{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T12:07:04Z","timestamp":1787314024133,"version":"build-2736575974"},"reference-count":46,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T00:00:00Z","timestamp":1594166400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001729","name":"Stiftelsen f\u00f6r\u00a0Strategisk Forskning","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001729","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004348","name":"Stockholms L\u00e4ns Landsting","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004348","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Intern Med"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Patients with chronic kidney disease (CKD) have poor outcomes following myocardial infarction (MI). We performed an untargeted examination of 175 biomarkers to identify those with the strongest association with CKD and to examine the association of those biomarkers with long\u2010term outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 175 different biomarkers from MI patients enrolled in the Swedish Web\u2010System for Enhancement and Development of Evidence\u2010Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART) registry were analysed either by a multiple reaction monitoring mass spectrometry assay or by a multiplex assay (proximity extension assay). Random forests statistical models were used to assess the predictor importance of biomarkers, CKD and outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 1098 MI patients with a median estimated glomerular filtration rate of 85\u00a0mL\u00a0min\n                      <jats:sup>\u22121<\/jats:sup>\n                      \/1.73\u00a0m\n                      <jats:sup>2<\/jats:sup>\n                      were followed for a median of 3.2\u00a0years. The random forests analyses, without and with adjustment for differences in demography, comorbidities and severity of disease, identified six biomarkers (adrenomedullin, TNF receptor\u20101, adipocyte fatty acid\u2010binding protein\u20104, TNF\u2010related apoptosis\u2010inducing ligand receptor 2, growth differentiation factor\u201015 and TNF receptor\u20102) to be strongly associated with CKD. All six biomarkers were also amongst the 15 strongest predictors for death, and four of them were amongst the strongest predictors of subsequent MI and heart failure hospitalization.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In patients with MI, a proteomic approach could identify six biomarkers that best predicted CKD. These biomarkers were also amongst the most important predictors of long\u2010term outcomes. Thus, these biomarkers indicate underlying mechanisms that may contribute to the poor prognosis seen in patients with MI and CKD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/joim.13116","type":"journal-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T04:19:50Z","timestamp":1594181990000},"page":"581-592","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Use of proteomics to identify biomarkers associated with chronic kidney disease and long\u2010term outcomes in patients with myocardial infarction"],"prefix":"10.1111","volume":"288","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2377-436X","authenticated-orcid":false,"given":"R.","family":"Edfors","sequence":"first","affiliation":[{"name":"From the Department of Clinical Sciences Division of Cardiovascular Medicine Danderyd Hospital Karolinska Institutet Stockholm Sweden"},{"name":"Bayer AB Solna Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"Lindhagen","sequence":"additional","affiliation":[{"name":"Uppsala Clinical Research Center Department of Medical Sciences Uppsala University Uppsala Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Spaak","sequence":"additional","affiliation":[{"name":"From the Department of Clinical Sciences Division of Cardiovascular Medicine Danderyd Hospital Karolinska Institutet Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Evans","sequence":"additional","affiliation":[{"name":"Department of Clinical Science, Intervention and Technology (CLINTEC) Division of Renal Medicine Karolinska Institutet Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"Andell","sequence":"additional","affiliation":[{"name":"Department of Medicine Unit of Cardiology Karolinska Institutet Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T.","family":"Baron","sequence":"additional","affiliation":[{"name":"Uppsala Clinical Research Center Department of Medical Sciences Uppsala University Uppsala Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"M\u00f6rtberg","sequence":"additional","affiliation":[{"name":"Department of Clinical Sciences Division of Renal Medicine Danderyd Hospital Karolinska Institutet Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Rezeli","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Lund University Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.","family":"Salzinger","sequence":"additional","affiliation":[{"name":"Department of Clinical Sciences Division of Renal Medicine Danderyd Hospital Karolinska Institutet Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"Lundman","sequence":"additional","affiliation":[{"name":"From the Department of Clinical Sciences Division of Cardiovascular Medicine Danderyd Hospital Karolinska Institutet Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.","family":"Szummer","sequence":"additional","affiliation":[{"name":"Department of Medicine Unit of Cardiology Karolinska Institutet Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"Tornvall","sequence":"additional","affiliation":[{"name":"Department of Clinical Science and Education Karolinska Institutet S\u00f6dersjukhuset Stockholm Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H. 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