Faculty Opinions recommendation of Experience and prognosis of systemic neonatal thrombosis at a level III NICU.
Bibliographic record
Abstract
OBJECTIVE: The objective of this article was to evaluate neonates diagnosed systemic thrombosis and their outcomes.METHODS: We retrospectively evaluated data of neonatal systemic thrombosis between January 2011 and December 2016.RESULTS: Among 4376 hospitalized, 30 neonates (0.69%) were diagnosed systemic thrombosis. Their mean birth weight was 2422±1152 g (680 to 4750 g), gestational age was 35±5.4 weeks (25 to 41 wk). There were 25 neonates (83.3%) with venous, 5 patients (16.7%) with arterial thrombosis. The most common sites that thrombi localized were major vessels (n=11) and central nervous system (n=8). Central catheter insertion (76.7%) and prematurity (46.7%) were the most common risk factors. Congenital prothrombotic risk factors included G1691A mutation in factor V Leiden (n=1), mutation in factor XIII (n=1), C677T mutation in methylenetetrahydrofolate reductase (n=6). More than 1 congenital risk factor was identified in 5 patients. The patients were treated with low-molecular weight heparin. The mortality rate was 13.3% (n=4). Two patients required amputation (left foot, left upper extremity). Unilateral renal atrophy (n=1), cerebral palsy (n=2), hemiparesis (n=1) were identified among followed 24 patients.CONCLUSIONS: Critically ill neonates are at risk for thrombosis, and devastating consequences can result. As indwelling catheters and prematurity are important, careful monitorization, early diagnosis and therapy, cautious care of central catheter might reduce the incidence and adverse outcome. PMID: 29750744
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.099 | 0.022 |
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".