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Impact of Exercise on Hemostasis in Boys with Hemophilia a (HA) and B (HB): Principal Findings of the Sickkids Hemophilia Exercise Study

2014· article· en· W187016892 on OpenAlexaff
Riten Kumar, Vanessa Bouskill, Walter H.A. Kahr, Allison Craik, Fred G. Pluthero, Jane E. Schneiderman, Dewi Clark, Kharen Whitney, Christine Zhang, Margaret L. Rand, Manuel Carção

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineThromboelastographyHemostasisInternal medicineCohortPlateletPhysical therapy

Abstract

fetched live from OpenAlex

Abstract Introduction. We undertook a study to assess the impact of exercise on hemostatic parameters [FVIII, FIX, VWF, platelet count and function, thrombin generation time (TGT) and thromboelastography (TEG)] in boys with HA and HB. We did so to explore the hypothesis that subjects with non-severe HA and all subjects with HB would show an increase in platelet count, VWF and FVIII with exercise leading to an overall improvement in hemostasis. Methods.The study was approved by the institutional ethics board. Subjects (ages 5-18 years) meeting inclusion criteria were invited to participate. Baseline blood-work was drawn and subjects were then exercised on a stationary cycle ergometer using a progressive incremental Godfrey-protocol, aiming to attain 3-minutes of cycling at 85% of predicted maximum heart rate. Blood-work was repeated 5-minutes and 1-hour after exercise completion. Descriptive statistics were used to summarize parameters (mean ± SD). Statistical analyses were performed using the SAS version 9.2 software package. All calculated p-values were two-sided and p-values ≤ 0.05 were considered significant. Results. Thirty subjects [19 HA (7 mild; 6 moderate; 6 severe); 11 HB (2 mild; 6 moderate; 3 severe)] were enrolled. Mean age at participation was 12.8 (±3.8) years. Mean duration of exercise was 13.9 (±2.6) minutes. Baseline characteristics were similar for HA and HB subjects, except BMI, which was significantly higher in the HA cohort (p=0.01). For the entire study cohort, we found that platelet count, FVIII, VWF:Ag and VWF:RCo levels rose significantly by 5-minutes post-exercise (p values of <0.0001, 0.004, <0.0001 and 0.01 respectively), though only VWF:Ag and VWF:RCo levels remained significantly elevated at 1-hour (p=0.003 and 0.02 respectively). PFA-100 closure time with the collagen/epinephrine cartridge shortened significantly at 5 minutes (n=26; p=0.02), but not with the collagen/ADP cartridge (n=26; p=0.6). Subjects with severe HA showed no significant change in FVIII, VWF:Ag or VWF:RCo levels with exercise, but did show a rise in platelet counts (p=0.03). Post-pubertal boys (>12 years) had a significantly greater increase in FVIII, VWF:Ag and VWF:RCo levels as compared to pre-pubertal boys at both 5-minutes and 1-hour, despite having exercised for a shorter duration of time (13.2 minutes versus 15.1 minutes; p=0.04) (data for non-severe HA and all HB patients is elaborated in Fig. 1). Complete TEG and TGT data were available for 19 subjects (13 HA and 6 HB). No consistent improvement in TEG parameters was noted. TGT studies did show a significant improvement in peak thrombin generation (using 1 pM tissue factor) at 5-minutes post exercise (p=0.01), though this improvement was lost by 1-hour (p=0.9). Conclusion. Children with hemophilia (excluding severe HA) showed improvements in specific hemostatic parameters with exercise. These improvements were more robust in post-pubertal males. The change in coagulation profile could be discerned using PFA-100 and TGT but not TEG. We conclude that exercise may potentially improve hemostatic parameters (at least for a short time) in subjects with non-severe HA and all subjects with HB thus reducing the risk of bleeding. Figure 1. Figure 1. Figure subscript. Impact of exercise on FVIII activity in non-severe HA subjects (1a) and HB subjects (1b); on VWF:RCo activity in non-severe HA subjects (1c) and HB subjects (1d); on VWF:Ag levels in non-severe HA subjects (1e) and HB subjects (1f) Disclosures Carcao: Pfizer: This study was an investigator initiated study which was funded by Pfizer Other.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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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Citations0
Published2014
Admission routes1
Has abstractyes

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