Integrative modeling to improve bleeding risk prediction in adult female hemophilia A carriers

Bleeding tendency in HA carriers is common, yet FVIII:C predicts only 38% of those with abnormal bleeding. Logistic regression modeling is highly promising and demonstrates superior performance in predicting bleeding risk compared with baseline FVIII activity alone.

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Publication Details

Journal
Journal of Thrombosis and Haemostasis
Published
2026-02-01
DOI
https://doi.org/10.1016/j.jtha.2026.01.015
Primary Topic
Hemophilia Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrative modeling to improve bleeding risk prediction in adult female hemophilia A carriers

Elizabeth A. Weidman, Peter H. Cygan, Laura Carrel, M.Elaine Eyster et al.
Journal of Thrombosis and Haemostasis
Hemophilia Treatment and Research
article

Integrative modeling to improve bleeding risk prediction in adult female hemophilia A carriers

Elizabeth A. Weidman, Peter H. Cygan, Laura Carrel, M.Elaine Eyster, Xi Wang, Lan Kong
article en

Abstract

Bleeding tendency in HA carriers is common, yet FVIII:C predicts only 38% of those with abnormal bleeding. Logistic regression modeling is highly promising and demonstrates superior performance in predicting bleeding risk compared with baseline FVIII activity alone.

Journal of Thrombosis and Haemostasis
Pennsylvania State University (US), Penn State Milton S. Hershey Medical Center (US)
Openalex Percentile: Top 59%
Hemophilia Treatment and Research
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