Predictors of Hospitalization in Vitamin K Antagonist Users Presenting with Bleeding at the Emergency Department
AUTOR(ES)
Chiaparini, Alan Fabiani; Rabaioli, Paola Stefania Bohrer; Slaviero, João Vitor; Tem-Pass, Cinthia Scatolin; Fontana Filho, Hugo Antonio; Castro, Iran; Almeida, Eduardo Dytz; Leiria, Tiago Luiz Luz
FONTE
International Journal of Cardiovascular Sciences
DATA DE PUBLICAÇÃO
2022
RESUMO
Abstract Background Vitamin K antagonists (VKA) are indicated for the prevention of thromboembolic events and reduction of mortality in patients with atrial fibrillation and patients with valvular prostheses. However, their use is associated with bleeding complications and hospitalizations. Predictors of hospital admission for bleeding in these patients are poorly known. Objectives To define the predictors for hospitalization of VKA users who seek emergency care due to bleeding. Methods Single-center, cross-sectional study, with retrospective analysis of electronic medical records from 03/01/2012 to 02/27/2017. Clinical and laboratory variables were compared between patients who were hospitalized and those who were not. A logistic regression model as used, in which the variables were included using the Backward stepwise method, with a p value of 0.05 as the input criterion, a removal value of 0.20 and a confidence interval of 95%. The p-value was considered statistically significant when <0.05. Results A total of 510 patients with bleeding were included, of whom 158 were hospitalized. Predictors of hospitalization were: INR at supratherapeutic levels (OR 3.45; P <0.01; 95% CI 1.58 - 7.51), gastrointestinal bleeding (OR 2.36; P <0.01; CI 95% 1.24 - 4.50), drop in hemoglobin (OR 6.93; P <0.01; 95% CI 3.67 - 13.07), heart failure (OR 1.96; P 0.01; 95% CI 1.16 - 3.30) and need for blood transfusion (OR 8.03; P <0.01; 95% CI 2.98 - 21.64). Conclusion Drop in hemoglobin, heart failure, INR at supratherapeutic levels, gastrointestinal bleeding and need for blood transfusion were associated with hospitalization. Identification of these factors in the initial evaluation would help to define which patients will demand more intensive care.
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