Post Hoc Analyses of SHIFT and PARADIGM-HF Highlight the Importance of Chronic Chagas' Cardiomyopathy <i>Comment on:</i> “Safety Profile and Efficacy of Ivabradine in Heart Failure Due to Chagas Heart Disease: A Post Hoc Analysis of the SHIFT Trial” by Bocchi <i>et al.</i>
Bibliographic record
Abstract
We read with interest the report by Bocchi and colleagues of their post hoc analysis of the Systolic Heart failure treatment with the If inhibitor ivabradine Trial (SHIFT), examining the effect of study drug in the 38 patients with chronic chagasic cardiomyopathy (CCC).1 The authors reported that study drug lowered heart rate and improved New York Heart Association class. The sample size was too small to allow estimation of the effect of treatment on mortality or hospitalization. However, this analysis did suggest that patients with CCC experienced high event rates, despite excellent background therapy. We examined outcomes in patients with CCC in the Prospective comparison of Angiotensin Receptor Neprilysin Inhibitor with Angiotensin Converting Enzyme Inhibitor to Determine Impact on Global Mortality and morbidity in Heart Failure (PARADIGM-HF) and the Aliskiren trial to Minimize OutcomeS in Patients with Heart failure (ATMOSPHERE).2, 3 These trials included 195 CCC patients from among a total of 2552 recruited in Latin America. Despite being younger and having less co-morbidity, the CCC patients had higher hospitalization and mortality rates, compared with other aetiologies, despite similarly good treatment.4 We also conducted an exploratory post hoc analysis of the effect of sacubitril/valsartan (formerly known as LCZ696) in CCC patients in PARADIGM-HF. Of a total of 113 patients, 58 were randomized to sacubitril/valsartan and 55 to enalapril. The two treatment groups were similar in terms of demographics, co-morbidity, and heart failure (HF) severity. Patients with CCC treated with sacubitril/valsartan, as compared with enalapril, had a lower risk of experiencing cardiovascular death or HF hospitalization, the primary composite endpoint, and each of its components (Figure). The point estimate for risk reduction was comparable with or greater than that seen with the drug vs. enalapril in the entire study population. This analysis is underpowered and should be interpreted with caution. CCC is a major health issue in Latin America and is now recognized in the USA and Europe, reflecting contemporary migration patterns.5-8 Indeed, a recent study from Brazil concluded that the population attributable mortality risk from CCC increased between 2002/2004 and 2012/2014.9 Future trials should consider recruiting larger numbers of patients with CCC to allow adequately powered subgroup analysis and even trials specifically in CCC would be justified, given the magnitude of this problem. Until that time, patients with CCC should be treated empirically with therapies recommended by guidelines, on the assumption that treatments for patients with reduced ejection fraction are effective, irrespective of aetiology of HF.
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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 | 0.102 | 0.233 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.010 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".