TY - JOUR T1 - Causes and Predictors of Early Hospital Readmission in Systemic Lupus Erythematosus JF - The Journal of Rheumatology JO - J Rheumatol DO - 10.3899/jrheum.170176 SP - jrheum.170176 AU - Angelica Nangit AU - Connie Lin AU - Mariko L. Ishimori AU - Brennan M.R. Spiegel AU - Michael H. Weisman Y1 - 2018/04/15 UR - http://www.jrheum.org/content/early/2018/04/09/jrheum.170176.abstract N2 - Objective We investigated characteristics of adult patients with systemic lupus erythematosus (SLE) readmitted to the hospital within 30 days of discharge, in an attempt to identify the causes of early readmission. Methods We performed a retrospective case-control study examining all inpatient electronic health records of patients with SLE at Cedars-Sinai Medical Center over a 2.5-year period (2012–2014). Patients were included if they had an International Classification of Diseases, 9th ed diagnosis of SLE and were readmitted within 30 days of their initial hospitalization. Patients with SLE not readmitted during this time period were used as a control group. Demographic and clinical variables for each patient were collected, and we used the Charlson Comorbidity Index to characterize comorbidities. The Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI) was used to assess the chronic damage of SLE. Stepwise multivariable logistic regression analysis was used to predict factors associated with readmission. Results In total, 570 hospitalizations representing 455 unique patients met our inclusion and exclusion criteria. Of these, 154 patients (34%) underwent readmission within 30 days of their initial hospitalization. Patients in the early readmission group were more likely to have government-sponsored Medicaid insurance and were significantly associated with an increased SDI (OR 1.27, 95% CI 1.1–1.48), lower serum hemoglobin (OR 0.82, 95% CI 0.72–0.93), and lower serum albumin (OR 0.66, 95% CI 0.47–0.91). Conclusion One-third of hospitalized patients with SLE were readmitted within 30 days at our institution. We identified characteristics of this at-risk population at time of discharge with high specificity, in hopes of reducing this costly outcome. ER -