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- Filippatos, G. S., et al.
(författare)
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Independent academic Data Monitoring Committees for clinical trials in cardiovascular and cardiometabolic diseases
- 2017
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Ingår i: European Journal of Heart Failure. - : Wiley. - 1388-9842 .- 1879-0844. ; 19:4, s. 449-456
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Tidskriftsartikel (refereegranskat)abstract
- Data Monitoring Committees (DMCs) play a crucial role in the conducting of clinical trials to ensure the safety of study participants and to maintain a trial's scientific integrity. Generally accepted standards exist for DMC composition and operational conduct. However, some relevant issues are not specifically addressed in current guidance documents, resulting in uncertainties regarding optimal approaches for communication between the DMC, steering committee, and sponsors, release of information, and liability protection for DMC members. The Heart Failure Association (HFA) of the European Society of Cardiology (ESC), in collaboration with the Clinical Trials Unit of the European Heart Agency (EHA) of the ESC convened a meeting of international experts in DMCs for cardiovascular and cardiometabolic clinical trials to identify specific issues and develop steps to resolve challenges faced by DMCs.The main recommendations from the meeting relate to methodological consistency, independence, managing conflicts of interest, liability protection, and training of future DMC members. This paper summarizes the key outcomes from this expert meeting, and describes the core set of activities that might be further developed and ultimately implemented by the ESC, HFA, and other interested ESC constituent bodies. The HFA will continue to work with stakeholders in cardiovascular and cardiometabolic clinical research to promote these goals.
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| 2. |
- Mogensen, U. M., et al.
(författare)
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Effect of sacubitril/valsartan on recurrent events in the Prospective comparison of ARNI with ACEI to Determine Impact on Global Mortality and morbidity in Heart Failure trial (PARADIGM-HF)
- 2018
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Ingår i: European Journal of Heart Failure. - : Wiley. - 1388-9842. ; 20:4, s. 760-768
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Tidskriftsartikel (refereegranskat)abstract
- Aims Recurrent hospitalizations are a major part of the disease burden in heart failure (HF), but conventional analyses consider only the first event. We compared the effect of sacubitril/valsartan vs. enalapril on recurrent events, incorporating all HF hospitalizations and cardiovascular (CV) deaths in PARADIGM-HF, using a variety of statistical approaches advocated for this type of analysis.& para;& para;Methods and results In PARADIGM-HF, a total of 8399 patients were randomized and followed for a median of 27 months. We applied various recurrent event analyses, including a negative binomial model, the Wei, Lin and Weissfeld (WLW), and Lin, Wei, Ying and Yang (LWYY) methods, and a joint frailty model, all adjusted for treatment and region. Among a total of 3181 primary endpoint events (including 1251 CV deaths) during the trial, only 2031 (63.8%) were first events (836 CV deaths). Among a total of 1195 patients with at least one HF hospitalization, 410 (34%) had at least one further HF hospitalization. Sacubitril/valsartan compared with enalapril reduced the risk of recurrent HF hospitalization using the negative binomial model [rate ratio (RR) 0.77, 95% confidence interval (CI) 0.67-0.89], the WLW method [hazard ratio (HR) 0.79, 95% CI 0.71-0.89], the LWYY method (RR 0.78, 95% CI 0.68-0.90), and the joint frailty model (HR 0.75, 95% CI 0.66-0.86) (all P <0.001). The effect of sacubitril/valsartan vs. enalapril on recurrent HF hospitalizations/CV death was similar.& para;& para;Conclusions In PARADIGM-HF, approximately one third of patients with a primary endpoint (time-to-first) experienced a further event. Compared with enalapril, sacubitril/valsartan reduced both first and recurrent events. The treatment effect size was similar, regardless of the statistical approach applied.
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| 3. |
- Simpson, J., et al.
(författare)
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Prognostic Models Derived in PARADIGM-HF and Validated in ATMOSPHERE and the Swedish Heart Failure Registry to Predict Mortality and Morbidity in Chronic Heart Failure
- 2020
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Ingår i: JAMA Cardiology. - : American Medical Association (AMA). - 2380-6583 .- 2380-6591. ; 5:4, s. 432-441
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Tidskriftsartikel (refereegranskat)abstract
- Importance: Accurate prediction of risk of death or hospitalizations in patients with heart failure (HF) may allow physicians to explore how more accurate decisions regarding appropriateness and timing of disease-modifying treatments, advanced therapies, or the need for end-of-life care can be made. Objective: To develop and validate a prognostic model for patients with HF. Design, Setting, and Participants: Multivariable analyses were performed in a stepwise fashion. Harrell C statistic was used to assess the discriminative ability. The derivation cohort was Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure trial (PARADIGM-HF) participants. The models were validated using the Aliskiren Trial to Minimize Outcomes in Patients with Heart Failure Trial (ATMOSPHERE) study and in the Swedish Heart Failure Registry (SwedeHF). A total of 8399 participants enrolled in PARADIGM-HF. Data were analyzed between June 2016 and June 2018. Main Outcomes and Measures: Cardiovascular death, all-cause mortality, and the composite of cardiovascular death or HF hospitalization at both 1 and 2 years. Results: Complete baseline clinical data were available for 8011 patients in PARADIGM-HF. The mean (SD) age of participants was 64 (11.4) years, 78.2% were men (n = 6567 of 8011), and 70.6% were New York Heart Association class II (n = 5919 of 8011). During a mean follow-up of 27 months, 1546 patients died, and 2031 had a cardiovascular death or HF hospitalization. The common variables were: Male sex, race/ethnicity (black or Asian), region (Central Europe or Latin America), HF duration of more than 5 years, New York Heart Association class III/IV, left ventricular ejection fraction, diabetes mellitus, β-blocker use at baseline, and allocation to sacubitril/valsartan. Ranked by χ2, N-terminal pro brain natriuretic peptide was the single most powerful independent predictor of each outcome. The C statistic at 1 and 2 years was 0.74 (95% CI, 0.71-0.76) and 0.71 (95% CI, 0.70-0.73) for the primary composite end point, 0.73 (95% CI, 0.71-0.75) and 0.71 (95% CI, 0.69-0.73) for cardiovascular death, and 0.71 (95% CI, 0.69-0.74) and 0.70 (95% CI, 0.67-0.74) for all-cause death, respectively. When validated in ATMOSPHERE, the C statistic at 1 and 2 years was 0.71 (95% CI, 0.69-0.72) and 0.70 (95% CI, 0.68-0.71) for the primary composite end point, 0.71 (95% CI, 0.69-0.74) and 0.70 (95% CI, 0.69-0.72) for cardiovascular death, and 0.71 (95% CI, 0.69-0.74) and 0.70 (95% CI, 0.68-0.72) for all-cause death, respectively. An online calculator was created to allow calculation of an individual's risk (http://www.predict-hf.com). Conclusions and Relevance: Predictive models performed well and were developed and externally validated in large cohorts of geographically representative patients, comprehensively characterized with clinical and laboratory data including natriuretic peptides, who were receiving contemporary evidence-based treatment. © 2020 American Medical Association. All rights reserved.
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