Multimodal Neural Assessment for Predicting Post-Stroke Dysphagia: Identifying Critical Risk Factors Using Combined Indicators

Qian Zhang; Shuang Wu; Yangmei Shi; Qian Chen; Jiajie Gao; Sijie Sun; Jing Zhang

doi:10.12659/MSM.948637

29 August 2025 : Database Analysis

Multimodal Neural Assessment for Predicting Post-Stroke Dysphagia: Identifying Critical Risk Factors Using Combined Indicators

Qian Zhang^{ACEF 1,2}, Shuang Wu^{A 1,2*}, Yangmei Shi^{BCD 2}, Qian Chen^{BCD 2}, Jiajie Gao^{BCD 2}, Sijie Sun^{B 1}, Jing Zhang^{B 1}

DOI: 10.12659/MSM.948637

Med Sci Monit 2025; 31:e948637

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Table 6 Comparison of the areas under the ROC curves for different combined predictive variables.

Pairs of predictive variables	Difference of AUC	Standard error	95% CI	Z value	P value
Cp+PA+ipsilateral MEP+contralateral MEP vs Cp+PA+ipsilateral MEP	0.0455	0.0113	0.023~0.068	4.0294	0.0001
Cp+PA+ipsilateral MEP+contralateral MEP vs PA+ipsilateral MEP	0.0509	0.0120	0.027~0.074	4.2476	0.0000
Cp+PA+ipsilateral MEP vs PA+ipsilateral MEP	0.0054	0.0051	−0.005~0.015	1.0580	0.2901
NIHSS – National Institute of Health Stroke Scale; Cp – clustering coefficient; PA – peak amplitude; MEP – motor-evoked potentials; AUC – area under the curve; CI – confidence intervals.

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Multimodal Neural Assessment for Predicting Post-Stroke Dysphagia: Identifying Critical Risk Factors Using Combined Indicators

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