Individual patient data network meta-analysis of mortality effects of implantable cardiac devices
Author(s)
Type
Journal Article
Abstract
Objective Implantable cardioverter defibrillators (ICD),
cardiac resynchronisation therapy pacemakers (CRT-P)
and the combination therapy (CRT-D) have been shown
to reduce all-cause mortality compared with medical
therapy alone in patients with heart failure and reduced
EF. Our aim was to synthesise data from major
randomised controlled trials to estimate the comparative
mortality effects of these devices and how these vary
according to patients’ characteristics.
Methods Data from 13 randomised trials (12 638
patients) were provided by medical technology
companies. Individual patient data were synthesised
using network meta-analysis.
Results Unadjusted analyses found CRT-D to be the
most effective treatment (reduction in rate of death vs
medical therapy: 42% (95% credible interval: 32–50%),
followed by ICD (29% (20–37%)) and CRT-P (28%
(15–40%)). CRT-D reduced mortality compared with
CRT-P (19% (1–33%)) and ICD (18% (7–28%)). QRS
duration, left bundle branch block (LBBB) morphology,
age and gender were included as predictors of benefit in
the final adjusted model. In this model, CRT-D reduced
mortality in all subgroups (range: 53% (34–66%) to
28% (−1% to 49%)). Patients with QRS duration
≥150 ms, LBBB morphology and female gender
benefited more from CRT-P and CRT-D. Men and those
<60 years benefited more from ICD.
Conclusions These data provide estimates for the
mortality benefits of device therapy conditional upon
multiple patient characteristics. They can be used to
estimate an individual patient’s expected relative benefit
and thus inform shared decision making. Clinical
guidelines should discuss age and gender as predictors
of device benefits.
cardiac resynchronisation therapy pacemakers (CRT-P)
and the combination therapy (CRT-D) have been shown
to reduce all-cause mortality compared with medical
therapy alone in patients with heart failure and reduced
EF. Our aim was to synthesise data from major
randomised controlled trials to estimate the comparative
mortality effects of these devices and how these vary
according to patients’ characteristics.
Methods Data from 13 randomised trials (12 638
patients) were provided by medical technology
companies. Individual patient data were synthesised
using network meta-analysis.
Results Unadjusted analyses found CRT-D to be the
most effective treatment (reduction in rate of death vs
medical therapy: 42% (95% credible interval: 32–50%),
followed by ICD (29% (20–37%)) and CRT-P (28%
(15–40%)). CRT-D reduced mortality compared with
CRT-P (19% (1–33%)) and ICD (18% (7–28%)). QRS
duration, left bundle branch block (LBBB) morphology,
age and gender were included as predictors of benefit in
the final adjusted model. In this model, CRT-D reduced
mortality in all subgroups (range: 53% (34–66%) to
28% (−1% to 49%)). Patients with QRS duration
≥150 ms, LBBB morphology and female gender
benefited more from CRT-P and CRT-D. Men and those
<60 years benefited more from ICD.
Conclusions These data provide estimates for the
mortality benefits of device therapy conditional upon
multiple patient characteristics. They can be used to
estimate an individual patient’s expected relative benefit
and thus inform shared decision making. Clinical
guidelines should discuss age and gender as predictors
of device benefits.
Date Issued
2015-11-01
Date Acceptance
2015-06-18
Citation
Heart, 2015, 101 (22), pp.1800-1806
ISSN
1468-201X
Publisher
BMJ Publishing Group
Start Page
1800
End Page
1806
Journal / Book Title
Heart
Volume
101
Issue
22
Copyright Statement
This is an Open Access article distributed in accordance with the
Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which
permits others to distribute, remix, adapt, build upon this work non-commercially,
and license their derivative works on different terms, provided the original work is
properly cited and the use is non-commercial. See: http://creativecommons.org/
licenses/by-nc/4.0/
Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which
permits others to distribute, remix, adapt, build upon this work non-commercially,
and license their derivative works on different terms, provided the original work is
properly cited and the use is non-commercial. See: http://creativecommons.org/
licenses/by-nc/4.0/
License URL
Subjects
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
CHRONIC HEART-FAILURE
RANDOMIZED-CONTROLLED-TRIALS
LEFT-VENTRICULAR DYSFUNCTION
CLINICAL EVENT REDUCTION
RESYNCHRONIZATION THERAPY
COMPANION TRIAL
CARDIOVERTER-DEFIBRILLATOR
MEDICAL THERAPY
TASK-FORCE
PRIMARY PREVENTION
Publication Status
Published