Risk Factor Analysis and Prognosis of Dysphagia in Craniocerebral Injury Patients: Implications for Targeted Nursing Strategies
Year: 2026
Type: article
Study design: Observational Study
Abstract: ABSTRACT Background This study aims to develop a predictive model for risk factors associated with dysphagia in patients with craniocerebral injury and to propose targeted nursing and rehabilitation interventions based on this model to improve patient outcomes. Methods A retrospective analysis was conducted on clinical data from 150 patients with craniocerebral injury admitted between June 2022 and June 2024. Patients were divided into dysphagia ( n = 62) and control ( n = 88) groups based on the presence or absence of dysphagia. Univariate analysis and binary logistic regression were performed to identify independent risk factors for dysphagia, based on which a nomogram prediction model was subsequently constructed. Results Binary logistic regression identified vagus nerve injury, tracheotomy/cannulation, mechanical ventilation, and severe aphasia as independent risk factors for dysphagia, while a higher Glasgow Coma Scale (GCS) score served as a protective factor. The nomogram model based on these variables demonstrated good predictive performance, with an AUC of 0.877 (95% CI: 0.823–0.931) as validated by internal bootstrap resampling. Decision curve analysis showed no significant difference between predicted and observed outcomes ( X 2 = 5.6728, p = 0.6838), and the absolute error between predicted and actual values was 0.038, indicating strong clinical utility. Conclusion Vagus nerve injury, tracheotomy/cannulation, mechanical ventilation, severe aphasia, and GCS score are independent factors influencing the risk of dysphagia in craniocerebral injury patients. The developed predictive model demonstrates high accuracy and may provide a valuable reference for optimizing preventive nursing strategies and reducing the incidence of dysphagia.
Source: Brain and Behavior
DOI: 10.1002/brb3.71347
Authors: Qingye Zhang, Yuxia Pan, Hongyi Sun, Fang Yang
Institution: Nanjing University of Chinese Medicine
Language: English
Subfield: Speech and Hearing
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,630
OpenAlex ID: W7141288843