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. 2022 Nov 10;86:104344. doi: 10.1016/j.ebiom.2022.104344

Table 4.

Multivariable logistic regression model incorporating LN-RPV and clinical features in the training set (n = 586, arranged by p value).

Variable Beta OR (95% CI) P value
LN-RPV 0.25 1.28 (1.21–1.35) <0.001
Herder 0.004 1.00 (1.00–1.01) <0.001
Density – subsolid 0.23 1.26 (1.16–1.37) <0.001
Density – GGO 0.21 1.24 (1.09–1.40) <0.001
Extra-thoracic cancer 0.08 1.09 (1.01–1.18) 0.03
Absent lung disease 0.06 1.06 (1.00–1.13) 0.09
Brock −0.001 1.00 (1.00–1.00) 0.63

The Brock score and absent lung disease lost significance in multivariable testing. LN-RPV, subsolid and GGO density had the highest beta coefficients. Abbreviations: GGO, Ground-glass opacity; OR, Odds ratio; CI, Confidence interval.