Objective:The aim of this study was to investigate whether the Model for end-stage liver disease-excluding international normalised ratio ( MELD-XI) score whether it can predict the prognosis of patients on veno-arterial extracorporeal membrane oxygenation support.Methods:This study was a retrospective cohort study, which retrospectively included clinical data data of patients using ECMO from January 2015 to December 2023 in Fuwai Huazhong Cardiovascular Disease Hospital. Inclusion criteria: 1. clinical patients using VA-ECMO, excluding VAV-ECMO and VV-ECMO; 2. available laboratory values of blood creatinine and total bilirubin within the first 24 hours of on-boarding; 3. complete basic information of the patients; and 4. age greater than 18 years. Exclusion criteria: 1. patients whose family members abandoned the treatment due to economic reasons; 2. on-boarding time less than 24 hours; 3. patients with incomplete clinical information or patients who did not have a detailed record of general information on VA-ECMO. Using X-tile software, they were divided into MELD-XI score ≤13.9 and MELD-XI score >13.9 groups, and variables with P < 0.05 were included in the binary logistic regression model after using univariate analysis. Results:: Univariate analysis of 940 patients revealed that the MELD-XI score ≤13.9 group compared with the MELD-XI score >13.9 group had a significant difference in the success of machine withdrawal ( χ2=31.812, P<0.001), death while the machine was in operation ( χ2=52.453, P<0.001), death after machine withdrawal ( χ2=4.210, P=0.040), cerebral thrombotic complications ( χ2=4.319, P=0.038), lower extremity thrombotic complications ( χ2=8.789, P=0.003), and CRRT use ( χ2=15.648, P<0.001), length of boarding (Z=-17.786, P<0.001), length of hospital stay (Z=-17.503, P<0.001), and length of ICU stay ( Z=-18.790, P<0.001) were significantly different. Multifactorial binary logistic regression showed that successful machine withdrawal ( OR=2.078, 95% CI:1.158-3.731, P=0.014), death while the machine was running ( OR=0.271, 95% CI:0.144-0.512, P<0.001), CRRT use ( OR=3.227, 95% CI:1.659-6.474, P=0.001), length of hospital stay ( OR=1.138, 95% CI:1.107-1.171, P<0.001), length of boarding ( OR=1.035, 95% CI:1.027-1.043, P<0.001), ICU stay ( OR=1.365, 95% CI:1.278-1.458, P < 0.001) are independent influencing factor for VA-ECMO support patients. Kaplan-Meier curve analysis showed that both in-hospital mortality ( HR=2.167, 95% CI:1.508-3.114, P<0.001) and withdrawal success ( HR=5.353, 95% CI:4.023-7.121, P<0.001) were significantly lower in the MELD-XI score ≤13.9 group than in the MELD-XI score >13.9 group. Conclusions:The MELD-XI score can predict the prognosis of VA-ECMO-supported patients and help clinician doctors to make complex clinical decisions.

Objective To investigat the symptom burden of patients with maintenance hemodialysis (MHD) and explore the influencing factors of them,in order to provide the basis for improving the quality of life of these patients.Methods A total of 230 patients with MHD were enrolled in Xiangtan Central Hospital from January 2016 to December 2016,the general condition and disease-related data of them were collected,and the symptom burden of them over the past week was assessed by improved symptom burden scale.Results ① The average age of these patients were (56.8 ± 14.1)years,the sex ratio for men and women was 1.37∶ 1,the median time of dialysis was 24 months,and the frequency of dialysis was (9.16 ± 2.36)times;② The symptom score in MHD patients was (65.72 ± 28.46)points,the top 5 symptoms which had higher incidence were fatigue (72.2％),dry mouth (63.5％),itching (61.3％),falling asleep difficultly (54.3％),drying (49.2％),the top 5 symptoms which were more troubling were restless legs syndrome (2.54 ± 0.73),falling asleep difficultly (2.48 ± 0.83),bone/joint pain (2.45 ± 0.69),fatigue (2.31 ±0.77),easy to wake up (2.16 ±0.78);③ Age,sex,occupation,dialysis age,inorganicphosphorus and serum calcium had an effect on the symptom burden of MHD patients (P ＜ 0.05).Condusions We should focus on patients who are older,female,retired or no occupation,longer dialysis age,calcium or phosphorus metabolism disorders,provide targeted care and treatment,in order to reduce the symptom burden and improve the life quality of them.