Abstract
Objectives: To desc ribe the state and trait anxiety level in patients with acute coronary syndrome undergoing unplanned catheterization; to assess the influence of trait anxiety on state anxiety before and after catheterization, and check if anxiety (state and trait) is predictive of non-fatal arrhythmias, of patients' clinical severity measured by the Killip score and the Charlson Comorbidity Index (CCI), and of length of hospital stay. Methods: An observational, correlational and longitudinal study in which were evaluated participants with acute coronary syndrome waiting for unplanned cardiac catheterization. At the initial meeting (Ti), were collected sociodemographic and clinical data, and were applied the State and Trait Anxiety Inventory (STAI) and Beck Depression Inventory (BDI). At the fi nal meeting (Tf), was applied the STAI-state. Participants were followed up until hospital discharge or death regarding the occurrence of non-fatal arrhythmias and length of hospital stay. Results: A total of 100 participants were included (62.2±11.4 years; 61% male sex). The STAI-trait score was 42.2±10.4 and it influenced the STAI-state score at Ti and Tf (p<0.005). The STAI-state decreased signifi cantly between Ti and Tf (40.2±10.4 vs 37.2±11.2, respectively, p=0.002). There was no association of STAI-trait or STAI-state with severity indexes, length of hospital stay or arrhythmia occurrence. However, the depression score increased the chance of occurrence of arrhythmias by 9.5% (OR=1.009, 95% CI=0.913-1.115). Conclusion: The level of anxiety reduced signifi cantly after catheterization, and was not a predictor of short-term clinical outcomes.
Author supplied keywords
Cite
CITATION STYLE
De Carvalho Batista, L., Calache, A. L. S. C., & De Cassia Gengo e Silva Butcher, R. (2018). Anxiety and clinical outcomes in coronary patients undergoing unplanned catheterization. ACTA Paulista de Enfermagem, 31(6), 593–599. https://doi.org/10.1590/1982-0194201800082
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.