Capillary refill time and cardiac output in children undergoing cardiac catheterization *
Bibliographic record
Abstract
OBJECTIVE: Many pediatric healthcare providers believe that capillary refill time is a measure of perfusion and cardiac output in children. Despite its widespread use, there are no studies examining the relationship of capillary refill time to cardiac output in noncritically ill children. This study examined the inter-rater reliability of capillary refill time and its relationship to hemoglobin and with cardiac output in pediatric patients undergoing cardiac catheterization. DESIGN: Prospective observational study. SETTING: Tertiary care pediatric hospital. PATIENTS: A total of 58 children, ages 0.3-17 yrs, with congenital heart disease undergoing cardiac catheterization. INTERVENTIONS: Two clinicians performed two measurements of capillary refill time in a standardized fashion on 58 children undergoing cardiac catheterization. Cardiac output was determined by the Fick method within 15 mins of the first assessment of capillary refill time (time 1). MEASUREMENTS AND MAIN RESULTS: Capillary refill time and cardiac output measurements were obtained in 44 children, and 108 paired measurements of capillary refill time were obtained to assess inter-rater reliability. The mean capillary refill time was 1.2 secs (±0.5 secs), and the mean cardiac output was 3.6 L/min/m (2.2-5.7 L/min/m). The inter-rater intraclass correlation coefficient was 0.12 (time 1) (95% confidence interval -0.15 to +0.37) and was 0.32 (95% confidence interval 0.058-0.54) at the end of the catheterization (time 2). A significant association was noted between average capillary refill time at time 1 and hemoglobin, with higher hemoglobin correlating with longer capillary refill time (p = .015). There was no significant correlation between the average capillary refill time taken at the time of cardiac output measurement (time 1) and measured cardiac output (r = .331, 95% confidence interval for r, .066-.552). CONCLUSIONS: We found that the inter-rater reliability of capillary refill time was poor and variable under controlled conditions and capillary refill time was not correlated with cardiac output in anesthetized nonacutely ill pediatric patients undergoing cardiac catheterization. Caution should be used in inferring cardiac output from capillary refill time measurements alone.
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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 | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".