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Dataset Information

Predictive ability of scores for bleeding risk in heart disease outpatients on warfarin in Brazil.


ABSTRACT:

Introduction

Bleeding is a common complication in patients taking warfarin. We sought to compare the performance of nine prediction models for bleeding risk in warfarin-treated Brazilian outpatients.

Methods

The dataset was derived from a clinical trial conducted to evaluate the efficacy of an anticoagulation clinic at a public hospital in Brazil. Overall, 280 heart disease outpatients taking warfarin were enrolled. The prediction models OBRI, Kuijer et al., Kearon et al., HEMORR2HAGES, Shireman et al., RIETE, HAS-BLED, ATRIA and ORBIT were compared to evaluate the overall model performance by Nagelkerke's R2 estimation, discriminative ability based on the concordance (c) statistic and calibration based on the Hosmer-Lemeshow goodness-of-fit statistic. The primary outcomes w

SUBMITTER: Oliveira JAQ 

PROVIDER: S-EPMC6195286 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature