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 1DOI: 10.12659/MSM.948637
Med Sci Monit 2025; 31:e948637
Table 1 Comparison of categorical variables in baseline data between the 2 groups.
| Variables | Total (n=300) | Non-dysphagia group (n=99) | Dysphagia group (n=201) | P value |
|---|---|---|---|---|
| Sex, n (%) | 0.564 | |||
| Female | 155 (52%) | 54 (55%) | 101 (50%) | |
| Male | 145 (48%) | 45 (45%) | 100 (50%) | |
| Age, n (%) | 0.039 | |||
| 18–55 | 90 (30%) | 39 (39%) | 51 (25%) | |
| 56–65 | 78 (26%) | 24 (24%) | 54 (27%) | |
| >65 | 132 (44%) | 36 (36%) | 96 (48%) | |
| Stroke type, n (%) | 0.564 | |||
| Cerebral hemorrhage | 155 (52%) | 54 (55%) | 101 (50%) | |
| Cerebral infarction | 145 (48%) | 45 (45%) | 100 (50%) | |
| Stroke lesion side, n (%) | 0.141 | |||
| Left | 150 (50%) | 56 (57%) | 94 (47%) | |
| Right | 150 (50%) | 43 (43%) | 107 (53%) | |
| Stroke location, n (%) | 0.087 | |||
| Lobar | 86 (29%) | 29 (29%) | 57 (28%) | |
| Lobar+deep | 124 (41%) | 39 (39%) | 85 (42%) | |
| Deep | 90 (30%) | 31 (31%) | 59 (29%) | |
| MBI, n (%) | 0.097 | |||
| >45 | 124 (41%) | 34 (34%) | 90 (45%) | |
| <45 | 176 (59%) | 65 (66%) | 111 (55%) | |
| Hypertension, n (%) | 0.452 | |||
| No | 95 (32%) | 28 (28%) | 67 (33%) | |
| Yes | 205 (68%) | 71 (72%) | 134 (67%) | |
| Diabetes, n (%) | 0.403 | |||
| No | 96 (32%) | 28 (28%) | 68 (34%) | |
| Yes | 204 (68%) | 71 (72%) | 133 (66%) | |
| MBI – modified Barthel index. | ||||