{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T05:25:30Z","timestamp":1787117130390,"version":"build-2736575974"},"reference-count":24,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nephrol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The roles of chronic kidney disease and acute kidney injury (AKI) as determinants of short- and long-term survival following myocardial infarction (MI) have not been well investigated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A retrospective analysis of electronic health record data was conducted for U.S. veterans between 2002 and 2015, with up to 15 years of follow-up after MI. Eligible participants included 49,150 veterans with a serum creatinine measurement prior to MI hospitalization. AKI stage was determined by the change between the pre-hospitalization creatinine level and the peak in-hospital measurement. The associations of AKI, estimated glomerular filtration rate (eGFR), and troponin I ratios with survival were evaluated using Cox proportional hazards models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Compared to the no-AKI group, the hazard ratios (HRs) and 95% confidence intervals (CIs) for 30-day mortality were 3.12 (2.87\u20133.39), 5.12 (4.65\u20135.65), and 7.81 (6.93\u20138.81) across worsening stages of AKI. For 15-year mortality, the HRs were 1.76 (1.68\u20131.85), 2.33 (2.17\u20132.50), and 2.66 (2.37\u20132.99). Compared to those with eGFR &amp;gt;60 mL\/min\/1.73 m\u00b2, HRs (95% CI) for 30-day mortality were 1.23 (1.13\u20131.33), 1.46 (1.33\u20131.59), and 1.92 (1.72\u20132.13) across decreasing eGFR levels. For 15-year mortality, HRs were 1.21 (1.17\u20131.25), 1.55 (1.49\u20131.61), and 2.13 (2.03\u20132.24). Mortality rates increased with rising troponin I (cTnI) ratios, particularly for 30-day mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>AKI, baseline eGFR, and troponin levels were associated with both short- and long-term survival following MI. AKI during MI hospitalization was a particularly strong determinant of short-term mortality.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fneph.2026.1761672","type":"journal-article","created":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T04:39:56Z","timestamp":1787114396000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Acute kidney injury, baseline renal function, troponin, and survival after myocardial infarction"],"prefix":"10.3389","volume":"6","author":[{"given":"Bing","family":"Lu","sequence":"first","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]},{"name":"Department of Public Health Sciences, University of Connecticut Health Center","place":["Farmington, CT, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacqueline P.","family":"Honerlaw","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuk-Lam","family":"Ho","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Posner","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David R.","family":"Gagnon","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]},{"name":"Department of Biostatistics, Boston University School of Public Health","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan-Mai T.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]},{"name":"Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason L.","family":"Vassy","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]},{"name":"Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. Michael","family":"Gaziano","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]},{"name":"Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelly","family":"Cho","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]},{"name":"Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luc","family":"Djousse","sequence":"additional","affiliation":[{"name":"Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System","place":["Boston, MA, United States"]},{"name":"Department of Medicine, Brigham and Women\u2019s Hospital, Harvard Medical School","place":["Boston, MA, United States"]},{"name":"Department of Medicine, New England Geriatric Research Education and Clinical Center (GRECC)","place":["Boston, MA, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter W. 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