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Peak Oxygen Uptake is Limited by Oxygen Transport and not Peripheral Extraction in Congestive Heart Failure Patients

2007· article· en· W2093744131 on OpenAlexaff
Yagesh Bhambhani, Sandra Mandic, Wayne Tymchak, Daniel Kim, Dylan Taylor, Arthur Quinney, Mark J. Haykowsky

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2007
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCardiorespiratory fitnessCardiologyHeart failureMedicineHeart rateInternal medicineOxygenationVO2 maxWork rateIncremental exercisePeripheralBlood pressure

Abstract

fetched live from OpenAlex

Patients with congestive heart failure (CHF) are characterized by low levels of aerobic fitness (peak oxygen consumption, VO2peak) that may be secondary to reductions in oxygen transport capacity and peripheral oxygen extraction (Belardinelli et al., 1995). Near infrared spectroscopy (NIRS) is a valid and reliable non-invasive technique for evaluating localized muscle oxygenation and blood volume during exercise in situ in CHF patients (Watanabe et al., 2005). PURPOSE: To investigative the relationship between VO2peak and selected cardiorespiratory responses and muscle oxygenatioin/blood volume changes in patients with CHF. METHODS: Twelve CHF patients (ischemic/non-ischemic:4/8, age (mean±SD): 63 ±11.5 yrs, VO2peak: 1.19±0.52 L/min, 14.3±5.2 ml/kg/min) gave written informed consent to participate in a step-wise symptom-limited incremental cycle exercise test to voluntary fatigue. Cardiorespiratory variables were recorded using a metabolic measurement cart. Localized muscle oxygenation and blood volume were recorded continuously from the right vastus lateralis using a dual wave NIRS device for 2 mins at rest (baseline) and throughout exercise. The difference between the baseline and the highest values recorded during exercise were used for statistical analysis. RESULTS: Oxygen uptake, heart rate and ventilation rate increased systematically during incremental exercise. In most patients, muscle blood volume increased up to 50% to 60% of VO2peak and then leveled off or decreased until the termination of exercise. Muscle oxygenation decreased (implying greater oxygen extraction) with increasing work rate and leveled off prior to the attainment of VO2peak. In a forward stepwise multiple regression analysis, only the peak exercise oxygen pulse and heart rate were selected into the regression equation to predict VO2peak. These two variables explained 71% and 28% of the variance respectively in VO2peak. The ventilation rate, muscle oxygenation and blood volume changes were not included into the predictive model. CONCUSIONS: The findings on this small sample of CHF patients suggest that VO2peak is determined primarily by the ability of the central circulation to transport oxygen and not by the capacity of the exercising muscles to extract oxygen.

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 score0.001
Threshold uncertainty score0.003

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 head0.012
GPT teacher head0.283
Teacher spread0.271 · 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
Published2007
Admission routes1
Has abstractyes

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