Teprasiran, a Small Interfering RNA, for the Prevention of Acute Kidney Injury in High-Risk Patients Undergoing Cardiac Surgery: A Randomized Clinical Study
Bibliographic record
Abstract
BACKGROUND: Acute kidney injury (AKI) affects up to 30% of patients undergoing cardiac surgery, leading to increased in-hospital and long-term morbidity and mortality. Teprasiran is a novel small interfering RNA that temporarily inhibits p53-mediated cell death that underlies AKI. METHODS: This prospective, multicenter, double-blind, randomized, controlled phase 2 trial evaluated the efficacy and safety of a single 10 mg/kg dose of teprasiran versus placebo (1:1), in reducing the incidence, severity, and duration of AKI after cardiac surgery in high-risk patients. The primary end point was the proportion of patients who developed AKI determined by serum creatinine by postoperative day 5. Other end points included AKI severity and duration using various prespecified criteria. To inform future clinical development, a composite end point of major adverse kidney events at day 90, including death, renal replacement therapy, and ≥25% reduction of estimated glomerular filtration rate was assessed. Both serum creatinine and serum cystatin-C were used for estimated glomerular filtration rate assessments. RESULTS: =0.02; odds ratio, 0.58 (95% CI, 0.37-0.92). AKI severity and duration were also improved with teprasiran: 2.5% of teprasiran- versus 6.7% of placebo-treated patients had grade 3 AKI; 7% teprasiran- versus 13% placebo-treated patients had AKI lasting for 5 days. No significant difference was observed for the major adverse kidney events at day 90 composite in the overall population. No safety issues were identified with teprasiran treatment. CONCLUSIONS: The incidence, severity, and duration of early AKI in high-risk patients undergoing cardiac surgery were significantly reduced after teprasiran administration. A phase 3 study with a major adverse kidney event at day 90 primary outcome that has recently completed enrollment was designed on the basis of these findings (NCT03510897). Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02610283.
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How this classification was reachedexpand
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".