A Long Road to Diagnosis: A Case with Unexpected Twists
Bibliographic record
Abstract
Introduction: It is often thought that cases of obstructive acute kidney injury (AKI) are straightforward to diagnose and manage. The following case report explores how experienced physicians navigated an unusual case and the convoluted path taken to arrive at the eventual diagnosis. Case Description: A 74 year-old previously healthy male presented to the hospital with syncope in the context of six weeks of nausea, vomiting, anorexia and one year of nocturia. Labwork showed potassium of 8.1mmol/L and creatinine (Cr) of 14.97mg/dL (baseline of 1.07mg/dL). EKG showed peaked T-waves. After management of hyperkalemia, significant arrhythmias persisted so dialysis was initiated. A renal ultrasound showed bilateral hydronephrosis and ascites. Presuming prostactomegaly as the case of the obstruction, a foley catheter was placed and drained 445mL of urine, but he became oligoanuric. Urine microscopy showed one heme-granular cast. Urine albumin to creatinine ratio was 101mg/g. A serologic work-up was negative and kidney biopsy was consistent with acute tubular necrosis (ATN). However, a repeat ultrasound showed no improvement in bilateral hydronephrosis and ascites. A paracentesis revealed malignant cells on cytology. Discussions were held regarding pursuing a contrast-enhanced CT for work-up of malignancy. However, in the context of severe AKI, a shared decision was made to delay the CT as it can impede renal recovery. Serum tumor markers revealed elevated Ca19-9, CA125, and CEA. A colonoscopy showed two colonic masses. We obtained a contrast-enhanced CT as we felt the potential information we would gain outweighed the risks, which showed metastatic malignancy with retroperitoneal masses causing bilateral ureteric obstruction and hydronephrosis. Nephrostomy tubes were inserted and the patient experienced significant renal recovery. He was discharged with a Cr of 1.4 mg/dL (eGFR of 53mL/min/1.73m2). Discussion: From this case, we learned it is imperative to re-evaluate initial assumptions when an element of the case is unusual, such as why he became oligoanuric after a foley was placed if the obstruction was relieved and why he had new-onset ascites. Persistent anomalies prompted additional studies, which led to the uncovering of the previously unknown metastatic malignancy, the true cause of the patient's AKI. This case highlighted the dangers of early diagnostic closure and the importance of thorough investigation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".