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Fig 1.

Radar plot displaying the coefficients of 1st and 2nd principal components derived by means of the principal component analysis.

The values shown in the Radar Plot correspond to the weight (importance) assigned to each questionnaire in the calculation of the two principal components [15].

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Fig 1 Expand

Table 1.

Baseline characteristics of patients (n = 541).

Values are expressed as median with Interquartile range or percentages.

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Table 1 Expand

Table 2.

Bivariable logistic regressions with FADOI-COMPLIMED scores as covariates.

Odds ratios show the risk associated with an increase of 10 units in FADOI-COMPLIMED scores.

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Table 2 Expand

Fig 2.

Surface plot showing the probability of in-hospital mortality (Fig 2a) and 1-year mortality (Fig 2b) as a function of FADOI-COMPLIMED score(s).

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Fig 2 Expand

Fig 3.

ROC curves for the MPI and FADOI-COMPLIMED score(s) predicting in-hospital mortality (Fig 3a) and 1-year mortality (Fig 3b), respectively.

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Fig 3 Expand

Table 3.

Comparison of prognostic models based on FADOI-COMPLIMED score(s) and MPI by means of ROC curves.

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Table 3 Expand