Outcomes of Extracorporeal Membrane Oxygenation for Acute Respiratory Distress Syndrome in COVID-19 Patients: A Propensity-Matched Analysis.

It remains unclear to what extent the outcomes and complications of extracorporeal membrane oxygenation (ECMO) therapy in COVID-19 patients with acute respiratory distress syndrome (ARDS) differ from non-COVID-19 ARDS patients. In an observational, propensity-matched study, outcomes after ECMO support were compared between 19 COVID-19 patients suffering from ARDS (COVID group) and 34 matched non-COVID-19 ARDS patients (NCOVID group) from our historical cohort. A 1:2 propensity matching was performed based on respiratory ECMO survival prediction (RESP) score, age, gender, bilirubin, and creatinine levels. Patients' characteristics, laboratory parameters, adverse events, and 90-day survival were analyzed. Patients' characteristics in COVID and NCOVID groups were similar. Before ECMO initiation, fibrinogen levels were significantly higher in the COVID group (median: 493 vs. 364 mg/dL, p < 0.001). Median ECMO support duration was similar (16 vs. 13 days, p = 0.714, respectively). During ECMO therapy, patients in the COVID group developed significantly more thromboembolic events (TEE) than did those in the NCOVID group (42% vs. 12%, p = 0.031), which were mainly pulmonary artery embolism (PAE) (26% vs. 0%, p = 0.008). The rate of major bleeding events (42% vs. 62%, p = 0.263) was similar. Fibrinogen decreased significantly more in the COVID group than in the NCOVID group (p < 0.001), whereas D-dimer increased in the COVID group (p = 0.011). Additionally, 90-day mortality did not differ (47% vs. 74%; p = 0.064) between COVID and NCOVID groups. Compared with that in non-COVID-19 ARDS patients, ECMO support in COVID-19 patients was associated with comparable in-hospital mortality and similar bleeding rates but a higher incidence of TEE, especially PAE. In contrast, coagulation parameters differed between COVID and NCOVID patients.

Role of extracorporeal membrane oxygenation in critically Ill COVID-19 patients and predictors of mortality.

The role of extracorporeal membrane oxygenation (ECMO) in the management of critically ill COVID-19 patients remains unclear. Our study aims to analyze the outcomes and risk factors from patients treated with ECMO. This retrospective, single-center study includes 17 COVID-19 patients treated with ECMO. Univariate and multivariate parametric survival regression identified predictors of survival. Nine patients (53%) were successfully weaned from ECMO and discharged. The incidence of in-hospital mortality was 47%. In a univariate analysis, only four out of 83 pre-ECMO variables were significantly different; IL-6, PCT, and NT-proBNP were significantly higher in non-survivors than in survivors. The Respiratory Extracorporeal Membrane Oxygenation Survival Prediction (RESP) score was significantly higher in survivors. After a multivariate parametric survival regression, IL-6, NT-proBNP and RESP scores remained significant independent predictors, with hazard ratios (HR) of 1.069 [95%-CI: 0.986-1.160], P = .016 1.001 [95%-CI: 1.000-1.001], P = .012; and .843 [95%-CI: 0.564-1.260], P = .040, respectively. A prediction model comprising IL-6, NT-proBNP, and RESP score showed an area under the curve (AUC) of 0.87, with a sensitivity of 87.5% and 77.8% specificity compared to an AUC of 0.79 for the RESP score alone. The present study suggests that ECMO is a potentially lifesaving treatment for selected critically ill COVID-19 patients. Considering IL-6 and NT-pro-BNP, in addition to the RESP score, may enhance outcome predictions.

Predicting late anemia in critical illness.

INTRODUCTION: Identifying critically ill patients most likely to benefit from pre-emptive therapies will become increasingly important if therapies are to be used safely and cost-effectively. We sought to determine whether a predictive model could be constructed that would serve as a useful decision support tool for the pre-emptive management of intensive care unit (ICU)-related anemia. METHODS: Our cohort consisted of all ICU patients (n = 5,170) admitted to a large tertiary-care academic medical center during the period from 1 July 2000 to 30 June 2001. We divided the cohort into development (n = 3,619) and validation (n = 1,551) sets. Using a set of demographic and physiologic variables available within six hours of ICU admission, we developed models to predict patients who either received late transfusion or developed late anemia. We then constructed a point system to quantify, within six hours of ICU admission, the likelihood of developing late anemia. RESULTS: Models showed good discrimination with receiver operating characteristic curve areas ranging from 0.72 to 0.77, although predicting late transfusion was consistently less accurate than predicting late anemia. A five-item point system predicted likelihood of late anemia as well as existing clinical trial inclusion criteria but resulted in pre-emptive intervention more than two days earlier. CONCLUSION: A rule-based decision support tool using information available within six hours of ICU admission may lead to earlier and more appropriate use of blood-sparing strategies.