Design of a Risk Scoring System for Post Surgical Adverse Events on Neuro-oncological patients

Rodrigo Lagos, Matías Espinoza and Alejandro Cubillos

Data and Metadata, 2023, vol. 2, 125

Abstract: This paper aims to validate and subsequently design a Risk Scoring System based on Lohman et al.(14) risk calculator for patients undergoing brain or spinal tumor surgery. Three models were tested: replication of Lohman's methodology, modification of risk groups, and development of a custom risk calculator. The replication of Lohman's instrument did not show significant correlations with adverse events in the study population. However, the adapted risk calculator demonstrated promising predictive performance for unplanned reoperation at 30 days, indicating good utility. The study suggests the potential applicability of the adapted risk calculator for predicting unplanned reoperation within 30 days for patients undergoing brain or spinal tumor surgery. Further research with larger samples and less missing data is recommended to confirm and enhance the utility of the proposed risk calculator. The results could be used to optimize decision-making and improve the quality of care for neuro-oncological surgery patients

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:2:y:2023:i::p:125:id:1056294dm2023125

DOI: 10.56294/dm2023125

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