Extracorporeal membrane oxygenation (ECMO) has been utilized for critically ill patients, such as those with life-threatening respiratory failure or post-cardiotomy cardiogenic shock. This study compares the predictive value of Acute Physiology, Age, and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), and Organ System Failure (OSF) obtained on the first day of ECMO removal, and the Acute Kidney Injury Network (AKIN) stages obtained at 48 hours post-ECMO removal (AKIN_48-hour) in terms of hospital mortality for critically ill patients. This study reviewed the medical records of 119 critically ill patients successfully weaned from ECMO at the specialized intensive care unit of a tertiary-care university hospital between July 2006 and October 2010. Demographic, clinical, and laboratory data were collected retrospectively as survival predictors. Overall mortality rate was 26%. The most common condition requiring ECMO support was cardiogenic shock. By using the areas under the receiver operating characteristic (AUROC) curve, the Sequential Organ Failure Assessment (SOFA) score displayed good discriminative power (AUROC 0.805±0.055, p<0.001). Furthermore, multiple logistic regression analysis indicated that daily urine output on the second day of ECMO removal (UO_{24–48 hour}), mean arterial pressure (MAP), and SOFA score on the day of ECMO removal were independent predictors of hospital mortality. Finally, cumulative survival rates at 6-month follow-up differed significantly (p13. Following successful ECMO weaning, the SOFA score proved a reproducible evaluation tool with good prognostic abilities.

Background. End-stage liver disease is often complicated by renal function disturbances. Cirrhotic patients with acute renal failure admitted to intensive care units (ICUs) have high mortality rates. This work seeks to identify specific predictors of hospital mortality in critically ill cirrhotic patients with acute renal failure. Methods. A total of 111 patients with cirrhosis and acute renal failure were admitted to ICU from March 2003 to February 2005. Twenty-six demographic, clinical and laboratory variables were prospectively gathered as predictors of survival on the first day of ICU admission. Results. The overall hospital mortality rate was 81.1%. The univariate analysis identified 11 of the 32 variables as prognostically valuable. The multiple logistic regression analysis (excluding five scoring systems) indicates that the mean arterial pressure (MAP), serum bilirubin, respiratory failure and sepsis on the first day in ICU are significantly related to prognosis. The best Youden index (sensitivity + specificity − 1) yields cutoff points of 80 MAP (in mmHg) and 80 serum bilirubin (in μmol/L) (or 4.7 mg/dL) and indicates acute respiratory failure and sepsis. A simple model for mortality is developed on the basis of these four readily available parameters on Day 1 of ICU admission. The new score (MBRS score: MAP + bilirubin + respiratory failure + sepsis) displays an excellent area under the receiver operating characteristic curve (0.898 ± 0.031, P < 0.001). The mortality rate exceeds 90% when the MBRS (MAP + bilirubin + respiratory failure + sepsis) score is 2 or higher. Conclusion. The MBRS score is a straightforward, reproducible and easily adopted evaluative tool with good prognostic abilities, which generates objective data for patient families and physicians and supplements a clinical judgment of prognosis.

Acute kidney injury (AKI) developing during extracorporeal membrane oxygenation (ECMO) is associated with very poor outcome. The Kidney Disease: Improving Global Outcomes (KDIGO) group published a new AKI definition in 2012. This study analyzed the outcomes of patients treated with ECMO and identified the relationship between the prognosis and the KDIGO classification. This study examined total 312 patients initially, and finally reviewed the medical records of 167 patients on ECMO support at a tertiary care university hospital between March 2002 and November 2011. Demographic, clinical, and laboratory variables were retrospectively collected as survival predicators. The overall mortality rate was 55.7%. In the analysis of the areas under the receiver operating characteristic curves, the KDIGO classification showed relatively higher discriminatory power (0.840 ± 0.032) than the Risk of renal failure, Injury to the kidney, Failure of kidney function, Loss of kidney function, and End-stage renal failure (RIFLE) (0.826 ± 0.033) and Acute Kidney Injury Network (AKIN) (0.836 ± 0.032) criteria in predicting in-hospital mortality. Furthermore, multiple logistic regression analysis showed that KDIGO, hemoglobin, and Glasgow Coma Scale score on the first day of patients on ECMO were independent predictors for in-hospital mortality. Finally, cumulative survival rates at 6-month follow-up after hospital discharge differed significantly for KDIGO stage 3 versus KDIGO stage 0, 1, and 2 (p < 0.001); and KDIGO stage 2 versus KDIGO stage 0 (p < 0.05). For those patients with ECMO support, the KDIGO classification proved to be a more reproducible evaluation tool with excellent prognostic abilities than RIFLE or AKIN classification.