{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T01:15:30Z","timestamp":1785546930388,"version":"3.56.0"},"reference-count":35,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2021,1,19]],"date-time":"2021-01-19T00:00:00Z","timestamp":1611014400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002997","name":"Dutch Kidney Foundation","doi-asserted-by":"publisher","award":["16OKG12"],"award-info":[{"award-number":["16OKG12"]}],"id":[{"id":"10.13039\/501100002997","id-type":"DOI","asserted-by":"publisher"}]},{"name":"SFB","award":["TRR219"],"award-info":[{"award-number":["TRR219"]}]},{"name":"SFB","award":["C01"],"award-info":[{"award-number":["C01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Cardiovascular disease is the major cause of death in end-stage renal disease (ESRD). To develop better means to assess cardiovascular risk in these patients, we compared conventional echocardiography-derived left ventricular ejection fraction (EF) with the novel method of 2D speckle-tracking echocardiography to determine cardiac strain.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Predictive performances of conventional EF and speckle-tracking echocardiography-derived global longitudinal strain (GLS) were compared using receiver-operator curve (ROC) analyses and calibration by calibration plots. We also took into account other known cardiovascular risk factors through multivariable logistic regression analysis.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The study comprised 171 ESRD patients (mean age 64\u2009years, 64% male) on maintenance dialysis therapy (93% haemodialysis, 7% peritoneal dialysis) for an average period of 39\u2009months. During 2.1\u2009years of follow-up, 42 patients (25%) died from cardiovascular disease. ROC analysis of GLS resulted in an area under the curve of 0.700 [95% confidence interval (CI) 0.603\u20130.797] compared with an area under the curve of EF of 0.615 (95% CI 0.514\u20130.716) (P\u2009=\u20090.059 for difference). The total absolute deviation between predicted and observed outcome frequencies obtained by calibration plots were 13.8% for EF compared with only 6.4% for GLS. Best results of ROC analysis (area under the curve\u2009=\u20090.759; P\u2009=\u20090.06), calibration and goodness-of-fit (\u03c72\u2009=\u200928.34, P\u2009\u2264\u20090.0001, R2\u2009=\u20090.25) were achieved for GLS added to a baseline model consisting of known cardiovascular risk factors in a multivariate regression analysis.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>In summary, in chronic dialysis patients, GLS is a more precise predictor of cardiovascular mortality than conventional echocardiography-derived EF.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ckj\/sfaa161","type":"journal-article","created":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T23:14:58Z","timestamp":1610579698000},"page":"1579-1585","source":"Crossref","is-referenced-by-count":11,"title":["Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease"],"prefix":"10.1093","volume":"14","author":[{"given":"Janna","family":"Terhuerne","sequence":"first","affiliation":[{"name":"Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Merel","family":"van Diepen","sequence":"additional","affiliation":[{"name":"Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Kramann","sequence":"additional","affiliation":[{"name":"Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johanna","family":"Erpenbeck","sequence":"additional","affiliation":[{"name":"Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Friedo","family":"Dekker","sequence":"additional","affiliation":[{"name":"Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikolaus","family":"Marx","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Medical Faculty RWTH Aachen University, Aachen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00fcrgen","family":"Floege","sequence":"additional","affiliation":[{"name":"Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Becker","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Medical Faculty RWTH Aachen University, Aachen, 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