{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T17:31:02Z","timestamp":1789407062017,"version":"build-2803163510"},"reference-count":28,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"14","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["JAHA"],"published-print":{"date-parts":[[2025,7,15]]},"abstract":"<jats:sec id=\"jah311168-sec-0001\" xml:lang=\"en\">\n            <jats:title>Background<\/jats:title>\n            <jats:p xml:lang=\"en\">Primary percutaneous coronary intervention is the preferred treatment for acute myocardial infarction. However, in patients with chronic kidney disease (CKD), the use of contrast media can exacerbate renal dysfunction, often necessitating alternative strategies. The impact of CKD on acute myocardial infarction prognosis, particularly in the context of percutaneous coronary intervention, is not fully understood.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec id=\"jah311168-sec-0002\" xml:lang=\"en\">\n            <jats:title>Methods and Results<\/jats:title>\n            <jats:p xml:lang=\"en\">This study utilized real\u2010world registry data from the OACIS (Osaka Acute Coronary Insufficiency Study) to evaluate prognosis across different CKD grades, including advanced<\/jats:p>\n            <jats:p xml:lang=\"en\">\n              CKD and hemodialysis. From a database of 12\u2009093 patients with acute myocardial infarction, we identified 8411 patients with renal function data at admission (a median follow\u2010up period of 1765\u2009days). These patients were classified into 8 CKD categories based on estimated glomerular filtration rate (eGFR); G1 (eGFR\u226590 mL\/min per 1.73 m\n              <jats:sup>2<\/jats:sup>\n              ): n=1122, G2 (90&gt;eGFR \u226560 mL\/min per 1.73 m\n              <jats:sup>2<\/jats:sup>\n              ): n=3588, G3a (60&gt;eGFR\u226545 mL\/min per 1.73 m\n              <jats:sup>2<\/jats:sup>\n              ): n=1923, G3b (45&gt;eGFR\u226530 mL\/min per 1.73 m\n              <jats:sup>2<\/jats:sup>\n              ): n=1030, G4: (30&gt;eGFR\u226515 mL\/min per 1.73 m\n              <jats:sup>2<\/jats:sup>\n              ): n=473, G5a: (15&gt;eGFR\u22658 mL\/min per 1.73m\n              <jats:sup>2<\/jats:sup>\n              ): n=80, G5b: (eGFR&lt;8 mL\/min per 1.73 m\n              <jats:sup>2<\/jats:sup>\n              ): n=53 and hemodialysis: n=142. Percutaneous coronary intervention rates declined with advancing CKD, reaching the lowest in G5a (80.3%) but increasing again in G5b and hemodialysis groups (\u224890%). Thirty\u2010day all\u2010cause mortality rates increased with CKD severity, with a notable reduction in G5b (9.4%) before rising again in patients with hemodialysis (16.9%). Long\u2010term data showed a progressive worsening of prognosis with advanced CKD, culminating in the poorest outcomes among patients with hemodialysis.\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec id=\"jah311168-sec-0003\" xml:lang=\"en\">\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p xml:lang=\"en\">This study demonstrated differential impacts of CKD severity on short\u2010 and long\u2010term clinical outcomes in the context of patients with acute myocardial infarction.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/jaha.125.043005","type":"journal-article","created":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T01:11:19Z","timestamp":1751591479000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":3,"title":["Renal Function and its Time\u2010Sensitive Influence on Survival Rates of Acute Myocardial Infarction"],"prefix":"10.1161","volume":"14","author":[{"given":"Hirota","family":"Kida","sequence":"first","affiliation":[{"name":"Osaka University Graduate School of Medicine","place":["Suita, Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuki","family":"Matsuoka","sequence":"additional","affiliation":[{"name":"Osaka University Graduate School of Medicine","place":["Suita, Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7272-5266","authenticated-orcid":false,"given":"Daisuke","family":"Sakamoto","sequence":"additional","affiliation":[{"name":"Osaka University Graduate School of Medicine","place":["Suita, Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2284-1970","authenticated-orcid":false,"given":"Shungo","family":"Hikoso","sequence":"additional","affiliation":[{"name":"Osaka University Graduate School of Medicine","place":["Suita, 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