 0.727–0.804), respectively. The AUC of the MEW score was significantly different from those of the GB and PER scores. In multivariate analysis, MEW score was independently associated with MT in patients with unstable UGIB (odds ratio, 1.495; 95% CI, 1.100–2.033; p=0.010). CONCLUSION: In unstable UGIB patients, MEW score had the best prognostic performance for MT among three scoring systems.
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WPRIM
Assunto principal:
Modelos Logísticos
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Análise Multivariada
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Estudos Retrospectivos
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Fatores de Risco
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Curva ROC
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Área Sob a Curva
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Serviço Hospitalar de Emergência
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Estudo Observacional
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Hemorragia
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Hemorragia Gastrointestinal
Tipo de estudo:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Yonsei med. j
Ano de publicação:
2019
Tipo de documento:
Article