Prior Use of Renin-Angiotensin System Inhibitors and Risk of Renal Replacement Therapy in Critically Ill Elderly Patients With Sepsis: A Population-Based Cohort Study
Bibliographic record
Abstract
OBJECTIVES: We sought to estimate the association between chronic use of renin-angiotensin system inhibitors and acute kidney injury requiring renal replacement therapy in critically ill adult patients with sepsis. DESIGN: Population-based cohort study in Ontario, Canada. SETTING: ICUs in Ontario, Canada, between April 2008 and March 2019. PATIENTS: Elderly patients admitted to an ICU with a sepsis diagnosis; we excluded patients with established indications of renin-angiotensin system inhibitors. INTERVENTIONS: The prior use (i.e., within 100 d of hospitalization) of an angiotensin-converting enzyme inhibitor or an angiotensin II receptor blocker served as the main exposure of interest; the active comparator was the prior use of calcium channel blockers. MEASUREMENTS AND MAIN RESULTS: Acute kidney injury requiring renal replacement therapy was the primary outcome. Septic shock and all-cause mortality at 30 days served as secondary outcomes. We fitted multivariable modified Poisson regression models to adjust for potential confounders; associations were reported as risk ratios (RRs) alongside 95% CIs. We included 8621 patients, of whom 81% received a renin-angiotensin system inhibitor; mean age was 78 years. Renal replacement therapy was performed in 3.2% of patients; compared with the prior use of a calcium channel blocker, prior use of a renin-angiotensin system inhibitor was associated with a higher risk of acute kidney injury and renal replacement therapy (RR, 1.57; 95% CI, 1.10-2.24), septic shock (RR, 1.18; 95% CI, 1.04-1.33), but not all-cause mortality at 30 days (RR, 0.93; 95% CI, 0.88-1.01). Our results were robust across sensitivity analyses. CONCLUSIONS: Chronic use of a renin-angiotensin system inhibitor is associated with a higher risk of renal replacement therapy and septic shock in adult patients with sepsis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".