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. 2021 Mar 2;10(5):1021. doi: 10.3390/jcm10051021

Table 5.

Predicting factors for DLco in the post-discharge period.

Unstandardized Coefficient Standardized Coefficient 95% CI p-Value
Model 1
(adj R2: 0.786)
FEV1 %pred −0.043 −0.050 −0.442–0.355 0.820
VC %pred 0.227 0.235 −0.294–0.748 0.368
TSS, points −0.623 −0.155 −1.877–0.632 0.307
Lg10 D-dimer −18.675 −0.655 −28.373– −9.076 0.001
Model 2
(adj R2: 0.786)
FEV1 %pred −0.026 −0.030 −0.426–0.373 0.868
VC %pred 0.161 0.167 −0.374–0.697 0.172
TSS, points −0.426 −0.106 −1.710–0.859 0.209
D-dimer ≥ 1000 FEU −22.849 −0.716 −34.594– −11.105 0.001

Multiple regression analysis models for predicting DLco % predicted at follow up. Having a D-dimer > 1000 at admission is associated with a DLco reduction of 22% at 6 weeks post-discharge. Variables significantly different at the univariate analysis (FEV1, VC, TSS, and D-dimer) were used for the linear regression analysis. FVC was excluded from the model because it is intrinsically highly correlated with VC (see legend of Figure 4 for details). CI = confidence interval; FEV1 = forced expiratory volume in one second; VC = vital capacity; TSS = total severity score