Idiopathic Renal Infarct as a Rare Cause of Acute Abdominal Pain: A Case Report and Review of Literature
Bibliographic record
Abstract
Renal infarction is a very rare disease. Due to the non-specific clinical presentation, diagnosis is often missed or delayed. As the result, a prolonged period of ischemia and irreversible renal damage is common. The broad availability of high-quality computed tomography (CT) imaging has made it possible to identify the cases early and initiate prompt treatment. We report a case of renal infarction that presented with acute abdomen. A 56-year-old man with the medical history of hypertension and diabetes mellitus presented to emergency department with a complaint of sudden onset of severe right lower abdominal pain for 1 day. CT scan of abdomen with contrast showed the striated appearance of the right kidney with hypoperfusion and wedge-shaped hypodensities throughout the kidney. After an extensive workup, no apparent cause of renal infarct was found. Due to the absence of underlying cause of atrial fibrillation or hypercoagulable disorder, no anticoagulation was started and he was discharged home on aspirin. Although the incidence of renal infarction is uncommon, it should always be suspected in the patient presenting with flank pain with nausea, vomiting, and fever, especially in presence of risk factor like atrial fibrillation and elevation of lactose dehydrogenase (LDH) with normal or mildly elevated aminotransferases. Early diagnosis and management of renal infarction is important to prevent a prolonged period of ischemia and irreversible damage. World J Nephrol Urol. 2018;7(2):53-55 doi: https://doi.org/10.14740/wjnu338e
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".