Levosimendana em pacientes com insuficiência cardíaca descompensada: eficácia em uma coorte brasileira. Resultados do estudo BELIEF
Bibliographic record
Abstract
BACKGROUND: Levosimendan is a new inodilatory agent that enhances cardiac contractility via Ca(2+) sensitization and induces vasodilation through the activation of KATP/BKCa. OBJECTIVE: To study the efficacy and safety of levosimendan in a decompensated heart failure (DHF) Brazilian cohort, and in b-adrenergic agonist resistant patients. METHODS: The Brazilian Evaluation of Levosimendan Infusion Efficacy (BELIEF) study was prospective, multicenter, observational and included 182 high-risk DHF patients, all of which received open-label levosimendan. Primary end point was hospital discharge without additional inotropic therapy (responder). Secondary end points were changes in hemodynamics, clinical parameters, and brain natriuretic peptide (BNP). RESULTS: Mortality rate was 14.8%, and 139 of 182 patients were responders. In non responders it was 62.8%. Systolic blood pressure was a predictor of response. In b-adrenergic agonist resistant group, 55.8% were responders. Overall, 54 patients experienced at least one adverse event; most of them resolved either spontaneously or after levosimendan dose reduction. A significant improvement in quality of life was verified at 2-6 months of follow-up (p<0.0001). CONCLUSION: Our results suggest levosimendan infusion as an alternative therapy in the short term management of DHF patients. HF severity can influence the response to levosimendan treatment. Prospective studies are warranted in a Brazilian cohort including Chagas heart disease.
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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 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".