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. 2022 Feb 24;170:118–127. doi: 10.1016/j.amjcard.2022.01.030

Table 2.

Associations between serial biomarkers over time and survival in mechanically ventilated patients with COVID-19

Log(hs-cTnT)
Log(CK)
Log(CK-MB)
Log(NT-proBNP)
Model Regression Coefficient(95% CI) p Value Regression Coefficient (95% CI) p Value Regression Coefficient (95% CI) p Value Regression Coefficient (95% CI) p Value
Model 1
ICU-nonsurvivor (reference) ref ref ref ref ref ref ref ref
ICU-survivor* −0.93 (−1.37; −0.49) <0.001 −0.20 (−0.57; 0.17) 0.289 −0.41 (−0.70; −0.13) 0.005 −0.39 (−0.96; 0.19) 0.182
Interaction between group and time 0.01 (−0.01; 0.03) 0.348 0.03 (0.01; 0.06) 0.059 0.02 (0.00; 0.03) 0.049 −0.08 (−0.11; −0.04) <0.001
Model 2
ICU-nonsurvivor (reference) ref ref ref ref ref ref ref ref
ICU-survivor* −0.74 (−1.17; −0.30) 0.001 −0.18 (−0.55; 0.20) 0.360 −0.29 (−0.57; 0.00) 0.048 −0.32 (−0.90; 0.26) 0.279
Interaction between group and time 0.01 (−0.01; 0.03) 0.449 0.04 (0.01; 0.06) 0.003 0.02 (0.00; 0.03) 0.059 −0.08 (−0.11; −0.05) <0.001
Model 3
ICU-nonsurvivor (reference) ref ref ref ref ref ref ref ref
ICU-survivor* −0.66 (−1.08; −0.24) 0.003 −0.14 (−0.52; 0.24) 0.460 −0.25 (−0.52; 0.03) 0.084 −0.28 (−0.85; 0.29) 0.331
Interaction between group and time 0.01 (−0.02; 0.03) 0.560 0.03 (0.01; 0.06) 0.005 0.01 (0.00; 0.03) 0.088 −0.08 (−0.11; −0.05) <0.001
Model 4
ICU-nonsurvivor (reference) ref ref ref ref ref ref ref ref
ICU-survivor* −0.47 (−0.95; 0.00) 0.049 −0.03 (−0.41; 0.35) 0.871 −0.13 (−0.40; 0.14) 0.342 −0.10 (−0.62; 0.43) 0.717
Interaction between group and time 0.01 (−0.02; 0.03) 0.588 0.01 (0.03; 0.05) 0.014 0.02 (0.00; 0.03) 0.179 −0.08 (−0.12; −0.05) <0.001
Model 5
ICU-nonsurvivor (reference) ref ref ref ref ref ref ref ref
ICU-survivor* −0.55 (−1.04; −0.07) 0.028 −0.09 (−0.47; 0.29) 0.634 −0.15 (−0.42; 0.12) 0.284 −0.13 (−0.67; 0.40) 0.631
Interaction between group and time 0.01 (−0.02; 0.03) 0.511 0.03 (0.01; 0.06) 0.008 0.02 (0.00; 0.03) 0.161 −0.08 (−0.12; −0.05) <0.001

Biomarker data were log-transformed for reasons of normality and skewed residuals.

Results of the linear mixed-effects models show the difference in log-biomarker development over time between ICU survivors and ICU nonsurvivors, with ICU nonsurvivors as the reference category. Data are regression coefficients (β) with 95% confidence intervals (CIs). The regression coefficient β indicates the mean difference in log biomarker over time. The regression β for the between-group and time interaction indicates the changes in log biomarker over time between ICU survivors and ICU nonsurvivors (with ICU nonsurvivors as reference: ref). Model 1 is the crude model; model 2 adjusts for gender and age; model 3 additionally adjusts for APACHE-II score at baseline; model 4 also adjusts for daily creatinine concentration; model 5 also adjusts for smoking status, the presence of hypertension, diabetes, and obesity.

APACHE = Acute Physiology and Chronic Health Evaluation; CI = confidence interval; ICU = intensive care unit.

A negative regression coefficient indicates that the average log-biomarker concentration of survivors at day 1 is lower compared with the nonsurvivors.

A negative regression coefficient for the interaction term indicates that the log-biomarker concentration of survivors decreases more over time compared with the nonsurvivors. (i.e., the interaction between group and time models the change over time for both groups separately).