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Abstract 4147741: The Effect of Anemia on the Mechanisms of Exercise Intolerance in Adults with HFpEF

2024· article· en· W4404381817 on OpenAlexaff
Giorgio Manferdelli, Denis J. Wakeham, Michael Leahy, Rachel J. Skow, Tiffany Brazile, James P. MacNamara, Paul J. Fadel, Mark J. Haykowsky, Benjamin D. Levine, Satyam Sarma, Christopher M. Hearon

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineExercise intoleranceCardiologyInternal medicineHeart failurePhysical therapy

Abstract

fetched live from OpenAlex

Introduction: Anemia (males: [Hb] <13.5 g/dL, females: <12 g/dL) is common in heart failure with preserved ejection fraction (HFpEF) and associated with exercise intolerance. The hemodynamic effect of anemia and the mechanism by which anemia impairs exercise capacity in patients with HFpEF are unclear. We investigated the effects of anemia on exercise hemodynamics and oxygen transport and utilization (VO 2 ) during a cardiopulmonary exercise test (CPET) and single leg knee extension exercise (SLKE) in patients with HFpEF. Methods: Patients with HFpEF (n=57) classified as non-anemic (n=33, 67% female, age: 70±7 y, BMI: 39.3±5.8 kg/m 2 , [Hb]: 13.7±1.5 g/dL) or anemic (63% female, age: 71±7 y, BMI: 34.7±5.9 kg/m 2 , [Hb]: 11.2±0.9 g/dL) completed CPET on a seated upright cycle ergometer. A subgroup (n=20 non-anemic; 14 anemic) also completed SLKE to exhaustion. During CPET we measured VO 2 (indirect calorimetry), arterio-venous O 2 difference (Δa-vO 2 ; arterial and right heart catheters) and cardiac output (Qc; Direct Fick). During SLKE we measured femoral artery blood flow (LBF; Doppler ultrasound), Δa-vO 2 (pulse oximetry and femoral venous catheter) and leg VO 2 . We also measured total hemoglobin mass (tHbmass; carbon monoxide rebreathing) and plasma volume. Data were compared via independent samples t-tests. Results: The anemic group had lower relative tHbmass (g/kg lean mass; Figure 1A) compared to non-anemic, with no difference in plasma volume (Figure 1B). Peak VO 2 during CPET was similar between groups (non-anemic: 1.32±0.39 vs anemic: 1.24±0.44 L/min, P =0.269), but the anemic group had a higher Q c -VO 2 slope (Figure 1C&D) and a lower Δa-vO 2 (non-anemic: 12.6±1.8; anemic: 10.7±1.4 mL/dL, P <0.001). During SLKE, no difference was detected in peak leg VO 2 , LBF, Δa-vO 2 , or diffusive capacity (all, P >0.175); however, the anemic group had a significantly greater LBF-VO 2 slope (Figure 1D). Conclusion: Patients with HFpEF and anemia present with a hyperdynamic circulation during exercise despite similar peak VO 2 to non-anemic peers. [Hb] modifies the coupling of oxygen delivery and demand and may be a key mechanism responsible for hyperdynamic circulatory responses to exercise in patients with HFpEF and anemia.

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)0.000
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.221
Teacher spread0.216 · 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
Published2024
Admission routes1
Has abstractyes

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