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Trial registered on ANZCTR


Registration number
ACTRN12614000341628
Ethics application status
Approved
Date submitted
21/03/2014
Date registered
31/03/2014
Date last updated
20/08/2019
Date data sharing statement initially provided
7/08/2019
Type of registration
Retrospectively registered

Titles & IDs
Public title
Strain sUrveillance during Chemotherapy for improving Cardiovascular OUtcomes
Scientific title
Randomised controlled trial (RCT) of chemotherapy patients at risk of cardiotoxicity undergoing cardioprotection guided by measurement of LV strain compared with cardioprotection guided by measurement of left ventricular (LV) ejection fraction for avoidance of cardiotoxicity
Secondary ID [1] 284309 0
none
Universal Trial Number (UTN)
Trial acronym
SUCCOUR Study
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Cardiotoxicity from cancer chemotherapy 291458 0
Condition category
Condition code
Cardiovascular 291828 291828 0 0
Other cardiovascular diseases
Cancer 291862 291862 0 0
Any cancer

Intervention/exposure
Study type
Interventional
Description of intervention(s) / exposure
Inclusion of myocardial mechanics in screening echocardiography for development of cardiotoxicity. Serial screening test for LV strain is envisaged at 3 monthly intervals for a year and the acquisition takes ~30 minutes.
Intervention code [1] 289032 0
Early detection / Screening
Comparator / control treatment
Performance of standard echocardiogram, an ultrasound test of the heart where ejection fraction (EF) is measured. This is an insensitive test for early changes, but is used to ensure that patients with possible cardiotoxicity are managed safely. This screening test is envisaged at 3 monthly intervals for a year and the acquisition takes ~30 minutes.
Control group
Active

Outcomes
Primary outcome [1] 291747 0
New LV dysfunction, defined on the basis of 3D echo.
Timepoint [1] 291747 0
Assessed at 3 years post randomisation.
Primary outcome [2] 291776 0
New heart failure (HF), assessed on the basis of clinical diagnosis of HF.
Timepoint [2] 291776 0
Assessed at 3 years post randomisation.
Secondary outcome [1] 307403 0
Development of cardiotoxicity – ie a categorical analysis of reduced 3D echocardiographic LVEF concordant with the recent guidelines (reduction of LVEF of more than 5% to less than 55% with symptoms of heart failure, or an asymptomatic reduction of LVEF of more than 10% to less than 55%).
Timepoint [1] 307403 0
Assessed at 3 years post randomisation
Secondary outcome [2] 307404 0
Rate of completion of the planned chemotherapy among groups, defined by audit of prescribed drug prescription in patient records
Timepoint [2] 307404 0
Assessed at 3 years post randomisation
Secondary outcome [3] 307405 0
Rate of heart failure among groups, defined by clinical HF diagnosis in patient record.
Timepoint [3] 307405 0
Assessed at 3 years post randomisation

Eligibility
Key inclusion criteria
i. Patients actively undergoing chemotherapy at increased risk of cardiotoxicity;
use of anthracycline WITH current (but not necessarily concurrent)
trastuzumab (Herceptin) in breast-cancer with the HER2 mutation OR
tyrosine kinase inhibitors (eg sunitinib) OR
cumulative anthracycline dose >450g/m2 of doxorubicin, or equivalent other anthracycline cumulative dose (eg for epirubicine >900g/m2).OR
increased risk of HF (any two of age >65y, type 2 diabetes mellitus, hypertension, previous cardiac injury eg. myocardial infarction)
ii. Live within a geographically accessible area for follow-up
iii. Are able and willing to provide written informed consent to participate in the study (this includes the ability to communicate fluently with the investigator and that the patient is mentally competent)
Minimum age
18 Years
Maximum age
80 Years
Sex
Both males and females
Can healthy volunteers participate?
No
Key exclusion criteria
- Unable to provide written informed consent to participate in this study
- Participating in another clinical research trial where randomized treatment would be unacceptable
- Valvular stenosis or regurgitation of >moderate severity
- History of previous heart failure (baseline NYHA >2)
- Systolic BP <110mmHg
- Pulse <60/minute
- Inability to acquire interpretable images (identified from baseline echo)
- Contraindications/Intolerance to beta blockers or ACE inhibitors
- Existing therapy with both beta blockers and ACE inhibitors
- Oncologic (or other) life expectancy <12 months or any other medical condition (including pregnancy) that results in the belief (deemed by the Chief Investigators) that it is not appropriate for the patient to participate in this trial

Study design
Purpose of the study
Prevention
Allocation to intervention
Randomised controlled trial
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
At risk subjects will be identified by cardiologists, oncologists, general practitioners, or self-referred. We plan to compare 138 subjects with strain vs 138 controls.

Clinical evaluation: All subjects will undertake a clinical history and answer questionnaires on general health status (EQ5D), activity (DASI) and heart failure symptoms (MLHFQ). All will undergo a screening echo for valvular disease. If these results are abnormal, subjects will be excluded.

Study protocol: A central (web-based) randomization program will be used to allocate patients to advanced vs conventional imaging only after the patient is enrolled. This allocation concealment will prevent the person performing recruitment from knowing the allocated group at the time of inclusion. Subsequent management decisions are not based on randomization and will occur as a "usual care' response to data provided from imaging.

Conventional imaging: Limited to evaluation of EF and valve disease. If there is a symptomatic drop of more than 5% of ejection fraction, or a 10% asymptomatic drop of ejection fraction to EF <55% will lead to referral of the patient for initiation and titration of heart failure therapy.

Advanced cardiac imaging: Inclusion of global longitudinal strain. Reduction of global longitudinal strain by >12% in any of the follow-up echocardiograms, as compared to baseline will lead to referral of the patient for initiation and titration of heart failure therapy(see below).
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Randomisation will be performed using a randomisation table created by computer software (i.e. computerised sequence generation). Randomization is stratified on the basis of diabetes status.
Masking / blinding
Blinded (masking used)
Who is / are masked / blinded?
The people receiving the treatment/s

The people assessing the outcomes
The people analysing the results/data
Intervention assignment
Parallel
Other design features
Those with an abnormal test will be identified as having Stage B heart failure, and undergo better blood pressure and glucose control. Additional protective therapy (ACE inhibitors and beta blockers) will be added and titrated to target dose.
Phase
Not Applicable
Type of endpoint/s
Efficacy
Statistical methods / analysis
Power calculations; Assumptions –
1) cutoff for strain = 11% decrement (Negishi JASE 2014)
2) cutoff for EF = 10% asympt drop to <55% (Seidman AD, JCO 2002)
3) reduction in EF in at risk patients at 3m = 21% (Sawaya, AJC 2011)
4) response to medical Rx in patients with reduced EF=40% (from Cardinale).
5) development of HF in 41% at 3y (from Chen, JACC 2013).
6) reduction in strain in at risk patients = 34% (from submitted “3 toxic regimen” paper by Negishi, using 11% reduction strain).
7) response to therapy based on strain = 90% (from submitted “3 toxic regimen” paper by Negishi, based on 11% reduction strain).% (unpublished observation).
8) Reduction in EF of patients with reduced strain = 14% (from prelim data).

Calculations –These are based on the development of cardiotoxicity in patients with preserved EF. Based on these assumption of 24 vs 40 patients showing cardiotoxicity, a study of 138 patients/group would give 80% power to identify a difference at p<0.05 using an intention-to-treat approach. To allow for drop-outs we will recruit 320 patients.


Primary data analysis will compare the outcomes of patients will be compared with a t-test (change in EF) or survival analysis (heart failure and cessation of treatment). Multivariable models (respectively linear and Cox regression) will be developed to identify effect size, and will be extremely important if groups are mismatched despite randomization. All analyses will be performed on an intention to treat basis. Subsequent analyses will include the same methods to compare differences in the secondary end-points.

The data from all participating investigational sites will be pooled and summarised with respect to demographic and baseline characteristics. Exploratory data analyses will be performed using descriptive statistics. Data will be presented for the complete intent-to-treat (ITT) population (all patients having taken part in a significant proportion of the study but did not complete follow-up data collection and/or had major protocol deviations) as well as the per-protocol population (ITT patients who completed the study).

Survival curves will be constructed using time-dependent, all-cause survival and event-free survival data for all patients on an ITT basis followed by log-rank and Breslow tests to determine differences between groups with respect to the number and/or timing of events. To examine the interactions between risk factors and treatment mode and other potential correlates of event-free survival and all-cause mortality during study follow-up we will construct Cox-Proportional Hazards Models with calculation of relative risk (RR) and 95% confidence interval. Multiple logistic regressions will be used to determine independent correlates of clinical events at fixed time-points.

Recruitment
Recruitment status
Active, not recruiting
Date of first participant enrolment
Anticipated
1/04/2014
Actual
30/01/2014
Date of last participant enrolment
Anticipated
31/12/2018
Actual
31/12/2018
Date of last data collection
Anticipated
31/08/2021
Actual
Sample size
Target
320
Accrual to date
Final
331
Recruitment in Australia
Recruitment state(s)
NSW,SA,TAS,VIC
Recruitment hospital [1] 2224 0
Royal Hobart Hospital - Hobart
Recruitment hospital [2] 2226 0
Monash Medical Centre - Clayton campus - Clayton
Recruitment hospital [3] 5352 0
St Vincent's Hospital (Melbourne) Ltd - Fitzroy
Recruitment hospital [4] 5353 0
The Alfred - Prahran
Recruitment hospital [5] 14602 0
The Royal Adelaide Hospital - Adelaide
Recruitment hospital [6] 14603 0
Westmead Hospital - Westmead
Recruitment postcode(s) [1] 7904 0
7000 - Hobart
Recruitment postcode(s) [2] 7906 0
3168 - Clayton
Recruitment postcode(s) [3] 12806 0
3065 - Fitzroy
Recruitment postcode(s) [4] 12807 0
3004 - Melbourne
Recruitment postcode(s) [5] 27622 0
5000 - Adelaide
Recruitment postcode(s) [6] 27623 0
2145 - Westmead
Recruitment outside Australia
Country [1] 5913 0
Japan
State/province [1] 5913 0
Gunma
Country [2] 5914 0
Romania
State/province [2] 5914 0
Belgrade
Country [3] 5915 0
Bulgaria
State/province [3] 5915 0
Sofia
Country [4] 5916 0
Belgium
State/province [4] 5916 0
Flanders
Country [5] 7617 0
Canada
State/province [5] 7617 0
Quebec
Country [6] 7618 0
India
State/province [6] 7618 0
Delhi
Country [7] 7619 0
Korea, Republic Of
State/province [7] 7619 0
Geyonggi
Country [8] 7620 0
Norway
State/province [8] 7620 0
Ostlandet
Country [9] 7621 0
United States of America
State/province [9] 7621 0
Texas
Country [10] 7622 0
Russian Federation
State/province [10] 7622 0
Central Federal District
Country [11] 21778 0
Japan
State/province [11] 21778 0
Gunma
Country [12] 21779 0
Japan
State/province [12] 21779 0
Tokushima
Country [13] 21780 0
Japan
State/province [13] 21780 0
Kanagawa
Country [14] 21781 0
Japan
State/province [14] 21781 0
Tokyo
Country [15] 21782 0
Japan
State/province [15] 21782 0
Ibaraki
Country [16] 21783 0
Canada
State/province [16] 21783 0
Ontario
Country [17] 21784 0
Italy
State/province [17] 21784 0
Campania
Country [18] 21785 0
Romania
State/province [18] 21785 0
Bucharest
Country [19] 21786 0
Poland
State/province [19] 21786 0
Wroclaw
Country [20] 21787 0
Belgium
State/province [20] 21787 0
Yvoir
Country [21] 21788 0
United States of America
State/province [21] 21788 0
Nebraska
Country [22] 21789 0
Poland
State/province [22] 21789 0
Warsaw

Funding & Sponsors
Funding source category [1] 288950 0
Commercial sector/Industry
Name [1] 288950 0
GE Medical Systems
Country [1] 288950 0
Norway
Primary sponsor type
University
Name
Menzies Research Institute Tasmania
Address
17 Liverpool St
Hobart Tasmania 7000
Country
Australia
Secondary sponsor category [1] 287630 0
None
Name [1] 287630 0
Address [1] 287630 0
Country [1] 287630 0

Ethics approval
Ethics application status
Approved
Ethics committee name [1] 290763 0
Human Research Ethics Committee (Tasmania)
Ethics committee address [1] 290763 0
Ethics committee country [1] 290763 0
Australia
Date submitted for ethics approval [1] 290763 0
Approval date [1] 290763 0
21/01/2014
Ethics approval number [1] 290763 0
H0013270

Summary
Brief summary
Trial website
Trial related presentations / publications
Public notes
Attachments [1] 782 782 0 0
/AnzctrAttachments/366020-Protocol Version 2.62 23 December 2015 (2).docx

Contacts
Principal investigator
Name 47138 0
Prof Thomas H Marwick
Address 47138 0
Menzies Research Institute Tasmania 17 Liverpool St Hobart, Tas 7000
Country 47138 0
Australia
Phone 47138 0
+61 (0) 3 6226 7702
Fax 47138 0
Email 47138 0
tom.marwick@utas.edu.au
Contact person for public queries
Name 47139 0
Tomoko Negishi
Address 47139 0
Menzies Research Institute Tasmania 17 Liverpool St Hobart, Tas 7000
Country 47139 0
Australia
Phone 47139 0
+61 (0) 3 6226 7702
Fax 47139 0
Email 47139 0
tomoko.negishi@utas.edu.au
Contact person for scientific queries
Name 47140 0
Tomoko Negishi
Address 47140 0
Menzies Research Institute Tasmania 17 Liverpool St Hobart, Tas 7000
Country 47140 0
Australia
Phone 47140 0
+61 (0) 3 6226 7702
Fax 47140 0
Email 47140 0
tomoko.negishi@utas.edu.au

Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
No/undecided IPD sharing reason/comment
We didn't have any consent from patients for IPD.


What supporting documents are/will be available?

No Supporting Document Provided



Results publications and other study-related documents

Documents added manually
No documents have been uploaded by study researchers.

Documents added automatically
SourceTitleYear of PublicationDOI
EmbasePractical guidance in echocardiographic assessment of global longitudinal strain.2015https://dx.doi.org/10.1016/j.jcmg.2014.06.013
EmbasePrevention, Detection, and Management of Chemotherapy-Related Cardiac Dysfunction.2016https://dx.doi.org/10.1016/j.cjca.2016.01.028
EmbaseAn emerging epidemic: Cancer and heart failure.2017https://dx.doi.org/10.1042/CS20160412
EmbaseManagement of Heart Failure in Cancer Patients and Cancer Survivors.2017https://dx.doi.org/10.1016/j.hfc.2016.12.004
EmbaseApplications of left ventricular strain measurements to patients undergoing chemotherapy.2018https://dx.doi.org/10.1097/HCO.0000000000000541
EmbaseEchocardiographic evaluation of cardiac function after cancer chemotherapy.2018https://dx.doi.org/10.1007/s12574-017-0344-6
EmbaseRationale and Design of the Strain Surveillance of Chemotherapy for Improving Cardiovascular Outcomes: The SUCCOUR Trial.2018https://dx.doi.org/10.1016/j.jcmg.2018.03.019
Dimensions AIAbnormalities in 3-Dimensional Left Ventricular Mechanics With Anthracycline Chemotherapy Are Associated With Systolic and Diastolic Dysfunction2018https://doi.org/10.1016/j.jcmg.2018.01.015
Dimensions AIHeart failure resulting from cancer treatment: still serious but an opportunity for prevention2018https://doi.org/10.1136/heartjnl-2018-313493
EmbaseEchocardiography and Cardio-Oncology.2019https://dx.doi.org/10.1016/j.hlc.2019.04.023
EmbaseManagement of cardiac toxicity induced by chemotherapy.2020https://dx.doi.org/10.3390/jcm9092885
N.B. These documents automatically identified may not have been verified by the study sponsor.