C-reactive protein, D-dimer, erythrocyte sedimentation rate, and troponin in intensive care unit patients with COVID-19 in Iran
Bibliographic record
Abstract
Background: The coronavirus disease 2019 (COVID-19) pandemic in Iran has led to a lack of intensive care unit (ICU) facilities. This study examines C-reactive protein (CRP), D-dimer, erythrocyte sedimentation rate (ESR), and troponin in ICU patients with COVID-19 in comparison to COVID-19 patients admitted to the wards in Iran. Materials and Methods: In a case–control study, troponin, CRP, ESR, and D-dimer were compared in the case samples of 109 COVID-19 patients admitted to the ICU, and in the control group, 140 COVID-19 patients admitted to the wards. Results: The mean of CRP ( P < 0.001) and D-dimer ( P < 0.001) was higher, whereas troponin ( P < 0.001) was lower in patients admitted to the ICU, but no significant difference was observed between the values of ESR ( P = 0.292) in the two groups. Conclusion: This study showed that the values of CRP and D-dimer were higher in patients admitted to the ICU, but no significant difference was observed between the values of ESR in the two groups.
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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 | 0.001 | 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) | 0.001 | 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".