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Published in: Acta Neurochirurgica 11/2020

01-11-2020 | Meningioma | Original Article - Tumor - Meningioma

Predictors of readmission after craniotomy for meningioma resection: a nationwide readmission database analysis

Authors: Michelle Lin, Elliot Min, Elliott A. Orloff, Li Ding, Kerolos S. R. Youssef, James S. Hu, Steven L. Giannotta, William J. Mack, Frank J. Attenello

Published in: Acta Neurochirurgica | Issue 11/2020

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Abstract

Background

Meningiomas are the most common benign primary brain tumors. The mainstay of treatment, surgical resection, is often curative. Given the excellent prognosis of these lesions, minimizing perioperative complications is of the utmost importance. With the establishment of the National Readmissions Database (NRD), researchers are now able to identify variables associated with postoperative complications beyond the index admission.

Objective

In this study, we sought to identify the leading causes for non-elective readmission and variables associated with increased likelihood of readmission at 30 and 90 days after discharge following a craniotomy for meningioma resection.

Methods

Adult inpatients who underwent craniotomy for meningioma resection between 2010 and 2014 were queried from the NRD. All-cause readmissions following craniotomy at 30 and 90 days were identified, and a multivariable logistic regression model was used to characterize independent risk factors.

Results

Among 26,034 patients who received craniotomy for meningioma resection, 2825 (10.9%) were readmitted at 30 days and 3436 (16.1%) were readmitted at 90 days. Postoperative wound infection was the most common readmission diagnosis, occurring in 9.32% and 10.2% of 30- and 90-day readmissions respectively. Patient factors associated with increased likelihood of readmission included male gender, greater illness severity, non-routine discharge, index length of hospitalization, and having Medicare or Medicaid insurance.

Conclusions

Readmission following craniotomy for meningioma resection occurs at a clinically significant rate. Several patient factors were identified in association with all-cause 30- and 90-day readmissions. Further studies are required to identify means for preventing complications following discharge in these vulnerable patient populations.
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Metadata
Title
Predictors of readmission after craniotomy for meningioma resection: a nationwide readmission database analysis
Authors
Michelle Lin
Elliot Min
Elliott A. Orloff
Li Ding
Kerolos S. R. Youssef
James S. Hu
Steven L. Giannotta
William J. Mack
Frank J. Attenello
Publication date
01-11-2020
Publisher
Springer Vienna
Published in
Acta Neurochirurgica / Issue 11/2020
Print ISSN: 0001-6268
Electronic ISSN: 0942-0940
DOI
https://doi.org/10.1007/s00701-020-04528-x

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