[Effect of hemoperfusion on protein energy wasting and long-term prognosis in patients on maintenance hemodialysis].

Objective: To explore the effect of hemoperfusion (HP) combined with hemodialysis (HD) (HD+HP) on protein energy wasting (PEW) and long-term prognosis in patients on maintenance HD (MHD). Methods: A prospective multicenter cohort study was conducted. Adult MHD patients who completed PEW assessment and underwent regular dialysis between July 2015 and July 2021 at 23 hemodialysis centers in Guizhou Province were selected. Demographic characteristics, physical indicators, laboratory indicators, 3-day diet diary and HP treatment data of the subjects were collected. The patients were divided into different groups according to the presence or absence of HP, the frequency of HP treatment and the type of cartridge, and then relevant indicators were compared. Multivariate logistic regression model and Cox proportional regression model were used to analyze the influence of HP treatment on PEW risk in MHD patients. Meanwhile, Kaplan-Meier method was used to plot the survival curve. Results: A total of 4 623 MHD patients (2 789 males and 1 834 females) aged (53.7±15.9) years were included in the study, with a median dialysis age of 64.3 (44.3, 92.3) months. There were 3 429 (74.2%) MHD patients treated with HD+HP, and 1 194 patients (25.8%) were not treated with HP. According to the 2008 diagnostic criteria of the International Society for Renal Nutrition and Metabolism (ISRNM), the incidence of PEW was 26.0% (1 204/4 623). Multivariate logistic regression analysis showed that female (OR=2.48, 95%CI: 1.55-3.95, P<0.001), diabetes (OR=1.75, 95%CI: 1.08-2.83, P=0.024) and high-sensitivity C-reactive protein (hs-CRP) (OR=1.02, 95%CI: 1.01-1.03, P=0.003) were risk factors for PEW, while treatment with HD+HP (OR=0.51, 95%CI: 0.31-0.87, P=0.012) and elevated triglyceride levels (OR=0.62, 95%CI: 0.48-0.80, P<0.001) were protective factors. Cox hazard ratio regression showed that among different HP treatment frequencies and cartridge types, 2 times/month (HR=0.40, 95%CI: 0.17-0.95, P=0.037), 3 times/month (HR=0.44, 95%CI: 0.23-0.85, P=0.014), 4 times/month (HR=0.54, 95%CI: 0.34-0.85, P=0.008), HA130 (HR=0.57, 95%CI: 0.36-0.89, P=0.014) and HA230 (HR=0.30, 95%CI: 0.15-0.63, P=0.001) had protective effects on the occurrence of PEW in MHD patients. The all-cause mortality rate was 11.3% (521/4 623) at 33 (24, 48) months of follow-up. Kaplan-Meier analysis showed that patients undergoing 4 times/month HP treatment (χ2=36.78, P<0.001) and using HA230 (χ2=9.46, P=0.002) had the highest survival rate. Conclusion: Treatment with HD+HP is a protective factor for PEW in patients with MHD, and 4 times/month HP treatment or HA230 significantly reduces the risk of PEW and all-cause mortality in patients with MHD.

[Association of systemic immune-inflammation index with protein-energy wasting and prognosis in patients on maintenance hemodialysis].

Objective: To explore the association of systemic immune-inflammation index (SII) with protein-energy wasting (PEW) and prognosis in maintenance hemodialysis (MHD) patients. Methods: A multicenter cohort study was conducted in 11 hemodialysis centers of Guizhou province from July to September 2019. The patients were divided into the PEW group and non-PEW group. After 12 months of follow-up, death was the endpoint event. Multivariate logistic regression analysis was used to assess the independent risk factors of PEW in MHD patients. The receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of SII for PEW, and the optimal cut-off value of SII was calculated. The Kaplan-Meier method was used to draw the survival curve, and log-rank test was employed to compare the difference of survival rate between the two groups. Results: A total of 859 patients were included [540 males and 319 females, aged (54±15) years], and there were 220 cases (25.6%) and 639 cases (74.4%) in PEW and non-PEW groups, respectively. SII was higher in the PEW group than that of the non-PEW group [600 (440, 915) vs 475 (353, 633), P<0.01]. Multivariate logistic regression analysis showed that SII was an independent predictor for PEW (OR=1.001, 95%CI: 1.000-1.002, P=0.02). ROC curve analysis showed that the area under the curve for SII to predict PEW in MHD patients was 0.725 (95%CI: 0.683-0.766), with the sensitivity and specificity of 69% and 70%, respectively. All patients were followed up for 12 months, and 45 died (with a mortality rate of 5.24%). Patients were divided into SII>520 group and SII≤520 group according to the optimal cut-off value, and subsequent Kaplan-Meier survival analysis showed that the 1-year cumulative survival rate of the SII>520 group (92.3%) was lower than that of SII≤520 group (97.1%) (χ2log-rank=9.707, P=0.002). Further subgroup analysis revealed that, in PEW patients with MHD, the 1-year cumulative survival rate of the SII>520 group (88.5%) was also lower than that of SII≤520 group (92.3%) (χ2log-rank=7.226, P=0.007). Conclusion: SII is an independent risk factor for PEW in MHD patients, and the higher the SII level, the lower the long-term survival rate and the prognosis.

[Relationship between platelet/lymphocyte ratio and cognitive impairment in diabetic patients treated with maintenance hemodialysis].

Objective: To explore the relationship between platelet/lymphocyte ratio (PLR) and cognitive impairment (CI) in diabetic patients treated with maintenance hemodialysis (MHD). Methods: The data of age, gender, underlying diseases, medication history, mini-mental state examination (MMSE) and biochemical indexes of diabetic MHD patients who were treated in 18 hemodialysis center in Guizhou Province between May and August 2019 were collected. According to whether they had CI or not, the patients were divided into CI group and control group, and the clinical characteristics between the two groups were compared. In addition, the patients were divided into four groups according to the quartile of PLR (PLR Q1, Q2, Q3 and Q4 group). Multivariate logistic regression models were used to analyze the relationship between PLR level and CI in diabetic MHD patients. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of PLR in detecting CI in diabetic MHD patients. Results: Totally, 586 diabetic MHD patients (389 males) were included, with a mean age of (63±11) years. Multivariate logistic regression analysis showed that PLR was associated with the risk of CI in diabetic MHD patients, and the risk of CI in PLR Q4 group was 3.022 times of that of PLR Q1 Group (95%CI: 1.866-4.895, P<0.001). After adjusting for gender, age, dialysis age and education level, the risk of CI in PLR Q4 group was 2.529 times of that in PLR Q1 Group (95%CI: 1.536-4.164, P<0.001). After further adjusting for hemoglobin, albumin, creatinine, leukocyte and blood glucose, the risk of CI in PLR Q4 group was 2.281 times of that in PLR Q1 group (95%CI: 1.203-4.326, P=0.012). ROC curve analysis showed that the optimal threshold for PLR to predict CI in diabetic MHD patients was 155.3, with a sensitivity of 57.2% and a specificity of 60.8%, and the area under the curve was 0.608 (95%CI: 0.561-0.644, P<0.001). Conclusion: PLR is associated with CI in diabetic MHD patients.

[Relationship between visceral obesity and atherosclerosis in hemodialysis patients].

Objective: To evaluate the relationship between surrogate markers of visceral obesity[hypertriglyceridemic waist (HW) phenotype, visceral adiposity index (VAL), lipid accumulation product (LAP)]and atherosclerosis in hemodialysis patients. Methods: A multi-center cross-sectional study was carried out. A total of 961 maintenance hemodialysis (MHD) patients from 11 hemodialysis centers of Guizhou province between July 2016 and September 2017 were enrolled in the study. Anthropometric measures were performed in all subjects. Laboratory parameters including triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein-cholesterol were extracted from the medical records by researchers. Pearson correlation analysis was used to investigate the correlation between HW phenotype, VAI, LAP and plasma atherosclerotic index (AIP). Multivariate linear regression analysis was used to evaluate factors affecting AIP. Results: Totally, 585 men and 376 women aged 18-90 years, with a mean age of (56.08±15.42) years were recruited in the study. Pearson correlation analysis showed that VAI (men: r=0.82, women: r=0.84), LAP (men: r=0.73, women: r=0.74) and having HW phenotype (men: r=0.62, women: r=0.63) correlated positively with AIP (all P<0.001). Multivariate linear regression analysis showed that VAI (men: ß=0.77, women: ß=0.82) and LAP (men: ß=0.73, women: ß=0.73) were independent associated factors of AIP after adjustment of BMI, age, smoking and history of diabetes and hypertension (all P<0.001). Conclusions: Surrogate markers of visceral obesity such as having HW phenotype, VAI, LAP correlated positively with AIP. VAI, LAP has positive impacts on AIP independent of BMI, age, smoking and other traditional atherosclerosis risk factors.