Regression Equations

Probability of Death/ Too Sick For Transplant (pre-LAS) $$\begin{gathered} =0.41+(-0.30)(\mathit{\text{White race}})+(0.09)(\mathit{\text{Female gender}})+ \\ \left\{\begin{array}{c}\hfill -0.17(\mathit{\text{blood}}A)\hfill \\ \hfill -0.02(\mathit{\text{blood}}AB)\hfill \\ \hfill -0.16(\mathit{\text{blood}}B)\hfill \end{array}\right\}+\left\{\begin{array}{c}\hfill 0.07(\mathit{\text{Midwest region}})\hfill \\ \hfill 0.56(\mathit{\text{Northeast region}})\hfill \\ \hfill -0.35(\mathit{\text{Southeast region}})\hfill \end{array}\right\}+(-0.009)(\mathit{\text{age}})+\left\{\begin{array}{c}\hfill -0.97(\mathit{\text{group A}}A)\hfill \\ \hfill 0.92(\mathit{\text{group B}})\hfill \\ \hfill -0.16(\mathit{\text{group C}})\hfill \end{array}\right\}+(-0.17)(\mathit{\text{no DM}})+\left\{\begin{array}{c}\hfill 0.12(\mathit{\text{Medicaid ins}})\hfill \\ \hfill 0.046(\mathit{\text{Medicare ins}})\hfill \\ \hfill 0.058(\mathit{\text{Other ins}})\hfill \end{array}\right\} \end{gathered}$$ Probability of Transplant (pre-LAS) $$\begin{gathered} =-0.41+(0.30)(\mathit{\text{White race}})+(-0.09)(\mathit{\text{Female gender}})+ \\ \left\{\begin{array}{c}\hfill 0.17(\mathit{\text{blood}}A)\hfill \\ \hfill 0.02(\mathit{\text{blood}}AB)\hfill \\ \hfill 0.16(\mathit{\text{blood}}B)\hfill \end{array}\right\}+\left\{\begin{array}{c}\hfill -0.07(\mathit{\text{Midwest region}})\hfill \\ \hfill -0.56(\mathit{\text{Northeast region}})\hfill \\ \hfill 0.35(\mathit{\text{Southeast region}})\hfill \end{array}\right\}+(0.009)(\mathit{\text{age}})+\left\{\begin{array}{c}\hfill 0.97(\mathit{\text{group}}A)\hfill \\ \hfill -0.92(\mathit{\text{group}}B)\hfill \\ \hfill 0.16(\mathit{\text{group}}C)\hfill \end{array}\right\}+(0.17)(\mathit{\text{no DM}})+\left\{\begin{array}{c}\hfill -0.12(\mathit{\text{Medicaid ins}})\hfill \\ \hfill -0.046(\mathit{\text{Medicare ins}})\hfill \\ \hfill -0.058(\mathit{\text{Other ins}})\hfill \end{array}\right\} \end{gathered}$$ Probability of Death/ Too Sick For Transplant (LAS) $$\begin{gathered} =-3.11+(0.03)(\mathit{\text{White race}})+(0.24)(\mathit{\text{Female gender}})+ \\ \left\{\begin{array}{c}\hfill -0.098(\mathit{\text{blood}}A)\hfill \\ \hfill 0.16(\mathit{\text{blood}}AB)\hfill \\ \hfill -0.16(\mathit{\text{blood}}B)\hfill \end{array}\right\}+\left\{\begin{array}{c}\hfill 0.18(\mathit{\text{Midwest region}})\hfill \\ \hfill 0.10(\mathit{\text{Northeast region}})\hfill \\ \hfill -0.10(\mathit{\text{Southeast region}})\hfill \end{array}\right\}+(-0.0007)(\mathit{\text{Age}})+\left\{\begin{array}{c}\hfill -0.47(\mathit{\text{group}}A)\hfill \\ \hfill 0.75(\mathit{\text{group}}B)\hfill \\ \hfill -0.02(\mathit{\text{group}}C)\hfill \end{array}\right\}+(0.035)(\mathit{\text{no DM}})+\left\{\begin{array}{c}\hfill 0.29(\mathit{\text{Medicaid ins}})\hfill \\ \hfill -0.11(\mathit{\text{Medicare ins}})\hfill \\ \hfill -0.026(\mathit{\text{Other ins}})\hfill \end{array}\right\}+(0.04)(\mathit{\text{LAS}}) \end{gathered}$$ Probability of Transplant (LAS) $$\begin{gathered} =3.11+(-0.03)(\mathit{\text{White race}})+(-0.24)(\mathit{\text{Female gender}})+ \\ \left\{\begin{array}{c}\hfill 0.098(\mathit{\text{blood}}A)\hfill \\ \hfill -0.16(\mathit{\text{blood}}AB)\hfill \\ \hfill 0.16(\mathit{\text{blood}}B)\hfill \end{array}\right\}+\left\{\begin{array}{c}\hfill -0.18(\mathit{\text{Midwest region}})\hfill \\ \hfill -0.10(\mathit{\text{Northeast region}})\hfill \\ \hfill 0.10(\mathit{\text{Southeast region}})\hfill \end{array}\right\}+(0.0007)(\mathit{\text{Age}})+\left\{\begin{array}{c}\hfill 0.47(\mathit{\text{group}}A)\hfill \\ \hfill -0.75(\mathit{\text{group}}B)\hfill \\ \hfill 0.02(\mathit{\text{group}}C)\hfill \end{array}\right\}+(-0.035)(\mathit{\text{no DM}})+\left\{\begin{array}{c}\hfill -0.29(\mathit{\text{Medicaid ins}})\hfill \\ \hfill 0.11(\mathit{\text{Medicare ins}})\hfill \\ \hfill 0.026(\mathit{\text{Other ins}})\hfill \end{array}\right\}+(-0.04)(\mathit{\text{LAS}}) \end{gathered}$$

Abbreviations: blood=blood group; group=diagnostic group; DM=diabetes mellitus; Ins=insurance; LAS=lung allocation score.