Sequential organ failure assessment (SOFA) score as a predictor of acute kidney injury in COVID-19 patients: a systematic review and meta-analysis
Bibliographic record
Abstract
Background: The sequential organ failure assessment (SOFA) score is a tool used to describe organ failure in critically ill patients. Studies have showed that coronavirus disease 2019 (COVID-19) patients who develop predictor of acute kidney injury (AKI) often have an increased SOFA. Objective: This study aimed to evaluate the potential of SOFA score as a predictor AKI in COVID-19 patients. Methods: A systematic search was conducted on PubMed, Google Scholar, EBSCO-Host, and ProQuest. The risk of bias was assessed using the Newcastle-Ottawa Scale . Result: Out of the 9 studies reviewed, 7 showed a significant association between SOFA score and AKI. The meta-analysis of 3 studies gave mean differences of 1.66 in favor of the AKI group (95% CI 1.12 - 2.21). The heterogeneity was low (Tau2 result = 0.06, I2 result = 22% with p = 0.28) and the significant results for the overall effect showed a value of p < 0.00001. Conclusion: The SOFA score has the potential to be a good predictor of AKI development in COVID-19 patients, with a significant mean difference.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.005 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".