Opportunistic screening for heart failure with natriuretic peptides in patients with atrial fibrillation: a meta-analysis of individual participant data of four screening studies

Heart ◽  
2018 ◽  
Vol 104 (15) ◽  
pp. 1236.1-1237 ◽  
Author(s):  
Sander van Doorn ◽  
Geert-Jan Geersing ◽  
Rogier F Kievit ◽  
Yvonne van Mourik ◽  
Loes C Bertens ◽  
...  

ObjectiveHeart failure (HF) often coexists in atrial fibrillation (AF) but is frequently unrecognised due to overlapping symptomatology. Furthermore, AF can cause elevated natriuretic peptide levels, impairing its diagnostic value for HF detection. We aimed to assess the prevalence of previously unknown HF in community-dwelling patients with AF, and to determine the diagnostic value of the amino-terminal pro B-type natriuretic peptide (NTproBNP) for HF screening in patients with AF.MethodsIndividual participant data from four HF-screening studies in older community-dwelling persons were combined. Presence or absence of HF was in each study established by an expert panel following the criteria of the European Society of Cardiology. We performed a two-stage patient-level meta-analysis to calculate traditional diagnostic indices.ResultsOf the 1941 individuals included in the four studies, 196 (10.1%) had AF at baseline. HF was uncovered in 83 (43%) of these 196 patients with AF, versus 381 (19.7%) in those without AF at baseline. Median NTproBNP levels of patients with AF with and without HF were 744 pg/mL and 211 pg/mL, respectively. At the cut-point of 125 pg/mL, sensitivity was 93%, specificity 35%, and positive and negative predictive values 51% and 86%, respectively. Only 23% of all patients with AF had an NTproBNP level below the 125 pg/mL cut-point, with still a 13% prevalence of HF in this group.ConclusionsWith a prevalence of nearly 50%, unrecognised HF is common among community-dwelling patients with AF. Given the high prior change, natriuretic peptides are diagnostically not helpful, and straightforward echocardiography seems to be the preferred strategy for HF screening in patients with AF.

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yuntao Chen ◽  
Adriaan A. Voors ◽  
Tiny Jaarsma ◽  
Chim C. Lang ◽  
Iziah E. Sama ◽  
...  

Abstract Background Prognostic models developed in general cohorts with a mixture of heart failure (HF) phenotypes, though more widely applicable, are also likely to yield larger prediction errors in settings where the HF phenotypes have substantially different baseline mortality rates or different predictor-outcome associations. This study sought to use individual participant data meta-analysis to develop an HF phenotype stratified model for predicting 1-year mortality in patients admitted with acute HF. Methods Four prospective European cohorts were used to develop an HF phenotype stratified model. Cox model with two rounds of backward elimination was used to derive the prognostic index. Weibull model was used to obtain the baseline hazard functions. The internal-external cross-validation (IECV) approach was used to evaluate the generalizability of the developed model in terms of discrimination and calibration. Results 3577 acute HF patients were included, of which 2368 were classified as having HF with reduced ejection fraction (EF) (HFrEF; EF < 40%), 588 as having HF with midrange EF (HFmrEF; EF 40–49%), and 621 as having HF with preserved EF (HFpEF; EF ≥ 50%). A total of 11 readily available variables built up the prognostic index. For four of these predictor variables, namely systolic blood pressure, serum creatinine, myocardial infarction, and diabetes, the effect differed across the three HF phenotypes. With a weighted IECV-adjusted AUC of 0.79 (0.74–0.83) for HFrEF, 0.74 (0.70–0.79) for HFmrEF, and 0.74 (0.71–0.77) for HFpEF, the model showed excellent discrimination. Moreover, there was a good agreement between the average observed and predicted 1-year mortality risks, especially after recalibration of the baseline mortality risks. Conclusions Our HF phenotype stratified model showed excellent generalizability across four European cohorts and may provide a useful tool in HF phenotype-specific clinical decision-making.


2019 ◽  
Vol 23 (25) ◽  
pp. 1-98 ◽  
Author(s):  
Rod S Taylor ◽  
Sarah Walker ◽  
Oriana Ciani ◽  
Fiona Warren ◽  
Neil A Smart ◽  
...  

Background Current national and international guidelines on the management of heart failure (HF) recommend exercise-based cardiac rehabilitation (ExCR), but do not differentiate this recommendation according to patient subgroups. Objectives (1) To obtain definitive estimates of the impact of ExCR interventions compared with no exercise intervention (control) on mortality, hospitalisation, exercise capacity and health-related quality of life (HRQoL) in HF patients; (2) to determine the differential (subgroup) effects of ExCR in HF patients according to their age, sex, left ventricular ejection fraction, HF aetiology, New York Heart Association class and baseline exercise capacity; and (3) to assess whether or not the change in exercise capacity mediates for the impact of the ExCR on final outcomes (mortality, hospitalisation and HRQoL), and determine if this is an acceptable surrogate end point. Design This was an individual participant data (IPD) meta-analysis. Setting An international literature review. Participants HF patients in randomised controlled trials (RCTs) of ExCR. Interventions ExCR for at least 3 weeks compared with a no-exercise control, with 6 months’ follow-up. Main outcome measures All-cause and HF-specific mortality, all-cause and HF-specific hospitalisation, exercise capacity and HRQoL. Data sources IPD from eligible RCTs. Review methods RCTs from the Exercise Training Meta-Analysis of Trials for Chronic Heart Failure (ExTraMATCH/ExTraMATCH II) IPD meta-analysis and a 2014 Cochrane systematic review of ExCR (Taylor RS, Sagar VA, Davies EJ, Briscoe S, Coats AJ, Dalal H, et al. Exercise-based rehabilitation for heart failure. Cochrane Database Syst Rev 2014;4:CD003331). Results Out of the 23 eligible RCTs (4398 patients), 19 RCTs (3990 patients) contributed data to this IPD meta-analysis. There was a wide variation in exercise programme prescriptions across included studies. Compared with control, there was no statistically significant difference in pooled time-to-event estimates in favour of ExCR, although confidence intervals (CIs) were wide: all-cause mortality had a hazard ratio (HR) of 0.83 (95% CI 0.67 to 1.04); HF-related mortality had a HR of 0.84 (95% CI 0.49 to 1.46); all-cause hospitalisation had a HR of 0.90 (95% CI 0.76 to 1.06); and HF-related hospitalisation had a HR of 0.98 (95% CI 0.72 to 1.35). There was a statistically significant difference in favour of ExCR for exercise capacity and HRQoL. Compared with the control, improvements were seen in the 6-minute walk test (6MWT) (mean 21.0 m, 95% CI 1.57 to 40.4 m) and Minnesota Living with Heart Failure Questionnaire score (mean –5.94, 95% CI –1.0 to –10.9; lower scores indicate improved HRQoL) at 12 months’ follow-up. No strong evidence for differential intervention effects across patient characteristics was found for any outcomes. Moderate to good levels of correlation (R 2 trial > 50% and p > 0.50) between peak oxygen uptake (VO2peak) or the 6MWT with mortality and HRQoL were seen. The estimated surrogate threshold effect was an increase of 1.6 to 4.6 ml/kg/minute for VO2peak. Limitations There was a lack of consistency in how included RCTs defined and collected the outcomes: it was not possible to obtain IPD from all includable trials for all outcomes and patient-level data on exercise adherence was not sought. Conclusions In comparison with the no-exercise control, participation in ExCR improved the exercise and HRQoL in HF patients, but appeared to have no effect on their mortality or hospitalisation. No strong evidence was found of differential intervention effects of ExCR across patient characteristics. VO2peak and 6MWT may be suitable surrogate end points for the treatment effect of ExCR on mortality and HRQoL in HF. Future studies should aim to achieve a consensus on the definition of outcomes and promote reporting of a core set of HF data. The research team also seeks to extend current policies to encourage study authors to allow access to RCT data for the purpose of meta-analysis. Study registration This study is registered as PROSPERO CRD42014007170. Funding The National Institute for Health Research Health Technology Assessment programme.


EP Europace ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1463-1469
Author(s):  
Bastiaan Geelhoed ◽  
Christin S Börschel ◽  
Teemu Niiranen ◽  
Tarja Palosaari ◽  
Aki S Havulinna ◽  
...  

Abstract Aims Natriuretic peptides are extensively studied biomarkers for atrial fibrillation (AF) and heart failure (HF). Their role in the pathogenesis of both diseases is not entirely understood and previous studies several single-nucleotide polymorphisms (SNPs) at the NPPA-NPPB locus associated with natriuretic peptides have been identified. We investigated the causal relationship between natriuretic peptides and AF as well as HF using a Mendelian randomization approach. Methods and results N-terminal pro B-type natriuretic peptide (NT-proBNP) (N = 6669), B-type natriuretic peptide (BNP) (N = 6674), and mid-regional pro atrial natriuretic peptide (MR-proANP) (N = 6813) were measured in the FINRISK 1997 cohort. N = 30 common SNPs related to NT-proBNP, BNP, and MR-proANP were selected from studies. We performed six Mendelian randomizations for all three natriuretic peptide biomarkers and for both outcomes, AF and HF, separately. Polygenic risk scores (PRSs) based on multiple SNPs were used as genetic instrumental variable in Mendelian randomizations. Polygenic risk scores were significantly associated with the three natriuretic peptides. Polygenic risk scores were not significantly associated with incident AF nor HF. Most cardiovascular risk factors showed significant confounding percentages, but no association with PRS. A causal relation except for small causal betas is unlikely. Conclusion In our Mendelian randomization approach, we confirmed an association between common genetic variation at the NPPA-NPPB locus and natriuretic peptides. A strong causal relationship between natriuretic peptides and incidence of AF as well as HF at the community-level was ruled out. Therapeutic approaches targeting natriuretic peptides will therefore very likely work through indirect mechanisms.


BMJ ◽  
2019 ◽  
pp. l5456
Author(s):  
Rob Cook ◽  
Peter Davidson ◽  
Rosie Martin

The studyTaylor RS, Walker S, Ciani O, et al. Exercise-based cardiac rehabilitation for chronic heart failure: the EXTRAMATCH II individual participant data meta-analysis. Health Technol Assess 2019;23:1-98.This project was funded by the NIHR Health Technology Assessment Programme (project number 15/80/30).To read the full NIHR Signal, go to https://discover.dc.nihr.ac.uk/content/signal-000803/cardiac-rehabilitation-for-heart-failure-can-improve-quality-of-life-and-fitness


2021 ◽  
Vol 25 ◽  
pp. 4140
Author(s):  
A. M. Chaulin ◽  
D. V. Duplyakov

Natriuretic peptides (NPs) are key diagnostic and prognostic biomarkers for patients with heart failure (HF). The main mechanism for increasing serum NP levels, which is characteristic of heart failure, is secretion in response to myocardial wall distention. At the same time, according to Russian and foreign literature, an increase in NPs is reported in a number of many other conditions that are not associated with HF. The study of these causes and mechanisms is necessary to improve the differential diagnosis of HF.This article discusses the mechanisms of increasing NPs and their diagnostic value in heart failure, as well as a number of other conditions, such as acute coronary syndrome and coronary artery disease, atrial fibrillation, exercise, kidney failure, taking cardiotoxic drugs (chemotherapy) and sacubitril/valsartan. The article also provides data on identifying NPs in non-invasively obtained biological fluids (urine and oral fluid).


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Boerschel ◽  
B Geelhoed ◽  
T Niiranen ◽  
A.S Havulinna ◽  
C.J.K Fouodo ◽  
...  

Abstract Background Natriuretic peptides are extensively studied biomarkers for atrial fibrillation (AF) and heart failure (HF). Their role in the pathogenesis of both diseases is not entirely understood and in previous studies several single nucleotide polymorphisms (SNPs) at the NPPA-NPPB locus associated with natriuretic peptides have been identified. Purpose We investigated whether a causal relationship exists between natriuretic peptides and AF as well as HF using a Mendelian randomization approach. Methods N-terminal pro B-type natriuretic peptide (NT-proBNP) (N=6669), B-type natriuretic peptide (BNP) (N=6674) and mid-regional pro atrial natriuretic peptide (MR-proANP) (N=6813) were measured in the FINRISK 1997 cohort. Thirty common SNPs related to NT-proBNP, BNP and MR-proANP were selected from prior studies. We performed six Mendelian randomizations for all three natriuretic peptide biomarkers and for both outcomes, AF and HF separately. Polygenic risk scores (PRS) based on multiple SNPs were used as the genetic instrumental variable in Mendelian randomizations. Results PRS were significantly associated with the three natriuretic peptides. PRS were not significantly associated with incident AF nor HF. Most cardiovascular risk factors showed significant confounding percentages, but no association with PRS. A causal relation, other than a weak one, is unlikely. Conclusion In our Mendelian randomization approach, based on common genetic variation at the NPPA-NPPB locus, associations of the common polymorphisms with natriuretic peptides and the protein biomarkers themselves with incident disease could be confirmed. A strong causal relationship between natriuretic peptides and incidence of AF as well as HF was ruled out. Therapeutic approaches targeting natriuretic peptides will therefore very likely work through indirect mechanisms. Comparison of hazard ratios Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme, German Ministry of Research and Education


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