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Effects of Home‐Based Exercise Training on Post‐Exercise Peripheral Muscle Oxygenation in Children with Congenital Heart Disease

2019· article· en· W3174275283 on OpenAlexaff
Dana S. Lahti, Corey R Blushke, Charissa Pockett, Timothy J. Bradley, Scott Pharis, Scotty Butcher, Kylee Kosokowsky, Natasha G. Boyes, Kristi D. Wright, Marta Erlandson, Corey R. Tomczak

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsUniversity of ReginaUniversity of Saskatchewan
Fundersnot available
KeywordsMedicinePhysical therapyOxygenationCardiologyHeart diseaseAerobic exerciseCardiorespiratory fitnessExercise intolerancePhysical medicine and rehabilitationInternal medicineHeart failure

Abstract

fetched live from OpenAlex

A hallmark feature of children with congenital heart disease (CHD) is exercise intolerance, along with slow post‐exercise muscle oxygenation recovery. Exercise rehabilitation programs have been shown to improve peak V̇O 2 in children with CHD; however, exercise tolerance is still limited compared to healthy matched controls. Whether exercise training improves post‐exercise recovery of muscle oxygenation (as measured by tissue oxygenation index, TOI) in children with CHD compared to healthy children is unknown. PURPOSE To determine whether a 12‐week home‐based exercise intervention can improve post‐exercise TOI response after peak exercise in children with CHD compared to controls. METHODS Eight children with CHD (f/m = 4/4; mean ± SD age: 12 ± 2 yrs) with simple and complex lesions and seven healthy controls (f/m = 3/4; age: 12 ± 3 yrs) were studied. Children with CHD completed a home‐based exercise program 3 times/week for 12 weeks, in addition to 6 biweekly in‐person sessions. Exercise tolerance was assessed with peak V̇O 2 testing to volitional fatigue on a cycle ergometer, followed by 4 minutes of 20‐W recovery. Vastus lateralis TOI was continuously sampled during exercise and recovery via near‐infrared spectroscopy. Post‐exercise TOI recovery data was normalized from 0% (end‐exercise) to 100% (4 min post‐exercise) and data analyzed at set time points to characterize TOI time course changes (0s, 15s, 30s, 60s, 90s, 120s, 180s and 240s). Pre vs. post training changes in TOI were analyzed using paired t ‐tests. Significance was accepted when P <0.05. RESULTS Post‐exercise TOI was significantly lower in CHD pre‐training compared to controls at 15s (9 ± 9 vs. 27 ± 16 %; P = 0.018) and 30s (32 ± 17 vs. 72 ± 35%; P = 0.012). Similarly, post‐exercise TOI in CHD after exercise training was significantly lower than controls at 15s (9 ± 7 vs. 27 ± 16 %; P = 0.014) and 30s (36 ± 22 vs. 72 ± 35%; P = 0.030)‐‐‐. CONCLUSION Excessive post‐exercise impairment in TOI recovery persists after home‐based exercise in children with CHD compared to controls. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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