Renal pathology at autopsy in patients who died after hematopoietic stem cell transplantation
Bibliographic record
Abstract
Acute and chronic renal dysfunction are common after hematopoietic stem cell transplantation (HSCT). Although the pathology of chronic HSCT nephropathy is well described, the histologic changes that accompany acute renal dysfunction after HSCT are less well known because renal biopsies are rarely undertaken in the peritransplantation period. Archival renal tissue from consecutive HSCT recipients who died and underwent autopsy at a single center during an 8-year period was studied. Abnormalities of renal pathology were described, and associations of histologic abnormalities with clinical events were systemically studied. Abnormalities of renal histology were common among the 26 patients in this study. The 3 most common histologic abnormalities were glomerular sclerosis (19/26; 73%), tubular epithelial atypia (19/26; 73%), and tubular calcification (18/26; 69%). Tubulitis (16/24; 67%) and interstitial fibrosis (16/26; 62%) were also frequently observed. Clinical veno-occlusive disease was not associated with histologic evidence of thrombotic microangiopathy in the kidney at autopsy. Also, clinical graft-versus-host disease was not associated with renal tubulitis. Unexpectedly, the proportion of patients with tubular atrophy (54%) or interstitial fibrosis (62%) was high, considering the young age of the patients at transplantation and their normal pretransplantation creatinine clearance. Well-recognized histologic abnormalities are common in the kidneys of patients who die after HSCT. Although we did not demonstrate associations of these histologic changes with clinical variables before death, larger studies with prospectively collected renal tissue are warranted.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".