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. 2022 Jan 19;161(6):1651–1656. doi: 10.1016/j.chest.2022.01.019

Table 2.

Cox Regression Models of Variables That Influence Survival

Variable Hazard Ratio
Model 1 Model 2 Model 3
Presence of BMPR2-mutation 3.38a 1.153 3.529b
IL-6 1.318a 1.172 1.317a
NT-proBNP 1.0005a 1a 1b
Prevalent status 0.9267 1.226 0.929
Tumor necrosis factor-α 1.126 1.099 1.126
IL-8 1.051 1.065b 1.051
Mutation:IL-6 N/A 1.71b N/A
(2.94)b
Mutation:NT-proBNP N/A N/A 1
(1)
Akaike information criterion 173 171 174
Analysis of variance comparison Basis for comparison 0.08 0.926

For models 2 and 3, the estimated hazard ratios in rows 2 to 3 are those associated with per unit increase in IL-6 and NT-proBNP, respectively, for patients who are mutation-negative. By multiplying these values by the hazard ratios for the corresponding interaction terms, we can obtain estimates of the hazard ratios that are associated with IL-6 and NT-proBNP for patients who are BMPR2 mutation-positive (these data are provided in parentheses in the row below). AIC = Akaike information criterion; BMPR2 = bone morphogenetic protein receptor type-2; N/A = not available; NT-proBNP = N-terminal pro-B type natriuretic peptide.

a

P < .05

b

P < .1