The Utility of Cardiopulmonary Exercise Testing for the Prediction of Outcomes in Ambulatory Children With Dilated Cardiomyopathy
Bibliographic record
Abstract
BACKGROUND: Unlike adult patients, the utility of cardiopulmonary exercise testing (CPET) in children as a prognostic tool is unclear. We sought to examine the associations of CPET with outcomes in children with dilated cardiomyopathy (DCM). METHODS: This was a single-center, retrospective review of children with DCM who underwent CPET. The primary endpoint for this study was a time-dependent composite outcome of hospitalization for management of decompensated heart failure, initiation of mechanical circulatory support, heart transplant, or death. RESULTS: We examined 52 children with DCM who underwent CPET at median age 12.6 years (interquartile range [IQR], 9.9-14.6 years). At first CPET, the median peak heart rate was 80% (IQR, 70-88%) of predicted, median peak oxygen consumption 62% (IQR, 45-77%) of predicted, and median minute ventilation/carbon dioxide production slope 34.9 (IQR, 27.9-39.4). Eighteen (35%) patients reached the composite outcome during follow-up. Univariable factors associated with the composite outcome included: lower peak heart rate predicted, lower blood pressure response, lower peak oxygen consumption predicted, and higher minute ventilation/carbon dioxide production slope. The association between exercise performance and composite outcome was linear; thus, no reliable cutoff point could be identified. Serial CPET had been performed in 30 patients; clinically, those with deterioration of exercise capacity had poorer outcomes. CONCLUSIONS: Cardiopulmonary exercise testing is feasible in children with DCM and is useful to predict outcomes. The finding of lower exercise capacity and lower blood pressure response should prompt closer follow-up. In those with serial testing, a decline in exercise capacity may be a marker of clinical deterioration.
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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) | 0.000 | 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".