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Dataset Information

Bleeding assessment tools to predict von Willebrand disease: Utility of individual bleeding symptoms.


ABSTRACT:

Background

Bleeding assessment is part of the diagnostic workup of von Willebrand disease (VWD). Bleeding assessment tools (BATs) have standardized obtaining this information but have been criticized because they are time consuming.

Objective

To use our legacy data to determine which questions from BATs are the strongest predictors of a VWD diagnosis.

Patients/methods

Bleeding score data from 3 different BATs were used. Patients aged <12 years were excluded. Questions on BATs relate to different bleeding symptoms, and each symptom is scored by severity. Scores for each symptom were sorted based on whether they indicated clinically significant bleeding, and nonsignificant scores were set as the reference category. Multivariable logistic regression was used to determine

SUBMITTER: Spradbrow J 

PROVIDER: S-EPMC6971303 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature