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High Uric Acid Levels in Acute Myocardial Infarction Provide Better Long-Term Prognosis Predictive Power When Combined with Traditional Risk Factors

The current study aimed to investigate the association between serum UA levels and the mortality rate of AMI patients. We analyzed 5888 patients with successfully revascularized AMI (mean age: 64.0 ± 12.7 years). The subjects were divided into the high UA group (uric acid >6.5 mg/dL for males, &g...

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Autores principales: Kim, Soohyun, Hwang, Byung-Hee, Lee, Kwan Yong, Kim, Chan Jun, Choo, Eun-Ho, Lim, Sungmin, Kim, Jin-Jin, Choi, Ik Jun, Park, Mahn-Won, Oh, Gyu Chul, Yoo, Ki Dong, Chung, Wook Sung, Ahn, Youngkeun, Jeong, Myung Ho, Chang, Kiyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573253/
https://www.ncbi.nlm.nih.gov/pubmed/36233397
http://dx.doi.org/10.3390/jcm11195531
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author Kim, Soohyun
Hwang, Byung-Hee
Lee, Kwan Yong
Kim, Chan Jun
Choo, Eun-Ho
Lim, Sungmin
Kim, Jin-Jin
Choi, Ik Jun
Park, Mahn-Won
Oh, Gyu Chul
Yoo, Ki Dong
Chung, Wook Sung
Ahn, Youngkeun
Jeong, Myung Ho
Chang, Kiyuk
author_facet Kim, Soohyun
Hwang, Byung-Hee
Lee, Kwan Yong
Kim, Chan Jun
Choo, Eun-Ho
Lim, Sungmin
Kim, Jin-Jin
Choi, Ik Jun
Park, Mahn-Won
Oh, Gyu Chul
Yoo, Ki Dong
Chung, Wook Sung
Ahn, Youngkeun
Jeong, Myung Ho
Chang, Kiyuk
author_sort Kim, Soohyun
collection PubMed
description The current study aimed to investigate the association between serum UA levels and the mortality rate of AMI patients. We analyzed 5888 patients with successfully revascularized AMI (mean age: 64.0 ± 12.7 years). The subjects were divided into the high UA group (uric acid >6.5 mg/dL for males, >5.8 mg/dL for females) or the normal UA group based on initial serum UA level measured at admission. The primary outcome was all-cause mortality. A total of 4141 (70.3%) and 1747 (29.7%) patients were classified into the normal UA group and high UA groups, respectively. Over a median follow-up of 5.02 (3.07, 7.55) years, 929 (21.5%) and 532 (34.1%) patients died in each group. Cox regression analysis identified high UA levels as an independent predictor of all-cause mortality (unadjusted hazard ratio (HR) 1.69 [95% CI 1.52–1.88]; p < 0.001, adjusted HR 1.18 [95% CI: 1.05–1.32]; p = 0.005). The results were consistent after propensity-score matching and inverse probability weighting to adjust for baseline differences. The predictive accuracies of conventional clinical factor discrimination and reclassification were significantly improved upon the addition of hyperuricemia (C-index 0.788 [95% CI 0.775–0.801]; p = 0.005, IDI 0.004 [95% CI 0.002–0.006]; p < 0.001, NRI 0.263 [95% CI 0.208–0.318]; p < 0.001).
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spelling pubmed-95732532022-10-17 High Uric Acid Levels in Acute Myocardial Infarction Provide Better Long-Term Prognosis Predictive Power When Combined with Traditional Risk Factors Kim, Soohyun Hwang, Byung-Hee Lee, Kwan Yong Kim, Chan Jun Choo, Eun-Ho Lim, Sungmin Kim, Jin-Jin Choi, Ik Jun Park, Mahn-Won Oh, Gyu Chul Yoo, Ki Dong Chung, Wook Sung Ahn, Youngkeun Jeong, Myung Ho Chang, Kiyuk J Clin Med Article The current study aimed to investigate the association between serum UA levels and the mortality rate of AMI patients. We analyzed 5888 patients with successfully revascularized AMI (mean age: 64.0 ± 12.7 years). The subjects were divided into the high UA group (uric acid >6.5 mg/dL for males, >5.8 mg/dL for females) or the normal UA group based on initial serum UA level measured at admission. The primary outcome was all-cause mortality. A total of 4141 (70.3%) and 1747 (29.7%) patients were classified into the normal UA group and high UA groups, respectively. Over a median follow-up of 5.02 (3.07, 7.55) years, 929 (21.5%) and 532 (34.1%) patients died in each group. Cox regression analysis identified high UA levels as an independent predictor of all-cause mortality (unadjusted hazard ratio (HR) 1.69 [95% CI 1.52–1.88]; p < 0.001, adjusted HR 1.18 [95% CI: 1.05–1.32]; p = 0.005). The results were consistent after propensity-score matching and inverse probability weighting to adjust for baseline differences. The predictive accuracies of conventional clinical factor discrimination and reclassification were significantly improved upon the addition of hyperuricemia (C-index 0.788 [95% CI 0.775–0.801]; p = 0.005, IDI 0.004 [95% CI 0.002–0.006]; p < 0.001, NRI 0.263 [95% CI 0.208–0.318]; p < 0.001). MDPI 2022-09-21 /pmc/articles/PMC9573253/ /pubmed/36233397 http://dx.doi.org/10.3390/jcm11195531 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Soohyun
Hwang, Byung-Hee
Lee, Kwan Yong
Kim, Chan Jun
Choo, Eun-Ho
Lim, Sungmin
Kim, Jin-Jin
Choi, Ik Jun
Park, Mahn-Won
Oh, Gyu Chul
Yoo, Ki Dong
Chung, Wook Sung
Ahn, Youngkeun
Jeong, Myung Ho
Chang, Kiyuk
High Uric Acid Levels in Acute Myocardial Infarction Provide Better Long-Term Prognosis Predictive Power When Combined with Traditional Risk Factors
title High Uric Acid Levels in Acute Myocardial Infarction Provide Better Long-Term Prognosis Predictive Power When Combined with Traditional Risk Factors
title_full High Uric Acid Levels in Acute Myocardial Infarction Provide Better Long-Term Prognosis Predictive Power When Combined with Traditional Risk Factors
title_fullStr High Uric Acid Levels in Acute Myocardial Infarction Provide Better Long-Term Prognosis Predictive Power When Combined with Traditional Risk Factors
title_full_unstemmed High Uric Acid Levels in Acute Myocardial Infarction Provide Better Long-Term Prognosis Predictive Power When Combined with Traditional Risk Factors
title_short High Uric Acid Levels in Acute Myocardial Infarction Provide Better Long-Term Prognosis Predictive Power When Combined with Traditional Risk Factors
title_sort high uric acid levels in acute myocardial infarction provide better long-term prognosis predictive power when combined with traditional risk factors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573253/
https://www.ncbi.nlm.nih.gov/pubmed/36233397
http://dx.doi.org/10.3390/jcm11195531
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