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THE ACUTE EFFECTS OF TWO DIFFERENT TRAINING MODELS ON MARKERS OF INFLAMMATORY ACTIVATION AND SKELETAL MUSCLE INJURY IN PATIENTS WITH CHRONIC HEART FAILURE

2008· article· en· W2004634889 on OpenAlexaff
A. G. Taylor, Andrew Ignaszewski, Donna L. MacIntyre, Donald C. McKenzie, John S. Hill, Darren E. R. Warburton

Bibliographic record

VenueJournal of Cardiopulmonary Rehabilitation and Prevention · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsMedicineRehabilitationAssociation (psychology)Heart failurePhysical therapyAdaptation (eye)Internal medicine

Abstract

fetched live from OpenAlex

Background: Patients with heart failure (HF) are characterized by exercise intolerance, breathlessness, fatigue and excessive neurohormonal activation associated with premature mortality. Recently, inflammatory activation has been described as an important factor in the progression of HF. Increased levels of certain pro-inflammatory cytokines (e.g., TNF-ɑ, IL-6) have been related to increased severity of left ventricular dysfunction, the activation of the sympathetic and renin-angiotensin systems and the catabolism of skeletal muscle. Although exercise training is important in the management of HF, acute bouts of exercise may lead to increases in proinflammatory cytokines. It is believed that the skeletal muscle abnormalities associated with HF may increase the risk of damage to skeletal muscle, (i.e., exercise-induced muscle injury (EIMI) with associated inflammatory activation) especially following unaccustomed exercise training. Recently, several training methods have been proposed for patients with HF that challenge the traditional “steady-state” (SS) training model, including interval training (IT). Interval training methods employ greater muscular loading than SS and therefore may increase the risk of inflammatory system activation EIMI, and/or reduced muscle function. There is no study that has examined the effects of IT on EIMI, muscle function and/or inflammatory markers. Material and Methods: Fourteen male participants with HF (mean age: 59 +/- 7.8 yrs; mean VO2 peak: 13.64 +/- 4.5 ml/kg/m-1; EF < 45%) were matched (for body mass and aerobic fitness) and randomized into SS or IT for 20 minutes. The IT involved 2 minute work:recovery phases of 90% and 40% of heart rate reserve, respectively. The SS involved continuous exercise at 65% of heart rate reserve. Biochemical markers of muscle damage and acute inflammation, concentric and eccentric isokinetic muscle torque, and subjective indicators of delayed onset muscle soreness (DOMS) and lower extremity function were evaluated at baseline, and then immediately following the training bout, and at 6, 24, and 48 hours post. Results: There were no significant differences between the IT and the SS training group for markers of skeletal muscle injury or inflammatory activation. Conclusions: The findings from the present study suggest that IT or SS do not result in excessive inflammatory system activation or skeletal muscle injury. These results have important implications for clinicians prescribing exercise regimes for HF patients who may be starting back into activity after a prolonged sedentary period. Additionally, results from this study indicate that there is a need for future research looking at the actual and perceived effect of even a single about of exercise on lower extremity function.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.005
GPT teacher head0.230
Teacher spread0.225 · 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
Published2008
Admission routes1
Has abstractyes

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