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They can be assessed in vivo using 4D-flow-MRI; however, most studies involve clinical patient samples. We aimed to investigate demographic and cardiovascular (CV)-RF associations with LA and LAA hemodynamics in an observational study sample.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and methods<\/jats:title>\n                    <jats:p>Participants from the multi-ethnic study of atherosclerosis from our institution were approached to undergo cardiac MRI, including 4D-flow-MRI. LA and LAA volume, blood stasis (%voxel with velocity\u2009&lt;\u20090.1\u2009m\/s), and peak velocity (PV, top 5% of voxels) were calculated. CV-RF (demographics, history of atrial fibrillation (AF), body mass index (BMI), etc.) were available through study records and investigated in multivariable linear regression models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      One hundred fifty-eight participants were included (age: 72.8\u2009\u00b1\u20097.3 years, 53% female). Higher age and AF were associated with lower PV\n                      <jats:sub>LA<\/jats:sub>\n                      (\u03b2\n                      <jats:sub>age<\/jats:sub>\n                      : \u22120.16,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01; \u03b2\n                      <jats:sub>AF<\/jats:sub>\n                      : \u22122.81,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05) and higher LA stasis (\u03b2\n                      <jats:sub>age<\/jats:sub>\n                      : 0.64,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001; \u03b2\n                      <jats:sub>AF<\/jats:sub>\n                      : 5.60,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05). On the other hand, diabetes and left ventricular ejection fraction were associated with higher PV\n                      <jats:sub>LA<\/jats:sub>\n                      (\u03b2\n                      <jats:sub>diabetes<\/jats:sub>\n                      : 3.29,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01; \u03b2\n                      <jats:sub>LVEF<\/jats:sub>\n                      : 0.11,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05), and diabetes was also associated with lower LA stasis (\u03b2: \u22126.12,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05). PV\n                      <jats:sub>LAA<\/jats:sub>\n                      was lower in Black participants (\u03b2: \u22122.64,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01) and AF (\u03b2: \u22124.33,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). LAA stasis was lower in males (\u03b2: \u22125.36,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01), white participants (\u03b2: \u22123.69,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05), diabetes (\u03b2: \u22124.54,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01) and higher BMI (\u03b2: \u22120.42,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05) while higher LA volume (\u03b2: 0.12,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01) was associated with higher LAA stasis.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We identified RF associated with impaired LA and LAA hemodynamics in an observational study cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Question<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Are there associations of demographic and CV factors with impaired atrial hemodynamics from 4D-flow cardiac MRI<\/jats:italic>\n                      ?\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Findings<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>4D-flow MRI identified, amongst others, higher age, race, history of AF, and BMI in a sub-cohort of the Multi-Ethnic Study of Atherosclerosis<\/jats:italic>\n                      .\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Clinical relevance<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Understanding risk factor associations with atrial hemodynamics could aid in identifying subclinical atrial thrombus formation risks, potentially allowing for earlier preventive strategies against diseases such as stroke in diverse populations<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical Abstract<\/jats:title>\n                  <\/jats:sec>","DOI":"10.1007\/s00330-025-11866-w","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:14:07Z","timestamp":1761848047000},"page":"3079-3090","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Demographic and cardiovascular risk factors associated 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J Magn Reson Imaging\u201d and \u201cPradella M et al (2024) Associations between 3D-based left atrial volumetric and blood flow parameters in a single-site cohort of the multi-ethnic study of atherosclerosis. Radiol Cardiothorac Imaging\u201d.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}