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Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease
BACKGROUND: Coronary artery disease (CAD) detection in asymptomatic patients still remains controversial. The aim of our study was to evaluate the usefulness of ophthalmologic findings as predictors of the presence of CAD when added to cardiovascular classic risk factors (CRF) in patients with acute...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185942/ https://www.ncbi.nlm.nih.gov/pubmed/35681222 http://dx.doi.org/10.1186/s12933-022-01538-0 |
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author | Romero-Trevejo, José Lorenzo Fernández-Romero, Lourdes Delgado, Josué Muñoz-García, Erika Sánchez-Pérez, Andrés Murri, Mora Gutiérrez-Bedmar, Mario Jiménez-Navarro, Manuel Francisco |
author_facet | Romero-Trevejo, José Lorenzo Fernández-Romero, Lourdes Delgado, Josué Muñoz-García, Erika Sánchez-Pérez, Andrés Murri, Mora Gutiérrez-Bedmar, Mario Jiménez-Navarro, Manuel Francisco |
author_sort | Romero-Trevejo, José Lorenzo |
collection | PubMed |
description | BACKGROUND: Coronary artery disease (CAD) detection in asymptomatic patients still remains controversial. The aim of our study was to evaluate the usefulness of ophthalmologic findings as predictors of the presence of CAD when added to cardiovascular classic risk factors (CRF) in patients with acute coronary cardiopathy suspicion. METHODS: After clinical stabilization, 96 patients with acute coronary cardiopathy suspicion were selected and divided in two groups: 69 patients with coronary lesions and 27 patients without coronary lesions. Their 192 eyes were subjected to a complete routine ophthalmologic examination. Samples of tear fluid were also collected to be used in the detection of cytokines and inflammatory mediators. Logistic regression models, receiver operating characteristic curves and their area under the curve (AUC) were analysed. RESULTS: Suggestive predictors were choroidal thickness (CT) (OR: 1.02, 95% CI 1.01–1.03) and tear granulocyte colony-stimulating factor (G-CSF) (OR: 0.97, 95% CI 0.95–0.99). We obtained an AUC of 0.9646 (95% CI 0.928–0.999) when CT and tear G-CSF were added as independent variables to the logistic regression model with cardiovascular CRF: sex, age, diabetes, high blood pressure, hypercholesterolemia, smoking habit and obesity. This AUC was significantly higher (p = 0.003) than the prediction derived from the same logistic regression model without CT and tear G-CSF (AUC = 0.828, 95% CI 0.729–0.927). CONCLUSIONS: CT and tear G-CSF improved the predictive model for CAD when added to cardiovascular CRF in our sample of symptomatic patients. Subsequent studies are needed for validation of these findings in asymptomatic patients. |
format | Online Article Text |
id | pubmed-9185942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91859422022-06-11 Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease Romero-Trevejo, José Lorenzo Fernández-Romero, Lourdes Delgado, Josué Muñoz-García, Erika Sánchez-Pérez, Andrés Murri, Mora Gutiérrez-Bedmar, Mario Jiménez-Navarro, Manuel Francisco Cardiovasc Diabetol Research BACKGROUND: Coronary artery disease (CAD) detection in asymptomatic patients still remains controversial. The aim of our study was to evaluate the usefulness of ophthalmologic findings as predictors of the presence of CAD when added to cardiovascular classic risk factors (CRF) in patients with acute coronary cardiopathy suspicion. METHODS: After clinical stabilization, 96 patients with acute coronary cardiopathy suspicion were selected and divided in two groups: 69 patients with coronary lesions and 27 patients without coronary lesions. Their 192 eyes were subjected to a complete routine ophthalmologic examination. Samples of tear fluid were also collected to be used in the detection of cytokines and inflammatory mediators. Logistic regression models, receiver operating characteristic curves and their area under the curve (AUC) were analysed. RESULTS: Suggestive predictors were choroidal thickness (CT) (OR: 1.02, 95% CI 1.01–1.03) and tear granulocyte colony-stimulating factor (G-CSF) (OR: 0.97, 95% CI 0.95–0.99). We obtained an AUC of 0.9646 (95% CI 0.928–0.999) when CT and tear G-CSF were added as independent variables to the logistic regression model with cardiovascular CRF: sex, age, diabetes, high blood pressure, hypercholesterolemia, smoking habit and obesity. This AUC was significantly higher (p = 0.003) than the prediction derived from the same logistic regression model without CT and tear G-CSF (AUC = 0.828, 95% CI 0.729–0.927). CONCLUSIONS: CT and tear G-CSF improved the predictive model for CAD when added to cardiovascular CRF in our sample of symptomatic patients. Subsequent studies are needed for validation of these findings in asymptomatic patients. BioMed Central 2022-06-09 /pmc/articles/PMC9185942/ /pubmed/35681222 http://dx.doi.org/10.1186/s12933-022-01538-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Romero-Trevejo, José Lorenzo Fernández-Romero, Lourdes Delgado, Josué Muñoz-García, Erika Sánchez-Pérez, Andrés Murri, Mora Gutiérrez-Bedmar, Mario Jiménez-Navarro, Manuel Francisco Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease |
title | Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease |
title_full | Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease |
title_fullStr | Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease |
title_full_unstemmed | Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease |
title_short | Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease |
title_sort | choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185942/ https://www.ncbi.nlm.nih.gov/pubmed/35681222 http://dx.doi.org/10.1186/s12933-022-01538-0 |
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