[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.

[Association of platelet/lymphocyte ratio and neutrophil/lymphocyte ratio with protein-energy wasting in maintenance hemodialysis patients].

Objective: To explore the association of platelet/lymphocyte ratio (PLR) and neutrophil/lymphocyte ratio (NLR) with protein energy wasting (PEW) in maintenance hemodialysis (MHD) patients. Methods: A multicenter cross-sectional study was conducted in eleven hemodialysis centers of Guizhou province from June to August, 2017. Clinical data, physical parameters, body composition data and laboratory values of MHD patients were collected. PLR and NLR were calculated according to routine blood test. All patients were divided into four groups (Q1-Q4) according to the median and quartile of PLR and NLR. Multivariate logistic regression models were applied to analyze the relationships between PLR, NLR and PEW. The comparison of predictive power of PLR and NLR for PEW was evaluated by receiver operating characteristic curve (ROC). Results: A total of 936 MHD patients were enrolled (519 males, 417 females), with a mean age of (55.6±15.6) years. The prevalence of PEW was 46.2% (432/936). Multivariate logistic regression analysis showed that patients in group PLR Q3 and Q4 were 2.07 (95%CI: 1.03-4.13, P=0.014) and 2.73 (95%CI: 1.58-4.74, P<0.001) times more likely to have PEW, compared with those in group PLR Q1 in unadjusted models. PLR was significantly associated with the development of PEW after adjusting age, sex, history of hypertension, diabetes and hemoglobin. Patients in Group PLR Q3 and Q4 were 2.82 times (95%CI: 1.42-5.60, P=0.003) and 2.93 times (95%CI: 1.50-5.73, P=0.002) times more likely to have PEW than those in Group PLR Q1. The ROC showed that only PLR can predict the development of PEW with a diagnostic threshold of 144.09 [area under curve (AUC)=0.61, 95%CI: 0.56-0.66, P<0.001], with a sensitivity and specificity of 61% and 58%, respectively, while the AUC of NLR is 0.55 (P=0.091). Conclusion: For MHD patients, only PLR could be a relevent factor of PEW and it showed the predictive power of PEW rather than NLR.

[Association of low serum parathyroid hormone with protein-energy wasting in maintenance hemodialysis patients].

Objective: To examine the relationship between low serum parathyroid hormone (PTH) and protein-energy wasting (PEW) in patients who underwent maintenance hemodialysis (MHD) treatment. Methods: A cross-sectional study was conducted in MHD patients between June 2015 and August 2017 in 11 MHD centers from Guizhou province. Body composition and physical parameters were measured, clinical data and other related laboratory values were collected according to the medical record system. Participants were assigned to low serum PTH group (PTH<150 ng/L), target PTH group (150 ng/L≤ PTH ≤300 ng/L) and high serum PTH group (PTH>300 ng/L). Multivariate logistic regression analysis was used to analyze the relationship between low serum PTH and risk of PEW, which was diagnosed according to the diagnostic criteria recommened by the International Society of Renal Nutrition and Metabolism (ISRNM). Results: A total of 873 MHD patients (488 males and 385 females) were included in the final analysis, with a mean age of 55.0 (44.0, 67.0) years and a mean hemodialysis duration of 31.0(17.0, 54.0) months. In unadjusted model, low serum PTH group was associated with PEW (OR=2.12, 95% CI: 1.26-3.54, P=0.004), when compared with high serum PTH group. After adjustment for age and sex, low serum PTH group was still significantly associated with PEW (OR=2.09, 95% CI: 1.23-3.52, P=0.006). Further adjustment for diabetes and hypertension, the correlation between low serum PTH group and PEW was still significant (OR=2.02, 95% CI: 1.04-3.90, P=0.037). However, the correlation was not observed in target PTH group and high serum PTH group. Conclusion: Low serum PTH was associated with risk of PEW, regardless of age, sex, history of diabetes and hypertension, and thus it might be a promising indicator of PEW in MHD patients.

[Resting metabolic rate estimated by bioelectrical impedance analysis and its determinants in maintenance hemodialysis patients].

Objective: To explore the level of resting energy expenditure (REE) estimated by bioelectrical impedance analysis and the association of resting metabolic rate (RMR) with clinical related factors, and provide new ideas for improving protein energy wasting (PEW) in maintenance hemodialysis (MHD) patients. Methods: Seven hundred and sixty-five subjects receiving MHD between July 2015 and September 2016 in 11 hemodialysis centers in Guizhou province were enrolled in this cross-sectional study. Bioelectrical impedance analysis was used to measure RMR and body composition, such as lean body mass, fat mass and body cell mass (BCM). Baseline characteristics, routine blood test indexes and biochemical data of hemodialysis patients were collected. The level of RMR and body composition in hemodialysis patients was compared by gender grouping. Then the patients were divided into four groups according to the cutoff value of RMR quartile. Spearman correlation analysis and multiple linear regression analysis were used to analyze the relationships between RMR and clinical related factors. Results: The average age of MHD patients was (54.96±15.78) years and the duriation of dialysis was (42.3±9.0) months. The level of RMR in male patients (474 cases, 61.96%) was significantly higher than that in female patients [1 591(1 444, 1 764) kcal/d vs 1 226 (1 104, 1 354) kcal/d, P<0.001]. However, this significant difference of RMR between different genders disappeared after adjusting for lean body mass (P=0.193). Multiple linear regression analysis showed that RMR was positively correlated with body surface area (ß=0.817) and lactate dehydrogenase (LDH) (ß=0.198), and negatively correlated with age (ß=-0.141), all P<0.05. Conclusion: RMR levels in patients with maintenance hemodialysis are associated with lactate dehydrogenase level, which may become a new index to evaluate energy consumption.