Lorundrostat may cause a clinically significant decline in renal function; a letter to the editor
Bibliographic record
Abstract
Lorundrostat is an aldosterone synthase inhibitor that can be used in patients with uncontrolled hypertension. It effectively lowers blood pressure, but there are concerns about the limited renal safety data available for lorundrostat. In order to address this issue, it is recommended that future research should incorporate more detailed kidney assessments, which would include monitoring for conditions such as proteinuria and acute kidney injury (AKI). This paper discusses the effects of lorundrostat on the estimated glomerular filtration rate (eGFR) and highlights the significant variability in these effects among individuals. The research shows that lorundrostat may cause a decline in eGFR exceeding one standard deviation above the mean change in approximately 16% of patients. In severe cases, 0.2% of patients may experience eGFR declines of ≥42 mL/min/1.73 m². These declines in eGFR could increase chronic kidney disease (CKD) stages, even in those with baseline eGFR >60 or 90 mL/min/1.73 m². In conclusion, while most lorundrostat patients do not experience severe eGFR declines, there is still a risk of clinically meaningful declines and CKD progression, particularly among susceptible individuals. Further research is needed to confirm these findings and identify renal risk factors in uncontrolled hypertension patients who receive aldosterone synthase inhibition.
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.015 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".