Prospective Monitoring of BK Polyomavirus Infection Early Posttransplantation in Nonrenal Solid Organ Transplant Recipients
Bibliographic record
Abstract
BACKGROUND: BK virus-associated nephropathy is an important cause of renal dysfunction in renal transplant recipients. Renal dysfunction after nonrenal solid organ transplantation (NRSOT) is common; however, the impact of BK virus remains uncertain. METHODS: Sixty (7 heart, 25 liver, and 28 lung) NRSOT recipients were enrolled in this single center prospective longitudinal study. Urine and plasma were collected for detection of BK viral load using a real-time quantitative polymerase chain reaction assay at transplantation and at 3, 6, and 9 months posttransplantation. Demographic and clinical data including serum creatinine and immunosuppressive therapy were also collected. RESULTS: BK viruria was detected in 16 of 193 (8.3%) samples corresponding to 9 of 60 (15%) subjects. The median BK viral load was 1.12 x 10 (range, 1.1 x 10-2.66 x 10) copies per milliliter. No viremia was detected. In seven of nine, viruria occurred by 3 months posttransplantation. At 9 months of posttransplantation, the median Modification of Diet in Renal Disease-estimated glomerular filtration rate in those with BK viruria on at least one sample was similar to those without viruria (58.0 [IQR 43.1-60.7] mL/min/1.73 m vs. 61.4 [IQR 50.6-74.4] mL/min/1.73 m; P=0.39). CONCLUSIONS: Although BK infection was common in this NRSOT population, BK viremia was not observed and there was no association between BK viruria and renal dysfunction. Our data suggest that routine surveillance for BK virus early posttransplantation in NRSOT may not be warranted but should be further examined in a larger multicenter trial.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".