{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T06:08:19Z","timestamp":1780985299989,"version":"3.54.1"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2017,11,2]],"date-time":"2017-11-02T00:00:00Z","timestamp":1509580800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Eur J Prev Cardiolog"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p> Obesity increases risk of hypertension and diabetes, the leading causes of end-stage renal disease. The effect of obesity on kidney function decline in stable post-myocardial infarction patients is poorly documented. This relation was investigated in a large cohort of older post-myocardial infarction patients. <\/jats:p><\/jats:sec><jats:sec><jats:title>Design<\/jats:title><jats:p> Data were analysed from 2410 post-myocardial infarction patients in the Alpha Omega Trial, aged 60\u201380 years receiving optimal pharmacotherapy treatment (79% men, 18% diabetes). <\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p> Cystatin C based estimated glomerular filtration rate (eGFR<jats:sub>cysC<\/jats:sub>) was calculated at baseline and after 41 months, using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Obesity was defined as body mass index\u2009\u2265\u200930\u2009kg\/m<jats:sup>2<\/jats:sup> and high waist circumference as \u2265102 and \u226588\u2009cm for men and women. The relation between body mass index, waist circumference and annual eGFR<jats:sub>cysC<\/jats:sub> decline was evaluated by linear regression. <\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p> At baseline, mean (standard deviation) eGFR<jats:sub>cysC<\/jats:sub> was 81.5 (19.6) ml\/min\/1.73 m<jats:sup>2<\/jats:sup>, 23% of all patients were obese. After multivariable adjustment, the annual mean (95% confidence interval) eGFR<jats:sub>cysC<\/jats:sub> decline in men and women was \u20131.45 (\u20131.59 to \u20131.31) and \u20130.92 (\u20131.20 to \u20130.63) ml\/min\/1.73 m<jats:sup>2<\/jats:sup>, respectively ( p\u2009=\u20090.001). Obese versus non-obese patients and patients with high versus normal waist circumference experienced greater annual eGFR<jats:sub>cysC<\/jats:sub> decline. Men and women showed an additional annual eGFR<jats:sub>cysC<\/jats:sub> decline of \u20130.35 (\u20130.56 to \u20130.14) and \u20130.21 (\u20130.55 to 0.14) ml\/min\/1.73 m<jats:sup>2<\/jats:sup> per 5\u2009kg\/m<jats:sup>2<\/jats:sup> body mass index increment ( p for interaction 0.3). <\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p> High compared to normal body mass index or waist circumference were associated with more rapid kidney function decline in older stable post-myocardial infarction patients receiving optimal drug therapy. <\/jats:p><\/jats:sec>","DOI":"10.1177\/2047487317739986","type":"journal-article","created":{"date-parts":[[2017,11,2]],"date-time":"2017-11-02T16:17:55Z","timestamp":1509639475000},"page":"90-99","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":15,"title":["Body-fat indicators and kidney function decline in older post-myocardial infarction patients: The Alpha Omega Cohort Study"],"prefix":"10.1093","volume":"25","author":[{"given":"Kevin","family":"Esmeijer","sequence":"first","affiliation":[{"name":"Department of Nephrology, Leiden University Medical Center, The Netherlands"},{"name":"Department of Clinical Epidemiology, Leiden University Medical Center, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johanna M","family":"Geleijnse","sequence":"additional","affiliation":[{"name":"Division of Human Nutrition, Wageningen University, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erik J","family":"Giltay","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Leiden University Medical Center, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Theo","family":"Stijnen","sequence":"additional","affiliation":[{"name":"Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Friedo W","family":"Dekker","sequence":"additional","affiliation":[{"name":"Department of Clinical Epidemiology, Leiden University Medical Center, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johan W","family":"de Fijter","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Leiden University Medical Center, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daan","family":"Kromhout","sequence":"additional","affiliation":[{"name":"Division of Human Nutrition, Wageningen University, The Netherlands"},{"name":"Department of Epidemiology, University Medical Center Groningen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ellen K","family":"Hoogeveen","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Leiden University Medical Center, The Netherlands"},{"name":"Department 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