Roy JM, Sizdahkhani S, Musmar B, Teichner E, El Naamani K, Tjoumakaris SI, Gooch MR, Rosenwasser RH, Jabbour PM. Predictors of Extended Length of Stay After Treatment of Unruptured Intracranial Aneurysms.
World Neurosurg 2024;
189:e1027-e1033. [PMID:
39013500 DOI:
10.1016/j.wneu.2024.07.070]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/06/2024] [Accepted: 07/08/2024] [Indexed: 07/18/2024]
Abstract
BACKGROUND
Despite their asymptomatic occurrence, unruptured intracranial aneurysms (UIAs) account for a significant proportion of hospital charges and healthcare resource utilization in the United States. Hospital length of stay (LOS) is a reimbursement metric utilized to incentivize value-based care. Our study identifies predictors of extended LOS (eLOS) after elective treatment of UIAs.
METHODS
This was a retrospective study of 525 patients who underwent elective treatment of an UIA at a single institution. Data were collected with regard to demographics, clinical presentation, treatment characteristics, and postoperative outcomes. The primary outcome, eLOS, was defined as hospital stay in the upper quartile of the median (≥75th percentile). Univariate and multivariate analyses were performed to identify factors predictive of eLOS in this cohort.
RESULTS
The average age of the cohort was 61.40, standard deviation=11.41. 77.3% of the cohort was female. The median duration of LOS was 2 days (interquartile range: 1-5). 11.6% experienced eLOS (≥5 days). Multivariate logistic regression identified age (OR: 1.04, 95% confidence interval [CI]: 1.01-1.07), coexistent vascular pathology (OR: 21.33, 95% CI: 8.06-56.39), open surgery (OR: 3.93, 95% CI: 1.85-8.34), and postoperative stroke (OR: 11.72, 95% CI: 3.18-43.18) as independent predictors of eLOS.
CONCLUSIONS
Our study identified predictors of eLOS that could help promote risk stratification prior to treatment of UIAs. Future research that identifies predictors of long-term outcomes based on treatment modality could help identify ways to improve healthcare resource utilization in this cohort.
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