Development and Validation of a Predictive Model for the Risk of Postoperative Frailty in Elderly Patients With Benign Brain Tumors

Jiahui Yu; Panpan Xu; Linjing Du; Xiuqun Xu; Yinyin Fan; Meng Sun; Yanqing Li; Xi Zhang

doi:10.1002/brb3.71429

April 1, 2026Brain and BehaviorOpen Access

Development and Validation of a Predictive Model for the Risk of Postoperative Frailty in Elderly Patients With Benign Brain Tumors

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Key Points

The aim is to develop and validate a model to predict frailty in elderly patients after brain surgery.
Developed a predictive model focusing on elderly patients with benign brain tumors.
Validated the model through clinical assessments following intracranial tumor resection.
Identified key predictors of frailty in postoperative scenarios.
The predictive model showed high accuracy in identifying frail patients after surgery.
It helps clinicians target interventions for patients at greater risk of postoperative complications.
Increased awareness of frailty risks can lead to better pre-surgical planning.

Implication

This model predicts frailty risk in elderly patients with benign brain tumors, suggesting improved clinical assessments for high-risk individuals.

Abstract

We developed a reliable predictive model to predict frailty in elderly patients with benign PBTs after undergoing intracranial tumor resection. This model is intended to help clinical staff assess frailty risk and screen high-risk patients.

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Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/69eb099a553a5433e34b3f09 https://doi.org/10.1002/brb3.71429

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Development and Validation of a Predictive Model for the Risk of Postoperative Frailty in Elderly Patients With Benign Brain Tumors

Key Points

Implication

Abstract

Discussion

Cite This Study

Development and Validation of a Predictive Model for the Risk of Postoperative Frailty in Elderly Patients With Benign Brain Tumors

Key Points

Implication

Abstract

Discussion

Cite This Study

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