{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T10:22:09Z","timestamp":1768818129442,"version":"3.49.0"},"reference-count":40,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"20","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2018,10,16]]},"abstract":"<jats:sec xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">\n              Chronic kidney disease is a recognized independent risk factor for cardiovascular disease, but whether the risks of ST\u2010segment\u2013elevation myocardial infarction (\n              <jats:styled-content style=\"fixed-case\">STEMI<\/jats:styled-content>\n              ) and non\u2013ST\u2010segment\u2013elevation myocardial infarction (\n              <jats:styled-content style=\"fixed-case\">NSTEMI<\/jats:styled-content>\n              ) differ in the chronic kidney disease population is unknown.\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              Using administrative data from Ontario, Canada, we examined patients \u226566\u00a0years of age with an outpatient estimated glomerular filtration rate (\n              <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content>\n              ) and albuminuria measure for incident myocardial infarction from 2002 to 2015. Adjusted Fine and Gray subdistribution hazard models accounting for the competing risk of death were used. In 248\u00a0438 patients with 1.2\u00a0million person\u2010years of follow\u2010up,\n              <jats:styled-content style=\"fixed-case\">STEMI<\/jats:styled-content>\n              ,\n              <jats:styled-content style=\"fixed-case\">NSTEMI<\/jats:styled-content>\n              , and death occurred in 1436 (0.58%), 4431 (1.78%), and 30\u00a0015 (12.08%) patients, respectively. The highest level of albumin\u2010to\u2010creatinine ratio (&gt;30\u00a0mg\/mmol) was associated with a 2\u2010fold higher adjusted risk of both\n              <jats:styled-content style=\"fixed-case\">STEMI<\/jats:styled-content>\n              and\n              <jats:styled-content style=\"fixed-case\">NSTEMI<\/jats:styled-content>\n              among patients with\n              <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content>\n              \u226560\u00a0mL\/(min\u00b71.73\u00a0m\n              <jats:sup>2<\/jats:sup>\n              ) compared to albumin\u2010to\u2010creatinine ratio &lt;3\u00a0mg\/mmol. The lowest level of\n              <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content>\n              (&lt;30\u00a0mL\/[min\u00b71.73\u00a0m\n              <jats:sup>2<\/jats:sup>\n              ]) was not associated with higher\n              <jats:styled-content style=\"fixed-case\">STEMI<\/jats:styled-content>\n              risk but with a 4\u2010fold higher risk of\n              <jats:styled-content style=\"fixed-case\">NSTEMI<\/jats:styled-content>\n              compared to those with\n              <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content>\n              \u226560\u00a0mL\/(min\u00b71.73\u00a0m\n              <jats:sup>2<\/jats:sup>\n              ). The lowest\n              <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content>\n              (&lt;30\u00a0mL\/[min\u00b71.73\u00a0m\n              <jats:sup>2<\/jats:sup>\n              ]) and highest albumin\u2010to\u2010creatinine ratio (&gt;30\u00a0mg\/mmol) were associated with a greater than 4\u2010fold higher risk of both\n              <jats:styled-content style=\"fixed-case\">STEMI<\/jats:styled-content>\n              and\n              <jats:styled-content style=\"fixed-case\">NSTEMI<\/jats:styled-content>\n              (subdistribution hazard models [95% confidence interval] 4.53 [3.30\u20106.21] and 4.42 [3.67\u20105.32], respectively) compared to albumin\u2010to\u2010creatinine ratio &lt;3\u00a0mg\/mmol and\n              <jats:styled-content style=\"fixed-case\">eGFR<\/jats:styled-content>\n              \u226560\u00a0mL\/(min\u00b71.73\u00a0m\n              <jats:sup>2<\/jats:sup>\n              ).\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              Elevations in albuminuria are associated with a higher risk of both\n              <jats:styled-content style=\"fixed-case\">NSTEMI<\/jats:styled-content>\n              and\n              <jats:styled-content style=\"fixed-case\">STEMI<\/jats:styled-content>\n              , regardless of kidney function, whereas reduced kidney function alone is associated with a higher\n              <jats:styled-content style=\"fixed-case\">NSTEMI<\/jats:styled-content>\n              risk.\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.118.009995","type":"journal-article","created":{"date-parts":[[2018,10,11]],"date-time":"2018-10-11T09:01:02Z","timestamp":1539248462000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":11,"title":["Albuminuria, Reduced Kidney Function, and the Risk of ST\u2010 and non\u2013ST\u2010segment\u2013elevation myocardial infarction"],"prefix":"10.1161","volume":"7","author":[{"given":"Sonali N.","family":"de Chickera","sequence":"first","affiliation":[{"name":"Department of Medicine University of Ottawa Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarah E.","family":"Bota","sequence":"additional","affiliation":[{"name":"Institute for Clinical Evaluative Sciences Toronto Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John Paul","family":"Kuwornu","sequence":"additional","affiliation":[{"name":"Institute for Clinical Evaluative Sciences Toronto Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harindra C.","family":"Wijeysundera","sequence":"additional","affiliation":[{"name":"Institute for Clinical Evaluative Sciences Toronto Ontario Canada"},{"name":"Schulich Heart Center Sunnybrook Health Services Center Toronto Ontario Canada"},{"name":"Institute for Health Policy, Management and Evaluation (IHPME) University of Toronto Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amber O.","family":"Molnar","sequence":"additional","affiliation":[{"name":"Institute for Clinical Evaluative Sciences Toronto Ontario Canada"},{"name":"Department of Medicine McMaster University Hamilton Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ngan N.","family":"Lam","sequence":"additional","affiliation":[{"name":"Department of Medicine University of Alberta Edmonton Alberta Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuel A.","family":"Silver","sequence":"additional","affiliation":[{"name":"Institute for Clinical Evaluative Sciences Toronto Ontario Canada"},{"name":"Department of Medicine Queen's University Kingston Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edward G.","family":"Clark","sequence":"additional","affiliation":[{"name":"Department of Medicine University of Ottawa Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manish M.","family":"Sood","sequence":"additional","affiliation":[{"name":"Department of Medicine University of Ottawa Ontario Canada"},{"name":"Institute for Clinical Evaluative Sciences Toronto Ontario Canada"},{"name":"Clinical Epidemiology Program Ottawa Hospital Research Institute Ottawa Ontario Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"276","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1503\/cmaj.120833"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1053\/ajkd.2003.50007"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(13)60687-X"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2005101085"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa041031"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.0000095676.90936.80"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.167.22.2490"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2010.39"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.109.865352"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/0735-1097(96)00018-6"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1001885"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-150-9-200905050-00006"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2004080697"},{"key":"e_1_3_2_15_2","first-page":"1","article-title":"Clinical practice guideline for the evaluation and management of chronic kidney disease","volume":"3","author":"KDIGO CKD Kidney Working Group","year":"2013","unstructured":"KDIGO CKD Kidney Working Group . Clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl. 2013;3:1\u2013150.","journal-title":"Kidney Int Suppl"},{"key":"e_1_3_2_16_2","unstructured":"Weiner JP ed. The Johns Hopkins University Bloomberg School of Public Health HSRDC: the Johns Hopkins ACG\u00ae Case\u2010Mix System Version 10.0 release notes. Baltimore MD: The Johns Hopkins University; 2011."},{"key":"e_1_3_2_17_2","first-page":"67","article-title":"Coding accuracy of administrative drug claims in the Ontario Drug Benefit database","volume":"10","author":"Levy AR","year":"2003","unstructured":"Levy AR, O'Brien BJ, Sellors C, Grootendorst P, Willison D. Coding accuracy of administrative drug claims in the Ontario Drug Benefit database. Can J Clin Pharmacol. 2003;10:67\u201371.","journal-title":"Can J Clin Pharmacol"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.9778\/cmajo.20150060"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.10301016"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19425-7_4"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.25.11.1186"},{"key":"e_1_3_2_22_2","first-page":"101","article-title":"Centers for Disease Control and Prevention: trends in aging\u2014United States and worldwide","volume":"52","year":"2003","unstructured":"Centers for Disease Control and Prevention: trends in aging\u2014United States and worldwide. MMWR Morb Mortal Wkly Rep. 2003;52:101\u2013104, 106.","journal-title":"MMWR Morb Mortal Wkly Rep"},{"issue":"6","key":"e_1_3_2_23_2","first-page":"1","article-title":"USRDS: the United States renal data system","volume":"42","year":"2003","unstructured":"USRDS: the United States renal data system. Am J Kidney Dis. 2003;42(6 suppl 5):1\u2013230.","journal-title":"Am J Kidney Dis"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-134-8-200104170-00007"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.38814.566019.2F"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1038\/ki.2010.483"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.09741110"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1373\/clinchem.2011.171520"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.atherosclerosis.2018.02.009"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2008080860"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.2215\/CJN.01250209"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.108.816082"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.112.107128"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00285287"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1523-1755.2005.00067.x"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1038\/labinvest.3700134"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1681\/ASN.2007040461"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1523-1755.2005.09906.x"},{"key":"e_1_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1161\/01.HYP.0000178102.85718.66"},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ki.5001632"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.2337\/diabetes.51.4.1157"}],"container-title":["Journal of the American Heart Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.ahajournals.org\/doi\/full\/10.1161\/JAHA.118.009995","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T11:57:42Z","timestamp":1715601462000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ahajournals.org\/doi\/10.1161\/JAHA.118.009995"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,16]]},"references-count":40,"journal-issue":{"issue":"20","published-print":{"date-parts":[[2018,10,16]]}},"alternative-id":["10.1161\/JAHA.118.009995"],"URL":"https:\/\/doi.org\/10.1161\/jaha.118.009995","relation":{},"ISSN":["2047-9980"],"issn-type":[{"value":"2047-9980","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,16]]},"assertion":[{"value":"2018-06-04","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-08-21","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-10-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e009995"}}