{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T02:42:38Z","timestamp":1772160158672,"version":"3.50.1"},"reference-count":41,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims\/Introduction<\/jats:title>\n                    <jats:p>While studies on kidney disease (KD) in patients with severe metabolic syndrome (MetS) have been reported, research on undiagnosed MetS individuals is limited. This study aimed to investigate KD mechanisms in early MetS stages among Japanese individuals to establish accurate KD prediction models applicable to specific health guidance using annual health check\u2010up (HC) data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>\n                      Cox regression analysis was conducted using the Kokuho Database including HC and claims data over the past 10\u2009years. Survival time was defined as the period from the initial HC during the observation period until estimated glomerular filtration rate (eGFR) fell below the following cut\u2010offs: 60\u2009mL\/min\/1.73\u2009m\n                      <jats:sup>2<\/jats:sup>\n                      chronic kindney disease (CKD) and 15\u2009mL\/min\/1.73\u2009m\n                      <jats:sup>2<\/jats:sup>\n                      (ESKD) for primary scenarios, 45\u2009mL\/min\/1.73\u2009m\n                      <jats:sup>2<\/jats:sup>\n                      (CKD Stage 3b) and 30\u2009mL\/min\/1.73\u2009m\n                      <jats:sup>2<\/jats:sup>\n                      (CKD Stage 4) for additional scenarios. Predictive factors included age, sex and serum creatinine, which are components of eGFR, and MetS factors as follows: body mass index (BMI), glycated haemoglobin A1c (HbA1c), triglycerides (TG) and systolic blood pressure (SBP).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Significant increases in hazard ratios (HRs) for BMI, HbA1c, TG and SBP were observed for primary and additional cut\u2010offs. BMI, HbA1c and TG showed progressively stronger HR increases with advancing stages. The model for all scenarios demonstrated goodness of fit with the high C\u2010statistics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study highlights the necessity of a comprehensive evaluation of MetS factors in CKD risk assessment and shows the model using annual HC data can identify CKD progression effectively and accurately. A risk assessment approach considering multiple CKD stages will be crucial for early intervention and disease prevention strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.16390","type":"journal-article","created":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T02:56:36Z","timestamp":1744685796000},"page":"3686-3694","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Chronic kidney disease risk assessment: Findings from backward\u2010looking study using annual health check\u2010up data in Japan"],"prefix":"10.1111","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3730-6619","authenticated-orcid":false,"given":"Chihaya","family":"Fukai","sequence":"first","affiliation":[{"name":"EY Strategy and Consulting Co., Ltd  Tokyo Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5335-4576","authenticated-orcid":false,"given":"Shumpei","family":"Chiba","sequence":"additional","affiliation":[{"name":"EY Strategy and Consulting Co., Ltd  Tokyo Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7937-925X","authenticated-orcid":false,"given":"Takaaki","family":"Itoga","sequence":"additional","affiliation":[{"name":"EY Strategy and Consulting Co., Ltd  Tokyo Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7511-9987","authenticated-orcid":false,"given":"Gen","family":"Kobayashi","sequence":"additional","affiliation":[{"name":"EY Strategy and Consulting Co., Ltd  Tokyo Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1574-0565","authenticated-orcid":false,"given":"Kohei","family":"Kaku","sequence":"additional","affiliation":[{"name":"Kawasaki Medical School  Okayama Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,4,14]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0216432"},{"key":"e_1_2_10_3_1","first-page":"3","article-title":"Epidemiology, impact and preventive care of chronic kidney disease in Taiwan","volume":"15","author":"Hwang SJ","year":"2010","journal-title":"Nephrol Dial Transplant"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.34067\/KID.0000000000000413"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10157-007-0463-x"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1210\/clinem\/dgad643"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/nu14071334"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s001250100615"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.3346\/jkms.2019.34.e48"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/eci.13646"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010022\u201008284\u2010z"},{"issue":"67","key":"e_1_2_10_12_1","first-page":"1","article-title":"(2024). 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