Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease.

Autor: Romero-Trevejo JL; Department of Ophthalmology, Virgen de la Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain.; Department of Medicine and Dermatology. School of Medicine, University of Malaga, Campus de Teatinos, s/n. 29010, Malaga, Spain.; Malaga Biomedical Research Institute-IBIMA, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain., Fernández-Romero L; Malaga Biomedical Research Institute-IBIMA, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain., Delgado J; Malaga Biomedical Research Institute-IBIMA, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain.; Department of Heart and Cardiovascular Pathology, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain.; CIBERCV Cardiovascular Diseases, Carlos III Health Institute, Madrid, Spain., Muñoz-García E; Malaga Biomedical Research Institute-IBIMA, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain.; Department of Heart and Cardiovascular Pathology, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain.; CIBERCV Cardiovascular Diseases, Carlos III Health Institute, Madrid, Spain., Sánchez-Pérez A; Malaga Biomedical Research Institute-IBIMA, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain.; Department of Heart and Cardiovascular Pathology, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain., Murri M; Malaga Biomedical Research Institute-IBIMA, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain.; CIBEROBN Obesity and Nutrition, Carlos III Health Institute, Madrid, Spain., Gutiérrez-Bedmar M; Malaga Biomedical Research Institute-IBIMA, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain. bedmar@uma.es.; CIBERCV Cardiovascular Diseases, Carlos III Health Institute, Madrid, Spain. bedmar@uma.es.; Department of Preventive Medicine and Public Health. School of Medicine, University of Malaga, Campus de Teatinos, s/n. 29010, Malaga, Spain. bedmar@uma.es., Jiménez-Navarro MF; Department of Medicine and Dermatology. School of Medicine, University of Malaga, Campus de Teatinos, s/n. 29010, Malaga, Spain. mjimeneznavarro@gmail.com.; Malaga Biomedical Research Institute-IBIMA, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain. mjimeneznavarro@gmail.com.; Department of Heart and Cardiovascular Pathology, Virgen de La Victoria University Hospital, Campus de Teatinos, s/n. 29010, Malaga, Spain. mjimeneznavarro@gmail.com.; CIBERCV Cardiovascular Diseases, Carlos III Health Institute, Madrid, Spain. mjimeneznavarro@gmail.com.
Jazyk: angličtina
Zdroj: Cardiovascular diabetology [Cardiovasc Diabetol] 2022 Jun 09; Vol. 21 (1), pp. 103. Date of Electronic Publication: 2022 Jun 09.
DOI: 10.1186/s12933-022-01538-0
Abstrakt: 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.
(© 2022. The Author(s).)
Databáze: MEDLINE
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