Multivariable analysis and construction of prediction model for SAP
dysphagia, hematoma, disorder of consciousness
DYSPHAGIA, HEMATOMA
A total of 16 variables with p < 0.2 were entered into the multivariate logistic analysis, among which NHISS was excluded from further analysis due to the existence of collinearity (VIF = 6.899, Supplementary Table 
Prediction of SAP probability using results of multivariable analysis. OR: Odds Ratio, 95% CI: 95% confidence intervalThe application of the nomogram was as follows: based on the nomogram, we first calculate the score for each prediction indicator and then sum them to obtain the total score. The resulting total score can be used to estimate the individualized risk of developing SAP during hospitalization. For example, a male patient (24 points) was 70-year-old (63 points), had a disorder of consciousness (30 points), and had the symptom of dysphagia (52 points). Total muscle strength of the worse side was 0 (30 points), and only one lobe was involved (0 points). The hematoma didn’t extend into the ventricle (0 points). The cumulative score of the prediction indicators was 24 + 63 + 30 + 52 + 30 + 0 + 0 = 199 points, and the corresponding predicted risk for him to develop SAP was about 60% (Fig. 