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oai:repisalud.isciii.es:20.500.12105/186712024-09-21T21:21:41Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927

00925njm 22002777a 4500 dc Romero-Trevejo, José Lorenzo author Fernández-Romero, Lourdes author Delgado, Josué author Muñoz-García, Erika author Sánchez-Pérez, Andrés author Murri, Mora author Gutiérrez-Bedmar, Mario author Jiménez-Navarro, Manuel Francisco author 2022-06-09 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. 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. 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). 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. 10.1186/s12933-022-01538-0 1475-2840 Cardiovascular diabetology http://hdl.handle.net/10668/20320 35681222 http://hdl.handle.net/20.500.12105/18671 Cardiovascular prevention Choroidal thickness Coronary artery disease Granulocyte colony-stimulating factor Predictive model ROC curves Choroidal thickness and granulocyte colony-stimulating factor in tears improve the prediction model for coronary artery disease.