Objective To analyze the pathogenic fungus distribution and the risk factors affecting the prognosis in patients with bloodstream infection critically ill sepsis in intensive care unitso as to provide evidence for clinical treatment. Methods From January 2008 to January 2015 , the clinic data of patients with severe sepsis and septic shock were retrospectively studied. The factors affecting the prognosiswere found out using a multivariate logistic regression analysis. Results From January 2008 to January 2015 , there were 870 bloodstream infection critically ill sepsis. Risk factors affecting the prognosis of critically ill sepsis patients were as follows: serum albumin, age, APACHEⅡ and procalcitonin. Conclusion Bloodstream infection critically ill sepsis in intensive care unit contributes a high motality. APACHEⅡ, age, blood lactate, procalcitonin , blood lactate and serum albumin are the risk factors affecting the prognosis of critically ill sepsis patients.

Objective To find out risk factors affecting the prognosis of adult cardiogenic shock patients treated with extracorporeal membrane oxygenation.Methods From January 2003 to December 2010,patients with cardiogenic shock required veno-arterial ECMO after failure of conventional therapy and intra-aortic balloon pump counterpulsation therapy were retrospectively studied. Patients with severe traumatic brain injury,advanced malignancies and multiple organ failure were excluded.All patients were divided into survival group and death group.The risk factors were found out using one-way ANOVA and a multivariate logistic regression analysis was used to determine independent factors associated with survival.Results Thirty-one patients successfully weaned from ECMO. Twenty-two patients were successfully discharged.The average duration of ECMO was 41.56 ± 43.07 hours.Factors associated with failure of hospital discharge were age,pre-ECMO levels of ejection fraction,pre-ECMO levels of lactate,disseminated intravascular coagulation,renal failure and multiorgan failure (P ＜ 0.05). Conclusions Irreversible heart failure and the complications are significantly correlated with survival,and the early use of ECMO for cardiogenic shock and recognize the factors are key to the success of ECMO treatment.

Objective To summarize the clinical experience of extracorporeal membrane oxygenation (ECMO) treatment for adult acute respiratory distress syndrome (ARDS) caused by lung infections,so as to explore the clinical efficacy and application value of ECMO.Methods The patients with 7 ARDS who were responded poorly to mechanical ventilation in Zhongshan Affiliated Hospital of Sun Yat-sen University from January 2003 to January 2015 were collected.All patients were divided into a study group (7 cases) treated by ECMO and a control group (7 cases) treated by traditional methods.The percutaneous incision on femoral vein-internal jugular vein (V-V) was selected to carry out ECMO intubation,and the V-V ECMO model was used for auxiliary bypass of flow.The comparisons between the two groups for the results of hemodynamics,blood-gas analysis and oxygen metabolism were performed to evaluate synthetically the adjuvant effects of ECMO.Results Seven ARDS patients caused by lung infections were treated by ECMO,including 4 cases with bacterial pneumonia,2 cases with H7N9 and 1 case with H1N1.Thc duration of ECMO was (21.00 ± 10.06) days;2 cases were weaned from ECMO successfully,and 1 case recovered and discharged.Seven cases with ARDS caused by severe lung bacterial infections in control group were all not recovered on discharge.After treatment,the heart rate (HR),pulmonary arterial wedge pressure (PCWP),venous partial pressure of oxygen (PvO2),arterial blood lactic acid (Lac) in study group were significantly lower than those in the control group [HR (bpm)was 100± 12 vs.120± 19,PCWP (mmHg,1 mmHg =0.133 kPa) was 8.8 ± 2.6 vs.11.6± 3.8,PvCO2 (mmHg) was 40.8 ± 13.1 vs.48.9 ± 16.2,Lac (mmol/L) was 2.1 ± 0.8 vs.5.2 ± 0.6,all P ＜ 0.05],the mean arterial pressure (MAP),cardiac output index (CI),arterial and venous blood pH values,arterial partial pressure of oxygen (PaO2),arterial partial pressure carbon dioxide (PaCO2),arterial oxygen saturation (SaO2),oxygen delivery (DO2),oxygen consumption (VO2),oxygen extraction (ERO2) were obviously higher in study group than those control group [MAP (mmHg) was 83.6 ± 8.2 vs.72.2 ± 94,CI (mL· s-1 · m-2) was 93.35 ± 3.33 vs.81.68 ± 8.33,pH of arterial blood was 7.4 ± 0.1 vs.7.1 ± 0.3,PaO2 (mmHg):98.5 ± 20.4 vs.49.3 ± 12.6,PaCO2 (mmHg):38.9 ± 16.2 vs.26.1 ± 17.4,SaO2:0.95 ± 0.02 vs.0.58 ± 0.04,pit of venous blood was 7.1 ± 0.2 vs.6.4 ± 0.3,PvCO2 (mmHg) was 40.8 ± 13.1 vs.48.9 ± 16.2,SvO2 was 0.75 ± 0.07 vs.0.49 ± 0.08,DO2 (mL· min-1 · m-2) was 651 ± 36 vs.400 ± 81,VO2 (mL· min-1 · m-2) was 245.0 ± 11.2 vs.103.0 ± 14.8,ERO2 was (35.6± 3.9)％ vs.(21.3± 5.2)％,all P ＜ 0.05].Conclusions ECMO can improve hypoxemia.So it can improve the metabolism and maintain hemodynamic stability,in the mean time the patients may gain more time for diagnosis and treatment of their primary lung diseases.The key points of a successful ECMO are suitable selection of patients and forceful prevention of complications.

Human infection with avian influenza A (H7N9) is easy to induce severe acute respiratory distress syndrome (ARDS), and traditional mechanical ventilation cannot correct hypoxemia, so patients may die from multiple organ failure (MOF) caused by persistent hypoxia. Extracorporeal membrane oxygenation (ECMO) can provide effective respiratory support and win time for the treatment of severe H7N9. The first case of severe H7N9 in Guangdong Province in 2018 was admitted to Zhongshan Hospital Affiliated to Sun Yat-sen University. The case was insult with severe ARDS caused by H7N9, the traditional mechanical ventilation could not correct hypoxemia, and the lung condition gradually improved with ECMO assistance. After 13 days of ECMO support, the patient was successfully weaned from ECMO and was transferred to a general ward after 55 days. After 102 days of rehabilitation, the patient was discharged from hospital and followed up for 2 months, who was in good health and had a good quality of life. This article states the diagnosis and treatment of severe H7N9 in details, providing experience for the treatment of severe H7N9 in the future.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Objective To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation(VA-ECMO).Methods We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January,2015 and January,2022 using a convenience sampling method.The patients were divided into a derivation cohort(201 cases)and a validation cohort(101 cases).Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients,based on which a risk prediction model was established in the form of a nomogram.The receiver operator characteristic(ROC)curve,calibration curve and clinical decision curve were used to evaluate the discrimination ability,calibration and clinical validity of this model.Results The in-hospital mortality risk prediction model was established based the risk factors including hypertension(OR=3.694,95%CI:1.582-8.621),continuous renal replacement therapy(OR=9.661,95%CI:4.103-22.745),elevated Na2+ level(OR=1.048,95%CI:1.003-1.095)and increased hemoglobin level(OR=0.987,95%CI:0.977-0.998).In the derivation cohort,the area under the ROC curve(AUC)of this model was 0.829(95%CI:0.770-0.889),greater than those of the 4 single factors(all AUC<0.800),APACHE Ⅱ Score(AUC=0.777,95%CI:0.714-0.840)and the SOFA Score(AUC=0.721,95%CI:0.647-0.796).The results of internal validation showed that the AUC of the model was 0.774(95%CI:0.679-0.869),and the goodness of fit test showed a good fitting of this model(χ2=4.629,P>0.05).Conclusion The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation,calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system,and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.