{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T17:16:32Z","timestamp":1789665392424,"version":"4.0.1"},"reference-count":45,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T00:00:00Z","timestamp":1763683200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Fifth National Training Program for Outstanding Clinical Talents in Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine"},{"name":"Capital\u2019s Funds for Health Improvement and Research from the Beijing Municipal Health Commission","award":["2024-1-4151"],"award-info":[{"award-number":["2024-1-4151"]}]},{"name":"Beijing Pharmaceutical and Healthcare Collaborative Project for High-Quality Traditional Chinese Medicine Research and Development"},{"name":"High Level Chinese Medical Hospital Promotion Project","award":["HLCMHPP2024045"],"award-info":[{"award-number":["HLCMHPP2024045"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study aimed to investigate the association of glycemic variability (GV) and the systemic immune-inflammation index (SII) with atrial fibrillation (AF) in patients with type 2 diabetes mellitus (T2DM).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this retrospective study of 1436 T2DM patients, we used multivariable logistic regression and restricted cubic splines (RCS) in the derivation cohort to assess the associations of GV and SII with AF. Robustness was tested via sensitivity and subgroup analyses, while the combined model\u2019s discriminative performance was evaluated using receiver operating characteristic curves, interaction analysis, integrated discrimination improvement (IDI), and net reclassification improvement (NRI). The model subsequently underwent external validation in the validation cohort, where its calibration and discrimination were assessed. Finally, decision curve analysis (DCA) was employed to determine its clinical utility.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In the derivation cohort, multivariable logistic regression confirmed GV (OR: 2.13, 95% CI: 1.57\u20132.93; P\u2009&amp;lt;\u20090.01) and SII (OR: 1.81, 95% CI: 1.25\u20132.62; P\u2009&amp;lt;\u20090.01) as independent risk factors for AF, with RCS analyses revealing significant nonlinear relationships. The robustness of these associations was supported by consistent results in subgroup and sensitivity analyses. The combined GV-SII model demonstrated significantly discriminatory power than either marker alone (AUC, GV: 0.709; SII: 0.753; combined: 0.812), reflected by marked improvements in both the NRI and integrated discrimination improvement. DCA further affirmed the clinical utility of the combined model. All key findings were successfully replicated in an external validation cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Both GV and SII demonstrate significant discriminative value for the occurrence of AF in T2DM patients, and their combination yields superior diagnostic performance, enabling the identification of high-risk individuals.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/qjmed\/hcaf286","type":"journal-article","created":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T00:01:03Z","timestamp":1763769663000},"page":"304-313","source":"Crossref","is-referenced-by-count":3,"title":["Glycemic variability and systemic immune-inflammation index: a synergistic predictive model for atrial fibrillation in type 2 diabetes"],"prefix":"10.1093","volume":"119","author":[{"given":"Jing","family":"Zeng","sequence":"first","affiliation":[{"name":"Department of Cardiology, Guang\u2019anmen Hospital, China Academy of Chinese Medical Sciences , Beijing,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenhao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Respiratory, The Fourth Affiliated Hospital of Hebei University of Chinese Medicine , Hebei,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxuan","family":"Tao","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Guang\u2019anmen Hospital, China Academy of Chinese Medical Sciences , Beijing,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Cheng","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Linquan County People\u2019s Hospital, Fuyang , Anhui,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Oncology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University , Beijing,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6942-0455","authenticated-orcid":false,"given":"Zican","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Renmin Hospital of Wuhan University , Wuhan, Hubei,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haixia","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Guang\u2019anmen Hospital, China Academy of Chinese Medical Sciences , Beijing,","place":["China"]},{"name":"The Second Clinical Medical College of Henan University of Chinese Medicine , Zhengzhuo, 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