Cargando…

Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease

BACKGROUND: Current noninvasive modalities to diagnose coronary artery disease (CAD) have several limitations. We sought to derive and externally validate a hs‐cTn (high‐sensitivity cardiac troponin)–based proteomic model to diagnose obstructive coronary artery disease. METHODS AND RESULTS: In a der...

Descripción completa

Detalles Bibliográficos
Autores principales: McCarthy, Cian P., Neumann, Johannes T., Michelhaugh, Sam A., Ibrahim, Nasrien E., Gaggin, Hanna K., Sörensen, Nils A., Schäefer, Sarina, Zeller, Tanja, Magaret, Craig A., Barnes, Grady, Rhyne, Rhonda F., Westermann, Dirk, Januzzi, James L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660799/
https://www.ncbi.nlm.nih.gov/pubmed/32757795
http://dx.doi.org/10.1161/JAHA.120.017221
_version_ 1783609084448079872
author McCarthy, Cian P.
Neumann, Johannes T.
Michelhaugh, Sam A.
Ibrahim, Nasrien E.
Gaggin, Hanna K.
Sörensen, Nils A.
Schäefer, Sarina
Zeller, Tanja
Magaret, Craig A.
Barnes, Grady
Rhyne, Rhonda F.
Westermann, Dirk
Januzzi, James L.
author_facet McCarthy, Cian P.
Neumann, Johannes T.
Michelhaugh, Sam A.
Ibrahim, Nasrien E.
Gaggin, Hanna K.
Sörensen, Nils A.
Schäefer, Sarina
Zeller, Tanja
Magaret, Craig A.
Barnes, Grady
Rhyne, Rhonda F.
Westermann, Dirk
Januzzi, James L.
author_sort McCarthy, Cian P.
collection PubMed
description BACKGROUND: Current noninvasive modalities to diagnose coronary artery disease (CAD) have several limitations. We sought to derive and externally validate a hs‐cTn (high‐sensitivity cardiac troponin)–based proteomic model to diagnose obstructive coronary artery disease. METHODS AND RESULTS: In a derivation cohort of 636 patients referred for coronary angiography, predictors of ≥70% coronary stenosis were identified from 6 clinical variables and 109 biomarkers. The final model was first internally validated on a separate cohort (n=275) and then externally validated on a cohort of 241 patients presenting to the ED with suspected acute myocardial infarction where ≥50% coronary stenosis was considered significant. The resulting model consisted of 3 clinical variables (male sex, age, and previous percutaneous coronary intervention) and 3 biomarkers (hs‐cTnI [high‐sensitivity cardiac troponin I], adiponectin, and kidney injury molecule‐1). In the internal validation cohort, the model yielded an area under the receiver operating characteristic curve of 0.85 for coronary stenosis ≥70% (P<0.001). At the optimal cutoff, we observed 80% sensitivity, 71% specificity, a positive predictive value of 83%, and negative predictive value of 66% for ≥70% stenosis. Partitioning the score result into 5 levels resulted in a positive predictive value of 97% and a negative predictive value of 89% at the highest and lowest levels, respectively. In the external validation cohort, the score performed similarly well. Notably, in patients who had myocardial infarction neither ruled in nor ruled out via hs‐cTnI testing (“indeterminate zone,” n=65), the score had an area under the receiver operating characteristic curve of 0.88 (P<0.001). CONCLUSIONS: A model including hs‐cTnI can predict the presence of obstructive coronary artery disease with high accuracy including in those with indeterminate hs‐cTnI concentrations.
format Online
Article
Text
id pubmed-7660799
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-76607992020-11-17 Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease McCarthy, Cian P. Neumann, Johannes T. Michelhaugh, Sam A. Ibrahim, Nasrien E. Gaggin, Hanna K. Sörensen, Nils A. Schäefer, Sarina Zeller, Tanja Magaret, Craig A. Barnes, Grady Rhyne, Rhonda F. Westermann, Dirk Januzzi, James L. J Am Heart Assoc Original Research BACKGROUND: Current noninvasive modalities to diagnose coronary artery disease (CAD) have several limitations. We sought to derive and externally validate a hs‐cTn (high‐sensitivity cardiac troponin)–based proteomic model to diagnose obstructive coronary artery disease. METHODS AND RESULTS: In a derivation cohort of 636 patients referred for coronary angiography, predictors of ≥70% coronary stenosis were identified from 6 clinical variables and 109 biomarkers. The final model was first internally validated on a separate cohort (n=275) and then externally validated on a cohort of 241 patients presenting to the ED with suspected acute myocardial infarction where ≥50% coronary stenosis was considered significant. The resulting model consisted of 3 clinical variables (male sex, age, and previous percutaneous coronary intervention) and 3 biomarkers (hs‐cTnI [high‐sensitivity cardiac troponin I], adiponectin, and kidney injury molecule‐1). In the internal validation cohort, the model yielded an area under the receiver operating characteristic curve of 0.85 for coronary stenosis ≥70% (P<0.001). At the optimal cutoff, we observed 80% sensitivity, 71% specificity, a positive predictive value of 83%, and negative predictive value of 66% for ≥70% stenosis. Partitioning the score result into 5 levels resulted in a positive predictive value of 97% and a negative predictive value of 89% at the highest and lowest levels, respectively. In the external validation cohort, the score performed similarly well. Notably, in patients who had myocardial infarction neither ruled in nor ruled out via hs‐cTnI testing (“indeterminate zone,” n=65), the score had an area under the receiver operating characteristic curve of 0.88 (P<0.001). CONCLUSIONS: A model including hs‐cTnI can predict the presence of obstructive coronary artery disease with high accuracy including in those with indeterminate hs‐cTnI concentrations. John Wiley and Sons Inc. 2020-08-06 /pmc/articles/PMC7660799/ /pubmed/32757795 http://dx.doi.org/10.1161/JAHA.120.017221 Text en © 2020 The Authors and Prevencio Inc. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
McCarthy, Cian P.
Neumann, Johannes T.
Michelhaugh, Sam A.
Ibrahim, Nasrien E.
Gaggin, Hanna K.
Sörensen, Nils A.
Schäefer, Sarina
Zeller, Tanja
Magaret, Craig A.
Barnes, Grady
Rhyne, Rhonda F.
Westermann, Dirk
Januzzi, James L.
Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease
title Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease
title_full Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease
title_fullStr Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease
title_full_unstemmed Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease
title_short Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease
title_sort derivation and external validation of a high‐sensitivity cardiac troponin–based proteomic model to predict the presence of obstructive coronary artery disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660799/
https://www.ncbi.nlm.nih.gov/pubmed/32757795
http://dx.doi.org/10.1161/JAHA.120.017221
work_keys_str_mv AT mccarthycianp derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT neumannjohannest derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT michelhaughsama derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT ibrahimnasriene derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT gagginhannak derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT sorensennilsa derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT schaefersarina derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT zellertanja derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT magaretcraiga derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT barnesgrady derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT rhynerhondaf derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT westermanndirk derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease
AT januzzijamesl derivationandexternalvalidationofahighsensitivitycardiactroponinbasedproteomicmodeltopredictthepresenceofobstructivecoronaryarterydisease