A Prospective Study of the Association Between Clinically Significant Bleeding in PICU Patients and Thrombocytopenia or Prolonged Coagulation Times*
Bibliographic record
Abstract
OBJECTIVE: There are no proven methods to predict the risk of clinically significant bleeding in the PICU. A retrospective study identified platelet count as a risk marker for clinically significant bleeding. We conducted a study to examine any association of platelet count, international normalized ratio, and activated partial thromboplastin time with bleeding risk in PICU patients. DESIGN: Prospective observational cohort study. SETTING: The PICU at the Children's Hospital of Eastern Ontario, a university-affiliated tertiary care pediatric center. PATIENTS: Consecutive patients admitted to the PICU. Exclusion criteria were prior inclusion, admission with bleeding, inherited bleeding disorders, weight less than 3 kg, and age less than 60 days or 18 years or more. INTERVENTIONS: There were no interventions in this observational study. MEASUREMENTS AND MAIN RESULTS: Patients were monitored in real time for clinically significant bleeding, using a broadly inclusive definition of clinically significant bleeding, for up to 72 hours after admission to the PICU, or until death or discharge. All measurements of platelet count, international normalized ratio, and activated partial thromboplastin time obtained during the study period were included as time-varying covariates in Cox proportional hazard models. Two hundred thirty-four patients were eligible, and 25 (11%) had one or more episodes of clinically significant bleeding. Platelet count was associated with increased hazard of clinically significant bleeding (hazard ratio, 0.96 per 10 × 10/L increase in platelet count; 95% CI (0.93-0.997; p = 0.03). Increasing hazard for clinically significant bleeding was seen with decreasing platelet count. Neither international normalized ratio nor activated partial thromboplastin time was significantly associated with clinically significant bleeding. CONCLUSIONS: There is a statistically significant association in PICU patients between decrease in platelet count and clinically significant bleeding, and this association is stronger with lower platelet counts. Further study is required to determine whether platelet transfusion can reduce bleeding risk. International normalized ratio and activated partial thromboplastin time do not predict clinically significant bleeding, and these tests should not be used for this purpose in a general PICU patient population.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".