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. 2022 Jul 28;49(9):5886–5898. doi: 10.1002/mp.15841

TABLE 2.

Clinical characteristics analysis for their prediction ability of potential severe patient

Variable Univariate analysis Multivariate analysis
OR (95% CI) p‐Value OR (95% CI) p‐Value
Sex 4.195 (1.326–13.268) 0.015* 19.982 (1.142–349.538) 0.0403*
Hypertension 19.8 (2.324–168.66) 0.006* 25.219 (0.55–1156.349) 0.098’
Diabetes 54147942.979 (0.0, Inf) 0.993
CVD 179898122.163 (0.0, Inf) 0.993
COPD 54147942.978 (0.0, Inf) 0.993
Cancer 19053830.527 (0.0, Inf) 0.990
Cough 0.833 (0.281, 2.474) 0.743
Myalgia 1.600 (0.542, 4.726) 0.395
Headche 1.083 (0.141, 8.307) 0.939
Emesis 3.900 (0.710, 21.417) 0.117
Dyspnea 8.100 (0.902, 72.708) 0.062
Age 1.115 (1.055, 1.179) <0.001* 1.08 (1.003–1.162) 0.041*
Temperature 0.971 (0.560, 1.683) 0.916
Respiratory_rate 1.045 (0.918, 1.191) 0.503
WBC 1.72(1.212‐2.441) 0.002* 1.881(1.083‐3.267) 0.025*
Lymphocyte 0.881 (0.461, 1.686) 0.703

Notes: Respiratory rate represented the initial respiratory rate on admission or on the day when visiting doctor. Influence factors that were statistically significant in the univariate logistic analysis were then included in the multivariate analysis. p‐Value showed the significance of group difference between severe and non‐severe.

Abbreviations: COPD, chronic obstructive pulmonary disease; CVD, cardiovascular diseases; bpm, breaths per min; OR, odd rate; WBC, white blood cells.