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Impact of the Charlson Comorbidity Index score on risk prediction by single-photon emission computed tomography myocardial perfusion imaging following myocardial infarction

Authors Schelde AB, Schmidt M, Madsen M, Nielsen SS, Frøkiær J, Christiansen CF

Received 8 April 2019

Accepted for publication 25 June 2019

Published 25 September 2019 Volume 2019:11 Pages 901—910

DOI https://doi.org/10.2147/CLEP.S211555

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Professor Irene Petersen


Astrid Blicher Schelde,1 Morten Schmidt,1,2 Morten Madsen,1 Søren Steen Nielsen,3 Jørgen Frøkiær,4,5 Christian Fynbo Christiansen1

1Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 2Department of Cardiology, Regional Hospital West Jutland, Herning, Denmark; 3Department of Clinical Physiology and Nuclear Medicine, Aalborg University Hospital, Aalborg, Denmark; 4Department of Nuclear Medicine, Aarhus University Hospital, Skejby, Denmark; 5Department of Clinical Medicine, Aarhus University, Aarhus, Denmark

Correspondence: Astrid Blicher Schelde
Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark
Tel +45 8716 7212
Email astridblicher@hotmail.com

Background: Comorbidity is common among patients with myocardial infarction (MI). We examined whether comorbidity level modified the single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI)-based prediction of 5-year risk of MI and all-cause death in patients with MI.
Methods: This cohort study included patients with prior MI having a SPECT MPI at Aarhus University Hospital, Denmark, 1999–2011. Using nationwide registries, we obtained information on comorbidity levels (low, moderate, and severe) and outcomes. We computed risk and hazard ratios (HRs) with 95% confidence intervals (CIs) for MI and all-cause death, comparing normal (no defects) versus abnormal scan (reversible and/or fixed defects) using Cox regression adjusting for sex, age, and comorbidity level.
Results: We identified 1,192 patients with MI before SPECT MPI. The 5-year risk for patients with normal versus abnormal scans were 11.7% versus 18.3% for MI, and 8.0% versus 13.2% for all-cause death, respectively. The overall 5-year adjusted HR (aHR) of MI was 1.56 (95% CI: 1.09–2.21), 1.33 (95% CI: 0.82–2.15) with low comorbidity, 1.39 (95% CI: 0.68–2.83) with moderate comorbidity, and 2.53 (95% CI: 1.14–5.62) with severe comorbidity. Similarly, the 5-year aHR for all-cause death was 1.39 (95% CI: 0.90–2.14) overall; 2.33 (95% CI: 0.79–6.84) with low comorbidity, 2.05 (95% CI: 0.69–6.06) with moderate comorbidity, and 1.07 (95% CI: 0.64–1.80) with severe comorbidity.
Conclusion: We conclude that comorbidity level may modify the 5-year risk prediction associated with an abnormal SPECT MPI scan in patients with previous MI.

Keywords: comorbidity, epidemiology, myocardial infarction, myocardial perfusion imaging

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