Intra‐individual variation of cystatin C and creatinine in pediatric solid organ transplant recipients
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Bibliographic record
Abstract
There is controversy about the feasibility of cystatin C (CysC) as a marker of glomerular filtration rate (GFR) post-transplant (Tx). We studied intra-patient variability of CysC in comparison with serum creatinine (SCr) in 20 children (11 males, mean age 11.5 +/- 6.4 yr) with solid organ transplants (14 kidney, four liver, and two combined liver + kidney transplants). The mean age at Tx was 7.0 +/- 5.6 yr. A total of 178 simultaneous SCr and CysC measurements (median 8 per patient) were analyzed. In addition, GFR was calculated using the Schwartz and a novel CysC-based formula. Intra-individual coefficient of variations (CV) was calculated as ratio of standard deviation over mean. The mean CV was significantly lower for SCr (7.71 +/- 4.16%) when compared with CysC (10.27 +/- 4.87, p = 0.04), but was no longer significantly different when excluding patients with a bladder augment. The CV of the GFR estimated by Schwartz formula (7.44 +/- 3.77) was significantly lower than GFR calculated from CysC (12.52 +/- 7.37), p = 0.001. The mean ratio between the Schwartz GFR and the GFR calculated from CysC was 102.6 +/- 12.8%, not significantly different from 100% (p = 0.3796). The only potential confounding factors to explain increased CV after Tx were gender and bladder augmentation, whereas calcineurin inhibitors or steroids did not influence CV. With the limitation of a small number of subjects, our data suggest that the CysC and the CysC-calculated GFR is equivalent but not better than SCr and Schwartz formula. We therefore conclude that measurement of CysC can be used for longitudinal intra-individual follow-up of renal function post-Tx.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it