Abstract 266: Impact of Bleeding on 30-Day All Cause Readmission in Atrial Fibrillation Patients

Autor: Alpesh N Amin, Bruce D Bowdy, Bernadette H Johnson, Yonghua Jing, Scott B Robinson, Daniel Wiederkehr
Rok vydání: 2013
Předmět:
Zdroj: Circulation: Cardiovascular Quality and Outcomes. 6
ISSN: 1941-7705
1941-7713
DOI: 10.1161/circoutcomes.6.suppl_1.a266
Popis: OBJECTIVES: To determine the impact of hospital acquired bleeding assessed in patients admitted for atrial fibrillation (AF) on 30-day all-cause readmission. METHODS: The Premier research database was queried to identify adult inpatients discharged between 2008 and 2011 who had a primary diagnosis code for AF and in whom bleeding was not present on admission. Bleeding was identified using ICD-9 diagnosis codes, charge codes for fresh frozen plasma or blood, or charge codes for transfusion of blood or blood components. Descriptive statistics including the outcome of 30-day all-cause readmission were obtained. For comparing patients with and without bleeding, t-tests for continuous variables and chi-squared tests for categorical variables were used (alpha = 0.05). Logistic regression adjusting for demographics, comorbidities and antiplatelet/anticoagulant use were used to produce odds ratio estimates for the odds of a patient having a readmission when comparing patients with and without bleeding. RESULTS: There were 143,287 patients, average age of 69.4 (SD 14.5) that met the study criteria. Overall, 2,991 (2.1%) patients had a bleed during their hospitalization. There were 142,138 (99.2%) patients eligible for a readmission defined as not having died during the index hospitalization. The unadjusted 30-day readmission rate was 21.1% in patients with a bleed compared to 10.8% in the no bleeding group (p-value CONCLUSIONS: Occurrence of bleeding in hospitalized patients with AF is associated with a significant increase in 30-day readmission. More research is needed to determine whether strategies to decrease bleeding can positively improve readmission rates for this patient population.
Databáze: OpenAIRE