Vancomycin-Associated Acute Kidney Injury with a Steep Rise in Serum Creatinine
Bibliographic record
Abstract
BACKGROUND: Vancomycin-associated (VA) acute kidney injury (AKI) is being increasingly recognized. A distinct pattern of rapid rise in serum creatinine (sCr) during VA-AKI has occasionally been observed. However, such scenarios remain underreported. METHODS: We conducted an online survey at the American Society of Nephrology Communities forum and reviewed publications of VA-AKI via PubMed or Google searching for cases of precipitous AKI (those with rise in sCr ≥1.5 mg/dL/day) attributable to vancomycin. RESULTS: We identified 12 original cases compiled from 6 different hospitals and 4 published cases (n = 16; 38% women, age 43.5 ± 16 years, weight 108 ± 23 kg, body mass index 35 ± 7 kg/m2) of precipitous AKI observed shortly after large cumulative doses of VA (8.8 ± 5 g). The median steepest 24-h rise in sCr was 2.6 mg/dL (range 1.5-3.5 mg/dL) and the slope of the initial 48-h sCr rise was greater than that of a control AKI (non-VA, n = 48) group (2.03 ± 0.1 vs. 0.62 ± 0.0 mg/dL/day; p < 0.0001). The steep rise in sCr in the VA-AKI was not accompanied by anuria. Overt rhabdomyolysis was absent in all cases. Further, in 3 precipitous VA-AKI cases, simultaneous serum cystatin C values did not rise precipitously, suggesting that the reductions in glomerular filtration rate were overestimated by the sCr increase. CONCLUSIONS: VA-AKI can manifest with a precipitous rise in sCr shortly after a high cumulative dose of vancomycin. True toxic tubular injury overrepresented by the sCr rise is postulated.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".