The Study of Coagulation Parameters in Polytrauma Patients and Their Effects on Outcome
Bibliographic record
Abstract
BACKGROUND: Mortality from trauma remains a major public health issue as it is the leading cause of death in persons aged 5 - 44 years. There is a dearth of information on polytrauma from developing countries such as ours. Hence, this topic was studied at our institute. The objective is to study the coagulation parameters in polytrauma patients at our institute and to correlate the findings with the prognosis. METHODS: A prospective study was carried out in the department of pathology in a tertiary care center, during a period of 20 months from December 2012 to July 2014. All the polytrauma patients (injury severity score (ISS) ≥ 15) with injuries to head and neck, face, thorax, abdomen, extremities and external (skin) were included. Sampling was done within 20 min of arrival during primary survey of the patient. Screening tests like bleeding time (BT) and clotting time (CT) were carried out bedside. Other tests carried out were complete blood count (CBC), prothrombin time (PT), activated thromboplastin time (aPTT), thrombin time (TT) and D-dimer assay. Tests were carried out on fresh samples within 2 h of collection. RESULTS: The incidence of coagulopathy was 59.86%. There was significant prolongation of PT, aPTT and TT in those patients who developed coagulopathy. PT was found to be a stronger predictor of mortality among polytrauma patients. CONCLUSION: A significant proportion of polytrauma patients were coagulopathic. Initial coagulation profile is very useful in predicting outcomes for major polytrauma patients. This study emphasizes the importance of early suspicion and basic screening for coagulopathy in polytrauma patients in developing countries.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".