A Report on 4 New Cases of Nephrogenic Fibrosing Dermopathy in Chronic Hemodialysis Patients
Bibliographic record
Abstract
Nephrogenic fibrosing dermopathy (NFD) is a rare entity affecting patients with renal failure, often on chronic dialysis or after transplantation (TXP). The patient profile at risk for this debilitating condition is yet undefined as is the role of renal failure in its etiology. We diagnosed 4 chronic hemodialysis (HD) patients with NFD. A 55‐year‐old Caucasian male on HD for 5 years, secondary to diabetic nephropathy, developed woody, indurated skin of the extremities, decreased mobility, and wheelchair dependence. He died within 1 year. A 66‐year‐old African‐American male with diabetes, hypertension, and pancreatic cancer developed thick indurated skin on his extremities after being on HD for approximately 20 months. He died 3 months later from sepsis. A 26‐year‐old Caucasian female on HD for approximately 10 years, secondary to hyperoxaluria‐induced renal failure, had undergone combined liver and kidney TXP with primary nonfunction of the renal TXP. She succumbed to cholangitis approximately 1 year after progressive skin thickening and joint contractures were noted. A 75‐year‐old Caucasian female with renal failure secondary to recurrent hemolytic uremic syndrome and TXP failure was dialysis dependent for 6 years. Over a 3‐month period, she developed skin changes consistent with NFD and entered hospice care secondary to marked deterioration in her quality of life. In all of these cases, skin changes were restricted to the extremities, sparing the trunk, face, and internal organs. Skin biopsy findings included thickened dermis with particularly thickened collagen bundles, mucin deposition, and fibroblast proliferation and were distinct from scleromyxedema and scleroderma. Autoimmune disease workup was negative. Indeed, NFD is a novel cutaneous fibrosing disorder of progressively debilitating nature in patients with renal failure that needs further clinical and pathological characterization.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".