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Record W2129100004 · doi:10.1113/jp271049

Transposition of exercise protocols: cardiovascular response to exercise in patients with transposition of the great arteries

2015· letter· en· W2129100004 on OpenAlexaff
Ryan T. Sless, Noah Stern

Bibliographic record

VenueThe Journal of Physiology · 2015
Typeletter
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineGreat arteriesCardiologyInternal medicineTreadmillVO2 maxPhysical therapyStress testing (software)Clinical endpointHeart rateEndurance trainingExercise intensityBruce protocolBlood pressureHeart diseaseRandomized controlled trial

Abstract

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The benefits of exercise at reducing cardiovascular and all-cause mortality have been well described, but certain cohorts of individuals exist in which the safety of exercise has not been studied and its benefits and harms are thus far unknown. During participation in sports or other forms of exercise, patients with transposition of the great arteries (TGA) with systemic right ventricles (SRVs) may have a higher risk of adverse events, including sudden cardiac death. There is little evidence regarding the exercise tolerance and safety in this cohort of patients and it is unknown if exercise will increase the stress on the SRV and result in diminished function. Shafer et al. (2015) examined the cardiovascular and metabolic responses to exercise training in the SRVs of patients with TGA in order to investigate exercise tolerance and its effect on the SRV. All subjects underwent exercise testing before and after 3 months of an intensive training programme, with a primary endpoint of change in oxygen consumption () as a surrogate marker for changes in exercise tolerance. Exercise testing was performed using treadmill testing with continuous ECG monitoring and automated blood pressure measurements every 2 min. and cardiac output () were measured standing, at rest, and during low and moderate intensity exercise. In addition, patients returned on a subsequent day to perform a 60 min prolonged submaximal endurance exercise and high-intensity interval training (HIIT) with echocardiography assessment. After preliminary testing, all subjects engaged in a 3 month progressive exercise-training programme. The programme consisted of base pace exercise (60–70% of max heart rate (HR)) for 60 min, maximal steady state exercise (70–80% of max HR), and HIIT (85–95% of max HR) with the duration and intensity of exercise increasing each month. The study examined 14 patients (50% male) with TGA and nine controls (44% male) with an average age of 34, and otherwise similar demographics. Results suggest that TGA patients with SRV are able to safely participate in a 3 month moderate to high intensity exercise-training programme. They found lower and stroke volumes (SVs) in TGA patients versus controls during submaximal and peak exercise. TGA patients also had lower SV reserve (SVR). Additionally, both groups maintained similar exercise intensities during the prolonged endurance training, indicated by similar capillary lactate levels, respiratory exchange ratios, and ratings of perceived exhaustion. The second half of the study entailed a 12 week exercise training programme, which resulted in a 1.3 ml kg−1 min−1 increase in peak , and decreases in cardiac stress, measured by cardiac troponin T. They also observed an increase in relative blood volume, which did not translate to increases in ; however, that may be influenced by the small sample size. Data suggest that an increase in aerobic fitness by 1 metabolic equivalent (MET) translates to a 10% reduction in all-cause mortality. The results of Shafer et al. (2015) reported a 0.5 MET increase in aerobic fitness, which would translate to an approximate 5% reduction in all-cause mortality if the subjects were healthy. The direct effects of an increase in aerobic fitness in TGA patients are unknown without long-term follow up; however, we expect an improvement similar to that observed in heart failure (HF). Exercise has been shown to increase aerobic fitness and improve quality of life without diminished left ventricular ejection fraction (LVEF) in patients with HF, a phenomenon that may translate to TGA patients with a SRV (Pandey et al. 2015). Although increased aerobic fitness may suggest decreases in adverse events and all-cause mortality, a similar exercise study by Winter et al. (2012) did not observe increases in quality of life (QoL), despite increased peak. One factor that was not considered in these studies were the implications for the patient's lifestyle, such as participation in sports, and how that might subsequently affect their QoL. Opic et al. (2015) illustrated increased exercise capacity and no change in adverse events with participation in light to moderate (1–5 h per week) or extensive (>5 h per week) sports. Unlike a strict exercise-training regimen, the ability to engage in sporting activities may be more likely to increase QoL. Having established the safety of training in this population, new questions arise. The training programme assigned by Shafer et al. (2015) and Winter et al. (2012) required an intensity and duration that may be difficult to sustain long-term. While this high intensity was necessary to ascertain whether or not TGA patients could tolerate exercise without negative effects on ventricular function, follow up studies should explore less extensive exercise regimens, including sports participation, to determine if similar results can be observed in programmes that are likely to have less attrition. In addition, other studies working with TGA patients show that exercise-induced changes in aerobic fitness do not persist during a 3 year follow-up. This is likely to be a result of lack of compliance after completion of the study, but follow-up work should test what quantity and intensity of exercise is necessary to maintain gains and compliance. Long term follow-up with these patients and other TGA patients involved in exercise programmes would be of value in order to determine whether the observed improvements in were sustained and to investigate any effect exercise training programmes have on all-cause mortality in TGA patients. After examining disparities between the results of TGA subjects, the authors concluded that there might exist a subset of TGA patients with underlying ventricular dysfunction who lacked the potential to increase their and thus gain no value from the experimented exercise protocol. The two predictors of this ventricular dysfunction identified were a decline in SV during the transition to maximal intensity exercises and a limited SVR. When transitioning to maximal effort patients saw a decline in SV, indicating that the heart was unable to compensate for the increased effort. Additionally, analysis showed that initial SVR was the only correlate with training response, with higher SVR predicting higher . Identifying this population before the outset of a new study could prove valuable when attempting to delineate the effectiveness of exercise programmes with TGA patients and prove useful when providing lifestyle recommendations. The limited sample size of 14 participants may be of statistical concern, but the number of participants seems adequate considering the rarity of this condition, the high level of commitment expected, and the broadness of the central question being investigated. Further investigations into this population may require larger sample sizes in order to study more subtle outcomes. In summary, Shafer et al. (2015) have demonstrated that TGA patients with systemic right ventricles are able to tolerate moderate to high intensity exercise training programmes with no detectable injury; however, the small sample size may impact the studies external validity. This opens the door for further investigations into optimal exercise protocols, predictors of efficacy and prognostic changes after exercise. None declared.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.237
Teacher spread0.227 · 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 teacher head, 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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Citations1
Published2015
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