{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:13:52Z","timestamp":1760235232277,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,7,30]],"date-time":"2021-07-30T00:00:00Z","timestamp":1627603200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nutrients"],"abstract":"<jats:p>Background: Clinical characteristics of nutrition status in acute myocardial infarction (AMI) patients with cancer remains unknown. Therefore, this study aimed to clarify the differences of clinical parameters, including nutrition status, between AMI patients with and without history of cancer. Methods and Results: This retrospective cohort study, using the database of AMI between 2014 and 2019 in Kurume University Hospital, enrolled 411 patients; AMI patients without cancer (n = 358, 87.1%) and with cancer (n = 53, 12.9%). AMI patients with cancer were significantly older with lower body weight, worse renal function, and worse nutrition status. Next, we divided the patients into 4 groups by cancer, age, and plaque area, detected by coronary image devices. The prediction model indicated that nutrition, lipid, and renal functions were significant predictors of AMI with cancer. The ordinal logistic regression model revealed that worse nutrition status, renal dysfunction, lower uric acid, and elevated blood pressure were significant predictors. Finally, we were able to calculate the probability of the presence of cancer, by combining each factor and scoring. Conclusions: Worse nutrition status and renal dysfunction were associated with AMI with cancer, in which nutrition status was a major different characteristic from those without cancer.<\/jats:p>","DOI":"10.3390\/nu13082663","type":"journal-article","created":{"date-parts":[[2021,8,1]],"date-time":"2021-08-01T21:44:32Z","timestamp":1627854272000},"page":"2663","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Nutrition Status and Renal Function as Predictors in Acute Myocardial Infarction with and without Cancer: A Single Center Retrospective Study"],"prefix":"10.3390","volume":"13","author":[{"given":"Naoki","family":"Itaya","sequence":"first","affiliation":[{"name":"Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ako","family":"Fukami","sequence":"additional","affiliation":[{"name":"Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatsuyuki","family":"Kakuma","sequence":"additional","affiliation":[{"name":"Biostatistics Center, Kurume University, Kurume 830-0011, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshihiro","family":"Fukumoto","sequence":"additional","affiliation":[{"name":"Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume 830-0011, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1161\/CIRCULATIONAHA.117.029870","article-title":"Acute Coronary Syndromes: The Way Forward From Mechanisms to Precision Treatment","volume":"136","author":"Crea","year":"2017","journal-title":"Circulation"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/s41572-019-0106-z","article-title":"Atherosclerosis","volume":"5","author":"Libby","year":"2019","journal-title":"Nat. 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