Increased Creatinine Clearance in Acute Kidney Injury due to Heat Stroke
Bibliographic record
Abstract
Acute kidney injury (AKI) is associated with increased mortality and risk of chronic kidney disease (CKD). Whereas AKI is well known to occur frequently in patients with heat stroke, creatinine clearance levels of these patients have not been evaluated in literature. In this report, we present the case of a patient with increased creatinine clearance who developed AKI due to heat stroke. A 40-year-old male with no past medical history was admitted to the intensive care unit of our hospital due to AKI from heat stroke. Although he was diagnosed with stage 3 AKI at admission, his creatinine clearance, measured by a 12-h urine collection, was highly elevated to 230 mL/min/1.73 m 2 . His serum creatinine was decreased to the baseline level 12 h after admission, with fluid resuscitation. This case can suggest that creatinine clearance might be underestimated, although serum creatinine levels are elevated in AKI due to heat stroke. J Med Cases. 2018;9(3):90-91 doi: https://doi.org/10.14740/jmc3007w
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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; 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".