{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T15:34:47Z","timestamp":1783092887541,"version":"3.54.6"},"reference-count":38,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"6","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circ: Cardiovascular Interventions"],"published-print":{"date-parts":[[2015,6]]},"abstract":"<jats:sec>\n            <jats:title>Background\u2014<\/jats:title>\n            <jats:p>Acute kidney injury (AKI) post percutaneous coronary intervention (PCI) is associated with increased mortality but both death and AKI share common risk factors. Moreover, the effect of a high contrast dose, a known modifiable risk factor for AKI, on mortality is unknown. The aim of our study was to analyze the association between AKI and in-hospital mortality post PCI after adjustment for confounding by common risk factors.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods and Results\u2014<\/jats:title>\n            <jats:p>This study was performed using a regional registry of all patients undergoing PCI in Michigan. Primary end points were AKI (serum creatinine increase &gt;0.5 mg\/dL) and all-cause in-hospital mortality. Propensity matching was performed, with each AKI patient matched to 4 controls. Attributable risk fraction and the exposed index number of AKI for mortality were calculated within the propensity-matched cohort. Between 2010 and 2013, 92\u2009317 patients underwent PCI, of whom 2141 (2.3%) developed AKI. We matched 1371\/2141 patients with AKI to 5484 controls. AKI was strongly associated with mortality (odds ratio=12.52, 95% confidence interval 9.29\u201316.86) in the propensity-matched cohort. The attributable risk fraction for mortality of AKI was 31.4% (95% confidence interval 26.8%\u201337.5%), and one death could be prevented for every 9 cases of AKI successfully avoided. The independent impact of a high contrast dose at time of PCI on in-hospital mortality risk was weak (adjusted odds ratio 1.19, 95% confidence interval 0.97\u20131.45).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions\u2014<\/jats:title>\n            <jats:p>Nearly one-third of the in-hospital mortality post PCI is attributable to AKI. Preventing 9 cases of AKI could potentially prevent one death. These study findings stress the need for developing effective AKI preventive strategies beyond minimization of contrast dose.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1161\/circinterventions.114.002212","type":"journal-article","created":{"date-parts":[[2015,6,6]],"date-time":"2015-06-06T03:07:50Z","timestamp":1433560070000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":62,"title":["Association Between Acute Kidney Injury and In-Hospital Mortality in Patients Undergoing Percutaneous Coronary Interventions"],"prefix":"10.1161","volume":"8","author":[{"given":"Judith","family":"Kooiman","sequence":"first","affiliation":[{"name":"From the Department of Thrombosis and Hemostasis and Department of Nephrology, Leiden University Medical Center, The Netherlands (J.K.); Division of Cardiovascular Medicine (M.S., B.K.N., H.S.G.) and Division of Nephrology (M.H., D.H.), Department of Internal Medicine, University of Michigan, Ann Arbor, MI; and VA Ann Arbor Healthcare System, MI (B.K.N., H.S.G.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Milan","family":"Seth","sequence":"additional","affiliation":[{"name":"From the Department of Thrombosis and Hemostasis and Department of Nephrology, Leiden University Medical Center, The Netherlands (J.K.); Division of Cardiovascular Medicine (M.S., B.K.N., H.S.G.) and Division of Nephrology (M.H., D.H.), Department of Internal Medicine, University of Michigan, Ann Arbor, MI; and VA Ann Arbor Healthcare System, MI (B.K.N., H.S.G.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brahmajee K.","family":"Nallamothu","sequence":"additional","affiliation":[{"name":"From the Department of Thrombosis and Hemostasis and Department of Nephrology, Leiden University Medical Center, The Netherlands (J.K.); Division of Cardiovascular Medicine (M.S., B.K.N., H.S.G.) and Division of Nephrology (M.H., D.H.), Department of Internal Medicine, University of Michigan, Ann Arbor, MI; and VA Ann Arbor Healthcare System, MI (B.K.N., H.S.G.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Heung","sequence":"additional","affiliation":[{"name":"From the Department of Thrombosis and Hemostasis and Department of Nephrology, Leiden University Medical Center, The Netherlands (J.K.); Division of Cardiovascular Medicine (M.S., B.K.N., H.S.G.) and Division of Nephrology (M.H., D.H.), Department of Internal Medicine, University of Michigan, Ann Arbor, MI; and VA Ann Arbor Healthcare System, MI (B.K.N., H.S.G.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Humes","sequence":"additional","affiliation":[{"name":"From the Department of Thrombosis and Hemostasis and Department of Nephrology, Leiden University Medical Center, The Netherlands (J.K.); Division of Cardiovascular Medicine (M.S., B.K.N., H.S.G.) and Division of Nephrology (M.H., D.H.), Department of Internal Medicine, University of Michigan, Ann Arbor, MI; and VA Ann Arbor Healthcare System, MI (B.K.N., H.S.G.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hitinder S.","family":"Gurm","sequence":"additional","affiliation":[{"name":"From the Department of Thrombosis and Hemostasis and Department of Nephrology, Leiden University Medical Center, The Netherlands (J.K.); Division of Cardiovascular Medicine (M.S., B.K.N., H.S.G.) and Division of Nephrology (M.H., D.H.), Department of Internal Medicine, University of Michigan, Ann Arbor, MI; and VA Ann Arbor Healthcare System, MI (B.K.N., H.S.G.)."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1002\/ccd.20316"},{"key":"e_1_3_4_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2006.01.022"},{"key":"e_1_3_4_4_2","doi-asserted-by":"publisher","DOI":"10.1136\/hrt.2010.218677"},{"key":"e_1_3_4_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2004.03.008"},{"key":"e_1_3_4_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2007.09.053"},{"key":"e_1_3_4_7_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-8183.2002.tb01072.x"},{"key":"e_1_3_4_8_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.105.541995"},{"key":"e_1_3_4_9_2","first-page":"A0828","article-title":"Simplified equation to predict glomerular filtration rate from serum creatinine.","volume":"11","author":"Levey AS","year":"2000","unstructured":"Levey AS, Greene T, Kusek JW, Beck GJ. 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