Heart rate variability is markedly abnormal following surgical repair of atrial and ventricular septal defects in pediatric patients
Bibliographic record
Abstract
Background: Abnormalities in heart rate variability (HRV) have been associated with increased morbidity and mortality. Adults with a history of successful correction of atrial septal defects (ASDs) and ventricular septal defects (VSDs) have clinically relevant abnormalities in HRV. The etiology of these abnormalities is unknown as is when they occur in the natural history of these lesions. We sought to determine whether the abnormalities described in adult patients are identifiable in pediatric patients. Materials and methods: Eighty-five ASD patients, 105 VSD patients, and 142 non-cardiac surgical comparison patients aged 0-18 years were studied during post-operative admission to the critical care unit using continuously monitored bedside electrocardiographic (ECG) data. Results: ASD and VSD patients had statistically significantly lower time-domain heart rate variability parameters, i.e., standard deviation of NN interval duration, and lower frequency-domain heart rate variability parameters, i.e., power in the high frequency band and power in the low frequency band, compared to the comparison cohort. The lower frequency band to high frequency band power ratio was lower in ASD patients and higher in VSD patients compared to the comparison cohort. The abnormalities identified correlate well with patterns described in adult patients. Conclusion: Post-surgical ASD and VSD patients have markedly abnormal heart rate variability patterns indicative of reduced parasympathetic activity and predominance of sympathetic activity. The HRV abnormalities described in adult patients are identifiable as early as the postoperative period in childhood. This finding warrants prospective study to identify drivers of this phenomenon.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".