About this trial
Carotid artery stenosis is a major cause of ischemic stroke. However, many strokes occur in patients with only mild-to-moderate stenosis. Evidence shows that it is not the degree of narrowing, but the "vulnerability" of the plaque-its internal composition-that determines rupture risk.
High-risk (vulnerable) plaques have a large lipid-rich necrotic core, a thin fibrous cap, and intraplaque hemorrhage. Statins can lower cholesterol and stabilize plaques, but some patients still experience progression or recurrent events.
PCSK9 inhibitors (such as evolocumab and alirocumab) are a new class of lipid-lowering drugs that reduce LDL cholesterol more strongly than statins alone. They may also have direct effects on the artery wall, improving plaque stability. Whether they can remodel vulnerable carotid plaques and how early this can be detected remains unclear.
This study uses high-resolution magnetic resonance imaging (HR-MRI), a non-invasive technique that visualizes plaque internal structure-including the lipid core, fibrous cap, and hemorrhage-to track changes over time.
Purpose: The RESCUE study aims to determine whether adding a PCSK9 inhibitor to standard statin therapy can remodel and stabilize vulnerable carotid plaques, and to detect these changes early using HR-MRI.
Design: This is a single-center, prospective, randomized, controlled, open-label trial with blinded endpoint evaluation (PROBE design). 120 adults with carotid vulnerable plaques will be enrolled at Beijing Tsinghua Chang Gung Hospital and randomly assigned 1:1 to: (1) Experimental group (n=60): statin PLUS PCSK9 inhibitor (subcutaneous injection); (2) Control group (n=60): statin alone. Follow-up is 24 months. HR-MRI is performed at baseline, 6, 12, and 24 months. Blood samples are collected for lipid and inflammatory markers. HR-MRI analysis is performed by blinded radiologists.
Primary Outcome: Change in lipid-rich necrotic core volume by HR-MRI at 12 and 24 months.
Secondary Outcomes: Fibrous cap thickness, intraplaque hemorrhage, remodeling index, LDL-C levels, inflammatory markers, and clinical events (stroke, TIA, cardiovascular death) over 24 months.
Status: Not yet recruiting. Planned start: January 2027. Conducted at Beijing Tsinghua Chang Gung Hospital, Beijing, China.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
. Carotid stenosis ≥30% detected by carotid ultrasound, not meeting criteria for surgical intervention, and confirmed presence of vulnerable plaque by HR-MRI (meeting any of the following: incomplete or thin fibrous cap <0.5 mm; lipid-rich necrotic core [LRNC] volume ≥40% of plaque volume; intraplaque hemorrhage [IPH]; or neovascularization).
Receiving standard statin therapy (moderate intensity or higher) for ≥3 months, with LDL-C still ≥1.8 mmol/L (70 mg/dL).
Willing to adhere to follow-up and provide signed informed consent.
Disqualifiers
Allergy or contraindication to PCSK9 inhibitors.
Active liver disease, myopathy, or creatine kinase (CK) elevation >5 times the upper limit of normal.
History of carotid revascularization (carotid endarterectomy [CEA] or carotid artery stenting [CAS]).
Renal insufficiency (estimated glomerular filtration rate [eGFR] <30 ml/min).
Trial design
Parallel
Treatments tested in this trial
Intervention 1
DrugEvolocumab Description: 140 mg subcutaneous injection every 2 weeks. Dose may be adjusted based on LDL-C response per clinical judgment.
Intervention 3
DrugAtorvastatin Description: 20 mg orally once daily. Dose titrated to achieve LDL-C target per guidelines.
Intervention 2
DrugAlirocumab Description: 75 mg subcutaneous injection every 2 weeks. Dose may be adjusted based on LDL-C response per clinical judgment.
Intervention 4
DrugRosuvastatin Description: 10 mg orally once daily. Dose titrated to achieve LDL-C target per guidelines.
Treatment groups
Trial outcomes
Primary outcomes
Change in lipid-rich necrotic core (LRNC) volume
Change from baseline in the volume of the lipid-rich necrotic core (LRNC) of the carotid plaque, measured by high-resolution magnetic resonance imaging (HR-MRI) at baseline, 6, and 12 months. LRNC volume is quantified using 3D multi-contrast HR-MRI sequences (including contrast-enhanced T1-weighted imaging) with semi-automated segmentation. The percentage change from baseline will also be reported.
Change in fibrous cap thickness
Change from baseline in the thickness of the fibrous cap of the carotid plaque, measured by high-resolution magnetic resonance imaging (HR-MRI) at baseline, 6, and 12 months. Fibrous cap thickness is quantified at the thinnest point of the plaque using 3D multi-contrast HR-MRI sequences with semi-automated segmentation and same-plaque longitudinal co-registration. The percentage change from baseline will also be reported.
Change in intraplaque hemorrhage
Change in intraplaque hemorrhage (volume or signal characteristics) of the carotid plaque, as measured by high-resolution magnetic resonance imaging (HR-MRI) at 6 months, and 12 months
Secondary outcomes
Change from baseline in low-density lipoprotein cholesterol (LDL-C) levels
Change from baseline in low-density lipoprotein cholesterol (LDL-C) levels, measured from fasting venous blood samples at baseline, 6, and 12 months. LDL-C is quantified using standard enzymatic assays (or homogeneous direct method). The percentage change from baseline and the proportion of participants achieving target LDL-C (\<1.4 mmol/L or per protocol) will also be reported.
Serum concentrations of inflammatory markers (hs-CRP, IL-6) at baseline, 6, and 12 months
Serum concentrations of high-sensitivity C-reactive protein (hs-CRP) and interleukin-6 (IL-6) measured at baseline, 6 months, and 12 months. Change from baseline will also be calculated.
Number of participants with clinical events (ischemic stroke, transient ischemic attack [TIA], or cardiovascular death)
Number of participants experiencing a composite endpoint of ischemic stroke, transient ischemic attack (TIA), or cardiovascular death during the follow-up period, assessed at 6, 12, and 24 months.
Other outcomes
Performance of machine learning model for predicting plaque stabilization
Predictive performance (e.g., area under the curve \[AUC\], sensitivity, specificity) of the machine learning model integrating baseline and follow-up HR-MRI features with clinical and laboratory parameters for identifying plaque stabilization at 24 months.
Locations
Sponsors and contacts
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Keqiang Zhao
Lead sponsor
Beijing Tsinghua Chang Gung Hospital
Sponsor institution
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