Biomarkers Enhance Discrimination and Prognosis of Type 2 Myocardial Infarction

Author:

Horiuchi Yu12,Wettersten Nicholas1ORCID,Patel Mitul P.1,Mueller Christian3ORCID,Neath Sean-Xavier1ORCID,Christenson Robert H.4,Morgenthaler Nils G.5,McCord James6,Nowak Richard M.6,Vilke Gary M.1,Daniels Lori B.1,Hollander Judd E.7,Apple Fred S.8ORCID,Cannon Chad M.9ORCID,Nagurney John T.10,Schreiber Donald11,deFilippi Christopher4,Hogan Christopher12,Diercks Deborah B.13ORCID,Headden Gary14,Limkakeng Alexander T.15,Anand Inder16,Wu Alan H.B.17,Ebmeyer Stefan18,Jaffe Allan S.19ORCID,Peacock W. Frank1,Maisel Alan1

Affiliation:

1. University of California, San Diego, La Jolla (Y.H., N.W., M.P.P., S.-X.N., G.M.V., L.B.D., A.M.).

2. Mitsui Memorial Hospital, Tokyo, Japan (Y.H.).

3. University Hospital Basel, Switzerland (C.M.).

4. University of Maryland School of Medicine, Baltimore (R.H.C., C.d.F.).

5. Charite, Campus Virchow-Klinikum, Berlin, Germany (N.G.M.).

6. Henry Ford Health System, Detroit, MI (J.M., R.M.N.).

7. Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, PA (J.E.H.).

8. Hennepin Healthcare/Hennepin County Medical Center and University of Minnesota, Minneapolis (F.S.A.).

9. University of Kansas Medical Center, Kansas City (C.M.C.).

10. Massachusetts General Hospital, Boston (J.T.N.).

11. Stanford University School of Medicine, Palo Alto, CA (D.S.).

12. Virginia Commonwealth University, Richmond (C.H.).

13. University of Texas Southwestern Medical Center, Dallas (D.B.D.).

14. Medical University of South Carolina, Charleston (G.H.).

15. Duke University Medical Center, Durham, NC (A.T.L.).

16. University of Minnesota and VA Medical Center, Minneapolis (I.A.).

17. University of California, San Francisco (A.H.B.W.).

18. Thermo Scientific Biomarkers, Thermo Fisher Scientific/BRAHMS GmbH, Hennigsdorf/Berlin, Germany (S.E.).

19. Mayo Clinic, Rochester, MN (A.S.J.).

Abstract

Background: The observed incidence of type 2 myocardial infarction (T2MI) is expected to increase with the implementation of increasingly sensitive cTn assays. However, it remains to be determined how to diagnose, risk-stratify, and treat patients with T2MI. We aimed to discriminate and risk-stratify T2MI using biomarkers. Methods: Patients presenting to the emergency department with chest pain, enrolled in the CHOPIN study (Copeptin Helps in the early detection Of Patients with acute myocardial INfarction), were retrospectively analyzed. Two cardiologists adjudicated type 1 MI (T1MI) and T2MI. The prognostic ability of several biomarkers alone or in combination to discriminate T2MI from T1MI was investigated using receiver operating characteristic curve analysis. The biomarkers analyzed were cTnI, copeptin, MR-proANP (midregional proatrial natriuretic peptide), CT-proET1 (C-terminal proendothelin-1), MR-proADM (midregional proadrenomedullin), and procalcitonin. The prognostic utility of these biomarkers for all-cause mortality and major adverse cardiovascular event (a composite of acute myocardial infarction, unstable angina pectoris, reinfarction, heart failure, and stroke) at 180-day follow-up was also investigated. Results: Among the 2071 patients, T1MI and T2MI were adjudicated in 94 and 176 patients, respectively. Patients with T1MI had higher levels of baseline cTnI, whereas those with T2MI had higher baseline levels of MR-proANP, CT-proET1, MR-proADM, and procalcitonin. The area under the receiver operating characteristic curve for the diagnosis of T2MI was higher for CT-proET1, MR-proADM, and MR-proANP (0.765, 0.750, and 0.733, respectively) than for cTnI (0.631). Combining all biomarkers resulted in a similar accuracy to a model using clinical variables and cTnI (0.854 versus 0.884, P =0.294). Addition of biomarkers to the clinical model yielded the highest area under the receiver operating characteristic curve (0.917). Other biomarkers, but not cTnI, were associated with mortality and major adverse cardiovascular event at 180 days among all patients, with no interaction between the diagnosis of T1MI or T2MI. Conclusions: Assessment of biomarkers reflecting pathophysiologic processes occurring with T2MI might help differentiate it from T1MI. All biomarkers measured, except cTnI, were significant predictors of prognosis, regardless of the type of myocardial infarction.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3