ArticleBMC oral health2025
Latent class analysis of oral symptoms in stroke patients and exploration of associated.
Article in BMC oral health, 2025. 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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Abstract
objectivesThis study aims to identify the potential categories of oral symptoms in stroke patients and to explore their associated influencing factors.
methodsA convenience sampling method was employed to collect demographic and oral symptom data from hospitalized stroke patients admitted to the neurology and neurosurgery departments of a tertiary hospital in Guiyang, Guizhou Province, between January 2025 and March 2025. Latent class analysis was applied to classify oral symptoms, and univariate analysis along with multivariate logistic regression was conducted to identify factors associated with each class.
resultsThree distinct classes of oral symptoms were identified: Structural and Masticatory Dysfunction (21.8%), Oral Mucosal Lesions (34.6%), and Poor Oral Hygiene (43.6%). The multivariate logistic regression analysis revealed that the influencing factors varied across different oral symptom classes (P < 0.05).
conclusionThe findings indicate substantial heterogeneity in oral symptoms among stroke patients. Tailored oral care strategies should be developed based on the characteristics and determinants of each class to improve oral health outcomes and overall quality of life in this population.
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