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OptimiZation Of Lipid Lowering Therapies Using a Decision Support System In Patients With Acute Coronary Syndrome. (ZODIAC)

Primary Purpose

Acute Coronary Syndrome, Myocardial Infarction, Ischemic Stroke

Status
Recruiting
Phase
Not Applicable
Locations
United Kingdom
Study Type
Interventional
Intervention
Decision Support System (DSS)
Sponsored by
Imperial College London
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional other trial for Acute Coronary Syndrome focused on measuring Acute Coronary Syndrome, Decision Support System, Lipid Lowering Therapies, Low Density Lipoprotein, Heart Attack, ST Elevation Myocardial Infarction, Non-ST Elevation Myocardial Infarction, Coronary Disease

Eligibility Criteria

18 Years - 79 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion criteria: Sites: Manage ACS patients as defined by: Symptoms of myocardial ischemia with an unstable pattern, occurring at rest or with minimal exertion, within 72 hours of an unscheduled hospital admission due to presumed or proven obstructive coronary disease and at least one of the following: Elevated cardiac biomarkers Resting electrocardiographic changes consistent with ischemia or infarction, plus additional evidence of obstructive coronary disease from regional wall motion or perfusion abnormality, 70% or more epicardial coronary stenosis by angiography, or need for coronary revascularization procedure Mange post ACS follow up care of patients including risk factor control Ability to provide follow up information on patient care for a minimum of 24 weeks including blood tests Willing/ able to access and undertake training for the DSS Adequate internet connection at site and the ability to access the DSS No restrictions on use of LLTs (within national guidelines/ reimbursement) Ability to include all essential parameters and patient information for DSS input Participants: Aged ≥18 to < 80 years old Provide written informed consent Presenting to a study site with ACS as LLT naïve, monotherapy or combination therapy (defined as more than one LLT agent) Willing to take lipid lowering treatments for the secondary prevention of cardiovascular disease Attending the same study site (or same clinical team) for ACS follow up to ensure follow up data can be collected; or ensure that follow up data can be collected from other clinical institutions as part of the clinical pathway. Exclusion criteria: Sites: Unable to capture/ provide data on patients with ACS during admission and follow up Unable or unwilling to use lipid lowering treatments other than statins for ACS care Participants: Unable to provide written informed consent LDL-C measurement < 1.8 mmol/L at admission

Sites / Locations

  • Russell's Hall HospitalRecruiting

Arms of the Study

Arm 1

Arm 2

Arm Type

Other

No Intervention

Arm Label

Decision Support System (DSS)

Non-Decision Support System (Non-DSS)

Arm Description

Patients of this cohort are seen at a site randomised to the availability of the DSS. These patients will be provided routine clinical care including local/national prescribing guidelines during the course of the study. In addition to routine clinical care, the DSS which is available online, is a tool intended for clinicians to estimate the clinical benefit of any LLT regimen, whether monotherapy or combination therapies.

Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study.

Outcomes

Primary Outcome Measures

Optimisation of the intensity of Lipid Lowering Therapy within 24 weeks of index ACS
Proportion of patients treated with combination therapy, or who receive escalated monotherapy, or escalated combination therapy, within 24 weeks of the index ACS.

Secondary Outcome Measures

Time to initiation
Time to initiation of combination therapy or escalation of Lipid lowering therapy as defined in the primary endpoint
LDL-C Level
LDL-C by Week 24
Target LDL-C reduction
Proportion of patients reaching target LDL-C level (<1.4 mmol/L (<55 mg/dL) by Week 24

Full Information

First Posted
April 25, 2023
Last Updated
October 24, 2023
Sponsor
Imperial College London
Collaborators
Sanofi, Axtria, Inc.
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1. Study Identification

Unique Protocol Identification Number
NCT05844566
Brief Title
OptimiZation Of Lipid Lowering Therapies Using a Decision Support System In Patients With Acute Coronary Syndrome.
Acronym
ZODIAC
Official Title
Implementation of a Decision Support System and Its Effect on Early Optimisation of Lipid-Lowering Therapies in Patients With Acute Coronary Syndrome: a Cluster Randomised Controlled Trial
Study Type
Interventional

2. Study Status

Record Verification Date
October 2023
Overall Recruitment Status
Recruiting
Study Start Date
April 3, 2023 (Actual)
Primary Completion Date
March 31, 2024 (Anticipated)
Study Completion Date
March 31, 2024 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Imperial College London
Collaborators
Sanofi, Axtria, Inc.

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
The goal of this clinical trial is to compare implementation of a Decision Support System (DSS) - aligned to the 2019 ESC/EAS Guidelines - in addition to routine clinical care versus routine clinical care without availability of a DSS, in participants aged ≥18 to < 80 years old presenting with Acute Coronary Syndrome (ACS). The main questions it aims to answer are: to assess whether the availability of a DSS (which provides estimates of risk and estimates of potential benefit through LDL-C lowering) to current practice results in an increase in the early initiation of combination Lipid Lowering Therapies (LLTs) or intensification of LLT regimens compared to current practice alone over a 24-week period after an Acute Coronary Syndromes (ACS) event To estimate in the study cohort the potential benefits of guideline-based LLT intensification via simulation-based methods using estimates of baseline risk: LLT utilisation, additional LDL-C reductions and LDL-C goal achievement, on simulated risk of CV events through modelling. Participants will give consent to randomised clinical sites to collect their data. The clinical sites will either be randomised to standard of care or the availability of and access to the DSS. Researchers will compare patients from DSS and Non-DSS sites to see if the availability of the DSS results in implementation of more intensive lipid lowering regimens, resulting in the achievement of lower LDL-C values as well as the proportion of patients who reach target LDL-C levels (<1.4 mmol/L (<55 mg/dL) by Week 24.
Detailed Description
Patients with acute coronary syndromes (ACS) including myocardial infarction (MI) remain at risk of future cardiovascular events depending upon the interaction between inherited genetic factors/ and environmental factors including cholesterol over their lifetime. Expert guidelines on secondary prevention such as the ESC therefore increasingly recognise a more individualised approach. Lowering LDL-C with high intensity lipid lowering therapies (LLTs) initiated within 10 days of an ACS reduces risk more than less intense regimens. In the SWEDEHEART registry which included 40,6007 patients over a median follow up of 3.78 years, patients who achieved the largest absolute reductions in LDL-C or greatest percentage reduction in LDL-C, had the lowest risk of a range of cardiovascular events and mortality. The approach to use of lipid lowering (LLT) was statin based monotherapy with few attaining the recommended cholesterol goals. The 2019 European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS) dyslipidaemia guidelines categorise patients with an ACS event as very-high risk and recommend an LDL-C goal of < 1.4 mmol/L (<55 mg/dL) and >50% reduction in LDL-C in this population. But several studies in European populations have highlighted gaps between clinical practice/ implementation of treatment recommendations compared with evidence based guideline recommendations. In the DA VINCI study representing 5,888 patients prescribed LLT in 18 European countries, LDL-C goal achievement in very-high risk populations was just 39% per 2016 ESC/EAS guidelines of<1.8mmol/L with only about 18% achieving the new recommended lower goal of <1.4mmol/L. It has become clear that greater implementation/ use of available combination therapies will be needed if lower recommended goals are to be achieved. It is unclear what the barriers are to earlier implementation and may include a lack of physician understanding of risk of further CV events or a lack of understanding of the quantifiable benefits from specific magnitudes of LDL-C lowering. The aim of this trial is to assess whether providing information to those managing ACS patients that quantify absolute risk and the absolute benefit from different lipid lowering regimens through access to a Decision Support Tool (DSS) system is more likely to result in earlier intensification of lipid lowering regimens and thus result in a greater proportion of patients achieving the ESC lipid lowering goals after ACS compared to patients being managed routinely without access to a DSS standard (cluster RCT design). It is well established that unless treatments are initiated through secondary care or as part of acute care pathways, there is considerable inertia in further optimisation of treatment in primary care. Thus, this trial will assess whether presenting quantifiable data on risks and benefits results in behaviour change among secondary care physicians and improves cholesterol management within 6 months of an ACS. The DSS is available online or remotely accessible via a website intended for clinicians to estimate the clinical benefit of any LLT regimen, whether single or combination therapies. The DSS shows the expected risk, risk reductions and number needed to treat for the various treatments selected by the clinical user on the potential value of initiation of an add-on therapy for reducing the risk of other Cardiovascular (CV) events. This DSS provides a graphical and tabular representation of the time-dependent CV treatment benefit model for LLTs published in a peer-reviewed journal article. The trial hypothesises that having a pictorial representation of both individual risk and recommended treatments will encourage clinicians to implement clinical guidelines more closely. The clinicians using the DSS will be asked to complete a DSS evaluation at the end of the trial. Implementing the patient-specific recommendation remains at the clinicians' discretion.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Acute Coronary Syndrome, Myocardial Infarction, Ischemic Stroke
Keywords
Acute Coronary Syndrome, Decision Support System, Lipid Lowering Therapies, Low Density Lipoprotein, Heart Attack, ST Elevation Myocardial Infarction, Non-ST Elevation Myocardial Infarction, Coronary Disease

7. Study Design

Primary Purpose
Other
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
Cluster randomised controlled trial. Study sites are randomised to intervention or no intervention.
Masking
Participant
Masking Description
The patient will be notified at the end of the study in regard to allocation.
Allocation
Randomized
Enrollment
1584 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Decision Support System (DSS)
Arm Type
Other
Arm Description
Patients of this cohort are seen at a site randomised to the availability of the DSS. These patients will be provided routine clinical care including local/national prescribing guidelines during the course of the study. In addition to routine clinical care, the DSS which is available online, is a tool intended for clinicians to estimate the clinical benefit of any LLT regimen, whether monotherapy or combination therapies.
Arm Title
Non-Decision Support System (Non-DSS)
Arm Type
No Intervention
Arm Description
Patients of this cohort are seen at a site randomised to no availability of a DSS (Non-DSS). These patients will be provided routine clinical care including local / national prescribing guidelines during the course of the study.
Intervention Type
Device
Intervention Name(s)
Decision Support System (DSS)
Intervention Description
This DSS will provide estimates of potential benefits in terms of ASCVD risk reduction (composite endpoint: combined non-fatal myocardial infarction, non-fatal ischaemic stroke and cardiovascular death) as a function of treatment duration and magnitude of LDL-C lowering. The DSS does not recommend treatments but shows the expected ASCVD risk, absolute and relative ASCDV risk reductions and number needed to treat for the various treatments selected by the clinical user on the potential value of initiation of an add-on therapy for reducing the risk of recurrent Cardiovascular (CV) events. Implementing the patient-specific recommendation remains at the clinicians' discretion.
Primary Outcome Measure Information:
Title
Optimisation of the intensity of Lipid Lowering Therapy within 24 weeks of index ACS
Description
Proportion of patients treated with combination therapy, or who receive escalated monotherapy, or escalated combination therapy, within 24 weeks of the index ACS.
Time Frame
24 weeks
Secondary Outcome Measure Information:
Title
Time to initiation
Description
Time to initiation of combination therapy or escalation of Lipid lowering therapy as defined in the primary endpoint
Time Frame
24 weeks
Title
LDL-C Level
Description
LDL-C by Week 24
Time Frame
24 weeks
Title
Target LDL-C reduction
Description
Proportion of patients reaching target LDL-C level (<1.4 mmol/L (<55 mg/dL) by Week 24
Time Frame
24 weeks

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
79 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion criteria: Sites: Manage ACS patients as defined by: Symptoms of myocardial ischemia with an unstable pattern, occurring at rest or with minimal exertion, within 72 hours of an unscheduled hospital admission due to presumed or proven obstructive coronary disease and at least one of the following: Elevated cardiac biomarkers Resting electrocardiographic changes consistent with ischemia or infarction, plus additional evidence of obstructive coronary disease from regional wall motion or perfusion abnormality, 70% or more epicardial coronary stenosis by angiography, or need for coronary revascularization procedure Mange post ACS follow up care of patients including risk factor control Ability to provide follow up information on patient care for a minimum of 24 weeks including blood tests Willing/ able to access and undertake training for the DSS Adequate internet connection at site and the ability to access the DSS No restrictions on use of LLTs (within national guidelines/ reimbursement) Ability to include all essential parameters and patient information for DSS input Participants: Aged ≥18 to < 80 years old Provide written informed consent Presenting to a study site with ACS as LLT naïve, monotherapy or combination therapy (defined as more than one LLT agent) Willing to take lipid lowering treatments for the secondary prevention of cardiovascular disease Attending the same study site (or same clinical team) for ACS follow up to ensure follow up data can be collected; or ensure that follow up data can be collected from other clinical institutions as part of the clinical pathway. Exclusion criteria: Sites: Unable to capture/ provide data on patients with ACS during admission and follow up Unable or unwilling to use lipid lowering treatments other than statins for ACS care Participants: Unable to provide written informed consent LDL-C measurement < 1.8 mmol/L at admission
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Maria Moreno Morales
Phone
+44 (0) 7935 352902
Email
m.moreno-morales@imperial.ac.uk
First Name & Middle Initial & Last Name or Official Title & Degree
Steph Amiridis
Phone
+44 20 7594 0994
Email
s.amiridis@imperial.ac.uk
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Kausik Ray, Professor
Organizational Affiliation
Imperial College London
Official's Role
Principal Investigator
Facility Information:
Facility Name
Russell's Hall Hospital
City
Dudley
State/Province
West Midlands
ZIP/Postal Code
DY12HQ
Country
United Kingdom
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Joe Martins, Doctorate

12. IPD Sharing Statement

Plan to Share IPD
No
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http://cordova.apache.org/
Description
Framework to aid in the creation of apps across multiple platforms including iOS, Android and Windows.
URL
http://angular.io/guide/what-is-angular
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Angular is a development platform, built on TypeScript. This link can help you understand Angular: what Angular is, what advantages it provides, and what you might expect as you start to build applications
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https://www.abdn.ac.uk/hsru/documents/iccs-web.xls
Description
Empirical estimates of ICCs from changing professional practice studies. (Very small ICCs rounded to 0.0001; Negative ICCs truncated at zero; n/a = not applicable).

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OptimiZation Of Lipid Lowering Therapies Using a Decision Support System In Patients With Acute Coronary Syndrome.

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