{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T10:03:06Z","timestamp":1784887386697,"version":"3.55.0"},"reference-count":39,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T00:00:00Z","timestamp":1776729600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T00:00:00Z","timestamp":1776729600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82070237"],"award-info":[{"award-number":["82070237"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271609"],"award-info":[{"award-number":["82271609"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82170457"],"award-info":[{"award-number":["82170457"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371573"],"award-info":[{"award-number":["82371573"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The longitudinal relationship between frailty phenotype and CKD development, and the modifying role of genetic CKD risk in this association, remains unclear. Research on simple, noninvasive and quantifiable CKD prediction models incorporating frailty is limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We analysed 214\u2009502 CKD\u2010free participants from the UK Biobank cohort. Frailty was assessed using a modified phenotype with five components: weight loss, exhaustion, low grip strength, low physical activity and slow gait speed, to match UK Biobank data. Self\u2010reported walking pace and weight change served as proxies where objective measures were unavailable. A polygenic risk score for CKD was calculated based on 258 single nucleotide polymorphisms. Cox proportional hazards models were used to assess the association between the frailty phenotype and new\u2010onset CKD. The interaction between frailty and genetic risk on CKD outcomes was also examined. A noninvasive CKD prediction model, integrating frailty, age, gender, diabetes, hypertension, BMI and smoking status, was developed and validated internally using the UK Biobank and externally using CHARLS cohorts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among the 214\u2009502 CKD\u2010free participants with a median age of 57 (49\u201362) years, 50.3% were female. A total of 109\u2009290 individuals (51.0%) were classified as non\u2010frail, 96\u2009941 (45.2%) as pre\u2010frail and 8271 (3.9%) as frail. Over the course of a median follow\u2010up period of 12.9\u2009years, we documented 8079 (3.8%) cases of CKD. Compared with non\u2010frailty, the hazard ratio (HR) for new\u2010onset CKD in prefrailty and frailty was 1.143 (95% CI, 1.090\u20131.199,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and 1.606 (95% CI, 1.474\u20131.749,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) in the multivariate model, respectively. Each one\u2010point increase in frailty score was associated with a higher risk of CKD (HR\u2009=\u20091.142; 95% CI, 1.116\u20131.170,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) in the multivariable model. Participants with frailty and high genetic risk had the greatest risk of CKD (HR\u2009=\u20091.981; 95% CI, 1.733\u20132.266,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) compared with those without frailty and low genetic risk. In the simple CKD prediction model incorporating frailty, it demonstrated an AUC of 0.734 at 5\u2009years, 0.745 at 8\u2009years and 0.749 at 10\u2009years in internal testing. External validation also showed consistent discrimination and calibration with an AUC of 0.740.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Pre\u2010frail and frail phenotypes were associated with a higher risk of developing CKD, showing a dose\u2013response relationship. A noninvasive prediction model incorporating frailty and clinical parameters exhibited stable discriminative performance over a decade in both European and Asian cohorts.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcsm.70287","type":"journal-article","created":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T23:24:37Z","timestamp":1776813877000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Longitudinal Study of Frailty Phenotype in Relation to Chronic Kidney Disease Incidence"],"prefix":"10.1002","volume":"17","author":[{"given":"Yong\u2010Xiang","family":"Ruan","sequence":"first","affiliation":[{"name":"Department of Cardiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangzhou Key Laboratory of Molecular Mechanisms of Major Cardiovascular Disease Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou 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Geriatric Medicine Chinese Academy of Medical Sciences  Beijing China"},{"name":"Graduate School Chinese Academy of Medical Sciences and Peking Union Medical College  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen\u2010Hao","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Cardiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangzhou Key Laboratory of Molecular Mechanisms of Major Cardiovascular Disease Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia\u2010Man","family":"Ou","sequence":"additional","affiliation":[{"name":"Department of Cardiology Yangjiang Hospital of Guangdong Medical University  Yangjiang Guangdong People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Cardiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangzhou Key Laboratory of Molecular Mechanisms of Major Cardiovascular Disease Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing\u2010Wei","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Cardiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangzhou Key Laboratory of Molecular Mechanisms of Major Cardiovascular Disease Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang\u2010Wei","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Cardiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangzhou Key Laboratory of Molecular Mechanisms of Major Cardiovascular Disease Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mao\u2010Xiong","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Cardiology Sun Yat\u2010sen Memorial 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University  Guangzhou China"},{"name":"Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5827-7876","authenticated-orcid":false,"given":"Jing\u2010Feng","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Cardiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangzhou Key Laboratory of Molecular Mechanisms of Major Cardiovascular Disease Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou China"},{"name":"Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology Sun Yat\u2010sen Memorial Hospital of Sun Yat\u2010sen University  Guangzhou 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of Prediction Models for Nephropathy in People With Type 2 Diabetes: Systematic Review and External Validation Study","volume":"374","author":"Slieker R. 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