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ABSTRACT Purpose Oropharyngeal dysphagia (OD) is one of the possible outcomes in patients hospitalized with COVID-19 and also in the population hospitalized for the treatment of cardiovascular disease. Thus, knowing the predictive risk factors for OD may help with referral and early intervention. This study aimed to verify the association of different factors with OD in hospitalized individuals with cardiovascular disease and COVID-19. Methods Cross-sectional clinical study approved by the Research Ethics Committee (4,521,771). Clinical evaluation of swallowing was carried out in 72 adult patients with cardiovascular disease and COVID-19 hospitalized from April to September 2020. Individuals under 18 years of age and without previous cardiovascular disease were excluded. The presence of general clinical and/or neurological complications, pronation, stay in the intensive care unit (ICU), orotracheal intubation (OTI), tracheostomy tube, oxygen support and age were considered as predictive risk factors for oropharyngeal dysphagia. Fisher's exact test, Mann Whitney test and logistic regression model were used for analysis. Results General clinical complications (p=0.001), pronation (p=0.003), ICU stay (p=0.043), in addition to the need for oxygen supplementation (p=0.023) and age (p= 0 .037) were statistically significant factors associated. The pronation (0.013) and age (0.038) were independently associated with dysphagia. OTI (p=0.208), tracheostomy (p=0.707) and the presence of previous cerebrovascular accidents (p=0.493) were not statistically significant. Conclusion In this study, age and prone position were factors independently associated with oropharyngeal dysphagia, complications such as the need for oxygen supplementation, in addition to the need for ICU admission, were also associated factors in the population. (OD COVID19 COVID 19 COVID-1 Thus intervention COVID19. 19. Crosssectional Cross sectional 4,521,771. 4521771 4,521,771 . 4 521 771 (4,521,771) 7 2020 1 excluded andor or ICU, , (ICU) OTI, (OTI) tube Fishers Fisher s analysis p=0.001, p0001 p p=0.001 001 (p=0.001) p=0.003, p0003 p=0.003 003 (p=0.003) p=0.043, p0043 p=0.043 043 (p=0.043) p=0.023 p0023 023 (p=0.023 p= (p .037 037 0.013 0013 013 (0.013 0.038 0038 038 (0.038 p=0.208, p0208 p=0.208 208 (p=0.208) p=0.707 p0707 707 (p=0.707 p=0.493 p0493 493 (p=0.493 admission COVID1 COVID- 452177 4,521,77 52 77 (4,521,771 202 (ICU (OTI p000 p=0.00 00 (p=0.001 (p=0.003 p004 p=0.04 04 (p=0.043 p=0.02 p002 02 (p=0.02 .03 03 0.01 01 (0.01 0.03 (0.03 p020 p=0.20 20 (p=0.208 p=0.70 p070 70 (p=0.70 p=0.49 p049 49 (p=0.49 45217 4,521,7 5 (4,521,77 p00 p=0.0 (p=0.00 (p=0.04 (p=0.0 .0 0.0 (0.0 p02 p=0.2 2 (p=0.20 p=0.7 p07 (p=0.7 p=0.4 p04 (p=0.4 4521 4,521, (4,521,7 p0 p=0. (p=0. 0. (0. (p=0.2 452 4,521 (4,521, p=0 (p=0 (0 45 4,52 (4,521 ( 4,5 (4,52 4, (4,5 (4, (4