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Table 1.

Characteristics of patients.

Medians and interquartile range were calculated over all variables measurements. Q1 –Q3 = interquartile range PCT: procalcitonin; SOFA: daily Sequential Organ Failure Assessment; CPIS: Clinical Pulmonary Infection Score; GCS: Glasgow Coma Scale.

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Table 1 Expand

Table 2.

Results of LME models with shift parameter 0: P-value of F-test on the slope parameters, AIC, ratios between the standard deviation of the random effect and the fixed effect of the intercept and the slope.

All models have been developed using the same number of observations (649) grouped by patients. The AIC can be used to compare models with the same dependent variable. AIC: Akaike Information Criterion; LME: Linear Multiple-Effect; SOFA: daily Sequential Organ Failure Assessment; CPIS: Clinical Pulmonary Infection Score.

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Table 2 Expand

Table 3.

Results of LME models with shift parameter -1: P-value of F-test on the slope parameters, AIC, ratios between the standard deviation of the random effect and the fixed effect of the intercept and the slope.

All models have been developed using the same number of observations (594) grouped by patients. The AIC can be used to compare models with the same dependent variable. LME: Linear Multiple-Effect; AIC: Akaike Information Criterion [18].

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Table 3 Expand

Fig 1.

AIC of LME models with the biomarker measured two days before, one day before, the same day, the day after the score measurement (-2, -1, 0, and +1 on the x-axis).

In panel A, we illustrate AIC values for LME models analyzing PCT and SOFA. In panels B, C, and D, the AIC values for the models correlating MR-proADM with SOFA, Pitt, and CPIS respectively. AIC: Akaike Information Criterion; LME: Linear Multiple-Effect; SOFA: daily Sequential Organ Failure Assessment; CPIS: Clinical Pulmonary Infection Score.

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Fig 1 Expand