Research
Print page Print page
Switch language
Bispebjerg Hospital - a part of Copenhagen University Hospital
Published

Relationship between patient presentation and morphology of coronary atherosclerosis by quantitative multidetector computed tomography

Research output: Contribution to journalJournal articleResearchpeer-review

DOI

  1. Prognostic value of left atrial strain in predicting cardiovascular morbidity and mortality in the general population

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Caffeine and myocardial perfusion: a clinical perspective

    Research output: Contribution to journalEditorialResearchpeer-review

  3. Intrinsic mitral valve alterations in hypertrophic cardiomyopathy sarcomere mutation carriers

    Research output: Contribution to journalJournal articleResearchpeer-review

  1. Impact of LDL cholesterol on microvascular versus macrovascular disease: A Mendelian Randomization Study

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Prognosis of COPD depends on severity of exacerbation history: A population-based analysis

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Low LDL cholesterol by PCSK9 variation reduces cardiovascular mortality

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Blood-brain barrier transcytosis genes, risk of dementia and stroke: a prospective cohort study of 74,754 individuals

    Research output: Contribution to journalJournal articleResearchpeer-review

  • Martina C de Knegt
  • Jesper J Linde
  • Andreas Fuchs
  • Michael H C Pham
  • Andreas K Jensen
  • Børge G Nordestgaard
  • Henning Kelbæk
  • Lars V Køber
  • Merete Heitmann
  • Gitte Fornitz
  • Jens D Hove
  • Klaus F Kofoed
  • CGPS, the CATCH, and the VERDICT Investigators
View graph of relations

AIMS: Quantitative computed tomography (QCT) allows assessment of morphological features of coronary atherosclerosis. We aimed to test the hypothesis that clinical patient presentation is associated with distinct morphological features of coronary atherosclerosis.

METHODS AND RESULTS: A total of 1652 participants, representing a spectrum of clinical risk profiles [787 asymptomatic individuals from the general population, 468 patients with acute chest pain without acute coronary syndrome (ACS), and 397 patients with acute chest pain and ACS], underwent multidetector computed tomography. Of these, 274 asymptomatic individuals, 254 patients with acute chest pain without ACS, and 327 patients with acute chest pain and ACS underwent QCT to assess coronary plaque volumes and proportions of dense calcium (DC), fibrous, fibro fatty (FF), and necrotic core (NC) tissue. Furthermore, the presence of vulnerable plaques, defined by plaque volume and tissue composition, was examined. Coronary plaque volume increased significantly with worsening clinical risk profile [geometric mean (95% confidence interval): 148 (129-166) mm3, 257 (224-295) mm3, and 407 (363-457) mm3, respectively, P < 0.001]. Plaque composition differed significantly across cohorts, P < 0.0001. The proportion of DC decreased, whereas FF and NC increased with worsening clinical risk profile (mean proportions DC: 33%, 23%, 23%; FF: 50%, 61%, 57%; and NC: 17%, 17%, 20%, respectively). Significant differences in plaque composition persisted after multivariable adjustment for age, gender, body surface area, hypertension, statin use at baseline, diabetes, smoking, family history of ischaemic heart disease, total plaque volume, and tube voltage, P < 0.01.

CONCLUSION: Coronary atherosclerotic plaque volume and composition are strongly associated to clinical presentation.

Original languageEnglish
JournalEuropean heart journal cardiovascular Imaging
Volume20
Issue number11
Pages (from-to)1221-1230
Number of pages10
ISSN1525-2167
DOIs
Publication statusPublished - 1 Nov 2019

    Research areas

  • atherosclerosis, cardiac computed tomography angiography, plaque composition, plaque quantification, plaque volume, quantitative computed tomography

ID: 58247918