Severe Acute Kidney Injury Secondary to Rhabdomyolysis in Diabetic Ketoacidosis (DKA): A Case Report
Bibliographic record
Abstract
Delayed diagnosis and treatment of rhabdomyolysis in diabetic emergencies may lead to irreversible kidney damage and progress to chronic kidney disease. Therefore, early detection and correction of electrolyte disturbances, resulting from diabetes and risk factors for rhabdomyolysis, is essential to avoid complications and renal function improvement. In this case report, a patient with two weeks history of polyuria, polydipsia, and nocturia showed up at ED with epigastric abdominal pain, nausea, and non-bloody vomiting. The patient was in a diabetic ketoacidosis episode in which rhabdomyolysis developed and complicated into acute renal failure. Few case reports in the literature have mentioned the association of hypophosphatemia, severe acidosis, and high osmolarity as contributors to rhabdomyolysis leading to acute kidney injury (AKI) in patients with hyperglycemic emergency cases. To our knowledge, this is the first case reported in Saudi Arabia. Therefore, our unique case sheds some light on an overlooked complication in diabetic ketoacidosis (DKA), rhabdomyolysis, in which electrolyte abnormalities are the most probable trigger.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".