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

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

BMC Research Notes Pub Date : 2025-01-10 DOI:10.1186/s13104-025-07085-7

Sina Zoghi, Zahra Tabesh, Ali Ansari, Omid Yousefi, Mohammad Sadegh Masoudi, Reza Taheri

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引用次数: 0

Abstract

Objective: Postoperative tracheostomy is a significant complication following medulloblastoma (MB) resection. This study aimed to develop a predictive model for postoperative tracheostomy requirement in children undergoing MB surgical resection. This model was derived as a side product of a larger research project analyzing surgical outcomes in pediatric MB patients.

Results: 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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儿童髓母细胞瘤手术切除后气管切开术简易预测模型的建立。

目的：气管造口术是髓母细胞瘤（MB）切除术后的重要并发症。本研究旨在建立儿童MB手术切除后气管切开术需求的预测模型。该模型是一个更大的研究项目的副产品，该研究项目分析了小儿MB患者的手术结果。结果：45例（26%）患者术后需要气管切开术。采用多变量逻辑回归，建立了五个模型，并根据性能和简单性选择了最终模型。简化版本包括两个预测因素：术前脑干侵犯和术后脑干挫伤，每个因素对评分的贡献相同。模型的AUC为0.845。在0分、1分和2分时，需要气管切开术的预测风险分别为5.8%、57.7%和75%。该工具为临床医生提供了定量的方法来评估气管切开术的风险，改善决策和患者管理。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)

CiteScore

3.60

自引率

0.00%

发文量

363

审稿时长

15 weeks

期刊介绍： BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.