{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T17:45:53Z","timestamp":1790790353121,"version":"4.1.0"},"reference-count":47,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"4","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2019,2,19]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Remodeling biomarkers carry high potential for predicting adverse events in chronic heart failure (\n              <jats:styled-content style=\"fixed-case\">CHF<\/jats:styled-content>\n              ) patients. However, temporal patterns during the course of\n              <jats:styled-content style=\"fixed-case\">CHF<\/jats:styled-content>\n              , and especially the trajectory before an adverse event, are unknown. We studied the prognostic value of temporal patterns of 14 cardiac remodeling biomarker candidates in stable patients with CHF from the Bio\u2010SHiFT (Serial Biomarker Measurements and New Echocardiographic Techniques in Chronic Heart Failure Patients Result in Tailored Prediction of Prognosis) study.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              In 263\n              <jats:styled-content style=\"fixed-case\">CHF<\/jats:styled-content>\n              patients, we performed trimonthly blood sampling during a median follow\u2010up of 2.2\u00a0years. For the analysis, we selected all baseline samples, the 2 samples closest to the primary end point (\n              <jats:styled-content style=\"fixed-case\">PE<\/jats:styled-content>\n              ), or the last sample available for end point\u2013free patients. Thus, in 567 samples, we measured suppression of tumorigenicity\u20102, galectin\u20103, galectin\u20104, growth differentiation factor\u201015, matrix metalloproteinase\u20102, 3, and 9, tissue inhibitor metalloproteinase\u20104, perlecan, aminopeptidase\u2010N, caspase\u20103, cathepsin\u2010D, cathepsin\u2010Z, and cystatin\u2010B. The\n              <jats:styled-content style=\"fixed-case\">PE<\/jats:styled-content>\n              was a composite of cardiovascular mortality, heart transplantation, left ventricular assist device implantation, and\n              <jats:styled-content style=\"fixed-case\">HF<\/jats:styled-content>\n              hospitalization. Associations between repeatedly measured biomarker candidates and the\n              <jats:styled-content style=\"fixed-case\">PE<\/jats:styled-content>\n              were investigated by joint modeling. Median age was 68 (interquartile range: 59\u201376) years with 72% men; 70 patients reached the\n              <jats:styled-content style=\"fixed-case\">PE<\/jats:styled-content>\n              . Repeatedly measured suppression of tumorigenicity\u20102, galectin\u20103, galectin\u20104, growth differentiation factor\u201015, matrix metalloproteinase\u20102 and 9, tissue inhibitor metalloproteinase\u20104, perlecan, cathepsin\u2010D, and cystatin\u2010B levels were significantly associated with the\n              <jats:styled-content style=\"fixed-case\">PE<\/jats:styled-content>\n              , and increased as the\n              <jats:styled-content style=\"fixed-case\">PE<\/jats:styled-content>\n              approached. The slopes of biomarker trajectories were also predictors of clinical outcome, independent of their absolute level. Associations persisted after adjustment for clinical characteristics and pharmacological treatment. Suppression of tumorigenicity\u20102 was the strongest predictor (hazard ratio: 7.55 per\n              <jats:styled-content style=\"fixed-case\">SD<\/jats:styled-content>\n              difference, 95%\n              <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>\n              : 5.53\u201310.30), followed by growth differentiation factor\u201015 (4.06, 2.98\u20135.54) and matrix metalloproteinase\u20102 (3.59, 2.55\u20135.05).\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Temporal patterns of remodeling biomarker candidates predict adverse clinical outcomes in\n              <jats:styled-content style=\"fixed-case\">CHF<\/jats:styled-content>\n              .\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec xml:lang=\"en\">\n            <jats:title>Clinical Trial Registration<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              <jats:styled-content style=\"fixed-case\">URL<\/jats:styled-content>\n              :\n              <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/www.clinicaltrials.gov\">http:\/\/www.clinicaltrials.gov<\/jats:ext-link>\n              . Unique identifier:\n              <jats:styled-content style=\"fixed-case\">NCT<\/jats:styled-content>\n              01851538.\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.118.009555","type":"journal-article","created":{"date-parts":[[2019,2,14]],"date-time":"2019-02-14T10:08:30Z","timestamp":1550138910000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":36,"title":["Temporal Patterns of 14 Blood Biomarker candidates of Cardiac Remodeling in Relation to Prognosis of Patients With Chronic Heart Failure\u2014The Bio\u2010SHiFT Study"],"prefix":"10.1161","volume":"8","author":[{"given":"Elke","family":"Bouwens","sequence":"first","affiliation":[{"name":"Department of Cardiology Erasmus MC Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milos","family":"Brankovic","sequence":"additional","affiliation":[{"name":"Department of Cardiology Erasmus MC Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henk","family":"Mouthaan","sequence":"additional","affiliation":[{"name":"Olink Proteomics Uppsala Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Baart","sequence":"additional","affiliation":[{"name":"Department of Cardiology Erasmus MC Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dimitris","family":"Rizopoulos","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Erasmus MC Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nick","family":"van Boven","sequence":"additional","affiliation":[{"name":"Department of Cardiology Erasmus MC Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kadir","family":"Caliskan","sequence":"additional","affiliation":[{"name":"Department of Cardiology Erasmus MC Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olivier","family":"Manintveld","sequence":"additional","affiliation":[{"name":"Department of Cardiology Erasmus MC Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tjeerd","family":"Germans","sequence":"additional","affiliation":[{"name":"Department of Cardiology Northwest Clinics Alkmaar the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"van Ramshorst","sequence":"additional","affiliation":[{"name":"Department of Cardiology Northwest Clinics Alkmaar the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor","family":"Umans","sequence":"additional","affiliation":[{"name":"Department of Cardiology Northwest Clinics Alkmaar the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K. 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