Abstract 1438: Profiling Symptoms of Depression and Anxiety in Patients With an Acute Coronary Syndrome Using Latent Class and Latent Transition Analysis
Background: Patients with an acute coronary syndrome (ACS) and symptoms of depression and anxiety report a worse quality of life than patients without these disorders. Identifying symptom profiles of patients with depression and anxiety will not only better inform clinical management by improving diagnostic practices but also help to refine treatment strategies in these patients.
Objectives: To determine symptom profiles of depression and anxiety in ACS patients using the hospital anxiety and depression scale (HADS). A secondary study objective was to examine the effects of age and sex on patients’ symptom profiles.
Methods: A total of 100 ACS patients with mild to severe depression and/or anxiety at one month post-hospital discharge were enrolled in a randomized trial of cognitive behavioral therapy. Latent class and latent transition analyses were used to identify symptomatology profiles of depression and anxiety.
Results: A two-class solution was selected to describe depression and anxiety symptomatology profiles. Class I (76% of patients at baseline) was labeled “severe depression and some anxiety”. Class II (24% of patients at baseline) was labeled “mild depression and distress anxiety”. Approximately 25% of patients in the treatment group transitioned to the less severe depression and anxiety class compared to 10% in the control group at the time of the month-two of follow-up; nearly 50% of patients in the control group showed worsening of symptoms as compared to 28% in the treatment group. There were no sex differences in the probability of transitioning from one class to the other. More than 70% of older patients continued to have severe depression and anxiety at the time of the month-two of follow-up.
Conclusions: The current study demonstrates that patients with depression and anxiety after an ACS can be identified on the basis of the symptoms that they present. This is particularly important to identifying individuals at potential risk for developing clinical complications after an ACS.