Longevity & AgingArticolo di ricercaAccesso aperto

Why Some Arteries Clog Fast and Standard Risk Scores Miss It

A review explains accelerated atherosclerosis: inflammatory diseases, Lp(a), and CHIP drive rapid plaque growth that standard risk tools underestimate.

venerdì 6 novembre 2026 1 visualizzazione
Pubblicato in Medicina (Kaunas)
Cross-section of an artery with glowing yellow plaque, inflammatory immune cells, and lipoprotein particles in the vessel wall

Riepilogo

Accelerated atherosclerosis (AA) is plaque that forms earlier and grows faster than standard risk equations such as PREVENT and SCORE2 predict. This narrative review covers conditions where AA is best established: rheumatoid arthritis, lupus, antiphospholipid syndrome, chronic kidney disease, HIV, diabetes, and psoriasis. It also covers genetic drivers, notably lipoprotein(a) and clonal hematopoiesis (CHIP), and how to detect and monitor the process. Carotid and femoral ultrasound, coronary calcium scoring, and selected CT angiography can reveal plaque directly when risk scores fall short. Treatment rests on aggressive lipid lowering, with inflammation as an emerging target. The evidence is largely observational, and several tools, such as pericoronary fat attenuation and polygenic scores, remain investigational.

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Riepilogo Dettagliato

Standard cardiovascular risk calculators can miss people whose arteries are aging faster than their age, sex, and cholesterol suggest. This review defines accelerated atherosclerosis (AA) as plaque that develops earlier, progresses faster, and causes more events than baseline models predict. In practice that means under-predicted by standard tools. One imaging definition of rapid progression is a rise in percent atheroma volume above 1% per year. The authors stress that inflammation amplifies, but does not replace, the causal role of apoB-containing lipoproteins.

This is a narrative review, not a new trial. It surveys conditions with firmly established AA: rheumatoid arthritis, systemic lupus erythematosus, antiphospholipid syndrome, chronic kidney disease, HIV, diabetes, and psoriasis. It also covers cardiac allograft vasculopathy and post-COVID-19 observations. The authors then examine genetic contributors (familial hypercholesterolemia, lipoprotein(a), CHIP, polygenic scores, epigenetics), imaging methods, and therapies.

The cited data are striking. In lupus, coronary event risk in women aged 35–44 has been reported at up to fiftyfold background, and antiphospholipid antibodies and cumulative steroid dose independently predicted subclinical progression. About half of antiphospholipid syndrome patients developed a new plaque over 7 years. In chronic kidney disease, coronary calcium progression of 50 or more Agatston units per year predicted events and death. REPRIEVE suggested statin benefit in HIV exceeds what LDL lowering alone explains. High Lp(a) (≥75 mg/dL) carried a hazard ratio of 1.75 for events, and guidance now suggests measuring it once in every adult. TET2 and JAK2 CHIP promote plaque through NLRP3 inflammasome and IL-1β/IL-6 signaling, and TET2 carriers benefited more from IL-1β blockade in a CANTOS analysis.

For detection, the authors favor carotid and femoral ultrasound and coronary calcium scoring. Among 1569 adults without known disease, subclinical plaque was found in 54.7%, and three or more plaques carried a hazard ratio of 2.90. Serial CT angiography can quantify progression (for example, total atheroma volume up by more than 10–20 mm³ per year). It is not recommended as routine scheduled monitoring, because of radiation, contrast, and cost. Invasive angiography is reserved for established indications, and invasive surveillance is specific to heart transplant. Intravascular ultrasound trials show high-intensity statins halted progression in about two-thirds of patients, with further regression when ezetimibe or PCSK9 inhibitors are added.

Caveats are substantial. Most evidence is observational, many imaging trials enrolled conventional coronary disease rather than AA-defined patients, and there is no universal AA definition. Pericoronary fat attenuation, microRNAs, polygenic scores, and epigenetic markers remain investigational and support risk refinement, not an AA-specific diagnosis.

Risultati Principali

  • AA is defined practically as atherosclerosis under-predicted by standard tools like PREVENT and SCORE2, often with plaque volume rising above 1% per year.
  • In lupus, antiphospholipid antibodies (OR 2.00) and cumulative corticosteroid dose (OR 1.38) independently predicted subclinical atherosclerosis progression.
  • CKD patients with coronary calcium rising 50 or more Agatston units yearly had higher rates of atherosclerotic events, heart failure, and death.
  • Lp(a) ≥75 mg/dL carried a 1.75 hazard ratio for events; TET2 and JAK2 CHIP drive plaque through inflammasome activation.
  • High-intensity statins halted plaque progression in about 66% of patients; ezetimibe and PCSK9 inhibitors added further regression.

Metodologia

Narrative review synthesizing published epidemiologic, imaging, genetic, and therapeutic studies across conditions linked to accelerated atherosclerosis. It is not a systematic review, so there is no formal search protocol, quality appraisal, or pooled analysis by the authors.

Limitazioni dello Studio

The review is narrative, with no universally accepted AA definition, and much of the evidence is observational and cannot establish causation (for example, post-COVID plaque changes). Many imaging and statin trials enrolled conventional coronary disease rather than AA populations. Pericoronary fat attenuation, polygenic scores, microRNAs, and epigenetic markers are not validated for routine AA diagnosis. The provided text was also truncated before the biomarker and treatment sections.

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