Chronic Neuromotor Disability After Complex Cardiac Surgery in Early Life
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Little is known about chronic neuromotor disability (CND) including cerebral palsy and motor impairments after acquired brain injury in children surviving early complex cardiac surgery (CCS). We sought to determine the frequency and presentation of CND in this population while exploring potentially modifiable acute care predictors. METHODS: This prospective follow-up study included 549 children after CCS requiring cardiopulmonary bypass at ≤6 weeks of age. Groups included those with only 1 CCS, mostly biventricular CHD, and those with >1 CCS, predominantly single ventricle defects. At 4.5 years of age, 420 (94.6%) children received multidisciplinary assessment. Frequency of CND is given as percentage of assessed survivors. Predictors of CND were analyzed using multiple logistic regression analysis. RESULTS: CND occurred in 6% (95% confidence interval [CI] 3.7%-8.2%) of 4.5-year survivors; for 1 CCS, 4.2% (CI 2.3%-6.1%) and >1, 9.8% (CI 7%-12.6%). CND presentation showed: hemiparesis, 72%; spasticity, 80%; ambulation, 72%; intellectual disability, 44%; autism, 16%; epilepsy, 12%; permanent vision and hearing impairment, 12% and 8%, respectively. Overall, 32% of presumed causative events happened before first CCS. Independent odds ratio for CND are age (days) at first CCS, 1.08 (CI 1.04-1.12; P < .001); highest plasma lactate before first CCS (mmol/L), 1.13 (CI 1.03-1.23; P = 0.008); and >1 CCS, 3.57 (CI 1.48-8.9; P = .005). CONCLUSIONS: CND is not uncommon among CCS survivors. The frequency of associated disabilities characterized in this study informs pediatricians caring for this vulnerable population. Shortening the waiting period and reducing preoperative plasma lactate levels at first CCS may assist in reducing the frequency of CND.
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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 | 0.001 |
| 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".