Abstract TP220: Premorbid Anxiety and Depression as a Predictor of Length of Hospital Stay in Stroke Patients

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Authors: Vera N. Kulikov, Stanley S. Tsou, Lyla Rose, Ka Ho Cao, Ryan Margolis, Tasnim Naina, John Cristantiello, Isabella M. Levesque, Gabriel Lartigue, Jeremiah Varghese, Ambar Ruiz, Prahlad Raval
+8 more Ayesha Azeem, Claire Larson, Joaane Kim, Emily R. White, Dafni F. T. Frohman, Sayedatun Nessa, Ruth A. Reinsel, Jason Mathew
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Abstract

Introduction: There is increasing interest in the impact of premorbid social factors on stroke outcomes. In this prospective observational survey of stroke survivors hospitalized at Stony Brook University Hospital, we aimed to evaluate the impact of premorbid anxiety and depression on length of hospital stay. Methods: At bedside, trainees recruited eligible hospitalized patients who experienced an Acute Ischemic Stroke (AIS, n=62) or Intracerebral Hemorrhage (ICH, n=12). Patients completed RedCap-based self-reported questionnaires, including premorbid Generalized Anxiety Disorder-7 (GAD-7) and the 2-item Patient Health Questionnaire-2 (PHQ-2) for depression. Additional variables were extracted from patient electronic health records (See Table 1). For the statistical analysis, predictor variables were dichotomized or trichotomized, and entered in a backward stepwise logistic regression to predict length of hospital stay (1= >7 days, 0=

Fields of Study & Subjects

Acute Ischemic Stroke Management Stroke Rehabilitation and Recovery Cardiac Health and Mental Health

Publication details

Journal / source
Stroke
Volume
57
Issue
Suppl_1
Publication date
29 January 2026
Language
EN