{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T05:15:36Z","timestamp":1771737336958,"version":"3.50.1"},"reference-count":0,"publisher":"S. Karger AG","issue":"4","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Kidney Blood Press Res"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>&lt;b&gt;&lt;i&gt;Background\/Aims: &lt;\/i&gt;&lt;\/b&gt;Serum cortisol level is elevated in patients with essential hypertension. We aimed at investigating the association of serum cortisol levels with parameters of renal function in essential hypertension. &lt;b&gt;&lt;i&gt;Methods: &lt;\/i&gt;&lt;\/b&gt;One hundred and seventy-eight patients with essential hypertension participated in the study. Fasting serum samples were collected at 8:00 am. Renal function was measured as estimated glomerular filtration rate (eGFR) calculated by the Chronic Kidney Disease Epidemiology Collaboration creatinine- cystatin C equation (eGFRcr-cys). Correlation analysis and stepwise regression analysis were used to detect the relationship between cortisol and eGFRcr-cys. The distributions of serum cortisol were split by the tertiles and subjects were stratified into those with low, median and high levels accordingly. &lt;b&gt;&lt;i&gt;Results: &lt;\/i&gt;&lt;\/b&gt;Serum cortisol levels were significantly higher in subjects whose eGFRcr-cys&lt;90 ml\/min\/1.73 m&lt;sup&gt;2&lt;\/sup&gt; than subjects whose eGFRcr-cys&gt;90 ml\/min\/1.73 m&lt;sup&gt;2&lt;\/sup&gt; (394.0\u00b193.4 vs. 343.2\u00b198.4 nmol\/L, P=0.001). Age, systolic blood pressure, and serum total cholesterol, uric acid, cortisol levels were significantly associated with eGFRcr-cys, serum levels of creatinine and cystatin C. After adjusting for clinical factors, serum cortisol level had a statistically significant negative association with the eGFRcr-cys (\u03b2=-0.19, &lt;i&gt;P&lt;\/i&gt;=0.027), and positive associations with cystatin C (\u03b2=0.31, &lt;i&gt;P&lt;\/i&gt;=0.001) and creatinine (\u03b2=0.14, &lt;i&gt;P&lt;\/i&gt;=0.044). With the increment of cortisol tertile, the eGFRcr-cys significantly decreased (93.18\u00b114.36 vs. 84.61\u00b114.67 vs. 81.29\u00b112.36 ml\/min\/1.73 m&lt;sup&gt;2&lt;\/sup&gt; for low, median and high tertile, respecively, P=0.001). &lt;b&gt;&lt;i&gt;Conclusion: &lt;\/i&gt;&lt;\/b&gt;Serum cortisol level was negatively correlated with eGFRcr-cys in subjects with essential hypertension. Further studies are needed to investigate whether cortisol plays a role in hypertensive nephropathy development.<\/jats:p>","DOI":"10.1159\/000443435","type":"journal-article","created":{"date-parts":[[2016,6,24]],"date-time":"2016-06-24T21:01:24Z","timestamp":1466802084000},"page":"384-391","source":"Crossref","is-referenced-by-count":31,"title":["Association Between Serum Cortisol and Chronic Kidney Disease in Patients with Essential Hypertension"],"prefix":"10.1159","volume":"41","author":[{"given":"Xiujuan","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojiao","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinbo","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richa","family":"Goswami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shumin","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aipin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qifu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyun","family":"Bi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"127","published-online":{"date-parts":[[2016,6,27]]},"container-title":["Kidney and Blood Pressure Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/443435","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/443435","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/443435","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T17:37:49Z","timestamp":1745429869000},"score":1,"resource":{"primary":{"URL":"https:\/\/karger.com\/article\/doi\/10.1159\/000443435"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2016,7,29]]}},"URL":"https:\/\/doi.org\/10.1159\/000443435","archive":["Portico"],"relation":{},"ISSN":["1420-4096","1423-0143"],"issn-type":[{"value":"1420-4096","type":"print"},{"value":"1423-0143","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}