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The impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging

BACKGROUND: Patients with prediabetes or diabetes are at increased risk of developing cardiovascular disease and adverse outcomes. First-line coronary computed tomography angiography (CTA) followed by selective use of positron emission tomography (PET) myocardial perfusion imaging is a feasible stra...

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Autores principales: Mäenpää, Matias, Kujala, Iida, Harjulahti, Esa, Stenström, Iida, Nammas, Wail, Knuuti, Juhani, Saraste, Antti, Maaniitty, Teemu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230727/
https://www.ncbi.nlm.nih.gov/pubmed/37254111
http://dx.doi.org/10.1186/s12933-023-01850-3
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author Mäenpää, Matias
Kujala, Iida
Harjulahti, Esa
Stenström, Iida
Nammas, Wail
Knuuti, Juhani
Saraste, Antti
Maaniitty, Teemu
author_facet Mäenpää, Matias
Kujala, Iida
Harjulahti, Esa
Stenström, Iida
Nammas, Wail
Knuuti, Juhani
Saraste, Antti
Maaniitty, Teemu
author_sort Mäenpää, Matias
collection PubMed
description BACKGROUND: Patients with prediabetes or diabetes are at increased risk of developing cardiovascular disease and adverse outcomes. First-line coronary computed tomography angiography (CTA) followed by selective use of positron emission tomography (PET) myocardial perfusion imaging is a feasible strategy to diagnose and risk-stratify patients with suspected coronary artery disease (CAD). The aim of the present study was to study whether diabetes changes the relationship of CAD and long-term outcome. METHODS: We retrospectively identified consecutive symptomatic patients who underwent coronary CTA for suspected CAD. In patients with suspected obstructive CAD on CTA, myocardial ischemia was evaluated by (15)O-water PET myocardial perfusion imaging. The relationship of the phenotype of CAD and long-term outcome in patients with no diabetes, prediabetes, or type 2 diabetes was investigated. A composite endpoint included all-cause mortality, myocardial infarction (MI), and unstable angina pectoris (UAP). RESULTS: A total of 1743 patients were included: 1214 (70%) non-diabetic, 259 (15%) prediabetic, and 270 (16%) type 2 diabetic patients. During 6.43 years of median follow-up, 164 adverse events occurred (106 deaths, 41 MIs, 17 UAPs). The prevalence of normal coronary arteries on CTA was highest in the non-diabetic patients (39%). The prevalence of hemodynamically significant CAD (abnormal perfusion) increased from 14% in non-diabetic patients to 20% in prediabetic and 27% in diabetic patients. The event rate was lowest in patients with normal coronary arteries and highest in patients with concomitant type 2 diabetes and hemodynamically significant CAD (annual event rate 0.2% vs. 4.7%). However, neither prediabetes nor diabetes were independent predictors of the composite adverse outcome after adjustment for the clinical risk factors and imaging findings. CONCLUSIONS: Coronary CTA followed by selective downstream use of PET myocardial perfusion imaging predicts long-term outcome similarly in non-diabetic and diabetic patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01850-3.
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spelling pubmed-102307272023-06-01 The impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging Mäenpää, Matias Kujala, Iida Harjulahti, Esa Stenström, Iida Nammas, Wail Knuuti, Juhani Saraste, Antti Maaniitty, Teemu Cardiovasc Diabetol Research BACKGROUND: Patients with prediabetes or diabetes are at increased risk of developing cardiovascular disease and adverse outcomes. First-line coronary computed tomography angiography (CTA) followed by selective use of positron emission tomography (PET) myocardial perfusion imaging is a feasible strategy to diagnose and risk-stratify patients with suspected coronary artery disease (CAD). The aim of the present study was to study whether diabetes changes the relationship of CAD and long-term outcome. METHODS: We retrospectively identified consecutive symptomatic patients who underwent coronary CTA for suspected CAD. In patients with suspected obstructive CAD on CTA, myocardial ischemia was evaluated by (15)O-water PET myocardial perfusion imaging. The relationship of the phenotype of CAD and long-term outcome in patients with no diabetes, prediabetes, or type 2 diabetes was investigated. A composite endpoint included all-cause mortality, myocardial infarction (MI), and unstable angina pectoris (UAP). RESULTS: A total of 1743 patients were included: 1214 (70%) non-diabetic, 259 (15%) prediabetic, and 270 (16%) type 2 diabetic patients. During 6.43 years of median follow-up, 164 adverse events occurred (106 deaths, 41 MIs, 17 UAPs). The prevalence of normal coronary arteries on CTA was highest in the non-diabetic patients (39%). The prevalence of hemodynamically significant CAD (abnormal perfusion) increased from 14% in non-diabetic patients to 20% in prediabetic and 27% in diabetic patients. The event rate was lowest in patients with normal coronary arteries and highest in patients with concomitant type 2 diabetes and hemodynamically significant CAD (annual event rate 0.2% vs. 4.7%). However, neither prediabetes nor diabetes were independent predictors of the composite adverse outcome after adjustment for the clinical risk factors and imaging findings. CONCLUSIONS: Coronary CTA followed by selective downstream use of PET myocardial perfusion imaging predicts long-term outcome similarly in non-diabetic and diabetic patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01850-3. BioMed Central 2023-05-31 /pmc/articles/PMC10230727/ /pubmed/37254111 http://dx.doi.org/10.1186/s12933-023-01850-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mäenpää, Matias
Kujala, Iida
Harjulahti, Esa
Stenström, Iida
Nammas, Wail
Knuuti, Juhani
Saraste, Antti
Maaniitty, Teemu
The impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging
title The impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging
title_full The impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging
title_fullStr The impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging
title_full_unstemmed The impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging
title_short The impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging
title_sort impact of diabetes on the relationship of coronary artery disease and outcome: a study using multimodality imaging
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230727/
https://www.ncbi.nlm.nih.gov/pubmed/37254111
http://dx.doi.org/10.1186/s12933-023-01850-3
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