22 research outputs found
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><sup>1</sup> ICU: Intensive Care Unit.</p><p><sup>2</sup> COPD: Chronic Obstructive Pulmonary Disease.</p><p><sup>3</sup> BP: Blood Pressure.</p><p><sup>4</sup> NIV: Non-invasive Ventilation.</p><p><sup>5</sup> ESRD: End-Stage Renal Disease.</p><p><sup>6</sup> SBP: Systolic Blood Pressure.</p><p><sup>7</sup> ImCU: Intermediate Care Unit.</p><p>Patient characteristics and complementary data.</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
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
Performance of ImCUSS, SAPS II and SAPS 3.
<p>* SMR: Standardized Mortality Ratio.</p><p><sup>âž</sup> GOF: Goodness-Of-Fit.</p><p><sup>3</sup> AUROC: Area Under Receiver Operating Characteristic Curve</p><p><sup>1</sup> Performance in the validation cohort (n = 189).</p><p><sup>2</sup> Performance in the whole cohort (n = 743).</p><p>Performance of ImCUSS, SAPS II and SAPS 3.</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
Mortality prediction modelâusing maximum likelihood estimation logistic regression.
<p>* SE: Standard Error</p><p><sup>âž</sup> OR: Odds Ratio</p><p><sup>3</sup> CI: Confidence Interval</p><p><sup>1</sup> NIV: Non-invasive ventilation</p><p>Mortality prediction modelâusing 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
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
Logistic regression and score customization for SAPS II.
<p>*Immunosuppression as described in SAPS 3: Use of chemotherapy, radiotherapy, immunosuppressive drugs or corticosteroids in the last 6 months</p><p>Logistic regression and score customization for SAPS II.</p
Univariate analysis of new variables for NIV mortality prediction.
<p>Values are expressed as mean (standard deviation), unless otherwise stated.</p><p>*COPD/hypoxemic ARF/APE/Neuromuscular disease</p><p><sup>â </sup>p of comparison between subgroups was calculated with t-Student and chi square tests</p><p>Univariate analysis of new variables for NIV mortality prediction.</p