Prior Use of Calcium Channel Blockers Is Associated With Decreased Mortality in Critically Ill Patients With Sepsis: A Prospective Observational Study
Bibliographic record
Abstract
OBJECTIVES: Experimental studies suggest that calcium channel blockers can improve sepsis outcome. The aim of this study was to determine the association between prior use of calcium channel blockers and the outcome of patients admitted to the ICU with sepsis. DESIGN: A prospective observational study. SETTING: The ICUs of two tertiary care hospitals in the Netherlands. PATIENTS: In total, 1,060 consecutive patients admitted with sepsis were analyzed, 18.6% of whom used calcium channel blockers. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Considering large baseline differences between calcium channel blocker users and nonusers, a propensity score matched cohort was constructed to account for differential likelihoods of receiving calcium channel blockers. Fifteen plasma biomarkers providing insight in key host responses implicated in sepsis pathogenesis were measured during the first 4 days after admission. Severity of illness over the first 24 hours, sites of infection and causative pathogens were similar in both groups. Prior use of calcium channel blockers was associated with improved 30-day survival in the propensity-matched cohort (20.2% vs 32.9% in non-calcium channel blockers users; p = 0.009) and in multivariate analysis (odds ratio, 0.48; 95% CI, 0.31-0.74; p = 0.0007). Prior calcium channel blocker use was not associated with changes in the plasma levels of host biomarkers indicative of activation of the cytokine network, the vascular endothelium and the coagulation system, with the exception of antithrombin levels, which were less decreased in calcium channel blocker users. CONCLUSIONS: Prior calcium channel blocker use is associated with reduced mortality in patients following ICU admission with sepsis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".