Cardiac rehabilitation for heart failure can improve quality of life and fitness

BMJ ◽  
2019 ◽  
pp. l5456
Author(s):  
Rob Cook ◽  
Peter Davidson ◽  
Rosie Martin
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Cardiac Rehabilitation ◽  
Meta Analysis ◽  
Health Technology ◽  
Individual Participant Data ◽  
Improve Quality ◽  
Health Technology Assessment Programme ◽  
Individual Participant

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

scholarly journals Exercise Training for Heart Failure With Preserved Ejection Fraction (ExTraMATCH III): Protocol for an Individual Patient Data Meta-Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 3-11
Author(s):  
Neil A. Smart ◽  
Melissa J. Pearson ◽  
Rod S. Taylor ◽  
John Cleland
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Exercise Training ◽  
Ejection Fraction ◽  
Cardiac Rehabilitation ◽  
Meta Analysis ◽  
Preserved Ejection Fraction ◽  
Related Quality ◽  
Health Related

ABSTRACT Background: We will undertake an individual patient data (IPD) meta-analysis to assess the impact of exercise-based cardiac rehabilitation in patients with heart failure with preserved ejection fraction (HFpEF) on mortality and hospitalization and quality of life of exercise-based cardiac rehabilitation according to patient characteristics: age, sex, ethnicity, New York Heart Association functional class, ischemic etiology, ejection fraction, and exercise capacity. Despite emerging evidence supporting exercise training in HFpEF, uncertainties remain in the interpretation and understanding of this evidence base. Clinicians and health care providers seek definitive estimates of impact on mortality, hospitalization and health-related quality of life (HRQoL). This work is, therefore, important as HFpEF treatment options are evolving; however, efficacy of some medications is equivocal, so optimizing exercise rehabilitation is vital. Methods: We conducted a systematic search to identify randomized trials of exercise training for at least 3 weeks compared with no exercise control with 6-month follow up or longer, providing IPD time to event on mortality or hospitalization (all-cause or heart failure-specific). IPD will be combined into a single dataset. We will use Cox proportional hazards models to investigate the effect of exercise-based cardiac rehabilitation and the interactions between exercise-based cardiac rehabilitation and participant characteristics. We will use a mix of one-stage and two-stage models. Original IPD will be requested from the authors of all eligible trials; we will check original data and compile a master dataset. IPD meta-analyses will be conducted using a one-step approach where the IPD from all studies are modeled simultaneously while accounting for the clustering of participants with studies. Results: We expect our analyses to show improved mortality, hospitalization, cardiorespiratory fitness, and health-related quality of life. Conclusion: This work will clarify exercise-based rehabilitation delivery methods to optimize benefits for people with HFpEF.

scholarly journals Recovery of health-related quality of life after burn injuries: An individual participant data meta-analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. e0226653 ◽  
Author(s):  
Inge Spronk ◽  
Nancy E. E. Van Loey ◽  
Charlie Sewalt ◽  
Daan Nieboer ◽  
Babette Renneberg ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Meta Analysis ◽  
Burn Injuries ◽  
Individual Participant Data ◽  
Health Related Quality ◽  
Related Quality ◽  
Individual Participant ◽  
Health Related

scholarly journals A heart failure phenotype stratified model for predicting 1-year mortality in patients admitted with acute heart failure: results from an individual participant data meta-analysis of four prospective European cohorts

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yuntao Chen ◽  
Adriaan A. Voors ◽  
Tiny Jaarsma ◽  
Chim C. Lang ◽  
Iziah E. Sama ◽  
...  
Keyword(s):  
Heart Failure ◽  
Clinical Decision Making ◽  
Cox Model ◽  
Meta Analysis ◽  
Prognostic Index ◽  
Individual Participant Data ◽  
Mortality Risks ◽  
Baseline Mortality ◽  
Individual Participant ◽  
Stratified Model

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.

The Effect of Cardiac Rehabilitation on Health-Related Quality of Life in Patients With Coronary Artery Disease: A Meta-analysis

2019 ◽  
Vol 35 (3) ◽  
pp. 352-364 ◽  
Author(s):  
Troy Francis ◽  
Nader Kabboul ◽  
Valeria Rac ◽  
Nicholas Mitsakakis ◽  
Petros Pechlivanoglou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Cardiac Rehabilitation ◽  
Meta Analysis ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Artery Disease

scholarly journals An individual participant data (IPD) meta-analysis on the attachment network to multiple caregivers

2020 ◽  
Author(s):  
Or Dagan ◽  
Pasco Fearon ◽  
Carlo Schuengel ◽  
Marije Verhage ◽  
Glenn I. Roisman ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Developmental Outcomes ◽  
Research Synthesis ◽  
Individual Participant Data ◽  
Attachment Relationship ◽  
Attachment Research ◽  
Individual Participant ◽  
The Subject ◽  
Meta Analyses

Since the seminal 1992 paper by van IJzendoorn, Sagi, and Lambermon, putting forward the “The multiple caretaker paradox”, relatively little attention has been given to the potential joint effects of the role early attachment network to mother and father play in development. Recently, Dagan and Sagi-Schwartz (2018) have published a paper that attempts to revive this unsettled issue, calling for research on the subject and offering a framework for posing attachment network hypotheses. This Collaboration for Attachment Research Synthesis project attempts to use an Individual Participant Data meta-analyses to test the hypotheses put forward in Dagan and Sagi-Schwartz (2018). Specifically, we test (a) whether the number of secure attachments (0,1, or 2) matter in predicting a range of developmental outcomes, and (b) whether the quality of attachment relationship with one parent contributes more than the other to these outcomes.

scholarly journals Quality of life – an important parameter of cardiac rehabilitation in heart failure patients

2018 ◽  
Vol 9 (3) ◽  
pp. 288-290
Author(s):  
Anca Daniela Farcaş ◽  
◽  
Laura Elena Năstasă ◽  
Florin Petru Anton ◽  
Mirela Anca Stoia ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Cardiac Rehabilitation ◽  
Heart Failure Patients
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