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Non-alcoholic fatty liver disease is a strong predictor of coronary artery calcification in metabolically healthy subjects : A cross-sectional, population-based study in middle-aged subjects

Gummesson, Anders ; Strömberg, Ulf ; Schmidt, Caroline ; Kullberg, Joel ; Angerås, Oskar ; Lindgren, Stefan LU ; Hjelmgren, Ola ; Torén, Kjell ; Rosengren, Annika and Fagerberg, Björn , et al. (2018) In PLoS ONE 13(8).
Abstract

Objectives This study aims to estimate the relationship between non-alcoholic fatty liver disease (NAFLD) and measures of atherosclerotic cardiovascular disease (ASCVD), and to determine to what extent such relationships are modified by metabolic risk factors. Methods The study was conducted in the population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) pilot cohort (n = 1015, age 50–64 years, 51.2% women). NAFLD was defined as computed tomography liver attenuation 40 Hounsfield Units, excluding other causes of liver fat. Coronary artery calcification score (CACS) was assessed using the Agatston method. Carotid plaques and intima media thickness (IMT) were measured by ultrasound. Metabolic status was based on assessments of... (More)

Objectives This study aims to estimate the relationship between non-alcoholic fatty liver disease (NAFLD) and measures of atherosclerotic cardiovascular disease (ASCVD), and to determine to what extent such relationships are modified by metabolic risk factors. Methods The study was conducted in the population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) pilot cohort (n = 1015, age 50–64 years, 51.2% women). NAFLD was defined as computed tomography liver attenuation 40 Hounsfield Units, excluding other causes of liver fat. Coronary artery calcification score (CACS) was assessed using the Agatston method. Carotid plaques and intima media thickness (IMT) were measured by ultrasound. Metabolic status was based on assessments of glucose homeostasis, serum lipids, blood pressure and inflammation. A propensity score model was used to balance NAFLD and non NAFLD groups with regards to potential confounders and associations between NAFLD status and ASCVD variables in relation to metabolic status were examined by logistic and generalized linear regression models. Results NAFLD was present in 106 (10.4%) of the subjects and strongly associated with obesity-related traits. NAFLD was significantly associated with CACS after adjustment for confounders and metabolic risk factors (OR 1.77, 95% CI 1.07–2.94), but not with carotid plaques and IMT. The strongest association between NAFLD and CACS was observed in subjects with few metabolic risk factors (n = 612 [60% of all] subjects with 0–1 out of 7 predefined metabolic risk factors; OR 5.94, 95% CI 2.13–16.6). Conclusions NAFLD was independently associated with coronary artery calcification but not with measures of carotid atherosclerosis in this cohort. The association between NAFLD and CACS was most prominent in the metabolically healthy subjects.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
13
issue
8
article number
e0202666
publisher
Public Library of Science (PLoS)
external identifiers
  • scopus:85052067046
  • pmid:30133541
ISSN
1932-6203
DOI
10.1371/journal.pone.0202666
language
English
LU publication?
yes
id
70fb2139-3cf1-4e79-8207-bc6f7045343f
date added to LUP
2018-10-19 14:56:28
date last changed
2024-04-15 15:40:43
@article{70fb2139-3cf1-4e79-8207-bc6f7045343f,
  abstract     = {{<p>Objectives This study aims to estimate the relationship between non-alcoholic fatty liver disease (NAFLD) and measures of atherosclerotic cardiovascular disease (ASCVD), and to determine to what extent such relationships are modified by metabolic risk factors. Methods The study was conducted in the population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) pilot cohort (n = 1015, age 50–64 years, 51.2% women). NAFLD was defined as computed tomography liver attenuation 40 Hounsfield Units, excluding other causes of liver fat. Coronary artery calcification score (CACS) was assessed using the Agatston method. Carotid plaques and intima media thickness (IMT) were measured by ultrasound. Metabolic status was based on assessments of glucose homeostasis, serum lipids, blood pressure and inflammation. A propensity score model was used to balance NAFLD and non NAFLD groups with regards to potential confounders and associations between NAFLD status and ASCVD variables in relation to metabolic status were examined by logistic and generalized linear regression models. Results NAFLD was present in 106 (10.4%) of the subjects and strongly associated with obesity-related traits. NAFLD was significantly associated with CACS after adjustment for confounders and metabolic risk factors (OR 1.77, 95% CI 1.07–2.94), but not with carotid plaques and IMT. The strongest association between NAFLD and CACS was observed in subjects with few metabolic risk factors (n = 612 [60% of all] subjects with 0–1 out of 7 predefined metabolic risk factors; OR 5.94, 95% CI 2.13–16.6). Conclusions NAFLD was independently associated with coronary artery calcification but not with measures of carotid atherosclerosis in this cohort. The association between NAFLD and CACS was most prominent in the metabolically healthy subjects.</p>}},
  author       = {{Gummesson, Anders and Strömberg, Ulf and Schmidt, Caroline and Kullberg, Joel and Angerås, Oskar and Lindgren, Stefan and Hjelmgren, Ola and Torén, Kjell and Rosengren, Annika and Fagerberg, Björn and Brandberg, John and Bergström, Göran}},
  issn         = {{1932-6203}},
  language     = {{eng}},
  month        = {{08}},
  number       = {{8}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS ONE}},
  title        = {{Non-alcoholic fatty liver disease is a strong predictor of coronary artery calcification in metabolically healthy subjects : A cross-sectional, population-based study in middle-aged subjects}},
  url          = {{http://dx.doi.org/10.1371/journal.pone.0202666}},
  doi          = {{10.1371/journal.pone.0202666}},
  volume       = {{13}},
  year         = {{2018}},
}