Development of a simple prediction model for tracheostomy requirement after surgical resection of medulloblastoma in children

Forty-five patients (26%) required tracheostomy postoperatively. Using multivariable logistic regression, five models were developed, and the final model was selected based on performance and simplicity. The simplified version included two predictors: preoperative brainstem invasion and postoperative brainstem contusion, each contributing equally to the score. The model demonstrated an AUC of 0.845. Predicted risks of requiring a tracheostomy were 5.8%, 57.7%, and 75% for scores of 0, 1, and 2, respectively. This tool provides clinicians with a quantitative approach to assess tracheostomy risk, improving decision-making and patient management.

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Publication Details

Journal
BMC Research Notes
Published
2025-01-10
DOI
https://doi.org/10.1186/s13104-025-07085-7
Citations
1
Primary Topic
Head and Neck Surgical Oncology
Type
article
Field-Weighted Citation Impact
2.01
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article

Development of a simple prediction model for tracheostomy requirement after surgical resection of medulloblastoma in children

Mohammad Sadegh Masoudi, Reza Taheri, Omid Yousefi, Sina Zoghi et al.
1 citations
BMC Research Notes
Head and Neck Surgical Oncology
2.01
article

Development of a simple prediction model for tracheostomy requirement after surgical resection of medulloblastoma in children

Mohammad Sadegh Masoudi, Reza Taheri, Omid Yousefi, Sina Zoghi, Ali Ansari, Zahra Tabesh
article en
1 citations

Abstract

Forty-five patients (26%) required tracheostomy postoperatively. Using multivariable logistic regression, five models were developed, and the final model was selected based on performance and simplicity. The simplified version included two predictors: preoperative brainstem invasion and postoperative brainstem contusion, each contributing equally to the score. The model demonstrated an AUC of 0.845. Predicted risks of requiring a tracheostomy were 5.8%, 57.7%, and 75% for scores of 0, 1, and 2, respectively. This tool provides clinicians with a quantitative approach to assess tracheostomy risk, improving decision-making and patient management.

BMC Research NotesVol. 18(1)
Shiraz University of Medical Sciences (IR), Fasa University of Medical Sciences (IR)
Zero hunger
Openalex Percentile: Top 20%
Head and Neck Surgical Oncology
2.01
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