New Insights into the Influence of Tissue Desaturation on Skeletal Muscle Reactive Hyperemia: Implications for Sex-Related Differences
Bibliographic record
Abstract
INTRODUCTION/PURPOSE: There is evidence showing that males have greater reactive hyperemia compared with females. However, females also show less desaturation rate and magnitude during blood flow occlusion compared with males, questioning whether the reduced reactive hyperemia observed in females is a consequence of reduced "ischemic" stimulus. METHODS: We assessed femoral artery conduit artery and skeletal muscle (tibialis anterior) reactive hyperemia in 75 young healthy males ( n = 38) and females ( n = 37). Data were analyzed using different strategies such as i) simple comparisons of indexes of reactive hyperemia of the full cohort without considering tissue desaturation, ii) indexes of reactive hyperemia comparisons between subjects that matched for tissue desaturation, iii) skeletal muscle reactive hyperemia comparisons between males and females from the full cohort by using other proposed methods in the literature, and iv) comparison of skeletal muscle reactive hyperemia between males and females from the full cohort while controlling for desaturation indexes using analysis of covariance (ANCOVA). RESULTS: Overall, females showed reduced desaturation magnitude (20% ± 6% vs 28% ± 5%, P < 0.001) and near-infrared spectroscopy-derived reperfusion slope (slope 2) (0.8 ± 0.2%·s -1 vs 1.4 ± 0.6%·s -1 , P < 0.001) compared with males. However, in a subset of tissue desaturation-matched participants, reactive hyperemia remained reduced in females compared with males (1.0 ± 0.2 vs 1.3 ± 0.4, P = 0.018). When, tissue desaturation data were controlled by using ANCOVA, this approach was more accurate than other proposed normalizations for assessing skeletal muscle reactive hyperemia in males and females. CONCLUSIONS: Our findings indicate that using proposed normalization models may neglect sex-related differences in reactive hyperemia. However, using ANCOVA to account for differences in desaturation may provide a more accurate approach when comparing skeletal muscle reactive hyperemia between males and females.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".