Additional file 1 of Untargeted metabolomic on urine samples after α-lipoic acid and/or eicosapentaenoic acid supplementation in healthy overweight/obese women

: Figure S1. Principal component analysis (PCA) of untargeted metabolomics analysis of urine samples, including CONTROL (red), EPA (green), LA (dark blue), EPA+LA (light blue) groups. A) PCA in positive ionization mode (ESI+). B) PCA in negative ionization mode (ESI-). (DOCX 199 kb

Performance of ImCUSS, SAPS II and SAPS 3.

<p>* SMR: Standardized Mortality Ratio.</p><p>^₸ GOF: Goodness-Of-Fit.</p><p>³ AUROC: Area Under Receiver Operating Characteristic Curve</p><p>¹ Performance in the validation cohort (n = 189).</p><p>² Performance in the whole cohort (n = 743).</p><p>Performance of ImCUSS, SAPS II and SAPS 3.</p

Patient characteristics and complementary data.

<p>* All the remaining variables including diabetes, dyslipidemia, heart failure, previous coronary heart disease, heart arrhythmia, neurologic illness, body mass index, temperature, pH, sodium, potassium, magnesium and GPT were not statistically significant. Some variables described as continuous were also studied as polychotomous and dichotomous ones.</p><p>¹ ICU: Intensive Care Unit.</p><p>² COPD: Chronic Obstructive Pulmonary Disease.</p><p>³ BP: Blood Pressure.</p><p>⁴ NIV: Non-invasive Ventilation.</p><p>⁵ ESRD: End-Stage Renal Disease.</p><p>⁶ SBP: Systolic Blood Pressure.</p><p>⁷ ImCU: Intermediate Care Unit.</p><p>Patient characteristics and complementary data.</p

ImCUSS receiver operating characteristic curve (ROC) for mortality in the validation cohort (n = 189).

<p>ImCUSS receiver operating characteristic curve (ROC) for mortality in the validation cohort (n = 189).</p

Calibration curve based on the Hosmer and Lemeshow goodness-on-fit C test for SAPS II.

<p>Calibration curve based on the Hosmer and Lemeshow goodness-on-fit C test for SAPS II.</p

Receiver operating characteristic curve (ROC) for SAPS II and SAPS 3.

<p>Receiver operating characteristic curve (ROC) for SAPS II and SAPS 3.</p

Mortality prediction model—using maximum likelihood estimation logistic regression.

<p>* SE: Standard Error</p><p>^₸ OR: Odds Ratio</p><p>³ CI: Confidence Interval</p><p>¹ NIV: Non-invasive ventilation</p><p>Mortality prediction model—using maximum likelihood estimation logistic regression.</p

Calibration curve based on the Hosmer and Lemeshow goodness-on-fit C test for SAPS 3.

<p>Calibration curve based on the Hosmer and Lemeshow goodness-on-fit C test for SAPS 3.</p

Receiver Operating Characteristic curves in the different prognostic models.

<p>(A) SAPS II and SAPS II-CNIV. (B) SAPS 3 and SAPS 3-CNIV.</p

Clinical application of SAPS 3-CNIV: Death probability according to customized scores.

<p>Clinical application of SAPS 3-CNIV: Death probability according to customized scores.</p