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LACE+ Index as Predictor of 30-Day Readmission in Brain Tumor Population
Ian F Caplan1, Patricia Zadnik Sullivan1, David Kung1
1Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Insights
The LACE+ index does not accurately predict 30-day readmissions for brain tumor surgery patients. Further research is needed to develop better predictive models for this specific population.
Area of Science:
- Neurosurgery
- Oncology
- Health Services Research
Background:
- The LACE+ index (Length of stay, Acuity of admission, Charlson Comorbidity Index score, and Emergency department visits) is a tool for predicting 30-day hospital readmissions.
- Its utility in predicting readmissions for patients undergoing brain tumor surgery has not been established.
Purpose of the Study:
- To evaluate the predictive accuracy of the LACE+ index for 30-day readmissions in patients who underwent craniotomy for supratentorial neoplasms.
- To assess the LACE+ index's ability to predict reoperation and emergency department visits within 30 days post-surgery.
Main Methods:
- Retrospective analysis of 352 patients undergoing craniotomy for supratentorial neoplasm.
- Logistic regression and receiver operating characteristic (ROC) curve analysis were used to assess the LACE+ index's predictive performance.
- Outcomes included 30-day readmission, reoperation, and emergency department visits.
Main Results:
- A 1-unit increase in LACE+ score was associated with a 1.02 times increased odds of 30-day readmission (P=0.031).
- However, the LACE+ index demonstrated poor specificity for predicting 30-day readmission (C-statistic=0.58).
- The index did not significantly predict 30-day reoperation or emergency department visits.
Conclusions:
- The LACE+ index is not a suitable prediction model for 30-day readmissions in the brain tumor surgery population.
- The current predictive capabilities of the LACE+ index are insufficient for this specific patient group.
Background:
The LACE+ index (Length of stay, Acuity of admission, Charlson Comorbidity Index score, and Emergency department [ED] visits in the past 6 months) is a tool used to predict 30-day readmissions. We sought to examine this predictive tool in patients undergoing brain tumor surgery.
Methods:
Admissions and readmissions for patients undergoing craniotomy for supratentorial neoplasm at a single multihospital academic medical center were analyzed. All brain tumor cases for which the patient was alive at 30 days after surgery were included (n = 352). 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-day readmission, reoperation, and ED visit. Analysis of the model's or variable's discrimination was determined by the receiver operating characteristic curve as represented by the C-statistic.
Results:
The sample included admissions for craniotomy for supratentorial neoplasm (n = 352). Assessment of the LACE+ index demonstrates a 1.02× increased odds of 30-day readmission for every 1-unit increase in LACE+ score (P = 0.031, CI = 1.00-1.03). Despite this, analysis of the receiver operating characteristic curve indicates that LACE+ index has poor specificity in predicting 30-day readmission (C-statistic = 0.58). A 1-unit increase in LACE+ score also predicts a 0.98× reduction in odds of home discharge (P < 0.001, CI = 0.97-0.99, C-statistic = 0.70). But LACE+ index does not predict 30-day reoperation (P = 0.945) or 30-day ED visits (P = 0.218).
Conclusions:
The results of this study demonstrate that the LACE+ index is not yet suitable as a prediction model for 30-day readmission in a brain tumor population.
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