{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T06:18:19Z","timestamp":1783491499013,"version":"3.55.0"},"reference-count":17,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Cardiovasc. Med."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Patients with cardiovascular-kidney-metabolic (CKM) syndrome have high mortality risk. The C-reactive protein\u2013triglyceride glucose index (CTI) integrates inflammation and insulin resistance, yet its stage-specific prognostic value is undefined.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>\n                      This retrospective cohort study included 8,632 CKM patients (2020\u20132025), stratified by CTI quartiles. All-cause mortality was assessed using adjusted Cox models. Among 860 deaths (10.0%), CTI was an independent mortality predictor in both stage 0\u20133 (HR 1.68, 95% CI 1.30\u20132.18) and stage 4 CKM (HR 1.54, 1.33\u20131.77). Compared with Q1, Q4 patients had significantly higher risk (stage 0\u20133: HR 4.57, 2.32\u20138.99; stage 4: HR 2.26, 1.64\u20133.13). A linear dose-response relationship was confirmed (\n                      <jats:italic>P<\/jats:italic>\n                      for nonlinear &amp;gt;0.05). CTI showed superior 1-year predictive performance over TyG index (AUC: stage 0\u20133, 0.73 vs. 0.62; stage 4, 0.69 vs. 0.51).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>CTI is a potent, independent predictor of all-cause mortality in CKM, with a linear dose-response relationship. By integrating inflammatory and metabolic pathways, it provides superior risk stratification over TyG index, highlighting its clinical utility.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fcvm.2026.1832873","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T05:54:44Z","timestamp":1783490084000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The association between C-reactive protein-triglyceride glucose index and all-cause mortality in patients with cardiovascular-kidney-metabolic syndrome: a single-center retrospective cohort study"],"prefix":"10.3389","volume":"13","author":[{"given":"Jiacai","family":"Lin","sequence":"first","affiliation":[{"name":"Department of Cardiology, The First Affiliated Hospital of Shantou University Medical College","place":["Shantou, Guangdong, China"]},{"name":"Shantou University Medical College","place":["Shantou, Guangdong, 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