Severe Acute Kidney Injury and Multiple Organ Failure in a 17-Day-Old Newborn: When Pathology Makes the Difference
Bibliographic record
Abstract
RATIONALE: Acute tubulointerstitial nephritis (ATIN) in children is most commonly due to allergic drug reactions. In neonates, diagnosis of ATIN is clinically suspected and a kidney biopsy is not routinely performed. PRESENTING CONCERN: A 17-day-old newborn presented with vomiting and dehydration, along with anuric acute kidney injury, severe electrolyte disturbances, hypocomplementemia, and thrombocytopenia. Abdominal ultrasound revealed bilateral nephromegaly and hepatosplenomegaly. The patient was promptly started on intravenous (IV) fluid and broad-spectrum antibiotics. His electrolyte disturbances were corrected as per standard guidelines. The rapid progressive clinical deterioration despite maximal treatment and the unclear etiology influenced the decision to proceed to a kidney biopsy. Histopathological findings revealed diffuse interstitial edema with a massive polymorphic cellular infiltrate and destruction of tubular structures, consistent with severe ATIN. Elements of thrombotic microangiopathy (TMA) were observed. DIAGNOSIS: The clinical presentation combined with imaging and histopathological findings was suggestive of ATIN caused by a severe acute bacterial pyelonephritis. INTERVENTION: Methylprednisolone pulses followed by oral prednisolone were administered. Antibiotics were continued for 10 days. The patient was kept on invasive mechanical ventilation and on peritoneal dialysis for 12 days. OUTCOME: His condition stabilized following steroid pulses. His renal function progressively improved, and renal replacement therapy was weaned off. His renal ultrasound normalized. He has maintained a normal blood pressure, urinalysis, and renal function over the past 5 years. NOVEL FINDING: This case reports a severe presentation of acute bacterial pyelonephritis in a neonate. It highlighted the involvement of complement activation in severe infectious process. Histopathological findings of ATIN and TMA played a crucial role in understanding the physiopathology and severity of the disease.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".