Key result
A new 5-factor predictive model for acute gastrointestinal bleeding in anticoagulated patients demonstrated a c-statistic of 0.65, superior to the HAS-BLED score (c-statistic 0.57).
Why the study?
Does a new five-factor predictive model improve the prediction of acute gastrointestinal bleeding compared to the HAS-BLED score in patients taking oral anticoagulants?
Population
508 patients taking oral anticoagulants (66 direct oral anticoagulants users and 442 warfarin users)
Comparison
New predictive model for acute gastrointestinal… vs HAS-BLED score
Design
Cohort
Follow-up
median 31.4 months
Authors
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Offers a modestly improved, OAC-specific tool for GI bleeding risk stratification; leaves open whether clinical.
Cohort (n=508)
Does a new five-factor predictive model improve the prediction of acute gastrointestinal bleeding compared to the HAS-BLED score in patients taking oral anticoagulants?
Absolute Event Rate: 0.65% vs 0.57%
p-value: p=<0.001
A new five-factor clinical model outperformed the HAS-BLED score in predicting long-term gastrointestinal bleeding risk in patients receiving oral anticoagulants.
Shimomura et al. (2017) conducted a cohort in Patients taking oral anticoagulants (n=508). New 5-factor predictive model for acute GI bleeding vs. HAS-BLED score was evaluated on Predictive accuracy for acute gastrointestinal bleeding (c-statistic) (p=<0.001). A new 5-factor predictive model for acute gastrointestinal bleeding in anticoagulated patients demonstrated a c-statistic of 0.65, superior to the HAS-BLED score (c-statistic 0.57).
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