scholarly journals Protocol for a systematic review and individual participant data meta-analysis of B-type natriuretic peptide-guided therapy for heart failure

2014 ◽  
Vol 3 (1) ◽  
Author(s):  
Maria Pufulete ◽  
Julian PT Higgins ◽  
Chris A Rogers ◽  
Lucy Dreyer ◽  
William Hollingworth ◽  
...  
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.


2018 ◽  
Vol 34 (S1) ◽  
pp. 33-34
Author(s):  
Oriana Ciani ◽  
Sarah Walker ◽  
Fiona Warren ◽  
Neil Smart ◽  
Massimo Piepoli ◽  
...  

Introduction:Traditional meta-analyses synthesize aggregate data obtained from study publications or study authors, such as a treatment effect estimate and its associated uncertainty. An increasingly important approach is the meta-analysis of individual participant data (IPD) where the raw individual-level data are obtained for each study and used for synthesis. This study compares and discusses results from an IPD meta-analysis vs standard meta-analysis of randomized controlled trials of exercise cardiac rehabilitation in chronic heart failure (CHF).Methods:Based on a previous systematic review, the Exercise Training Meta-Analysis of Trials for Chronic Heart Failure (ExTraMATCH II) identified and collected IPD from randomized controlled trials (RCTs) that compared exercise rehabilitation with a non-exercise control with a minimum follow-up of six months. For this abstract, the outcome of interest was all-cause mortality. Original IPD were checked for consistency and compiled in a master dataset. Standard meta-analytic models were used for aggregate data whilst two-stage and one-stage approaches, accounting for the clustering of participants within studies, were planned for statistical analyses of IPD.Results:Overall thirty-three RCTs were included in the original systematic review, whereas within the ExTraMatch II project, IPD on all-cause mortality were obtained from seventeen RCTs of approximately 3,700 patients. From aggregate data there was no significant difference in pooled mortality (relative risk 0.92, 95% confidence interval 0.67 to 1.26). IPD analysis revealed 701 events across exercise and control groups. Our ongoing IPD analyses will allow us to examine how patients’ characteristics (e.g. age, New York Heart Association functional class, ejection fraction) modify treatment benefit.Conclusions:Given the limitations of current trial level meta-analysis evidence in CHF, access to individual data from several RCTs offers a timely and important opportunity to revisit the question of which CHF patient subgroups benefit most from exercise-based rehabilitation.


BMJ ◽  
2015 ◽  
Vol 350 (jan12 13) ◽  
pp. g7772-g7772 ◽  
Author(s):  
M. Virtanen ◽  
M. Jokela ◽  
S. T. Nyberg ◽  
I. E. H. Madsen ◽  
T. Lallukka ◽  
...  

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.


BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e043026
Author(s):  
Erin M Macri ◽  
Michael Callaghan ◽  
Marienke van Middelkoop ◽  
Miriam Hattle ◽  
Sita M A Bierma-Zeinstra

IntroductionKnee osteoarthritis (OA) is a prevalent and disabling musculoskeletal condition. Biomechanical factors may play a key role in the aetiology of knee OA, therefore, a broad class of interventions involves the application or wear of devices designed to mechanically support knees with OA. These include gait aids, bracing, taping, orthotics and footwear. The literature regarding efficacy of mechanical interventions has been conflicting or inconclusive, and this may be because certain subgroups with knee OA respond better to mechanical interventions. Our primary aim is to identify subgroups with knee OA who respond favourably to mechanical interventions.Methods and analysisWe will conduct a systematic review to identify randomised clinical trials of any mechanical intervention for the treatment of knee OA. We will invite lead authors of eligible studies to share individual participant data (IPD). We will perform an IPD meta-analysis for each type of mechanical intervention to evaluate efficacy, with our main outcome being pain. Where IPD are not available, this will be achieved using aggregate data. We will then evaluate five potential treatment effect modifiers using a two-stage approach. If data permit, we will also evaluate whether biomechanics mediate the effects of mechanical interventions on pain in knee OA.Ethics and disseminationNo new data will be collected in this study. We will adhere to institutional, national and international regulations regarding the secure and confidential sharing of IPD, addressing ethics as indicated. We will disseminate findings via international conferences, open-source publication in peer-reviewed journals and summaries posted on websites serving the public and clinicians.PROSPERO registration numberCRD42020155466.


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