1
|
Kimenai DM, Shah ASV, McAllister DA, Lee KK, Tsanas A, Meex SJR, Porteous DJ, Hayward C, Campbell A, Sattar N, Mills NL, Welsh P. Sex Differences in Cardiac Troponin I and T and the Prediction of Cardiovascular Events in the General Population. Clin Chem 2021; 67:1351-1360. [PMID: 34240125 PMCID: PMC8486023 DOI: 10.1093/clinchem/hvab109] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 05/12/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND Cardiac troponin concentrations differ in women and men, but how this influences risk prediction and whether a sex-specific approach is required is unclear. We evaluated whether sex influences the predictive ability of cardiac troponin I and T for cardiovascular events in the general population. METHODS High-sensitivity cardiac troponin (hs-cTn) I and T were measured in the Generation Scotland Scottish Family Health Study of randomly selected volunteers drawn from the general population between 2006 and 2011. Cox-regression models evaluated associations between hs-cTnI and hs-cTnT and the primary outcome of cardiovascular death, myocardial infarction, or stroke. RESULTS In 19 501 (58% women, mean age 47 years) participants, the primary outcome occurred in 2.7% (306/11 375) of women and 5.1% (411/8126) of men during the median follow-up period of 7.9 (IQR, 7.1-9.2) years. Cardiac troponin I and T concentrations were lower in women than men (P < 0.001 for both), and both were more strongly associated with cardiovascular events in women than men. For example, at a hs-cTnI concentration of 10 ng/L, the hazard ratio relative to the limit of blank was 9.7 (95% CI 7.6-12.4) and 5.6 (95% CI 4.7-6.6) for women and men, respectively. The hazard ratio for hs-cTnT at a concentration of 10 ng/L relative to the limit of blank was 3.7 (95% CI 3.1-4.3) and 2.2 (95% CI 2.0-2.5) for women and men, respectively. CONCLUSIONS Cardiac troponin concentrations differ in women and men and are stronger predictors of cardiovascular events in women. Sex-specific approaches are required to provide equivalent risk prediction.
Collapse
Affiliation(s)
| | - Anoop S V Shah
- Usher Institute, University of Edinburgh, Edinburgh, UK
- BHF Centre for Cardiovascular Science, University of Edinburgh, UK
| | | | - Kuan Ken Lee
- BHF Centre for Cardiovascular Science, University of Edinburgh, UK
| | | | - Steven J R Meex
- Central Diagnostic Laboratory, Maastricht University Medical Center, Maastricht, the Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - David J Porteous
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Caroline Hayward
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Archie Campbell
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| | - Nicholas L Mills
- Usher Institute, University of Edinburgh, Edinburgh, UK
- BHF Centre for Cardiovascular Science, University of Edinburgh, UK
| | - Paul Welsh
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, UK
| |
Collapse
|
2
|
Nguyên UC, Maffessanti F, Mafi-Rad M, Conte G, Zeemering S, Regoli F, Caputo ML, van Stipdonk AMW, Bekkers SCAM, Suerder D, Moccetti T, Krause R, Prinzen FW, Vernooy K, Auricchio A. Evaluation of the use of unipolar voltage amplitudes for detection of myocardial scar assessed by cardiac magnetic resonance imaging in heart failure patients. PLoS One 2017; 12:e0180637. [PMID: 28678875 PMCID: PMC5498065 DOI: 10.1371/journal.pone.0180637] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2017] [Accepted: 06/19/2017] [Indexed: 11/23/2022] Open
Abstract
Background Validation of voltage-based scar delineation has been limited to small populations using mainly endocardial measurements. The aim of this study is to compare unipolar voltage amplitudes (UnipV) with scar on delayed enhancement cardiac magnetic resonance imaging (DE-CMR). Methods Heart failure patients who underwent DE-CMR and electro-anatomic mapping were included. Thirty-three endocardial mapped patients and 27 epicardial mapped patients were investigated. UnipV were computed peak-to-peak. Electrograms were matched with scar extent of the corresponding DE-CMR segment using a 16-segment/slice model. Non-scar was defined as 0% scar, while scar was defined as 1–100% scar extent. Results UnipVs were moderately lower in scar than in non-scar (endocardial 7.1 [4.6–10.6] vs. 10.3 [7.4–14.2] mV; epicardial 6.7 [3.6–10.5] vs. 7.8 [4.2–12.3] mV; both p<0.001). The correlation between UnipV and scar extent was moderate for endocardial (R = -0.33, p<0.001), and poor for epicardial measurements (R = -0.07, p<0.001). Endocardial UnipV predicted segments with >25%, >50% and >75% scar extent with AUCs of 0.72, 0.73 and 0.76, respectively, while epicardial UnipV were poor scar predictors, independent of scar burden (AUC = 0.47–0.56). UnipV in non-scar varied widely between patients (p<0.001) and were lower in scar compared to non-scar in only 9/22 (41%) endocardial mapped patients and 4/19 (21%) epicardial mapped patients with scar. Conclusion UnipV are slightly lower in scar compared to non-scar. However, significant UnipV differences between and within patients and large overlap between non-scar and scar limits the reliability of accurate scar assessment, especially in epicardial measurements and in segments with less than 75% scar extent.
Collapse
Affiliation(s)
- Uyên Châu Nguyên
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
- Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands
- Center for Computational Medicine in Cardiology, Institute of Computational Science, Università della Svizzera italiana, Lugano, Switzerland
- * E-mail:
| | - Francesco Maffessanti
- Center for Computational Medicine in Cardiology, Institute of Computational Science, Università della Svizzera italiana, Lugano, Switzerland
| | - Masih Mafi-Rad
- Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Giulio Conte
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Stef Zeemering
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
| | - François Regoli
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Maria Luce Caputo
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | | | | | - Daniel Suerder
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Tiziano Moccetti
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| | - Rolf Krause
- Center for Computational Medicine in Cardiology, Institute of Computational Science, Università della Svizzera italiana, Lugano, Switzerland
| | - Frits W. Prinzen
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
- Center for Computational Medicine in Cardiology, Institute of Computational Science, Università della Svizzera italiana, Lugano, Switzerland
| | - Kevin Vernooy
- Department of Physiology, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
- Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Angelo Auricchio
- Center for Computational Medicine in Cardiology, Institute of Computational Science, Università della Svizzera italiana, Lugano, Switzerland
- Department of Cardiology, Fondazione Cardiocentro Ticino, Lugano, Switzerland
| |
Collapse
|