Impact of High Troponin Level on the Outcome in COVID-19 Positive Patients
Bibliographic record
Abstract
Purpose: COVID-19 is a new disease caused by the recently discovered SARS-CoV-2 virus. The COVID-19 disease manifests in several ways and it may affect various systems, including the gastrointestinal, musculoskeletal, neurological, cardiovascular, and pulmonary systems. Individuals who have ad-additional health conditions, such as cardiovascular disorders, are particularly more likely to experience illness and death. This study aimed to assess the clinical effect of COVID-19 on myocardial injury, as measured by troponin elevation, and to determine if this effect has an impact on the outcome. Patients and Methods: This retrospective study was conducted at King Saud Medical City. The electronic medical records used to identify all admitted patients between March 23 and June 15, 2020, with a laboratory-confirmed positive COVID-19 diagnosis who had troponin I measured. Results: During the study period, 768 COVID-19-positive patients were hospitalized. Of those, 187 patients were excluded because the troponin level was not measured. The remaining 581 (75.7%) had troponin I measured. Overall, 89 of 581 (15.3%) patients died. Of those, 67.8% were in the markedly elevated cTnI group, 8.5% were in the mildly elevated cTnI group, whereas no deaths were reported in the group with normal cTnI levels. Conclusion: Myocardial injury was observed in COVID-19-admitted patients at a significant level that warrants attention to this consequence. In older individuals with pre-existing cardiovascular comorbidities, the diagnosis of myocardial injury was linked to a higher likelihood of being admitted to the intensive care unit, experiencing a worse prognosis, and ultimately, death.
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 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".