Evidence map›Paper›PMID 41679506›Full record

Observational studyJournal of thrombosis and haemostasis : JTH2026

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

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

Abstract readObservational Study
In one paragraph

Observational study in Journal of thrombosis and haemostasis : JTH, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Peter H CyganDivision of Blood and Vascular Disorders, Department of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA. Electronic address: pcygan@pennstatehealth.psu.edu.
Elizabeth A WeidmanDivision of Blood and Vascular Disorders, Department of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA.
Xi WangDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Lan KongDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA.
M Elaine EysterDivision of Blood and Vascular Disorders, Department of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA.
Laura CarrelDepartment of Molecular and Precision Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA.

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Abnormal Bleeding Risk in Female Hemophilia A CarriersK08HL159314 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI CYGAN, PETER H · 2021 to 2025
$863k
NCATS NIH HHS UL1 TR002014NHLBI NIH HHS K08 HL159314
6 · The paper itself

Abstract

backgroundAlthough bleeding phenotypes and factor (F)VIII activity (FVIII:C) in men with hemophilia A correlate highly with F8 mutations, FVIII:C in female HA carriers is more variable due to mosaicism arising from a second wild-type F8 allele and X-chromosome inactivation (XCI). Conventionally, only female HA carriers with low FVIII:C were considered at risk for bleeding. However, hemostatic FVIII:C levels in females remain unestablished. Moreover, HA carriers with normal FVIII:C levels can also have reproductive tract and other bleeding sequelae.

objectivesWe sought to develop a statistical model for predicting abnormal bleeding risk.

methodsPotential HA carriers were enrolled in an observational cross-sectional study. F8 genotyping confirmed the carrier status. Bleeding severity was quantified by bleeding assessment tools. FVIII levels were assessed using 1-stage and chromogenic activity assays, as well as FVIII antigen ELISA. XCI skewing was also quantified. Logistic regression analyses were performed to determine the relationship between abnormal bleeding score and covariates.

resultsOf 92 adult females, 62 were confirmed F8 mutation carriers; 55% of HA carriers had abnormal bleeding (Condensed Molecular and Clinical Markers for the Diagnosis and Management of Type 1 VWD Bleeding Questionnaire 1 score ≥ 4), despite only 19% with FVIII:C < 40%. Logistic regression modeling incorporating XCI skewing, FVIII antigen, and activity performed better than those with FVIII:C alone. Highest model performance was seen for carriers with nonsevere F8 mutations.

conclusionBleeding 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.

Indexed as

Blood CoagulationFactor VIIIHemophilia AHemorrhageHeterozygoteMutationAdultCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseHumansLogistic ModelsMiddle AgedPhenotypePredictive Value of TestsRisk AssessmentF8 protein, humanFactor VIIIbleedingfactor VIIIfemalehemophilia AX chromosome

Identifiers

PMID41679506
PMCPMC13033278

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.