SURG-26. READMISSION FOLLOWING RESECTION FOR PATIENTS WITH BRAIN METASTASES IN THE UNITED STATES

Abstract

Abstract OBJECTIVE Up to 30% of cancer patients will develop brain metastasis during the course of their systemic disease with a significant proportion undergoing resection of at least one lesion. The objective of the present study was to characterize the rates, predictors, and costs of 30-day readmissions following craniotomy for brain metastases using a nationally representative database. METHODS This study was a retrospective analysis of data from the Nationwide Readmissions Database (NRD) from 2010–2014. We included patients who underwent craniotomy for brain metastasis, identified using ICD-9-CM diagnosis (198.3) and procedure (01.59) codes. The primary outcome of the study was unplanned 30-day all-cause readmission rates. Secondary outcomes included predictors and costs of readmissions. RESULTS During the study period, there were 44,846 index hospitalizations for patients who underwent resection of brain metastasis. Among this cohort, 17.8% (n=7,965) had unplanned readmissions within the first 30 days after discharge from the index hospitalization. The readmission rate did not change significantly during the study period (P=0.286). The odds of unplanned readmission were significantly greater in patients with thromboembolic complications (aOR, 1.53; 95% CI: 1.18–2.01), patients with Elixhauser comorbidities >3 (aOR, 1.35; 95% CI: 1.22–1.50), male patients (adjusted odds ratio [aOR], 1.29; 95% CI: 1.17–1.42), patients with an initial length of stay ≥5 days (aOR, 1.02; 95% CI: 1.01–1.03). The median per-patient cost for 30-day unplanned readmission was $11,109 and this accounted for a total cost of $132.1 million during the study period. CONCLUSIONS Unplanned readmissions after resection for brain metastases involve substantial healthcare expenditures. Though there have been many interventions for improving surgical quality, post-operative care, and cost metrics, unplanned readmission rates have not changed. Key patient-specific variables and high rates of comorbidities should be considered to focus our efforts on patient selection for resection, and for strengthening existing interventions for high-risk patients.