001     128092
005     20240228145533.0
024 7 _ |a 10.1016/S2352-3026(17)30108-4
|2 doi
024 7 _ |a pmid:28733186
|2 pmid
024 7 _ |a altmetric:22205004
|2 altmetric
037 _ _ |a DKFZ-2017-04114
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Luft, Thomas
|b 0
245 _ _ |a EASIX in patients with acute graft-versus-host disease: a retrospective cohort analysis.
260 _ _ |a London [u.a.]
|c 2017
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1510750528_10556
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Endothelial dysfunction links thrombotic microangiopathy to steroid-refractory graft-versus-host disease (GVHD) after allogeneic stem-cell transplantation. We aimed to assess if the simple formula-lactate dehydrogenase (U/L) × creatinine (mg/dL)/thrombocytes (10(9) cells per L)-termed the Endothelial Activation and Stress Index (EASIX), might be valuable for the prediction of death in patients with acute GVHD after allogeneic stem-cell transplantation.For this retrospective analysis, we analysed a training cohort (in Germany) and three validation cohorts (in Germany and the USA) of patients with acute GVHD who had received consecutive allogeneic stem-cell transplantation. The primary endpoint was prediction of overall survival when measured at acute GVHD onset (EASIX-GVHD). We validated the prognostic strength of EASIX-GVHD for overall survival and non-relapse mortality in the three independent cohorts by calculating the prediction error (integrated Brier score), and concordance index.In the total cohort of patients with acute GVHD (n=311), EASIX-GVHD predicted overall survival in univariable and multivariable models (univariate analysis, hazard ratio [HR] for a one-fold increase 1·16, 95% CI 1·12-1·20, p=0·0004). However, in the subpopulation of patients with myeloablative conditioning (n=72), EASIX-GVHD did not predict overall survival, which is probably attributable to thrombocytopenia at GVHD onset (73 × 10(9) cells per L [IQR 29·75-180·00] for myeloablative conditioning vs 160 × 10(9) cells per L [90·0-250·5] for reduced-intensity conditioning; p<0·0001). In patients who received reduced-intensity conditioning (n=239), EASIX-GVHD was a strong predictor of overall survival (HR for a two-fold change of 1·23, 95% CI 1·13-1·34; p<0·0001) and non-relapse mortality (cause-specific HR for a two-fold change of 1·24, 1·12-1·38; p<0·0001). Model validation for prediction of overall survival and non-relapse mortality by EASIX-GVHD was successful in two independent cohorts of adult patients with reduced-intensity conditioning (n=141, n=173) and in a cohort with mainly paediatric patients (n=89).In patients with reduced-intensity conditioning, EASIX-GVHD is a powerful predictor of survival after GVHD. EASIX-GVHD could be the future basis for development of risk-adapted GVHD treatment strategies.There was no external funding source for this study.
536 _ _ |a 313 - Cancer risk factors and prevention (POF3-313)
|0 G:(DE-HGF)POF3-313
|c POF3-313
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Benner, Axel
|0 P:(DE-He78)e15dfa1260625c69d6690a197392a994
|b 1
|u dkfz
700 1 _ |a Jodele, Sonata
|b 2
700 1 _ |a Dandoy, Christopher E
|b 3
700 1 _ |a Storb, Rainer
|b 4
700 1 _ |a Gooley, Ted
|b 5
700 1 _ |a Sandmaier, Brenda M
|b 6
700 1 _ |a Becker, Natalia
|0 P:(DE-He78)ecb33fb615e08035fdcefcaebfdff8f0
|b 7
|u dkfz
700 1 _ |a Radujkovic, Aleksandar
|b 8
700 1 _ |a Dreger, Peter
|b 9
700 1 _ |a Penack, Olaf
|b 10
773 _ _ |a 10.1016/S2352-3026(17)30108-4
|g Vol. 4, no. 9, p. e414 - e423
|0 PERI:(DE-600)2802056-X
|n 9
|p e414 - e423
|t The @lancet / Haematology
|v 4
|y 2017
|x 2352-3026
909 C O |o oai:inrepo02.dkfz.de:128092
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)e15dfa1260625c69d6690a197392a994
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)ecb33fb615e08035fdcefcaebfdff8f0
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-313
|2 G:(DE-HGF)POF3-300
|v Cancer risk factors and prevention
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2017
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b LANCET HAEMATOL : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l Biostatistik
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21