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An Increase in Factor VIII Levels with Increasing Age in a Subgroup of Individuals with Mild Hemophilia A

2011· article· en· W2563868741 on OpenAlexaffabout
Lauren J. Lee, John K. Wu, Man‐Chiu Poon, Shannon Jackson

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsSt. Paul's HospitalUniversity of CalgaryBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineCohortMedical recordInternal medicineRetrospective cohort studyPediatricsThrombosis

Abstract

fetched live from OpenAlex

Abstract Abstract 2278 Background: Hemophilia A is an X-linked hereditary disorder resulting in absent or reduced levels of functional factor VIII (FVIII:C). The baseline FVIII:C levels are important in the determination of treatment and management options in individuals with mild hemophilia who by definition exhibit FVIII:C levels between 6–40 U/dL. In individuals without hemophilia, FVIII:C increases with physiological age and this trend has not been well characterized in mild hemophilia. This is important to consider in mild hemophilia because treatment with factor concentrate or DDAVP may paradoxically increase the risk of venous or arterial thrombosis in older patients. Objectives: To describe the changes in baseline FVIII:C levels with time in a cohort of pediatric and adult subjects with mild hemophilia registered in the British Columbia Provincial and Southern Alberta Bleeding Disorder programs. Methods: All medical records for subjects with FVIII:C levels 6–40 U/dL registered with the BC Provincial and Southern Alberta Bleeding Disorder programs were reviewed for eligibility. Male subjects with a minimum of 2 FVIII:C level measurements at least 5 years apart were included in the analysis. Retrospective data was extracted from database/medical records, including age, gender, blood group, FVIII mutation, historical FVIII:C levels, historical DDAVP response (>3 fold and/or >50 U/dL), and co-infection (Hepatitis C, B and HIV) status. Linear mixed effects regression models were used to examine time trend of FVIII:C levels and subjects were stratified into 3 groups based on baseline FVIII:C (FVIII:C<15 U/dL, 15–24 U/dL, and ≥25 U/dL). Results: 198 records were reviewed and 116 subjects excluded from the analysis (chart unavailable, n=28; inadequate FVIII:C data, n=79; female, n=9) leaving 82 subjects who met eligibility criteria. The mean age at first FVIII:C measurement was 24.0 years (SD 19.6; Range 0.0–77.8). The mean follow-up time was 16.5 years (SD 19.6; Range 4.8–44.8). There was no observable trend of FVIII:C with time in the primary analysis of the whole cohort (p=0.667). However, for subjects with baseline FVIII:C<15 U/dL, who were ≥25 years of age (n=31), an increase in baseline FVIII:C levels of 0.11 percent per year (p<0.05) was observed. Subjects with baseline FVIII:C<15 U/dL (n=40) also showed less FVIII:C variability between measurements than subjects with FVIII:C≥15 U/dL (n=42). Subjects with baseline FVIII:C≥25 U/dL (n=18) demonstrated a decreasing trend of −0.15 percent per year (p<0.05), however also demonstrated the greatest variability between FVIII:C measurements. Co-infections were present in 24% (n=20) of subjects and included Hepatitis C (n=18), Hepatitis B (n=1), HIV (n=1). 73 subjects had known DDAVP response; >3-fold but ≤50 U/dL (n=11), ≤3-fold but >50 U/dL (n=15), >3-fold & >50 U/dL (n=23), ≤3-fold & ≤50 U/dL (n=24). Conclusion: This study suggests that there is an increase in FVIII:C with time in the subgroup of individuals with mild hemophilia ≥25 years of age and baseline FVIII:C levels <15 U/dL. Further long-term data particularly in the older cohort of subjects is needed to confirm this preliminary finding and further characterize this trend in subgroups with different baseline FVIII:C. Disclosures: No relevant conflicts of interest to declare.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.295
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2011
Admission routes2
Has abstractyes

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