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Cerebral white matter hyperintensities indicate severity and progression of coronary artery calcification.

Publikation: Beitrag in FachzeitschriftOriginalarbeit

1 Quellenangabe (Web of Science)

Abstract

Cerebral white matter hyperintensities (WMH) have been associated with subclinical atherosclerosis including coronary artery calcification (CAC). However, previous studies on this association are limited by only cross-sectional analysis. We aimed to explore the relationship between WMH and CAC in elderly individuals both cross-sectionally and longitudinally. The study population consisted of elderly stroke- and dementia-free participants from the community-based Austrian Stroke Prevention Family Study (ASPFS). WMH volume and CAC levels (via Agatston score) were analyzed at baseline and after a 6-year follow-up period. Of 324 study participants (median age: 68 years), 115 underwent follow-up. Baseline WMH volume (median: 4.1 cm3) positively correlated with baseline CAC levels in multivariable analysis correcting for common vascular risk factors (p = 0.010). While baseline CAC levels were not predictive for WMH progression (p = 0.447), baseline WMH volume was associated CAC progression (median Agatston score progression: 27) in multivariable analysis (ß = 66.3 ± 22.3 [per cm3], p = 0.004). Ten of 11 participants (91%) with severe WMH (Fazekas Scale: 3) at baseline showed significant CAC progression > 100 during follow-up. In this community-based cohort of elderly individuals, WMH were associated with CAC and predictive of its progression over a 6-year follow-up. Screening for coronary artery disease might be considered in people with more severe WMH.

OriginalspracheEnglisch
Aufsatznummer4664
Seiten (von - bis)4664
Seitenumfang9
FachzeitschriftScientific Reports
Jahrgang14
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - 26 Feb. 2024

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gute Gesundheit und Wohlergehen
    SDG 3 – Gute Gesundheit und Wohlergehen

Wissenschaftszweige

  • 102 Informatik
  • 106 Biologie
  • 301 Medizinisch-theoretische Wissenschaften, Pharmazie
  • 302 Klinische Medizin

Forschungsfelder

  • Stoffwechsel und Kreislauf
  • Neurowissenschaften

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