{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T00:43:30Z","timestamp":1777941810743,"version":"3.51.4"},"reference-count":26,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T00:00:00Z","timestamp":1614124800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Vasc Endovascular Surg"],"published-print":{"date-parts":[[2021,7]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>The soluble urokinase-type plasminogen activator receptor (suPAR) in uPAR soluble form is produced when the uPAR is cleaved from the cell membrane during the inflammatory process. Postoperative atrial fibrillation (AF) is the most common perioperative cardiac arrhythmia. It is speculated that elevated suPAR has a role in the development of AF. The aim of our study was to investigate the predictive role of preoperative suPAR in the occurrence of AF during the first 6 months after major vascular surgery.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We included 119 male and 63 female patients with an average age of 67.19 \u00b1 6.02 years, without permanent\/persistent AF. Basic predictive model (BASIC) included traditional risk factors for AF: age, gender, body mass index-BMI, smoking status, presence of arterial hypertension, diabetes mellitus and dyslipidemia.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Over the 6-month period, 19 (10.4%) patients had one new episode of atrial fibrillation and 2 patients (1.1%) had 2 episodes of paroxysmal atrial fibrillation. Paroxysms of AF were significantly more frequent in patients who had a resection of an abdominal aneurysm than in patients with other types of major vascular surgery. BASIC had good discriminatory ability in the prediction of AF paroxysms during the first 6 months after surgery (AUC = 0.715, 95%CI 0.590-0.840). Adding suPAR to the basic model significantly improved the discriminative ability of the predictive model for AF episodes (\u0394AUC = 0.238, p &lt; 0.001). The predictive performance of the model BASIC+CRP+suPAR, measured using AUC, NRI and IDI statistics, was very similar to the model BASIC+suPAR.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>AF is a common complication in surgical patients with high mortality and morbidity. suPAR could improve the ability of traditional risk factors to predict its occurrence up to 6 months after major vascular surgery.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1538574421995321","type":"journal-article","created":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T04:33:21Z","timestamp":1614141201000},"page":"461-466","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Preoperative Levels of the Soluble Urokinase-Type Plasminogen Activator Receptor as Predictor for New Episodes of Atrial Fibrillation After Vascular Surgery"],"prefix":"10.1177","volume":"55","author":[{"given":"Milan","family":"Lazarevi\u0107","sequence":"first","affiliation":[{"name":"Clinic of Cardiovascular and Transplant Surgery, Clinical Center Ni\u0161, Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mladjan","family":"Golubovi\u0107","sequence":"additional","affiliation":[{"name":"Department for Cardiac Surgery, Clinic for Anaesthesiology and Intensive Therapy, Clinical Center Ni\u0161, Ni\u0161, Serbia"},{"name":"Medical School of Nis, University of Ni\u0161, Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dragan","family":"Mili\u0107","sequence":"additional","affiliation":[{"name":"Clinic of Cardiovascular and Transplant Surgery, Clinical Center Ni\u0161, Ni\u0161, Serbia"},{"name":"Medical School of Nis, University of Ni\u0161, Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dragana","family":"Stanojevi\u0107","sequence":"additional","affiliation":[{"name":"Clinic for Cardiology, Clinical Center Ni\u0161, Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomislav","family":"Kosti\u0107","sequence":"additional","affiliation":[{"name":"Medical School of Nis, University of Ni\u0161, Ni\u0161, Serbia"},{"name":"Clinic for Cardiology, Clinical Center Ni\u0161, Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miodrag","family":"\u0110or\u0111evi\u0107","sequence":"additional","affiliation":[{"name":"Medical School of Nis, University of Ni\u0161, Ni\u0161, Serbia"},{"name":"Clinic for Endocrine Surgery, Clinical Center Ni\u0161, Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vesna","family":"Marjanovi\u0107","sequence":"additional","affiliation":[{"name":"Medical School of Nis, University of Ni\u0161, Ni\u0161, Serbia"},{"name":"Department for Pediatric Surgery, Clinic for Anaesthesiology and Intensive Therapy, Clinical Center Ni\u0161, Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8690-4921","authenticated-orcid":false,"given":"Velimir","family":"Peri\u0107","sequence":"additional","affiliation":[{"name":"Department for Cardiac Surgery, Clinic for Anaesthesiology and Intensive Therapy, Clinical Center Ni\u0161, Ni\u0161, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2021,2,24]]},"reference":[{"key":"bibr1-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1556\/1886.2016.00011"},{"key":"bibr2-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0170546"},{"key":"bibr3-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1016\/j.atherosclerosis.2017.06.019"},{"key":"bibr4-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/547818"},{"key":"bibr5-1538574421995321","doi-asserted-by":"publisher","DOI":"10.4049\/jimmunol.168.2.801"},{"issue":"1","key":"bibr6-1538574421995321","first-page":"105","volume":"14","author":"Han B","year":"2005","journal-title":"Oncol Rep"},{"key":"bibr7-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1161\/STROKEAHA.112.664094"},{"key":"bibr8-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1016\/j.cjca.2015.08.011"},{"key":"bibr9-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1016\/j.joa.2017.05.003"},{"key":"bibr10-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2012.07.018"},{"key":"bibr11-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.111.039677"},{"key":"bibr12-1538574421995321","doi-asserted-by":"publisher","DOI":"10.25011\/cim.v39i6.27528"},{"key":"bibr13-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1111\/jth.12974"},{"key":"bibr14-1538574421995321","unstructured":"The Criteria Committee of the New York Heart Association. Nomenclature and Criteria for Diagnosis of Diseases of the Heart and Great Vessels. 9th ed. Little, Brown & Co; 1994:253\u2013256."},{"key":"bibr15-1538574421995321","doi-asserted-by":"publisher","DOI":"10.1097\/00000542-197810000-00003"},{"key":"bibr16-1538574421995321","unstructured":"R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2013. 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