{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T05:19:09Z","timestamp":1787548749898,"version":"build-2736575974"},"reference-count":46,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"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. Endocrinol."],"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>In order to identify the factors related to osteoporosis in patients with type 2 diabetes, it is necessary to establish a visual risk classification model to evaluate the current risk and verify its effectiveness.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective observational study included 2,265 patients with type 2 diabetes who were admitted to the First People\u2019s Hospital of Neijiang City between January 2021 and December 2025. All these patients underwent dual-energy X-ray absorptiometry (DXA) examinations during the same admission or physical examination visit. They were divided into the training group and the validation group in a ratio of 7:3. A predictive model was established using multivariate Logistic regression analysis and the Least Absolute Shrinkage and Selection Operator (Lasso) regression. A nomogram for clinical application was also established and its discrimination ability, calibration, and clinical practicability were verified.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Multivariate Logistic regression analysis revealed that age, gender, BMI, Triglyceride, Monocyte count, TyG and AISI were independent risk factors for osteoporosis in patients with type 2 diabetes. The nomogram model showed a reliable predictive effect, with an area under the curve (AUC) of 0.847 (95% CI, 0.821\u20130.874) in the training cohort and 0.833 (95% CI, 0.791\u20130.875) in the validation cohort. Decision curve analysis (DCA) confirmed that the nomogram model had strong clinical practical value.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The risk factor assessment chart for osteoporosis in patients with type 2 diabetes established in this study has good discriminative ability and provides an objective tool for clinical personnel to conduct early assessment.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fendo.2026.1872909","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T04:24:44Z","timestamp":1787545484000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and validation of a nomogram incorporating triglyceride-glucose index and aggregate index of systemic inflammation for assessing osteoporosis risk in type 2 diabetes mellitus: a dual-center retrospective study"],"prefix":"10.3389","volume":"17","author":[{"given":"Yuan","family":"Luo","sequence":"first","affiliation":[{"name":"Rehabilitation Medicine Department, The First People\u2019s Hospital of Neijiang","place":["Sichuan, China"]},{"name":"Southwest Medical University","place":["Luzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongyan","family":"Wei","sequence":"additional","affiliation":[{"name":"Health Management Center of Southwest Medical University Affiliated Hospital","place":["Luzhou, Sichuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Chen","sequence":"additional","affiliation":[{"name":"Rehabilitation Medicine Department, The First People\u2019s Hospital of Neijiang","place":["Sichuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongbao","family":"Tang","sequence":"additional","affiliation":[{"name":"Shuangcai Central Health Center, Dongxing District","place":["Neijiang, Sichuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Rehabilitation Medicine Department, The First People\u2019s Hospital of Neijiang","place":["Sichuan, China"]},{"name":"Southwest Medical University","place":["Luzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,24]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.2147\/JIR.S575474","article-title":"Clinical manifestations and risk factors of osteoporosis in patients with type 2 diabetes mellitus","volume":"19","author":"Wang","year":"2026","journal-title":"J Inflammation Res"},{"key":"B2","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1186\/s13293-026-00830-y","article-title":"Sex-specific associations between carotid plaque and bone mineral density in patients with type 2 diabetes: a retrospective 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