{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T14:01:10Z","timestamp":1792677670414,"version":"4.5.0"},"reference-count":49,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T00:00:00Z","timestamp":1776902400000},"content-version":"vor","delay-in-days":22,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Diabetes"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Cardio\u2010renal\u2010metabolic (CRM) multimorbidity, defined by the co\u2010occurrence of cardiovascular disease (CVD), chronic kidney disease (CKD), and type 2 diabetes (T2DM), poses a growing burden for multimorbidity management. The atherogenic index of plasma (AIP), a lipid\u2010based marker of insulin resistance, may help predict CRM progression, but its prognostic value remains unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We used data from 5805 adults free of CRM at baseline in the China Health and Retirement Longitudinal Study. AIP was calculated as log\n                      <jats:sub>10<\/jats:sub>\n                      [triglyceride (TG)\/high\u2010density lipoprotein cholesterol (HDL\u2010C)]. CRM onset was defined as incident CVD, T2DM, or CKD. Multistate models captured transitions from no disease to single, dual, and triple CRM states. Cox regression and time\u2010dependent receiver operating characteristic (ROC) curves were used to assess associations and predictive performance.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>AIP showed a clear dose\u2013response relationship with CRM progression. Each 1\u2010standard deviation (SD) increase in AIP was associated with higher risks of single (HR 1.17, 95% CI 1.13\u20131.22), dual (HR 1.31, 95% CI 1.21\u20131.41), and triple CRM (HR 1.57, 95% CI 1.27\u20131.94) diseases. Strong associations were observed for new\u2010onset T2DM and stroke, but not CKD. AIP yielded the highest discrimination for triple CRM (5\u2010year area under the curve [AUC]\u2009=\u20090.710). Multistate modeling showed each 1\u2010SD increase in AIP raised the hazard of transitioning from single to dual CRM by 14% and from dual to triple by 31%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>AIP is an independent, simple, and low\u2010cost predictor of CRM onset and progression, with potential utility for early risk stratification and prevention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/1753-0407.70227","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T13:56:02Z","timestamp":1776952562000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Atherogenic Index of Plasma Predicts the Onset and Progression of Cardio\u2010Renal\u2010Metabolic Multimorbidity: Evidence From a Nationwide Prospective Cohort Study"],"prefix":"10.1111","volume":"18","author":[{"given":"Jijie","family":"Jin","sequence":"first","affiliation":[{"name":"The Center of Gerontology and Geriatrics National Clinical Research Center for Geriatrics West China Hospital, Sichuan University  Chengdu China"},{"name":"College of Nursing Wenzhou Medical University  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Nursing Wenzhou Medical University  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengzhang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Nursing Wenzhou Medical University  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxin","family":"Shao","sequence":"additional","affiliation":[{"name":"College of Nursing Wenzhou Medical University  Wenzhou 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