An abnormal activated partial thromboplastin time clotting waveform is associated with high mortality and a procoagulant state.
Bibliographic record
Abstract
We studied the associations of a biphasic waveform identified in 61 consecutive patients by activated partial thromboplastin times performed with an MDA 180 coagulation analyzer (bioMérieux Inc., Durham, NC, USA). The patients were encountered in a wide range of locations, including medical and surgical services, emergency and outpatient departments, and intensive care unit. The patients encountered also had a variety of clinical diagnoses. Of the patients, 42.6% were dead on follow-up evaluation at 3 months, and 67.2% had a clinical condition known to predispose to the development of disseminated intravascular coagulation (DIC). Sepsis was the most frequent associated condition and was present in 54% of the patients. Only 6 patients had overt DIC according to a standardized scoring system. However, D-dimer was elevated in 90% of patients, and antithrombin III and protein C levels decreased in 75.4% and 63.9%, respectively. The platelet count was decreased in 26%. Our results indicated that a biphasic waveform is associated with high mortality in general hospital patients and is frequently associated with sepsis. This waveform appears to be associated with a consumptive procoagulant state, which may represent early or nonovert DIC.
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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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".