DANISH trial (Cardiology)

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Presenter Dr Praveen Gupta Moderator Dr Raja Selvaraj MD(Ped) DNB(Card) Fellowship in Cardiac EP(Toronto) Cardiac Electrophysiologist Associate Professor of Cardiology Jawaharlal Institute of Postgraduate Medical Education and Research Pondicherry | India 605006 Date 19/12/2016 1

Transcript of DANISH trial (Cardiology)

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Presenter Dr Praveen Gupta

Moderator Dr Raja Selvaraj 

MD(Ped) DNB(Card) Fellowship in Cardiac EP(Toronto)

Cardiac Electrophysiologist

Associate Professor of Cardiology

Jawaharlal Institute of Postgraduate Medical Education and Research

Pondicherry | India 605006

Date 19/12/2016

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• The trial was supported by unrestricted grants from Medtronic, St. Jude

Medical, TrygFonden, and the Danish Heart Foundation

• Kober disclosed relevant relationships with Sanofi and Novartis.

• McMurray disclosed relevant relationships with Cardiorentis, Amgen,

Novartis, Oxford University/Bayer, GlaxoSmithKline, Theracos, AbbVie,

AstraZeneca, Vifor-Fresnius Pharma, DalCor, Pfizer, Merck, and Bristol-

Myers Squibb.

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Introduction

Background

ICD benefit well documented in ischemic heart diseases

No trial showed a significant effect of ICD with non-ischemic HF

Positive effect of ICD confined to New York Heart Association (NYHA) class II,

and no patients received concomitant CRT

Large proportion of these patients now receive CRT, and the impact of ICD

implantation in this setting is not well known

ICD implantation confers a risk of device-related complications

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Introduction

Objective

DANISH study to investigate the effect of ICD implantation in patients with HF

and reduced ejection fraction not caused by coronary artery disease who receive

contemporary HF therapy including CRT

DANISH study will add insight into the rate of complications in a cohort where a

large proportion of patients will require implantation of multiple leads

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Methods

Trial design

Multicenter

Randomized

Unblinded

Controlled

Parallel

2-group trial

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Inclusion criteria

Clinical HF

Non-ischemic etiology

Optimal medical treatment

NYHA functional class II or III (patients in NYHA class IV could be

included if planned for CRT)

LVEF ≤35%

NT-proBNP N200 pg/mL (23.6 pmol/L)

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Exclusion criteria

Dysregulated permanent atrial fibrillation (resting heart rate N100

beats/min)

Uncorrected congenital heart disease or valve obstruction

Obstructive cardiomyopathy, active myocarditis, constrictive pericarditis,

untreated hypothyroidism or hyperthyroidism, adrenal insufficiency, and

active vasculitis due to collagen vascular disease

On the urgent waiting list for a heart transplant (UNOS category 1A or 1B,

or equivalent)

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Exclusion criteria (Contd)

Recipient of

Major organ transplant

Receiving or received cytotoxic or cytostatic chemotherapy and/or

radiation therapy for malignancy within 6 m before randomization or

clinical evidence of current malignancy, with the following exceptions:

basal or squamous cell carcinoma of the skin, cervical intraepithelial

neoplasia, prostate cancer (if stable localized disease, with a life

expectancy of N2.5 y in the opinion of the investigator)

Known to be HIV positive, with an expected survival of b5 y due to HIV

Renal failure treated with dialysis

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Exclusion criteria (Contd)

Recent (within 3 m) history of alcohol or illicit drug abuse disorder, based

on self-report

Any condition (eg, psychiatric illness) or situation that, in the investigator's

opinion, could put the participant at significant risk, confound the study

results, or interfere significantly with the participant's participation in the

study

Lack of informed consent

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Intervention

Randomization performed on web-based system, using permuted-block

Non-ischemic etiology was determined by coronary angiogram, although a

normal computed tomography angiogram or nuclear myocardial perfusion

imaging study was acceptable

Patients could be included despite having 1 or 2 coronary artery stenoses,

if the extent of coronary artery disease did not explain the reduced left

ventricular systolic function

Decision to implant a CRT device made before randomization

Single or dual chamber ICD was implanted

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Methods (Contd.)

Follow-up –

2 months

Every 6 months

Patients who receive ICD undergo regular follow-up by implantation

center

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Primary analysis

Time to death from any cause

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Secondary outcomes

Time to sudden cardiac death

Time to cardiovascular death

Time to resuscitated cardiac arrest or sustained ventricular tachycardia

Change in quality of life from baseline (Quality of life is assessed by the

Minnesota Living with Heart Failure Questionnaire)

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Statistical Analysis

Study designed to have 80% power to detect a 25% difference in total mortality between the

treatment groups.

At least 246 primary outcome events were required for the study to be conclusive, and we planned to

include 1000 patients.

Because the event rate and enrollment rate were lower than expected, the steering committee decided

to prolong enrollment until June 30, 2014, or until 1200 patients were included (whichever came first)

and to follow the last randomly assigned patient for at least 2 years.

Baseline characteristics compared between the groups with the use of chi-square and Wilcoxon tests

Outcomes analyzed with the use of time-to-event methods

Kaplan–Meier plots were calculated for total mortality, and cumulative incidence curves were

calculated for events with competing risk (sudden cardiac death and cardiovascular death)

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Statistical Analysis

The analysis of the primary outcome was performed with a log-rank model

The proportional-hazard assumption was assessed with Schoenfeld residuals

Post hoc annual event rate ratios were derived from a Poisson regression

Prespecified subgroup analyses of the primary outcome were performed for the

variables

All analyses were performed in the intention-to-treat population

Two sided P values of 0.05 or less were considered to indicate statistical significance.

Analyses were performed with SAS software, version 9.4 (SAS Institute), and R

software, version 3.3.1 (R Project for Statistical Computing)

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Result

From February 7, 2008, to June 30, 2014,

Total of 1116 patients were enrolled at five centers; 556 patients were

randomly assigned to the ICD group, and 560 patients were assigned to the

control group

Follow-up data for all outcomes were available through June 30, 2016

The median follow-up period was 67.6 months (interquartile range, 49 to

85), and no patients were lost to follow-up for the primary outcome

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Cohort and baseline characteristics

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Result

• Primary outcome, death from

any cause, occurred in 120

patients (21.6%) in the ICD

group (4.4 events per 100

person-years) and in 131

patients (23.4%) in the

control group (5.0 events per

100 person-years)

• The hazard ratio for death

from any cause in the ICD

group, as compared with the

control group, was 0.87 (95%

confidence interval [CI] 0.68

to 1.12; P = 0.28)

Time-to-Event Curves for Death from Any Cause

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Result

• Cardiovascular death

occurred in 77 patients

(13.8%) in the ICD

group and in 95

patients (17.0%) in the

control group (hazard

ratio, 0.77; 95% CI,

0.57 to 1.05; P = 0.10)

Time-to-Event Curves for Cardiovascular death

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Result

Sudden cardiac

death occurred in 24

patients (4.3%) in

the ICD group and

in 46 patients

(8.2%) in the control

(hazard ratio, 0.50;

95% CI, 0.31 to

0.82; P = 0.005)

Time-to-Event Curves for Sudden Cardiac Death

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Result

The clinical outcome of resuscitated

cardiac arrest or sustained ventricular

tachycardia occurred with similar

frequency in the two groups

Device infections in 4.9% in the ICD

and in 3.6% in the control (P = 0.29)

Patients not receiving CRT, the risk of

device infection was higher in the ICD

group than it was in the control group

(5.1% vs 0.8%) ( hazard ratio, 6.35;

95% CI, 1.38 to 58.87; P = 0.006).

Inappropriate shocks in 5.9% in the

ICD group

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Result

With age there was a significant

treatment-by-subgroup

interaction (P = 0.009 )

The rate of death from any

cause was significantly lower

among patients younger than 68

years of age than among patients

68 years of age or older (hazard

ratio, 0.64; 95% CI, 0.45 to

0.90; = 0.01).

The effect of ICD implantation

was independent of CRT status

(P = 0.73 for the interaction)

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Discussion

Implantation of an ICD in heart failure not caused by ischemic heart

disease did not provide an overall survival benefit, although the risk of

sudden cardiac death was halved with an ICD

No difference of ICD between patients with CRT and without CRT

Time-to-event curves diverge during initial 5 years and then converge

Rationale for long-term studies

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Discussion

31% of deaths were due to noncardiovascular causes

Important interaction with age

Younger patients have a survival benefit with ICD

This is not surprising in an elderly population, but it highlights the

importance of selecting patients for ICD implantation carefully

Patients at higher risk more likely to benefit from ICD

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Discussion

Lower likelihood of benefit in older patients might be used as an argument

for not implanting ICDs in frail patients

Long-term data from the Multicenter Automatic Defibrillator Implantation

Trial (MADIT) II indicate that clinical risk scores may make it possible to

identify the patients with ischemic heart disease who will benefit most

from ICD implantation

Such a method for identifying patients with nonischemic heart failure who

are at high risk for death from arrhythmia would be very useful

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Discussion

The side effects associated with device implantation in our trial not trivial

Device related infections were not infrequent, but we did have a high

proportion of patients in both groups who were receiving CRT (which

requires implantation of an additional lead in the coronary sinus).

In addition, 10% of our patients already had a pacemaker and were

randomly assigned either to receive or not to receive an ICD upgrade; this

is a patient group that has not been included in most of the previous trials

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Thank you