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There is limited knowledge about these cardiac markers in pediatric CKD patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Longitudinal levels of NT-proBNP and hs-cTnT were analyzed in 48 pediatric patients, 22 with CKD (GFR range 8.8\u201368\u00a0mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      ) and 26 transplanted patients (CKD-T; GFR range 30\u201399\u00a0mL\/min\/1.73 m\n                      <jats:sup>2<\/jats:sup>\n                      ). Follow-up was scheduled after 1 and 3\u00a0years. Longitudinal patterns and associations to kidney function, cardiovascular risk markers, and echocardiographic parameters were assessed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      High NT-proBNP was present in 27% of CKD and 11% of CKD-T patients. Similarly 32% of CKD and 8% of CKD-T patients had elevated hs-cTnT levels. In longitudinal multivariate analyses, high log NT-proBNP was associated with low GFR (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u2009\u2212\u20090.01,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.01) and elevated left ventricular mass index (LVMI;\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u20090.02,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.05). The strong association to LVMI remained when using GFR-adjusted NT-proBNP in similar analysis. Patients with left ventricular hypertrophy (LVH) also had higher NT-proBNP (235\u00a0[146\u2013301] ng\/L) than patients without LVH (86 [11\u2013477] ng\/L),\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.02. High hs-cTnT over-time was also associated with low GFR (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u2009\u2212\u20090.007,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.01) and a low cc-TDI e\u00b4\/a\u00b4, indicating a worse LV diastolic function (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      \u2009=\u2009\u2009\u2212\u20090.09,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.05). This association did not persist for GFR-adjusted hs-cTnT.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>NT-proBNP and hs-cTnT are elevated in pediatric CKD and CKD-T patients. GFR-adjusted NT-proBNP was associated with longitudinal levels of elevated LVMI suggesting this might be a marker for early subclinical myocardial damage.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical abstract<\/jats:title>\n                    <jats:p>A higher resolution version of the Graphical abstract is available as Supplementary information.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00467-022-05481-w","type":"journal-article","created":{"date-parts":[[2022,3,16]],"date-time":"2022-03-16T06:05:42Z","timestamp":1647410742000},"page":"3165-3175","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Cardiac biomarkers in pediatric CKD\u2014a prospective follow-up study"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1814-0795","authenticated-orcid":false,"given":"Ylva Tran\u00e6us","family":"Lindblad","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgios","family":"Vavilis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milan","family":"Chromek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdul Rashid","family":"Quershi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"L\u00f6wbeer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"B\u00e1r\u00e1ny","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,3,16]]},"reference":[{"key":"5481_CR1","doi-asserted-by":"publisher","first-page":"A7","DOI":"10.1053\/j.ajkd.2019.01.001","volume":"73","author":"R Saran","year":"2019","unstructured":"Saran R, Robinson B, Abbott KC, Agodoa LYC, Bragg-Gresham J, Balkrishnan R, Bhave N, Dietrich X, Ding Z, Eggers PW, Gaipov A, Gillen D, Gipson D, Gu H, Guro P, Haggerty D, Han Y, He K, Herman W, Heung M, Hirth RA, Hsiung JT, Hutton D, Inoue A, Jacobsen SJ, Jin Y, Kalantar-Zadeh K, Kapke A, Kleine CE, Kovesdy CP, Krueter W, Kurtz V, Li Y, Liu S, Marroquin MV, McCullough K, Molnar MZ, Modi Z, Montez-Rath M, Moradi H, Morgenstern H, Mukhopadhyay P, Nallamothu B, Nguyen DV, Norris KC, O\u2019Hare AM, Obi Y, Park C, Pearson J, Pisoni R, Potukuchi PK, Repeck K, Rhee CM, Schaubel DE, Schrager J, Selewski DT, Shamraj R, Shaw SF, Shi JM, Shieu M, Sim JJ, Soohoo M, Steffick D, Streja E, Sumida K, Kurella Tamura M, Tilea A, Turf M, Wang D, Weng W, Woodside KJ, Wyncott A, Xiang J, Xin X, Yin M, You AS, Zhang X, Zhou H, Shahinian V (2019) US Renal Data System 2018 annual data report: epidemiology of kidney disease in the United States. 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