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Patients with chronic kidney disease (CKD) seem to be more prone to a severe course of coronavirus disease (COVID-19) due to comorbidities and an altered immune system. The study\u2019s aim was to identify factors predicting mortality among SARS-CoV-2-infected patients with CKD.<\/jats:p>\n            <\/jats:sec><jats:sec>\n              <jats:title>Methods<\/jats:title>\n              <jats:p>We analyzed 2817 SARS-CoV-2-infected patients enrolled in the Lean European Open Survey on SARS-CoV-2-infected patients and identified 426 patients with pre-existing CKD. Group comparisons were performed via Chi-squared test. Using univariate and multivariable logistic regression, predictive factors for mortality were identified.<\/jats:p>\n            <\/jats:sec><jats:sec>\n              <jats:title>Results<\/jats:title>\n              <jats:p>Comparative analyses to patients without CKD revealed a higher mortality (140\/426, 32.9% versus 354\/2391, 14.8%). Higher age could be confirmed as a demographic predictor for mortality in CKD patients (&gt;\u200985\u00a0years compared to 15\u201365\u00a0years, adjusted odds ratio (aOR) 6.49, 95% CI 1.27\u201333.20, <jats:italic>p<\/jats:italic>\u2009=\u20090.025). We further identified markedly elevated lactate dehydrogenase (&gt;\u20092\u2009\u00d7\u2009upper limit of normal, aOR 23.21, 95% CI 3.66\u2013147.11, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), thrombocytopenia (&lt;\u2009120,000\/\u00b5l, aOR 11.66, 95% CI 2.49\u201354.70, <jats:italic>p<\/jats:italic>\u2009=\u20090.002), anemia (Hb\u2009&lt;\u200910\u00a0g\/dl, aOR 3.21, 95% CI 1.17\u20138.82, <jats:italic>p<\/jats:italic>\u2009=\u20090.024), and C-reactive protein (\u2265\u200930\u00a0mg\/l, aOR 3.44, 95% CI 1.13\u201310.45, <jats:italic>p<\/jats:italic>\u2009=\u20090.029) as predictors, while renal replacement therapy was not related to mortality (aOR 1.15, 95% CI 0.68\u20131.93, <jats:italic>p<\/jats:italic>\u2009=\u20090.611).<\/jats:p>\n            <\/jats:sec><jats:sec>\n              <jats:title>Conclusion<\/jats:title>\n              <jats:p>The identified predictors include routinely measured and universally available parameters. Their assessment might facilitate risk stratification in this highly vulnerable cohort as early as at initial medical evaluation for SARS-CoV-2.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1007\/s15010-021-01597-7","type":"journal-article","created":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T19:08:51Z","timestamp":1618340931000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Clinical course and predictive risk factors for fatal outcome of SARS-CoV-2 infection in patients with chronic kidney disease"],"prefix":"10.1007","author":[{"name":"the LEOSS Study group","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa","family":"Pilgram","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lukas","family":"Eberwein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Wille","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felix C.","family":"Koehler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Melanie","family":"Stecher","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siegbert","family":"Rieg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan T.","family":"Kielstein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carolin E. 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Koehler is supported by the Koeln Fortune program\/Faculty of Medicine, University of Cologne, and has received grants from the Maria-Pesch Stiftung, Cologne, Germany and from the German Federal Ministry of Research and Education, and non-financial support from Miltenyi Biotec GmbH, Bergisch Gladbach, Germany outside the submitted work. Lisa Pilgram received a grant from DZIF (German Center for Infection Research) and Willy Robert Pitzer Foundation. All authors declare no relevant conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}