Cardiac troponin T elevation predicts mortality in hospitalized COVID-19 patients
Bibliographic record
Abstract
Objective: To evaluate if cardiac troponin values predict poor outcomes in COVID-19 patients across the range of patients of different sex and age. Methods: We examined high-sensitivity cardiac troponin T (hs-cTnT) levels in 1050 severely ill hospitalized COVID-19 patients who had hs-cTnT data available and participated in the Expanded Access Program for convalescent plasma study during the first wave (April-August 2020) of the COVID-19 pandemic. Results: We observed a continuous relationship between hs-cTnT levels and mortality in hospitalized males and females with COVID-19. This finding was present regardless of sex or age. Conclusion: These data indicate the prognostic ability of hs-cTnT to predict mortality in hospitalized COVID-19 patients across all relevant patient groups.Clinical Trials registration number: NCT04338360.
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How this classification was reachedexpand
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 | 0.015 | 0.342 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".