{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T05:13:56Z","timestamp":1779340436089,"version":"3.51.4"},"reference-count":0,"publisher":"S. Karger AG","issue":"4","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nephron"],"published-print":{"date-parts":[[2019]]},"abstract":"<b><i>Background:<\/i><\/b> Delayed graft function (DGF) could worsen early and long-term outcomes of kidney transplantation (KT). DGF is caused by several pre-transplantation and perioperative factors in both donors and recipients. At present, there are no biomarkers or tests during the immediate post-KT period that can accurately predict the development of DGF. <b><i>Materials and methods:<\/i><\/b> This prospective study was conducted in deceased donor KT (DDKT) at King Chulalongkorn Memorial Hospital, Thailand. All recipients underwent furosemide stress test (FST) by receiving a single dose of intravenous furosemide, 1.5 mg\/kg at 3 h after allograft reperfusion. We determined the correlations between DGF (requiring dialysis within the first week after transplantation) and the values of urine volume recorded hourly after FST until 6 h, the parameters of postoperative dynamic tests, including resistive index (RI) of renal arteries and effective renal plasma flow (ERPF), and urine neutrophil gelatinase-associated lipocalin (NGAL). <b><i>Results:<\/i><\/b> Of the 59 total DDKT recipients enrolled, 24 developed DGF. The FST is a more accurate biomarker than urine NGAL, RI of renal arteries, and ERPF in the prediction of DGF. The 4-h urine volume less than 350 mL (FST non-responsive) was the best cut-off value in predicting DGF with 87.5% sensitivity, 82.9% specificity, and 82.5% accuracy. Multiple logistic regression analyses showed an odds ratio of 0.993 (0.986\u20130.999, <i>p<\/i> = 0.035) for the 4-h urine volume to predict DGF. <b><i>Conclusions:<\/i><\/b> The FST is a simple and accurate biomarker for predicting DGF in early post-KT period. Close monitoring and well prepared dialysis are suggested in patients with urine volume &#x3c; 350 mL after 4 h of FST. The FST non-responsive patients could be the target for further DGF preventive intervention. ClinicalTrials.gov identifier: NCT03071536.<\/jats:p>","DOI":"10.1159\/000495765","type":"journal-article","created":{"date-parts":[[2019,1,16]],"date-time":"2019-01-16T22:01:26Z","timestamp":1547676086000},"page":"236-248","source":"Crossref","is-referenced-by-count":17,"title":["Furosemide Stress Test as a Predicting Biomarker for Delayed Graft Function in Kidney Transplantation"],"prefix":"10.1159","volume":"141","author":[{"given":"Suwasin","family":"Udomkarnjananun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natavudh","family":"Townamchai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kroonpong","family":"Iampenkhae","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aisawan","family":"Petchlorlian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8544-8132","authenticated-orcid":false,"given":"Nattachai","family":"Srisawat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pisut","family":"Katavetin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Methee","family":"Sutherasan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Apirak","family":"Santingamkun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kearkiat","family":"Praditpornsilpa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Somchai","family":"Eiam-Ong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingyos","family":"Avihingsanon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"127","published-online":{"date-parts":[[2019,1,11]]},"container-title":["Nephron"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/495765","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/495765","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T17:17:25Z","timestamp":1745428645000},"score":1,"resource":{"primary":{"URL":"https:\/\/karger.com\/article\/doi\/10.1159\/000495765"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":0,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2019,4,2]]},"published-print":{"date-parts":[[2019,4,4]]}},"URL":"https:\/\/doi.org\/10.1159\/000495765","archive":["Portico"],"relation":{"is-supplemented-by":[{"id-type":"doi","id":"10.6084\/m9.figshare.7577639","asserted-by":"subject"}]},"ISSN":["1660-8151","2235-3186"],"issn-type":[{"value":"1660-8151","type":"print"},{"value":"2235-3186","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}