Bedside assessment of fibrinogen level in postpartum haemorrhage by thrombelastometry
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Bibliographic record
Abstract
OBJECTIVES: To establish whether reagent-supported thrombelastometry with the rotation thrombelastometry system (ROTEM) point-of-care device correlated with fibrinogen level in postpartum haemorrhages. DESIGN: Prospective observational study. POPULATION AND SETTING: Ninety-one women at the third trimester of pregnancy: 37 with postpartum haemorrhage (study group) and 54 without abnormal bleeding (control group). METHODS: Standard laboratory test results were compared with those obtained at bedside from the ROTEM with the FIBTEM test (54 tests in the control group and 51 in the study group). MAIN OUTCOME MEASURES: Analysis of correlations between fibrinogen levels and FIBTEM test results: clotting time (CT), clot amplitude at 5 and 15 minutes (CA5; CA15) and maximal amplitude [maximum clot firmness (MCF)]. RESULTS: Median fibrinogen level was significantly lower in the haemorrhage group than in the control group (3.4 and 5.1 g/l, respectively, P < 0.0001). Median CT was higher in the haemorrhage group than in the control group (P = 0.05). CA5, CA15 and MCF were significantly lower in the haemorrhage group than in controls (P < 0.0001) and strongly correlated with fibrinogen levels in both groups (r = 0.84-0.87, P < 0.0001). A cut-off value of CA5 at 5 mm and CA15 at 6 mm presented an excellent sensitivity (100% for both parameters) and a good specificity (respectively 85 and 88%) to detect fibrinogen levels <1.5 g/l in postpartum haemorrhage. Conclusions The early parameters obtained from the FIBTEM test correlated well with fibrinogen levels. ROTEM might be helpful in guiding fibrinogen transfusion during postpartum haemorrhage.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it