Analysis of intra-operative variables as predictors of 30-day readmission in patients undergoing glioma surgery at a single center

Autor: Ashish H. Shah, Iahn Cajigas, Veronica Borowy, Ricardo J. Komotar, Nathalie Abitbol, Richard H. Epstein, Michael E. Ivan, Anil K. Mahavadi
Rok vydání: 2019
Předmět:
Zdroj: Journal of Neuro-Oncology. 145:509-518
ISSN: 1573-7373
0167-594X
DOI: 10.1007/s11060-019-03317-6
Popis: Reducing the time from surgery to adjuvant chemoradiation, by decreasing unnecessary readmissions, is paramount for patients undergoing glioma surgery. The effects of intraoperative risk factors on 30-day readmission rates for such patients is currently unclear. We utilized a predictive model-driven approach to assess the impact of intraoperative factors on 30-day readmission rates for the cranial glioma patient. Retrospectively, the intraoperative records of 290 patients who underwent glioma surgery at a single institution by a single surgeon were assessed. Data on operative variables including anesthesia specific factors were analyzed via univariate and stepwise regression analysis for impact on 30-day readmission rates. A predictive model was built to assess the capability of these results to predict readmission and validated using leave-one-out cross-validation. In multivariate analysis, end case hypothermia (OR 0.28, 95% CI [0.09, 0.84]), hypertensive time > 15 min (OR 2.85, 95% CI [1.21, 6.75]), and pre-operative Karnofsky performance status (KPS) (OR 0.63, 95% CI [0.41, 0.98] were identified as being significantly associated with 30-day readmission rates (chi-squared statistic vs. constant model 25.2, p
Databáze: OpenAIRE
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