{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T01:40:00Z","timestamp":1792892400041,"version":"4.5.0"},"reference-count":75,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2024,3,16]],"date-time":"2024-03-16T00:00:00Z","timestamp":1710547200000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004332","name":"Seoul National University Hospital","doi-asserted-by":"publisher","award":["0620234330"],"award-info":[{"award-number":["0620234330"]}],"id":[{"id":"10.13039\/501100004332","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,4,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Kidney volume is used as a predictive and therapeutic marker for several clinical conditions. However, there is a lack of large-scale studies examining the relationship between kidney volume and various clinicodemographic factors, including kidney function, body composition and physical performance.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>In this observational study, MRI-derived kidney volume measurements from 38\u00a0526 UK Biobank participants were analysed. Major kidney volume\u2013related measures included body surface area (BSA)-adjusted total kidney volume (TKV) and the difference in bilateral kidneys. Multivariable-adjusted linear regression and cubic spline analyses were used to explore the association between kidney volume\u2013related measures and clinicodemographic factors. Cox or logistic regression was used to identify the risks of death, non-kidney cancer, myocardial infarction, ischaemic stroke and chronic kidney disease (CKD).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The median of BSA-adjusted TKV and the difference in kidney volume were 141.9\u00a0ml\/m2 [interquartile range (IQR) 128.1\u2013156.9] and 1.08-fold (IQR 1.04\u20131.15), respectively. Higher BSA-adjusted TKV was significantly associated with higher estimated glomerular filtration rate {eGFR; \u03b2\u00a0=\u00a00.43 [95% confidence interval (CI) 0.42\u20130.44]; P\u00a0&amp;lt;\u00a0.001}, greater muscle volume [\u03b2\u00a0=\u00a00.50 (95% CI 0.48\u20130.51); P\u00a0&amp;lt;\u00a0.001] and greater mean handgrip strength [\u03b2\u00a0=\u00a00.15 (95% CI 0.13\u20130.16); P\u00a0&amp;lt;\u00a0.001] but lower visceral adipose tissue volume [VAT; \u03b2\u00a0=\u00a0\u22120.09 (95% CI \u22120.11 to \u22120.07); P\u00a0&amp;lt;\u00a0.001] in adjusted models. A greater difference in bilateral kidney volumes was associated with lower eGFR, muscle volume and physical performance but with higher proteinuria and VAT. Higher BSA-adjusted TKV was significantly associated with a reduced risk of CKD [odds ratio (OR) 0.7 (95% CI 0.63\u20130.77); P\u00a0&amp;lt;\u00a0.001], while a greater difference in kidney volume was significantly associated with an increased risk of CKD [OR 1.13 (95% CI 1.07\u20131.20); P\u00a0&amp;lt;\u00a0.001].<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Higher BSA-adjusted TKV and lower differences in bilateral kidney volumes are associated with higher kidney function, muscle volume and physical performance and a reduced risk of CKD.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ckj\/sfae068","type":"journal-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T07:51:44Z","timestamp":1710402704000},"source":"Crossref","is-referenced-by-count":11,"title":["Associations of MRI-derived kidney volume, kidney function, body composition and physical performance in \u224838\u00a0000 UK Biobank participants: a population-based observational study"],"prefix":"10.1093","volume":"17","author":[{"given":"Jeong Min","family":"Cho","sequence":"first","affiliation":[{"name":"Department of Translational Medicine, Seoul National University College of Medicine , Seoul , Korea"},{"name":"Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital , Gyeonggi-do , Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jung Hun","family":"Koh","sequence":"additional","affiliation":[{"name":"Department of Translational Medicine, Seoul National University College of Medicine , Seoul , Korea"},{"name":"Department of Internal Medicine, Seoul National University Hospital , Seoul , Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seong Geun","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Inje University Sanggye Paik Hospital , Seoul , Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soojin","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Uijeongbu Eulji University Medical Center , Uijeongbu , Korea"},{"name":"Department of Internal Medicine, Seoul National University College of Medicine , Seoul , Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1596-1528","authenticated-orcid":false,"given":"Yaerim","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Keimyung University School of Medicine , Daegu , Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6060-9032","authenticated-orcid":false,"given":"Semin","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital , Gyeonggi-do , 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