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This study aims to evaluate whether digital cognitive training and/or intensive lipid-lowering therapy with a PCSK9 inhibitor can improve cognitive function in patients with intracranial atherosclerosis (ICAS).
ICAS is a common cause of stroke and is also linked to thinking and memory problems. The study will enroll 420 adults aged 55-80 years who have 50-99% narrowing of an intracranial artery, subjective memory complaints, and LDL cholesterol ≥1.8 mmol/L, but who are not demented.
Participants will be randomly assigned to one of four groups in a 2×2 factorial design:
Cognitive training consists of 30 minutes of tablet-based exercises, 5 days per week for 12 weeks. The intensive lipid-lowering group receives a PCSK9 inhibitor (Recaticimab) injection at weeks 0, 4, and 12, on top of maximally tolerated statin.
The main outcome is change in a composite cognitive score from baseline to 24 weeks. Secondary outcomes include changes in specific cognitive domains, MRI markers of brain structure and function, and safety measures.
The study is multicenter, open-label with blinded outcome assessment, and is conducted under the approval of the ethics committee of Peking Union Medical College Hospital.
This is a national, multicenter, 2×2 factorial randomized controlled trial with a PROBE design (Prospective, Randomized, Open-label, Blinded Endpoint assessment). The study is conducted in China and is approved by the Institutional Review Board of Peking Union Medical College Hospital.
Background and Rationale:
Intracranial atherosclerotic stenosis (ICAS) is highly prevalent in Asian populations and is associated with both ischemic stroke and vascular cognitive impairment. Chronic hypoperfusion, microemboli, and white matter damage contribute to cognitive decline. While digital cognitive training has shown benefit in mild cognitive impairment, and PCSK9 inhibitors profoundly lower LDL-C and stabilize plaque, no trial has directly tested their combined effect on cognition in ICAS patients. This study aims to fill that gap.
Study Objectives:
Study Population:
Inclusion criteria: age 55-80 years, education ≥6 years, MRA/CTA/DSA-confirmed 50-99% intracranial arterial stenosis, no large (>3cm) brain infarct, baseline LDL-C ≥1.8 mmol/L, subjective cognitive decline, MMSE ≥24, ADL <18, no dementia, able to operate a tablet, pass a run-in period, agree to statin and PCSK9 inhibitor, and able to complete neuropsychological and MRI assessments.
Exclusion criteria: ≥50% extracranial stenosis, acute cerebrovascular event within 90 days, MRI contraindications, severe white matter disease (Fazekas 3), non-atherosclerotic stenosis, neurodegenerative disease, severe comorbidities, major psychiatric illness, prior PCSK9 inhibitor use, contraindications to statins or PCSK9 inhibitors, significant liver or muscle enzyme elevations, etc.
Sample Size:
A total of 420 participants will be enrolled (approximately 204 per marginal comparison after accounting for 20% dropout). Power calculation assumed a conservative effect size of Δμ=0.4 for the composite cognitive Z-score (σ=1), α=0.05 (two-sided), 1-β=0.80.
Randomization and Blinding:
Subjects are randomized 1:1:1:1 via an interactive web response system (IWRS), stratified by center and symptomatic ICAS status (prior stroke/TIA yes/no). Random block sizes are used. The study is open-label for the interventions, but outcome assessors (neuropsychological testers, MRI readers) are blinded to treatment allocation. Separate blinded and unblinded teams manage assessments and intervention delivery, respectively.
Interventions:
Outcome Measures:
Study Schedule:
Statistical Analysis:
Primary analysis will use a linear mixed-effects model (LMM) with subject as random effect, time as repeated measure, and fixed effects: factor A (training), factor B (PCSK9 inhibitor), time, A×B, A×time, B×time, and A×B×time. Baseline cognitive status and other prespecified covariates (center, age, education) will be adjusted. The primary inference is the marginal mean difference at week 24 with 95% CI. Intention-to-treat (ITT) analysis is primary; per-protocol and sensitivity analyses will be performed. Secondary outcomes will be analyzed similarly. Safety data will be summarized descriptively.
Data Monitoring and Quality:
The study will be monitored by independent clinical research associates. All serious adverse events (SAEs) will be reported within 24 hours to the sponsor and the ethics committee. Data will be collected using an electronic data capture (EDC) system. The database will be locked after data cleaning, and statistical analysis will follow a pre-specified SAP (Statistical Analysis Plan).
Ethics and Dissemination:
The protocol has been approved by the ethics committee of Peking Union Medical College Hospital (I-26PJ0926). Written informed consent will be obtained from all participants. Results will be submitted for publication in peer-reviewed journals, regardless of the outcome.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control group | Active Comparator | No digital cognitive training + maximum statin tolerance only Participants receive maximally tolerated statin (rosuvastatin 20mg or atorvastatin 40mg daily, with optional ezetimibe 10mg at investigator discretion) for 24 weeks. No digital cognitive training. Instead, they receive low-difficulty standardized tasks as active control (same tablet, contact time, and push frequency but no adaptive multi-domain training). |
|
| Lipid-lowering intervention group | Experimental | No digital cognitive training + maximum tolerance statin plus PCSK9 inhibitor Participants receive maximally tolerated statin (as in Arm 1) plus subcutaneous PCSK9 inhibitor (Recaticimab) injections: 150mg at week 0, 300mg at week 4, 450mg at week 12. No digital cognitive training; they receive the same low-difficulty active control as in Arm 1. Total treatment duration is 24 weeks. |
|
| Training intervention group | Experimental | Digital cognitive training + maximum statin tolerance only Participants receive maximally tolerated statin (as in Arm 1) for 24 weeks. In addition, they undergo 12 weeks of digital cognitive training: adaptive, multi-domain (processing speed, attention, perception, memory, language, executive function) delivered via tablet. Participants are asked to train 30 minutes/day, 5 days/week. Minimum dose: ≥3 days/week and ≥20 minutes/session or ≥60 minutes/week. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Rosuvastatin | Drug | Rosuvastatin 20mg or Atorvastatin 40mg orally once daily, at the maximally tolerated dose, for 24 weeks. Dose may be adjusted for intolerance or safety. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change from baseline in composite cognitive Z-score at week 24 | The composite cognitive Z-score is derived from five cognitive domains: memory, executive function, visuospatial ability, attention, and language. Each individual test score is first standardized to a Z-score using normative mean and SD, with direction aligned so that higher scores indicate better function (reaction times are reverse-coded). Domain Z-scores are the equally weighted average of the prespecified core tests within each domain. The overall composite Z-score is the equally weighted average of the five domain Z-scores. The outcome is the change from baseline to week 24, with positive values indicating improvement. | Baseline to 24 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Change from baseline in composite cognitive score at week 12 | Same composite Z-score as primary outcome, derived from memory, executive, visuospatial, attention, and language domains. Outcome is change from baseline to week 12. | Baseline to 12 weeks |
| Change from baseline in MoCA total score at week 12 and week 24 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Zijue Wang, MD | Contact | +86 15901586608 | Zijue_wang@163.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Peking Union Medical College Hospital | Beijing | Beijing Municipality | 100730 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29141161 | Background | Giugliano RP, Sabatine MS, Ott BR. Cognitive Function in a Randomized Trial of Evolocumab. N Engl J Med. 2017 Nov 16;377(20):1997. doi: 10.1056/NEJMc1712102. No abstract available. | |
| 30894299 | Background | Tang Y, Xing Y, Zhu Z, He Y, Li F, Yang J, Liu Q, Li F, Teipel SJ, Zhao G, Jia J. The effects of 7-week cognitive training in patients with vascular cognitive impairment, no dementia (the Cog-VACCINE study): A randomized controlled trial. Alzheimers Dement. 2019 May;15(5):605-614. doi: 10.1016/j.jalz.2019.01.009. Epub 2019 Mar 17. |
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No plan to share IPD due to absence of consent for data sharing and institutional policies protecting participant confidentiality.
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This study was randomized for 2×2 factors: factor A (digital cognitive training: with/without) and factor B (intensive lipid-lowering: PCSK9 addition/no addition), a total of 4 groups. Randomization was performed using a centralized randomization system with 1:1:1:1 allocation to four intervention combinations. In order to balance implementation feasibility with key prognostic factors, randomization stratification factors were limited to the study center and symptomatic ICAS status (previous ischemic stroke or TIA: yes/no), and block randomization with variable block size was used within each stratum to keep allocation hidden.
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The study adopted a design featuring open-label intervention and blinded endpoint assessment (PROBE).
The blinded group investigator is only responsible for the evaluation and judgment related to the endpoint. The blinded group researchers did not obtain or ask the subjects about intervention allocation information during the entire study period, and did not participate in informed consent, random assignment, intervention implementation, adherence management, and medication adjustment.
The unblinded investigator is responsible for all study implementation except for endpoint assessment. Non-blind monitors are responsible for research process monitoring and quality control. The non-blind auditor is responsible for handling issues related to the digital cognitive intervention system, providing technical/process advice, and reviewing the monitoring report of the non-blinded monitor.
| Combined intervention group |
| Experimental |
Digital cognitive training + maximum tolerance statin plus PCSK9 inhibitor Participants receive both intensive interventions: maximally tolerated statin plus PCSK9 inhibitor (Recaticimab injections at weeks 0,4,12 as in Arm 3) **and** 12 weeks of digital cognitive training (same adaptive program as in Arm 2). Total treatment duration is 24 weeks. |
|
| Ezetimibe | Drug | Ezetimibe 10mg orally once daily, at investigator's discretion, in combination with statin therapy for 24 weeks. |
|
| Recaticimab | Drug | Recaticimab (PCSK9 inhibitor) subcutaneous injection: 150mg at week 0, 300mg at week 4, 450mg at week 12, on top of maximally tolerated statin ± ezetimibe. Total treatment duration 24 weeks. |
|
| Digital Cognitive Training | Behavioral | Tablet-based adaptive cognitive training covering six domains: processing speed, attention, perception, memory, language, and executive function. Participants are instructed to train 30 minutes/day, 5 days/week for 12 weeks. The system adjusts difficulty based on performance. |
|
|
| Active Control | Behavioral | Participants receive low-difficulty standardized tasks on the same tablet platform, with similar contact time and push frequency as the intervention group. No adaptive multi-domain training is provided. Used to control for non-specific effects of device use and attention. |
|
Montreal Cognitive Assessment (MoCA) total score . Outcome is change from baseline at week 12 and week 24. |
| Baseline to 12 weeks and Baseline to 24 weeks |
| Change from baseline in five cognitive domain Z-scores at week 12 and week 24 | Domain-specific Z-scores for memory, executive function, visuospatial ability, attention, and language. Each domain Z-score is the equally weighted average of prespecified core tests within that domain. Outcome is change from baseline at week 12 and week 24. | Baseline to 12 weeks and Baseline to 24 weeks |
| Change from baseline in whole-brain atherosclerotic burden at week 24 | Whole-brain atherosclerotic burden is assessed by TOF-MRA, summing stenosis scores (0,1,2) across 11 intracranial arterial segments (range 0-22, higher indicates greater burden). Outcome is change from baseline to week 24. | Baseline to 24 weeks |
| Change from baseline in plaque burden at the most stenotic site at week 24 | Plaque burden measured by high-resolution MRI (HRMRI) at the most stenotic intracranial artery site. Plaque burden = (vessel wall area - lumen area)/vessel wall area × 100%. Outcome is change from baseline to week 24. | Baseline to 24 weeks |
| 23985135 | Background | Chapman SB, Aslan S, Spence JS, Hart JJ Jr, Bartz EK, Didehbani N, Keebler MW, Gardner CM, Strain JF, DeFina LF, Lu H. Neural mechanisms of brain plasticity with complex cognitive training in healthy seniors. Cereb Cortex. 2015 Feb;25(2):396-405. doi: 10.1093/cercor/bht234. Epub 2013 Aug 28. |
| 31219687 | Background | Risk Reduction of Cognitive Decline and Dementia: WHO Guidelines. Geneva: World Health Organization; 2019. Available from http://www.ncbi.nlm.nih.gov/books/NBK542796/ |
| 38172429 | Background | Chan ATC, Ip RTF, Tran JYS, Chan JYC, Tsoi KKF. Computerized cognitive training for memory functions in mild cognitive impairment or dementia: a systematic review and meta-analysis. NPJ Digit Med. 2024 Jan 3;7(1):1. doi: 10.1038/s41746-023-00987-5. |
| 29282327 | Background | Petersen RC, Lopez O, Armstrong MJ, Getchius TSD, Ganguli M, Gloss D, Gronseth GS, Marson D, Pringsheim T, Day GS, Sager M, Stevens J, Rae-Grant A. Practice guideline update summary: Mild cognitive impairment [RETIRED]: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology. Neurology. 2018 Jan 16;90(3):126-135. doi: 10.1212/WNL.0000000000004826. Epub 2017 Dec 27. |
| 39407328 | Background | Graessel E, Jank M, Scheerbaum P, Scheuermann JS, Pendergrass A. Individualised computerised cognitive training (iCCT) for community-dwelling people with mild cognitive impairment (MCI): results on cognition in the 6-month intervention period of a randomised controlled trial (MCI-CCT study). BMC Med. 2024 Oct 15;22(1):472. doi: 10.1186/s12916-024-03647-x. |
| 37955546 | Background | Sabayan B, Goudarzi R, Ji Y, Borhani-Haghighi A, Olson-Bullis BA, Murray AM, Sedaghat S. Intracranial Atherosclerosis Disease Associated With Cognitive Impairment and Dementia: Systematic Review and Meta-Analysis. J Am Heart Assoc. 2023 Nov 21;12(22):e032506. doi: 10.1161/JAHA.123.032506. Epub 2023 Nov 20. |
| 24007975 | Background | Qureshi AI, Caplan LR. Intracranial atherosclerosis. Lancet. 2014 Mar 15;383(9921):984-98. doi: 10.1016/S0140-6736(13)61088-0. Epub 2013 Sep 2. |
| 28877564 | Background | Yang WJ, Wong KS, Chen XY. Intracranial Atherosclerosis: From Microscopy to High-Resolution Magnetic Resonance Imaging. J Stroke. 2017 Sep;19(3):249-260. doi: 10.5853/jos.2016.01956. Epub 2017 Sep 6. |
| ID | Term |
|---|---|
| D002537 | Intracranial Arteriosclerosis |
| D060825 | Cognitive Dysfunction |
| ID | Term |
|---|---|
| D020765 | Intracranial Arterial Diseases |
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D001161 | Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D003072 | Cognition Disorders |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
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| ID | Term |
|---|---|
| D000068718 | Rosuvastatin Calcium |
| D000069438 | Ezetimibe |
| ID | Term |
|---|---|
| D013449 | Sulfonamides |
| D000577 | Amides |
| D009930 | Organic Chemicals |
| D005464 | Fluorobenzenes |
| D006845 | Hydrocarbons, Fluorinated |
| D006846 | Hydrocarbons, Halogenated |
| D006838 | Hydrocarbons |
| D013450 | Sulfones |
| D013457 | Sulfur Compounds |
| D011743 | Pyrimidines |
| D006573 | Heterocyclic Compounds, 1-Ring |
| D006571 | Heterocyclic Compounds |
| D001384 | Azetidines |
| D001385 | Azetines |
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