{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T15:20:30Z","timestamp":1783524030234,"version":"3.55.0"},"reference-count":38,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T00:00:00Z","timestamp":1656547200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To investigate the associations between prediabetes defined by different diagnostic criteria and coronary artery calcification (CAC) and its progression over time.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>This cross\u2010sectional study included 146\u2009436 Korean adults without diabetes who underwent CAC estimation computed tomography (CT) during health examinations from 2011 to 2019. We used multinomial logistic regression models. The longitudinal study comprised 41\u2009100 participants with at least one follow\u2010up cardiac CT and annual CAC progression rates and ratios were estimated. Prediabetes was categorized into three groups: isolated glucose prediabetes (fasting blood glucose [FBG] 100\u2010125\u2009mg\/dl, HbA1c\u2009&lt;\u20095.7%), isolated HbA1c prediabetes (FBG\u2009&lt;\u2009100\u2009mg\/dl, HbA1c 5.7%\u20106.4%) and prediabetes meeting both FBG and HbA1c criteria (FBG 100\u2010125\u2009mg\/dl, HbA1c 5.7%\u20106.4%).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>After adjusting for covariates, the prevalence ratios (95% CI) for CAC scores of\u2009more than\u2009100 comparing isolated glucose prediabetes, isolated HbA1c prediabetes and prediabetes fulfilling both criteria with those of normoglycaemia were 1.12 (0.99\u20101.26), 1.24 (1.11\u20101.39) and 1.31 (1.18\u20101.45), respectively. The multivariable\u2010adjusted ratio (CIs) of annual CAC progression rates comparing the corresponding groups with the normoglycaemia group were 1.031 (1.023\u20101.039), 1.025 (1.019\u20101.032) and 1.054 (1.047\u20101.062), respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>CAC risk and CAC progression were consistently highest in individuals meeting both glucose and HbA1c criteria, while all three prediabetes types showed a significantly increased risk of CAC progression. Atherosclerosis risk reduction management is necessary for prediabetes, especially in patients meeting both criteria.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.14797","type":"journal-article","created":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T05:12:56Z","timestamp":1655097176000},"page":"2118-2126","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Prediabetes diagnosis is associated with the progression of coronary artery calcification: The Kangbuk Samsung Health Study"],"prefix":"10.1111","volume":"24","author":[{"given":"In Young","family":"Choi","sequence":"first","affiliation":[{"name":"Total Healthcare Center Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6945-9050","authenticated-orcid":false,"given":"Yoosoo","family":"Chang","sequence":"additional","affiliation":[{"name":"Center for Cohort Studies Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine  Seoul Republic of Korea"},{"name":"Department of Occupational and Environmental Medicine Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine  Seoul Republic of Korea"},{"name":"Department of Clinical Research Design &amp; Evaluation Samsung Advanced Institute for Health Sciences &amp; Technology, Sungkyunkwan University  Seoul Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoosun","family":"Cho","sequence":"additional","affiliation":[{"name":"Total Healthcare Center Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine  Seoul Republic of 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