Coronary arterial age for mortality prediction and risk reclassification in SCORE COVID-19 registry: When vascular age runs faster or slower than chronological age.
Background Coronary arterial age (CAA), derived from coronary artery calcium (CAC) percentiles from the Multi-Ethnic Study of Atherosclerosis (MESA), reflects vascular biological ageing. Its prognostic role in acute settings such as COVID-19 remains unclear. Methods We analysed 1482 hospitalized pat...
| Publicado en: | Age & Ageing Vol. 55; no. 4; pp. 1 - 9 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Apr2026
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=193500091&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 193500091 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Apr2026 vid: 55 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 193500091 10.1093/ageing/afag096 ppf: 1 ppct: 8 formats: tig: atl: Coronary arterial age for mortality prediction and risk reclassification in SCORE COVID-19 registry: When vascular age runs faster or slower than chronological age. aug: au: Cereda, Alberto Toselli, Marco Palmisano, Anna Stracqualursi, Marco Tumminello, Gabriele Giannini, Francesco Lucreziotti, Stefano Esposito, Antonio affil: Division of Interventional Cardiology, Department of Cardiology, ASST Santi Paolo e Carlo, San Carlo Borromeo Hospital, Milan, Italy Department of Cardiology, GVM Care & Research, Maria Cecilia Hospital, Cotignola, Italy Department of Radiology, IRCCS San Raffaele Scientific Institute, Milan, ItalyDepartment of Radiology, Vita-Salute San Raffaele University, Milan, Italy Department of Cardiology, Fondazione IRCCS Caà Granda Ospedale Maggiore Policlinico, Milan, ItalyDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy Department of Cardiology, IRCCS Galeazzi Sant'Ambrogio Hospital, Milan, Italy su: Italy Aging COVID-19 pandemic Mortality risk factors Risk assessment Prediction models T-test (Statistics) Receiver operating characteristic curves Scientific observation Fisher exact test Multiple regression analysis Reporting of diseases Mann Whitney U Test Chi-squared test Descriptive statistics Calcium Longitudinal method Kaplan-Meier estimator Log-rank test Research Statistics Coronary artery disease Comparative studies Confidence intervals Data analysis software Survival analysis (Biometry) COVID-19 Proportional hazards models Regression analysis sug: subj: Aging COVID-19 pandemic Italy Mortality risk factors Risk assessment Prediction models T-test (Statistics) Receiver operating characteristic curves Scientific observation Fisher exact test Multiple regression analysis Reporting of diseases Mann Whitney U Test Chi-squared test Descriptive statistics Calcium Longitudinal method Kaplan-Meier estimator Log-rank test Research Statistics Coronary artery disease Comparative studies Confidence intervals Data analysis software Survival analysis (Biometry) COVID-19 Proportional hazards models Regression analysis keyword: biological age calcium copyrightHolder:British Geriatrics Society copyrightYear:2026 coronary arterial age coronary artery calcium coronary artery calcium (CAC) diagnostic imaging https://dx.doi.org/10.1093/ageing/afag096 inLanguage:en mortality mortality prediction older people patient prognosis publisher:Oxford University Press risk stratification sameAs:https://pubmed.ncbi.nlm.nih.gov/42003349/ stratification biological age calcium copyrightHolder:British Geriatrics Society copyrightYear:2026 coronary arterial age coronary artery calcium coronary artery calcium (CAC) diagnostic imaging https://dx.doi.org/10.1093/ageing/afag096 inLanguage:en mortality mortality prediction older people patient prognosis publisher:Oxford University Press risk stratification sameAs:https://pubmed.ncbi.nlm.nih.gov/42003349/ stratification ab: Background Coronary arterial age (CAA), derived from coronary artery calcium (CAC) percentiles from the Multi-Ethnic Study of Atherosclerosis (MESA), reflects vascular biological ageing. Its prognostic role in acute settings such as COVID-19 remains unclear. Methods We analysed 1482 hospitalized patients from the multicentre SCORE-COVID registry undergoing chest CT. CAA was estimated from CAC percentiles; ΔAge was defined as CAA minus chronological age. A calcium-adjusted biological age (BioAge) was also assessed. The primary endpoint was 30-day all-cause mortality. Results Chronological age and CAA showed similar discrimination (AUC 0.76 vs 0.74; P = .466) and were independently associated with mortality and increased stepwise across ΔAge strata. CAA mainly improved specificity by down-classifying survivors. While no significant interaction was observed between CAA and the 4C score, ΔAge significantly re-stratified mortality risk among patients at high 4C risk. Conclusions CAA demonstrated prognostic performance comparable to chronological age for short-term mortality in COVID-19 and added clinically relevant information on vascular ageing. BioAge meaningfully refined risk stratification among patients at high clinical risk, supporting its use as an adjunctive biomarker whenever chest CT imaging is available. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|