Effect of the Intelligent Lipid Management Decision-support System on 1-year LDL-C Target Achievement in Ischemic Stroke or TIA Patients Under Evolocumab Treatment in China

Capital Medical University

Status: Enrolling

Conditions: Ischemic Stroke; Transient Ischemic Attack (TIA)

Treatments: Device: the Intelligent Lipid Management Decision-support System

Study type: Interventional

Funder types: Other

Identifiers

NCT07143149

KY2025-210 -02

Details and patient eligibility

About

This study will conduct a cluster randomized controlled trial to Evaluate whether the Intelligent Lipid Management Decision-support System can increase the proportion of patients 1-year target achievement (<1.8 mmol/L) in acute ischemic stroke or TIA patients under Evolocumab treatment within 12 months post-intervention.

Full description

Large scale randomized trials and systematic reviews have established the efficacy of lipid lowering therapy for acute ischemic stroke. However, adherence to these evidence-based performance measures is suboptimal and gaps in adherence to guideline recommended care are even greater in China. Multifaceted quality improvement interventions that address the barriers to care are effective in changing physician practices. Quality improvement interventions have demonstrated that stroke care quality can be improved by conducting interventions such as using clinical pathways, training physicians on evidence-based guidelines, auditing care delivery, and providing timely feedback.

Aim: To Evaluate whether the Intelligent Lipid Management Decision-support System can increase the proportion of patients 1-year target achievement (<1.8 mmol/L) in acute ischemic stroke or TIA patients under Evolocumab treatment within 12 months post-intervention.

Intervention: The Intelligent Lipid Management Decision-support System primarily consists of an evidence-based clinical pathway. The evidence-based clinical pathway was written by a panel of stroke experts according to the published statements in peer-reviewed literature, consensus statements and guidelines. It was integrated into the care plan of each eligible stroke admission.

Eligible hospitals in china, stratified by economic-geographical regions, will be randomized into either the intervention group or the control group.

Enrollment: 4,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria

1. Age≥18 years as of the screening date;
2. Patients with non-cardioembolic ischemic stroke or TIA within 3 months prior to the screening date;
3. Prescribed Evolocumab at physician's discretion;
4. Signed informed consent.

Exclusion Criteria:

1. Intracranial hemorrhagic diseases: such as cerebral hemorrhage, subarachnoid hemorrhage, etc.;
2. Patients confirmed by baseline head CT or MRI to have hemorrhage or other pathological brain diseases, such as vascular malformations, tumors, abscesses, or other common non-ischemic brain diseases (such as multiple sclerosis);
3. Silent cerebral infarction without signs and symptoms;
4. Participation in a clinical trial of another drug or device in the past 3 months or ongoing at the time of the screening date;
5. Any prior use of Evolocumab or other PCSK9 inhibitor treatments within the past 6 months prior to the screening date;
6. Life expectancy <12 months or unable to complete the research for other reasons as of the screening date;
7. Inability to understand and/or follow research procedures due to mental, cognitive, or emotional disorders;
8. Refusal to participate in the enrollment survey.

Trial design

Primary purpose: Prevention

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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4,000 participants in 2 patient groups

the Intelligent Lipid Management Decision-support System

Experimental group

Description:

Doctor's Side: Long-term lipid management support based on guidelines/consensus• Provides lipid management pathways based on guidelines/consensus to ensure clinical decisions align with the latest standards.• Combines individualized patient data to offer intelligent lipid management and medication suggestions.• Provides medical education support to enhance doctors' awareness of guidelines, consensus, and management strategies.Patient's Side: Personalized lipid risk assessment and regular reminders• Based on the lipid test reports uploaded by patients via photos, provides lipid test reports tailored to the patient's risk stratification.• Uses digital tools to regularly remind patients, optimizing follow-up adherence and medication compliance.

Treatment:

Device: the Intelligent Lipid Management Decision-support System

Usual Care

No Intervention group

Description:

Usual Care