Influence of immunosuppression in patients with severe acute respiratory distress syndrome on veno-venous extracorporeal membrane oxygenation therapy.
Jonathan RilingerViviane ZotzmannXavier BemtgenSiegbert RiegPaul M BieverDaniel DuerschmiedTorben PottgiesserKlaus KaierChristoph BodeDawid L StaudacherTobias WengenmayerPublished in: Artificial organs (2021)
Prognosis of patients suffering from acute respiratory distress syndrome (ARDS) is poor. This is especially true for immunosuppressed patients. It is controverisal whether these patients should receive veno-venous extracorporeal membrane oxygenation (VV ECMO) while evidence on this topic is sparse. We report retrospective data of a single-center registry of patients with severe ARDS requiring ECMO support between October 2010 and June 2019. Patients were analyzed by their status of immunosuppression. ECMO weaning success and hospital survival were analyzed before and after propensity score matching (PSM). Moreover, ventilator free days (VFD) were compared. A total of 288 patients were analyzed (age 55 years, 67% male), 88 (31%) presented with immunosuppression. Survival rates were lower in immunosuppressed patients (27% vs. 53%, P < .001 and 27% vs. 48% after PSM, P = .006). VFD (60 days) were lower for patients with immunosuppression (11.9 vs. 22.4, P < .001), and immunosuppression was an independent predictor for mortality in multivariate analysis. Hospital survival was 20%, 14%, 35%, and 46% for patients with oncological malignancies, solid organ transplantation, autoimmune diseases, and HIV, respectively. In this analysis immunosuppression was an independent predictor for mortality. However, there were major differences in the weaning and survival rates between the etiologies of immunosuppression which should be considered in decision making.
Keyphrases
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- end stage renal disease
- mechanical ventilation
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- healthcare
- emergency department
- prostate cancer
- type diabetes
- machine learning
- bone marrow
- hepatitis c virus
- respiratory failure
- patient reported outcomes
- coronary artery disease
- intensive care unit
- minimally invasive
- electronic health record
- human immunodeficiency virus
- big data
- south africa
- acute care
- neural network