2021
DOI: 10.1007/s00535-021-01797-w
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A simple prediction score for in-hospital mortality in patients with nonvariceal upper gastrointestinal bleeding

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Cited by 20 publications
(40 citation statements)
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“…The score successfully discriminated patients with UGIB who were at risk for in-hospital mortality with an AUC of 0.90 for derivation cohort, and 0.81 for the validation cohort, and had had significantly higher discriminative ability than the GBS, cRS, AIMS65 score, and ABC score 14 . In addition, the CHAMPS score can be applied to patients with UGIB, irrespective of the status of hospitalization (outpatient onset and inpatient onset) 14 , although most of the previous scores could only be applied to the outpatient status at the development of UGIB 14 . Furthermore, since the CHAMPS score does not require endoscopic findings 14 , the score could be applied to not only patients with UGIB but also patients with LGIB.…”
Section: Introductionmentioning
confidence: 96%
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“…The score successfully discriminated patients with UGIB who were at risk for in-hospital mortality with an AUC of 0.90 for derivation cohort, and 0.81 for the validation cohort, and had had significantly higher discriminative ability than the GBS, cRS, AIMS65 score, and ABC score 14 . In addition, the CHAMPS score can be applied to patients with UGIB, irrespective of the status of hospitalization (outpatient onset and inpatient onset) 14 , although most of the previous scores could only be applied to the outpatient status at the development of UGIB 14 . Furthermore, since the CHAMPS score does not require endoscopic findings 14 , the score could be applied to not only patients with UGIB but also patients with LGIB.…”
Section: Introductionmentioning
confidence: 96%
“…We have recently developed a simple prediction score, the CHAMPS score using the clinical data of 2205 subjects with UGIB, to predict in-hospital mortality based on six easily available clinical variables 14 , 15 . The score successfully discriminated patients with UGIB who were at risk for in-hospital mortality with an AUC of 0.90 for derivation cohort, and 0.81 for the validation cohort, and had had significantly higher discriminative ability than the GBS, cRS, AIMS65 score, and ABC score 14 .…”
Section: Introductionmentioning
confidence: 99%
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“…Candidate variables with a difference of p < 0.2 in univariate analysis were entered into forward stepwise selection based on Akaike’s Information Criterion (AIC), and selected variables were analyzed by multivariate analysis. We allocated points proportional to β regression coefficient values for the predictive variables determined in the multivariate analysis as previously reported [ 44 , 45 ]. The coefficient of each variable was divided by the lowest β value among variables included into the final prediction model and rounded to the nearest integer.…”
Section: Methodsmentioning
confidence: 99%