Extracorporeal membrane oxygenation for coronavirus disease 2019-associated acute respiratory distress syndrome:Report of two cases and review of the literature

BACKGROUND Coronavirus disease 2019(COVID-19),caused by severe acute respiratory syndrome coronavirus-2,is a worldwide pandemic.Some COVID-19 patients develop severe acute respiratory distress syndrome and progress to respiratory failure.In such cases,extracorporeal membrane oxygenation(ECMO)treatment is a necessary life-saving procedure.CASE SUMMARY Two special COVID-19 cases—one full-term pregnant woman and one elderly(72-year-old)man—were treated by veno-venous(VV)-ECMO in the Second People’s Hospital of Zhongshan,Zhongshan City,Guangdong Province,China.Both patients had developed refractory hypoxemia shortly after hospital admission,despite conventional support,and were therefore managed by VV-ECMO.Although both experienced multiple ECMO-related complications on top of the COVID-19 disease,their conditions improved gradually.Both patients were weaned successfully from the ECMO therapy.At the time of writing of this report,the woman has recovered completely and been discharged from hospital to home;the man remains on mechanical ventilation,due to respiratory muscle weakness and suspected lung fibrosis.As ECMO itself is associated with various complications,it is very important to understand and treat these complications to achieve optimal outcome.CONCLUSION VV-ECMO can provide sufficient gas exchange for COVID-19 patients with acute respiratory distress syndrome.However,it is crucial to understand and treat ECMO-related complications.

Value of combining the serum D-lactate, diamine oxidase, and endotoxin levels to predict gut-derived infections in cancer patients

Objective:This is a retrospective observational cohort study.The objective of this retrospective observational cohort study was to evaluate the value of the combined serum D-lactic acid,diamine oxidase(DAO),and endotoxin levels to predict intestinal barrier impairment and gut-derived infection(GDI)in cancer patients.Methods:Cancer patients receiving chemotherapy or palliative care treatment at our hospital were enrolled in the study.The serum concentrations of DAO,D-lactic acid,and endotoxin were determined using the intestinal barrier function biochemical index analysis system.The patients'infection information came from the hospital's Medicom Prescription Automatic Screening System and themedical records.Three hundred fifty-three cancer patients were included in the study(53.8%female,73.7%cancer stage IV,27.8%had bowel obstruction).Results:The total incidence of GDI was 33.4%(118/353).The median length of hospital stay was 16 days for patients with GDI,compared with 7 days for patients without GDI(P<0.001).The media hospitalization costs were¥27,362.35 for patients with GDI compared with¥11,614.08 for patients without GDI(P<0.001).The serum concentrations of DAO,D-lactic acid,and endotoxin were significantly higher in patients with GDI.As malignant bowel obstruction(MBO)worsened,the concentrations of DAO,D-lactic acid,and endotoxin increased.Multivariate logistic regression models revealed that the DAO,endotoxin,IL-6,and C-reactive protein levels were significantly associated with an increased risk of GDI.In addition,we also found a fivefold increased risk of infection in patients withMBO compared with those without bowel obstruction(OR=6.210,P<0.001).All of the areas under the receiver operating characteristic curve(AUCs)for DAO,D-lactate,and endotoxin to predict GDI were<0.7(AUC=0.648,P<0.001;AUC=0.624,P<0.01;AUC=0.620,P<0.01,respectively).However,when the parameters were combined(DAO+D-lactate+endotoxin),the predictive power increased significantly(AUC=0.797,P<0.001).Moreover,combining these intestinal barrier indicators and the presence of MBO had better power to predict GDI than either alone(AUC=0.837,P<0.001).Conclusions:Combining the serum DAO,D-lactic acid,and endotoxin levels was a better predictor of GDI than any of the indicators alone,and combining these with the diagnosis of MBO could further improve the efficacy for predicting GDI.