Evidence map›Paper›PMID 41888067›Full record

ArticleBrain and behavior2026

Risk Factor Analysis and Prognosis of Dysphagia in Craniocerebral Injury Patients: Implications for Targeted Nursing Strategies.

Qingye Zhang, Yuxia Pan, Hongyi Sun, Fang Yang

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Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qingye ZhangIntensive Care Unit, Taizhou Hospital of Traditional Chinese Medicine (Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine), Taizhou, China.
Yuxia PanIntensive Care Unit, Taizhou Hospital of Traditional Chinese Medicine (Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine), Taizhou, China.
Hongyi SunDepartment of Nursing, Taizhou Hospital of Traditional Chinese Medicine (Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine), Taizhou, China.
Fang YangIntensive Care Unit, Taizhou Hospital of Traditional Chinese Medicine (Taizhou Affiliated Hospital of Nanjing University of Chinese Medicine), Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis 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.

methodsA 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.

resultsBinary 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

conclusionVagus 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.

Indexed as

Craniocerebral TraumaDeglutition DisordersAdultFemaleGlasgow Coma ScaleHumansMaleMiddle AgedNomogramsPrognosisRetrospective StudiesRisk Factorsdysphagianursingprognosisrisk factors

Identifiers

PMID41888067
PMCPMC13112032

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.