IMproving reModeling in Acute myoCardial Infarction Using Live and Asynchronous TElemedicine. (IMMACULATE)
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|ClinicalTrials.gov Identifier: NCT02468349|
Recruitment Status : Recruiting
First Posted : June 10, 2015
Last Update Posted : March 29, 2018
|Condition or disease||Intervention/treatment||Phase|
|Left Ventricular Remodeling Medication Adherence Acute Coronary Syndrome||Other: Telemedicine||Not Applicable|
Acute Myocardial Infarction (AMI) accounts for more than 6,000 admissions to Singapore hospitals each year. Contemporary treatment, including percutaneous intervention (angioplasty and stenting) and adjunctive drug therapy, has reduced early mortality from AMI.
In many healthcare systems, Hospital scorecards stipulate prescription of appropriate drugs upon discharge after hospitalization for AMI. These drugs include aspirin, a platelet P2Y12 inhibitor, angiotensin converting enzyme inhibitors (ACE-I) or angiotensin receptor blockers (ARB), beta-blockers and lipid-lowering drugs. Such quality improvement programs have led to an increase in prescription of these drugs upon discharge. Yet, 2 problems remain pervasive:
- dose optimization; how the investigators escalate patients to the most effective drug doses, and
- drug adherence; whether patients are taking these drugs regularly.
These 2 problems stem largely from the traditional model of episodic care entailing face-to-face visits between patient and healthcare practitioner. Inadequate dose optimization is most relevant to ACE-I/ARB and beta-blockers as healthcare practitioners necessarily prescribe low doses of these drugs at discharge to avoid excessive lowering of blood pressure soon after an AMI. Yet, these drugs are most effective at preventing adverse ventricular remodeling when patients take them at their maximum tolerated doses. In clinical trials, titrating these ACE-I/ARB and beta-blockers to target doses has required weekly outpatient visits, a model of care that most healthcare systems cannot afford.
The investigators hypothesize that a telemedicine-based system of care will lead to a greater reduction in ventricular remodeling as compared with usual care, by improving dose optimization and adherence to ACE-I/ARB and beta-blockers in patients with recent AMI.
Participants with AMI (n=300) will be recruited during the index hospitalization. A key inclusion criteria is an elevated NT-proBNP measurement during the index hospitalization. Participants will first undergo stratified randomization according to ST-segment classification (STEMI/NSTEMI), thereafter randomized into the Telehealth versus Control group in 1:1 sequential block randomization (blocks of 4 and 6). The telehealth intervention group will have their blood pressure and heart rate monitored twice daily at home for 2 months, with alternating titration between ACE-inhibitors and betablockers weekly during the first 2 months. After 2 months, they will continue on telemedicine consultation for 4 months; coaching on drug adherence, drug side-effects management and monitoring of symptoms. A smartphone-based app developed by PEACH Intellihealth will provide structured health education, medication reminders and real-time text messaging with telehealth professionals.
All participants enrolled will be put on 1 year of dual antiplatelet therapy, have a cardiac MRI done both at baseline and 6-months, and followed up with cardiologist review visit at 1, 6 and 12 months. Major adverse cardiovascular and cerebrovascular events will be assessed during each cardiologist review visit, and beyond 12 months, it will be assessed by either phone calls or online/mailed questionnaires at 18 and 24 months.
Four substudies have been planned: a substudy to assess the impact of telemedicine on readmissions (ALTRA), a substudy to assess the effect of telemedicine on adherence to antiplatelet therapy (TICA), a substudy to assess the cost-effectiveness of telemedicine (CEA) and a substudy to assess the effect of telemedicine on MR-PET measured cardiac work efficiency (CES).
|Study Type :||Interventional (Clinical Trial)|
|Estimated Enrollment :||300 participants|
|Intervention Model:||Parallel Assignment|
|Masking:||Single (Outcomes Assessor)|
|Primary Purpose:||Health Services Research|
|Official Title:||IMproving reModeling in Acute myoCardial Infarction Using Live and Asynchronous TElemedicine.|
|Actual Study Start Date :||June 2015|
|Estimated Primary Completion Date :||December 2019|
|Estimated Study Completion Date :||December 2020|
The telehealth group will be remotely monitored and managed on medication adherence, dosage titration, and management of drug side effects, through a combination of feed-forward blood pressure monitoring, app-based education and medication reminders, and remote consultations.
Participants enrolled will be randomised 1:1 to either telemedicine arm or standard care arm.
No Intervention: Standard care
The standard care group will receive face-to-face consultations at one month, 6 months and 12 months.
- Difference in Left Ventricular End-Systolic Volume (ml) [ Time Frame: 6 months ]Difference in Left Ventricular End-Systolic Volume (ml) measured on cardiac magnetic resonance imaging
- Haemodynamic Stress [ Time Frame: 6 months ]Frequency of participants with reduction in NT-proBNP <20%
- Infarct size (grams and % of total LV mass) [ Time Frame: 6 months ]Infarct size (grams and % of total LV mass) measured on cardiac magnetic resonance imaging
- Adenosine diphosphate-induced platelet reactivity [ Time Frame: 6 months ]Difference in Multiplate ADP test (AU*min)
- Hospitalisation & readmission [ Time Frame: 2 years ]Difference in incidence of Death, MI, Stroke, readmission for recurrent ischaemia requiring unplanned revascularization and readmission for heart failure.
- Quality of Life [ Time Frame: 2 years ]Difference in QoL outcome measures
- Medication Adherence [ Time Frame: 12 months ]Difference in medication adherence score and pill count
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02468349
|Contact: Sock Cheng Poh||+65 9772 firstname.lastname@example.org|
|Contact: Karen Koh||+65 email@example.com|
|National Heart Centre Singapore||Recruiting|
|Singapore, National Heart Research Institute, Singapore, 169609|
|Contact: Derek Hausenloy +65 65166719 firstname.lastname@example.org|
|Principal Investigator: Derek Hausenloy|
|National University Heart Centre Singapore||Recruiting|
|Singapore, Singapore, 119228|
|Contact: Sock Cheng Poh +65 66015951 email@example.com|
|Contact: Karen Koh +65 67726884|
|Principal Investigator: Mark Chan|
|Tan Tock Seng Hospital||Recruiting|
|Singapore, Singapore, 308433|
|Contact: Tasha Mahadi +65 63578124 firstname.lastname@example.org|
|Principal Investigator: Hee Hwa Ho|
|Sub-Investigator: Yeong Shyan Lee|
|Sub-Investigator: Prabath F Joseph|
|Principal Investigator:||Mark Chan||National University Heart Centre, Singapore|
|Study Chair:||A. Mark Richards||National University Heart Centre, Singapore|