• Ian F Caplan, Zadnik SullivanPatriciaPDepartment of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA., Gregory Glauser, Omar Choudhri, David Kung, Donald M O'Rourke, Benjamin Osiemo, Stephen Goodrich, Scott D McClintock, and Neil R Malhotra.
• Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA.
• Clin Neurol Neurosurg. 2019 Jul 1; 182: 79-83.

ObjectiveThe LACE + index (Length of stay, Acuity of admission, Charlson Comorbidity Index (CCI) score, and Emergency department visits in the past 6 months) is a tool utilized to predict 30-90 day readmission and other secondary outcomes. We sought to examine the effectiveness of this predictive tool in patients undergoing brain tumor surgery.Patients And MethodsAdmissions and readmissions for patients undergoing craniotomy for supratentorial neoplasm at a single, multi-hospital, academic medical center, were analyzed. Key data was prospectively collected with the Neurosurgery Quality Improvement Initiative (NQII)-EpiLog tool. This included all supratentorial craniotomy cases for which the patient was alive at 90 days after surgery (n = 238). Simple logistic regression analyses were used to assess the ability of the LACE + index and subsequent single variables to accurately predict the outcome measures of 30-90 day readmission, 30-90 day emergency department (ED) visit, and 30-90 day reoperation. Analysis of the model's or variable's discrimination was determined by the receiver operating characteristic curve as represented by the C-statistic.ResultsThe sample included admissions for craniotomy for supratentorial neoplasm (n = 238) from 227 patients, of which 50.00% were female (n = 119). The average LACE + index score was 53.48 ± 16.69 (Range 9-83). The LACE + index did not accurately predict 30-90 day readmissions (P = 0.127), 30-90 day ED visits (P = 0.308), nor reoperations (P = 0.644). ROC confirmed that the LACE + index was little better than random chance at predicting these events in this population (C-statistic = 0.51-0.58). However, a single unit increase in LACE + leads to a 0.97 times reduction in the odds of being discharged home with fair predictive accuracy (P < 0.001, CI = 0.96-0.98, C-statistic = 0.69).ConclusionThe results of this study show that the LACE + index is ill-equipped to predict 30-90 day readmissions in the brain tumor population and further analysis of significant covariates or other prediction tools should be undertaken.Copyright © 2019 Elsevier B.V. All rights reserved.

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