Spontaneous perirenal hemorrhage in hemodialysis patient treated with selective embolization: A case series and review of the literature
Bibliographic record
Abstract
INTRODUCTION: Spontaneous perirenal hemorrhage (SPH) or Wunderlich syndrome, is a rare but potentially life-threatening condition. It is characterized by an unexpected bleeding in the kidneys and usually presents as an abdominal pain. Angiography and more recently selective renal arterial embolization are emerging as effective modalities for the diagnosis and treatment of SPH. In this article, we report a total of three cases of SPH in hemodialysis (HD) patients. METHODS: This is the experience of diagnosis and treatment of SPH in HD patients. FINDINGS: All three were female, between 37 and 54 years of age and were undergoing HD for end stage renal disease (ESRD). Two of patients presented with left flank or abdominal pain after termination of HD therapy, while the third patient presented with left abdominal pain during the dialysis session. All patients received anti-coagulation therapy for HD, but no abnormal levels of coagulation index were found. These patients were diagnosed using CT and two of them were diagnosed with acquired cystic kidney disease (ACKD). Selective renal arterial embolization was performed in the case of active bleeding. DISCUSSION: We are aware that HD patients have elevated risk of bleeding related complications, additionally the presence of an acute abdominal pain increases the suspicion of SPH as a possible cause. ACKD can be considered one of the possible risk factors for SPH in long-term HD patients. Interventional treatment for kidney injury is useful and safe for active bleeding in most cases.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".