Thrombotic Thrombocytopenic Purpura‐Hemolytic Uremic Syndrome in a Hemodialysis Patient Following Hematoma
Bibliographic record
Abstract
Thrombotic thrombocytopenic purpura‐hemolytic uremic syndrome (TTP‐HUS) is a rare clinical syndrome defined by the presence of thrombocytopenia and microangiopathic hemolytic anemia. The etiology of TTP‐HUS is diverse, and many cases remain idiopathic. Recognized causes include Shiga toxin‐producing Escherichia coli , quinine toxicity, certain cancers and cancer chemotherapy, antiphospholipid antibodies, pregnancy and OCP's, cyclosporine, tacrolimus, OKT3, antiplatelet agents, AIDS and HIV infection, and pneumococcal infection. After an extensive literature review, we found no cases of TTP‐HUS following traumatic injury. We present the case of a 57‐year‐old white male hemodialysis patient with end‐stage renal disease secondary to type 2 diabetes, severe CAD with multiple MI's, HTN, history of coronary artery bypass grafting ×4, and transmyocardial reperfusion. The patient fell in the bathroom with questionable LOC and was found to have a subarachnoid hemorrhage diagnosed by head CT. 4 days after the fall, he developed TTP‐HUS with severe thrombocytopenia (platelet‐count falling from 181,000 to 6000), hemolytic anemia, mental status changes, and renal function abnormalities. He was treated by plasma exchange with subsequent improvement of symptoms and laboratory abnormalities. Of interest, we present another case of TTP‐HUS following trauma. A 42‐year‐old white male with no applicable medical history fell 6 feet from a ladder, developing a renal hematoma. 4 days after the fall, he developed TTP‐HUS. This patient was also treated with plasma exchange with subsequent improvement of symptoms and laboratory abnormalities. Based on these two case studies, we suggest that hematoma be considered as a potential trigger in the development of TTP‐HUS.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".