Trial Outcomes & Findings for OptimiZation Of Lipid Lowering Therapies Using a Decision Support System In Patients With Acute Coronary Syndrome. (NCT NCT05844566)

NCT ID: NCT05844566

Last Updated: 2026-02-19

Results Overview

Proportion of patients treated with combination therapy, or who receive escalated monotherapy, or escalated combination therapy, within 16 weeks of the index ACS.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

1139 participants

Primary outcome timeframe

16 weeks

Results posted on

2026-02-19

Participant Flow

Unit of analysis: Hospitals

Participant milestones

Participant milestones
Measure
Decision Support System (DSS)
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. Decision Support System (DSS): 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.
Non-Decision Support System (Non-DSS)
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.
Overall Study
STARTED
523 19
616 23
Overall Study
COMPLETED
518 19
609 23
Overall Study
NOT COMPLETED
5 0
7 0

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

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

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Decision Support System (DSS)
n=523 Participants
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. Decision Support System (DSS): 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.
Non-Decision Support System (Non-DSS)
n=616 Participants
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.
Total
n=1139 Participants
Total of all reporting groups
Region of Enrollment
Spain
117 participants
n=4 Participants
172 participants
289 participants
n=4 Participants
Age, Continuous
62 Age in years
STANDARD_DEVIATION 10 • n=4 Participants
61 Age in years
STANDARD_DEVIATION 10
61 Age in years
STANDARD_DEVIATION 10 • n=4 Participants
Sex: Female, Male
Female
126 Participants
n=4 Participants
114 Participants
240 Participants
n=4 Participants
Sex: Female, Male
Male
397 Participants
n=4 Participants
502 Participants
899 Participants
n=4 Participants
Race/Ethnicity, Customized
White
492 Participants
n=4 Participants
563 Participants
1055 Participants
n=4 Participants
Race/Ethnicity, Customized
Black
6 Participants
n=4 Participants
5 Participants
11 Participants
n=4 Participants
Race/Ethnicity, Customized
Mixed race
2 Participants
n=4 Participants
3 Participants
5 Participants
n=4 Participants
Race/Ethnicity, Customized
Asian
22 Participants
n=4 Participants
30 Participants
52 Participants
n=4 Participants
Race/Ethnicity, Customized
North African
1 Participants
n=4 Participants
4 Participants
5 Participants
n=4 Participants
Race/Ethnicity, Customized
Other
0 Participants
n=4 Participants
11 Participants
11 Participants
n=4 Participants
Region of Enrollment
United Kingdom
252 participants
n=4 Participants
282 participants
534 participants
n=4 Participants
Region of Enrollment
Italy
154 participants
n=4 Participants
162 participants
316 participants
n=4 Participants

PRIMARY outcome

Timeframe: 16 weeks

Proportion of patients treated with combination therapy, or who receive escalated monotherapy, or escalated combination therapy, within 16 weeks of the index ACS.

Outcome measures

Outcome measures
Measure
Decision Support System (DSS)
n=523 Participants
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. Decision Support System (DSS): 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.
Non-Decision Support System (Non-DSS)
n=616 Participants
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.
Optimisation of the Intensity of Lipid Lowering Therapy Within 16 Weeks of Index ACS
Primary outcome not met
145 Participants
207 Participants
Optimisation of the Intensity of Lipid Lowering Therapy Within 16 Weeks of Index ACS
Missing
9 Participants
11 Participants
Optimisation of the Intensity of Lipid Lowering Therapy Within 16 Weeks of Index ACS
Primary outcome met
369 Participants
398 Participants

SECONDARY outcome

Timeframe: 16 weeks

Population: Planned analysis of the time to meet the primary endpoint was not performed because the majority of participants who met the primary outcome did so due to being prescribed combination therapy upon discharge. Escalation of treatment therefore occurred within a very short time frame (on the same day or within a few days of the index admission event). Formal time to event analysis was not considered meaningful. Instead we report here the timing of when participants met the primary endpoint.

Timing of initiation of combination therapy or escalation of Lipid lowering therapy in those who met the primary endpoint.

Outcome measures

Outcome measures
Measure
Decision Support System (DSS)
n=523 Participants
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. Decision Support System (DSS): 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.
Non-Decision Support System (Non-DSS)
n=616 Participants
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.
Timing of Initiation
Upon discharge
333 Participants
367 Participants
Timing of Initiation
During 4 month follow up
36 Participants
31 Participants
Timing of Initiation
Primary not met
145 Participants
207 Participants
Timing of Initiation
Missing
9 Participants
11 Participants

SECONDARY outcome

Timeframe: 16 weeks

Population: Participants included if they have a baseline test result and at least one post-baseline test result available after Week 4; latest result used in the analysis, regardless of whether before or after Week 16.

LDL-C by Week 16

Outcome measures

Outcome measures
Measure
Decision Support System (DSS)
n=367 Participants
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. Decision Support System (DSS): 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.
Non-Decision Support System (Non-DSS)
n=366 Participants
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.
LDL-C Level
57 mg/dl
Standard Deviation 27
60 mg/dl
Standard Deviation 26

SECONDARY outcome

Timeframe: 16 weeks

Population: Participants included if they have a baseline test result and at least one post-baseline test result available after Week 4; latest result used in the analysis, regardless of whether before or after Week 16

Proportion of patients reaching target LDL-C level (\<1.4 mmol/L (\<55 mg/dL) by Week 16

Outcome measures

Outcome measures
Measure
Decision Support System (DSS)
n=367 Participants
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. Decision Support System (DSS): 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.
Non-Decision Support System (Non-DSS)
n=366 Participants
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.
Target LDL-C Reduction
201 Participants
184 Participants

Adverse Events

Decision Support System (DSS)

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Non-Decision Support System (Non-DSS)

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Prof. Kausik K Ray

Imperial College London

Phone: +44 7960 181 754

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place