{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T11:40:42Z","timestamp":1776080442637,"version":"3.50.1"},"reference-count":24,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T00:00:00Z","timestamp":1776038400000},"content-version":"vor","delay-in-days":102,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100004142","name":"Lishui University","doi-asserted-by":"publisher","award":["X111001"],"award-info":[{"award-number":["X111001"]}],"id":[{"id":"10.13039\/501100004142","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Diabetes Research"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Diabetic kidney disease, a severe diabetes microvascular complication affecting 30%~40% of diabetic patients, raises end\u2010stage renal disease and mortality risks. This study is aimed at developing and validate a novel index combining obesity measures and metabolic parameters to screen renal impairment in newly diagnosed T2DM patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A total of 387 and 259 newly diagnosed T2DM patients were recruited for model development and validation, respectively. Renal impairment was defined as eGFR &lt;\u200960\u2009mL\/min\/1.73\u2009m\n                      <jats:sup>2<\/jats:sup>\n                      and\/or urinary albumin\u2010to\u2010creatinine ratio (UACR)\u2009\u2265 30\u2009mg\/g. Obesity\u2010 or metabolism\u2010related indicators were collected. Significantly independent indicators were selected via bidirectional stepwise regression in the modeling patients to develop a comprehensive index termed InMOI. In the validation patients, restricted cubic spline analysis examined the dose\u2010response relationship between InMOI and renal impairment, whereas ROC curves assessed the screening performance.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The triglyceride\u2010glucose index (TyG) combined with various obesity measures showed significant associations with renal impairment. The InMOI, derived from TyG\u2010BMI and TyG\u2010waist to hip ratio (TyG\u2010WHR), demonstrated a linear dose\u2010response relationship with the odds ratio for renal impairment. InMOI achieved an AUC of 0.78 for identifying renal impairment. Optimizing the index by replacing WHR with the visceral\u2010to\u2010subcutaneous fat area ratio measured by DEXA, the modified InMOI (m\u2010InMOI) showed a better performance (AUC = 0.81).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study underscores the value of metabolism\u2010obesity indices in early detection of diabetic renal damage and highlights the pathogenic role of visceral obesity and metabolic dysregulation in diabetic kidney disease. The InMOI provides a practical tool for large\u2010scale screening and early prevention of diabetic kidney disease.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/jdr\/5164386","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T10:40:42Z","timestamp":1776076842000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and Validation of an Integrated Metabolism\u2010Obesity Index for Screening Renal Impairment in Patients With Newly Diagnosed Type 2 Diabetes 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