Chronic e-cigarette use in young adults is associated with reduced cardiopulmonary function at rest and during exercise
Bibliographic record
Abstract
E-cigarette aerosols produce contaminant particles that have the potential to impair cardiopulmonary function. However, the current understanding of the impact of e-cigarette use on cardiopulmonary function remains inconclusive. Exercise represents a stress on the cardiopulmonary system and may help identify cardiopulmonary dysfunction in chronic e-cigarette users. Consequently, the purpose of this study was to investigate if e-cigarette users exhibit cardiopulmonary abnormalities under physiological stress of exercise. To further investigate pulmonary vascular responses, the secondary purpose of the study was to examine how diffusing capacity (DL CO ), pulmonary capillary blood volume (V C ), and membrane diffusing capacity (D M ) respond to positional changes, as the transition from the upright to supine position should increase DL CO , V C , and D M , secondarily to increased perfusion pressure. We hypothesized that e-cigarette users would exhibit impaired cardiopulmonary function during exercise and reduced pulmonary vascular responsiveness to postural changes. Six chronic e-cigarette (e-cig) users (age: 24±5yrs, 5±2 years of e-cigarette use) with <5 pack years of traditional cigarette smoking history and six non-smoking controls who were age-, height-, and sex-matched completed two experimental trials. Day 1: Pulmonary function test and cardiopulmonary exercise test. Day 2: multiple fraction of inspired oxygen DL CO technique to quantify DL CO, V C , and D M at rest in the upright and supine positions. Resting pulmonary function was not significantly different between groups. The change in DL CO from upright to supine was significantly lower in e-cig users compared to controls (Control: 7.61±2.32 ml/min/mmHg vs. E-cig: 3.17±2.09 ml/min/mmHg; p=0.01), due to a smaller change in V C ( p=0.03), which suggests reduced pulmonary vascular distention in e-cig users. V̇O 2peak was significantly lower in e-cig users compared to controls (Control: 4.4±1.2 L/min vs. E-cig: 2.6 ±0.7 L/min; p=0.01). E-cig users exhibited significantly elevated V̇ E / V̇CO 2nadir ( p=0.02) indicating worse ventilatory effciency, and greater dyspnea relative to power output ( p=0.02) compared to controls. Preliminary findings suggest that e-cigarette use is associated with normal resting lung function but reduced pulmonary vascular distensibility. Further, e-cigarette users demonstrate ventilatory ineffciency and greater exertional dyspnea along with exercise intolerance. Canadian Institutes of Health Research. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".