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. 2021 Mar;13(3):1517–1530. doi: 10.21037/jtd-20-2790

Table 5. Univariate linear regression models of the impact of duration of hospitalization and severity on quantitative CT-based airway dimension in patients with COVID-19 at the convalescent stage.

Variables β 95% CI P value
Lower limit Upper limit
Duration of hospitalization
   1st gen. WA (%) −0.0010 −0.0017 −0.0003 0.004
   2nd gen. WA (%) −0.0013 −0.0020 −0.0006 0.001
   3rd gen. WA (%) −0.0016 −0.0025 −0.0007 0.001
   4th gen. WA (%) −0.0012 −0.0018 −0.0006 0.000
   5th gen. WA (%) −0.0010 −0.0015 −0.0005 0.000
   6th gen. WA (%) −0.0008 −0.0013 −0.0004 0.000
   7th gen. WA (%) −0.0005 −0.0012 0.0002 0.133
   8th gen. WA (%) −0.0005 −0.0010 0.0001 0.110
   Pi10 (mm) 0.0006 −0.0028 0.0041 0.717
Severity
   1st gen. WA (%)§ −0.0121 −0.0241 −0.0001 0.049
   2nd gen. WA (%)§ −0.0107 −0.0241 0.0028 0.118
   3rd gen. WA (%)§ −0.0175 −0.0344 −0.0006 0.043
   4th gen. WA (%)§ −0.0151 −0.0272 −0.0029 0.016
   5th gen. WA (%)§ −0.0076 −0.0171 0.0020 0.119
   6th gen. WA (%)§ −0.0063 −0.0148 0.0021 0.140
   7th gen. WA (%)§ 0.0016 −0.0105 0.0136 0.796
   8th gen. WA (%) 0.0036 −0.0062 0.0133 0.466
   Pi10 (mm)§ 0.0452 −0.0152 0.1056 0.140

Sample size of the models: , denotes n=68; , denotes n=67; §, denotes n=69. CI, confidence interval; WA%, wall area fraction; gen., generation; Pi10, internal airway perimeter of 10 mm.