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Expiratory threshold loading impairs cardiovascular function in health and chronic heart failure during submaximal exercise

2006· article· en· W2075991664 on OpenAlexfundno aff
Jordan D. Miller, Sarah J. Hemauer, Curtis A. Smith, Michael K. Stickland, Jerome A. Dempsey

Bibliographic record

VenueJournal of Applied Physiology · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteInstitut Périmètre de physique théoriqueAmerican Heart Association
KeywordsMedicineCardiologyInternal medicineCardiac outputVentilation (architecture)Heart failureStroke volumeHeart rateAnesthesiaHemodynamicsBlood pressureEjection fraction

Abstract

fetched live from OpenAlex

We determined the effects of augmented expiratory intrathoracic pressure (P(ITP)) production on cardiac output (Q(TOT)) and blood flow distribution in healthy dogs and dogs with chronic heart failure (CHF). From a control expiratory P(ITP) excursion of 7 +/- 2 cmH2O, the application of 5, 10, or 15 cmH2O expiratory threshold loads increased the expiratory P(ITP) excursion by 47 +/- 23, 67 +/- 32, and 118 +/- 18% (P < 0.05 for all). Stroke volume (SV) rapidly decreased (onset <10 s) with increases in the expiratory P(ITP) excursion (-2.1 +/- 0.5%, -2.4 +/- 0.9%, and -3.6 +/- 0.7%, P < 0.05), with slightly smaller reductions in Q(TOT) (0.8 +/- 0.6, 1.0 +/- 1.1, and 1.8 +/- 0.8%, P < 0.05) owing to small increases in heart rate. Both Q(TOT) and SV were restored to control levels when the inspiratory P(ITP) excursion was augmented by the addition of an inspiratory resistive load during 15 cmH2O expiratory threshold loading. The highest level of expiratory loading significantly reduced hindlimb blood flow by -5 +/- 2% owing to significant reductions in vascular conductance (-7 +/- 2%). After the induction of CHF by 6 wk of rapid cardiac pacing at 210 beats/min, the expiratory P(ITP) excursions during nonloaded breathing were not significantly changed (8 +/- 2 cmH2O), and the application of 5, 10, and 15 cmH2O expiratory threshold loads increased the expiratory P(ITP) excursion by 15 +/- 7, 23 +/- 7, and 31 +/- 7%, respectively (P < 0.05 for all). Both 10 and 15 cmH2O expiratory threshold loads significantly reduced SV (-3.5 +/- 0.7 and -4.2 +/- 0.7%, respectively) and Q(TOT) (-1.7 +/- 0.4 and -2.5 +/- 0.4%, P < 0.05) after the induction of CHF, with the reductions in SV predominantly occurring during inspiration. However, the augmentation of the inspiratory P(ITP) excursion now elicited further decreases in SV and Q(TOT). Only the highest level of expiratory loading significantly reduced hindlimb blood flow (-4 +/- 2%) as a result of significant reductions in vascular conductance (-5 +/- 2%). We conclude that increases in expiratory P(ITP) production-similar to those observed during severe expiratory flow limitation-reduce cardiac output and hindlimb blood flow during submaximal exercise in health and CHF.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.006
GPT teacher head0.213
Teacher spread0.207 · 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

Citations39
Published2006
Admission routes1
Has abstractyes

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