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. 2019 Nov 25;19:298. doi: 10.1186/s12883-019-1497-x

Table 1.

Statistical analysis of clinical characteristics between two groups

Variables Non-SAP SAP χ2 OR P value
Elderly age (≥75 years old) 396 (16.8%) 87 (43.5%) 85.402 3.803 < 0.001
Male sex 1635 (69.5%) 133 (66.5%) 0.787 1.148 0.375
Atrial fibrillation 121 (5.1%) 50 (25.0%) 116.239 6.146 < 0.001
Dysphagia 389 (16.5%) 51 (25.5%) 10.373 1.727 0.001
NIHSS score (≥16 points)* 12 (0.5%) 33 (16.5%) < 0.001
NIHSS score (5–15 points)* 742 (31.5%) 114 (57.0%) < 0.001
NIHSS score (0–4 points)* 1598 (67.9%) 53 (26.5%) < 0.001
Random hyperglycemia 257 (10.9%) 35 (17.5%) 7.860 1.729 0.005
Fasting hyperglycemia 566 (24.1%) 95 (47.5%) 52.747 2.855 < 0.001
Random or fasting hyperglycemia 619 (26.3%) 99 (49.5%) 48.992 2.744 < 0.001
Posterior circulation infarction 772 (32.8%) 71 (35.5%) 0.597 1.126 0.440

NIHSS, National Institutes of Health Stroke Scale

*NIHSS scores was compared using nonparametric tests

There was no significant difference in gender and infarction site between the SAP group and non-SAP group (P > 0.05). The incidence of SAP in patients with the following factor(s) was significantly higher than that in patients without the following factor(s) (P < 0.05): elderly age (≥75 years old), atrial fibrillation, dysphagia, random hyperglycemia, fasting hyperglycemia, or random or fasting hyperglycemia. Therefore, these factors were considered as potential risk factors for SAP. These patients were classified into three subgroups according to stroke severity (NIHSS score), and there was a statistically significant difference in the incidence of pneumonia among these three subgroups (P < 0.05)