Malnutrition as a potential predictor of mortality in chronic kidney disease patients on dialysis: A systematic review and meta-analysis.

BACKGROUND & AIMS: Malnutrition, a significant problem in patients with chronic kidney disease (CKD), is linked to lower health-related quality of life, longer and more frequent hospital admissions, worse functional capacity, and higher levels of morbidity. However, the extent of its impact on mortality is poorly elucidated. This systematic review and meta-analysis aimed to investigate the impact of malnutrition on mortality among CKD patients on dialysis. METHODS: This meta-analysis was designed and performed in accordance with the PRISMA guidelines (CRD42023394584). A systematic electronic literature search was conducted in PubMed, ScienceDirect, and Embase to identify relevant cohort studies. The studies that reported nutritional status and its impact on mortality in patients were considered for analysis. The generic inverse variance method was used to pool the hazard ratio effect estimates by employing a random effects model. The Newcastle-Ottawa scale was used for the quality assessment. The statistical analysis was performed by utilizing RevMan and CMA 2.0. RESULTS: A total of 29 studies that comprised 11,063 patients on dialysis whose nutritional status was evaluated were eligible for quantitative analysis. Based on a comparison between the "malnutrition" category and the reference "normal nutrition status" category, the results showed that the overall pooled hazard risk (HR) for mortality was (HR 1.49, 95% CI: 1.36-1.64, p < 0.0001). According to the subgroup analysis, the hemodialysis subgroup had greater mortality hazards (HR 1.53; 95% CI 1.38-1.70, p < 0.0001), compared to the peritoneal dialysis subgroup (HR 1.26; 95% CI 1.15-1.37, p < 0.00001). Additionally, the overall incidence of mortality was explored but the authors were unable to combine the results due to limitations with the data. CONCLUSION: The findings conclude that malnutrition is a strong predictor of mortality among patients on dialysis, with the hemodialysis subgroup having a higher mortality hazard compared to the peritoneal dialysis subgroup. The results of this study will advocate for early nutritional evaluation and timely dietary interventions to halt the progression of CKD and death.

Trajectory of mid-arm subcutaneous fat, muscle mass predicts mortality in hemodialysis patients independent of body mass index.

Although decreasing body mass index (BMI) is associated with higher mortality risk in patients undergoing hemodialysis (HD), BMI neither differentiates muscle and fat mass nor provides information about the variations of fat distribution. It remains unclear whether changes over time in fat and muscle mass are associated with mortality. We examined the prognostic significance of trajectory in the triceps skinfold (TSF) thickness and mid-upper arm circumference (MUAC). In this multicenter prospective cohort study, 972 outpatients (mean age, 54.5 years; 55.3% men) undergoing maintenance HD at 22 treatment centers were included. We calculated the relative change in TSF and MUAC over a 1-year period. The outcome was all-cause mortality. Kaplan-Meier, Cox proportional hazard analyses, restricted cubic splines, and Fine and Gray sub-distribution hazards models were performed to examine whether TSF and MUAC trajectories were associated with all-cause mortality. During follow-up (median, 48.0 months), 206 (21.2%) HD patients died. Compared with the lowest trajectory group, the highest trajectories of TSF and MUAC were independently associated with lower risk for all-cause mortality (HR = 0.405, 95% CI 0.257-0.640; HR = 0.537; 95% CI 0.345-0.837; respectively), even adjusting for BMI trajectory. Increasing TSF and MUAC over time, measured as continuous variables and expressed per 1-standard deviation decrease, were associated with a 55.7% (HR = 0.443, 95% CI 0.302-0.649), and 97.8% (HR = 0.022, 95% CI 0.005-0.102) decreased risk of all-cause mortality. Reduction of TSF and MUAC are independently associated with lower all-cause mortality, independent of change in BMI. Our study revealed that the trajectory of TSF thickness and MUAC provides additional prognostic information to the BMI trajectory in HD patients.

The effect of dialysis modality on annual mortality: A prospective cohort study.

Despite numerous studies on the effect of each dialysis modality on mortality, the issue remains controversial. We investigated the hazard rate of mortality in patients with incident end-stage renal disease (ESRD) concerning initial dialysis modality (hemodialysis vs. peritoneal dialysis). Using a nationwide, multicenter, prospective cohort in South Korea, we studied 2207 patients, of which 1647 (74.6%) underwent hemodialysis. We employed the weighted Fine and Gray model over the follow-up period using inverse probability of treatment and censoring weighting. Landmark analysis was used for identifying the changing effect of dialysis modality on individuals who remained event-free at each landmark point. No significant difference in hazard rate was observed overall. However, the peritoneal dialysis group had a significantly higher hazard rate than the hemodialysis group among patients under 65 years after 4- and 5- year follow-up. A similar pattern was observed among those with diabetes mellitus. Landmark analysis also showed the higher hazard rate for peritoneal dialysis at 2 years for the education-others group and at 3 years for the married group. These findings may inform dialysis modality decisions, suggesting a preference for hemodialysis in young patients with diabetes, especially for follow-ups longer than 3 years.

Re-hospital admission, morbidity and mortality rate in patients undergoing tunnelled catheter implantation for haemodialysis.

OBJECTIVE: Despite the effort to increase the proportion of patients starting dialysis on native accesses, many of them are still dialyzed on tunnelled catheter. Catheter-related complications are often serious and responsible for re-hospital admission, high morbidity and mortality. Several multicenter trials have reported results in the use of tunnelled dialysis catheter (TDC). However, few single-center studies have been published to verify the outcome from real-world experience. This study presents our center's experience in managing such patients in the context of relevant literature. METHODS: Demographics and operative data were retrospectively collected from medical charts. A prospective follow-up was performed to investigate complications, number of re-hospitalizations and mortality. Kaplan-Meier estimate was used to evaluate catheter primary patency and patients' overall survival. RESULTS: Among a total 298 haemodialysis accesses interventions, 105 patients (56 men, 53.3% and 49 women, 46.7%) with a median age of 65 years (range 32-88 years) were included in the study. All insertions were successful with an optimal blood flow achieved during the first session of dialysis in all cases. A catheter-related complication was detected in 33.3% (n=35) patients (48.6% infections; 28.6% TDC dysfunction; 14.3% local complications; 5.7% accidental catheter retractions; 2.8% catheter migrations). At a median follow-up of 10.5±8.5 months, a total of 85 patients (80.9%) was re-hospitalized, in 28 cases (26.7%) for a catheter-related cause. The median catheter patency rate was 122 days. At the last follow-up, 39 patients (37.1%) were still dialyzed on catheter, 30(28.6%) were dialyzed on an arteriovenous fistula and 7(6.7%) received a kidney transplantation. Two patients (2%) were transferred to peritoneal dialysis and two patients (2%) recover from renal insufficiency. Mortality rate was 23.8% (25 patients). Causes of death were myocardial infarction (n=13, 52%), sepsis (n=9, 36%); one patient (4%) died from pneumonia, one (4%) from uremic encephalopathy and one (4%) from massive hematemesis. CONCLUSION: TDCs may represent the only possible access in some patients, however they are burned with a high rate of complications, re-hospital admission and mortality. Results from this institutional experience are in line with previously published literature data in terms of morbidity and mortality. The present results reiterate once more that TDC must be regarded as a temporary solution while permanent access creation should be prioritized. Strict surveillance should be held in patients having TDC for the early identification of complications allowing the prompt treatment and modifying the catheter insertion site whenever needed.

Current dialyzer classification in Japan and mortality risk in patients undergoing hemodialysis.

Dialyzers are classified into five types based on their ß2-microglobulin clearance rate and albumin sieving coefficient: Ia, Ib, IIa, and IIb. In addition, a new classification system introduced a type S dialyzer. However, limited information is available regarding the impact of dialyzer type on patient outcomes. A cohort study was conducted using data from the Japanese Society for Dialysis Therapy Renal Data Registry database. Total 181,804 patients on hemodialysis (HD) were included in the study, categorized into four groups (type Ia, IIa, IIb, and S). The associations between each group and two-year all-cause mortality were assessed using Cox proportional hazard models. Furthermore, propensity score-matching analysis was performed. By the end of 2019, 34,185 patients on dialysis had died. After adjusting for all confounders, the risk for all-cause mortality was significantly lower in the type IIa, and S groups than in the type Ia group. These significant findings were consistent after propensity score matching. In conclusion, our findings suggest that super high-flux dialyzers, with a ß2-microglobulin clearance of ≥ 70 mL/min, may be beneficial for patients on HD, regardless of their albumin sieving coefficient. In addition, type S dialyzers may be beneficial for elderly and malnourished patients on dialysis.Trial registration number: UMIN000018641.

Superiority of high sensitivity cardiac troponin I over NT-proBNP and adiponectin for 7-year mortality in stable patients receiving haemodialysis.

Patients on haemodialysis (HD) have high mortality risk, and prognostic values of the major cardiovascular biomarkers cardiac troponin I (cTnI), N-terminal pro-brain natriuretic peptide (NT-proBNP), and adiponectin should be ascertained over longer follow-up periods using higher-sensitivity assays, which we undertook. In 221 HD patients, levels of high-sensitivity (hs)-cTnI, NT-proBNP, and adiponectin, were measured using high-sensitivity assays, and their associations with all-cause mortality (ACM) and cardiovascular mortality (CVM) were prospectively investigated for 7 years. Higher hs-cTnI and NT-proBNP levels were significant risk factors for ACM and CVM in the Kaplan-Meier analysis. Multivariate Cox proportional hazards analyses in a model including hs-cTnI and NT-proBNP identified log hs-cTnI, but not log NT-proBNP, as an independent risk factor for ACM (HR 2.12, P < 0.02) and CVM (HR 4.48, P < 0.0005). Stepwise analyses identified a high hs-cTnI tertile as a risk factor for ACM (HR 2.31, P < 0.01) and CVM (HR 6.70, P < 0.001). The addition of hs-cTnI to a model including age, CRP, DM, and NT-proBNP significantly improved the discrimination of ACM and CVM each over 7 years. Conclusively, hs-cTnI was superior to NT-proBNP and adiponectin in predicting ACM and CVM over 7 years in HD patients, suggesting the significance of baseline hs-cTnI measurements in long-term management.

Designing an Implementable Clinical Prediction Model for Near-Term Mortality and Long-Term Survival in Patients on Maintenance Hemodialysis.

RATIONALE & OBJECTIVE: The life expectancy of patients treated with maintenance hemodialysis (MHD) is heterogeneous. Knowledge of life-expectancy may focus care decisions on near-term versus long-term goals. The current tools are limited and focus on near-term mortality. Here, we develop and assess potential utility for predicting near-term mortality and long-term survival on MHD. STUDY DESIGN: Predictive modeling study. SETTING & PARTICIPANTS: 42,351 patients contributing 997,381 patient months over 11 years, abstracted from the electronic health record (EHR) system of midsize, nonprofit dialysis providers. NEW PREDICTORS & ESTABLISHED PREDICTORS: Demographics, laboratory results, vital signs, and service utilization data available within dialysis EHR. OUTCOME: For each patient month, we ascertained death within the next 6 months (ie, near-term mortality) and survival over more than 5 years during receipt of MHD or after kidney transplantation (ie, long-term survival). ANALYTICAL APPROACH: We used least absolute shrinkage and selection operator logistic regression and gradient-boosting machines to predict each outcome. We compared these to time-to-event models spanning both time horizons. We explored the performance of decision rules at different cut points. RESULTS: All models achieved an area under the receiver operator characteristic curve of≥0.80 and optimal calibration metrics in the test set. The long-term survival models had significantly better performance than the near-term mortality models. The time-to-event models performed similarly to binary models. Applying different cut points spanning from the 1st to 90th percentile of the predictions, a positive predictive value (PPV) of 54% could be achieved for near-term mortality, but with poor sensitivity of 6%. A PPV of 71% could be achieved for long-term survival with a sensitivity of 67%. LIMITATIONS: The retrospective models would need to be prospectively validated before they could be appropriately used as clinical decision aids. CONCLUSIONS: A model built with readily available clinical variables to support easy implementation can predict clinically important life expectancy thresholds and shows promise as a clinical decision support tool for patients on MHD. Predicting long-term survival has better decision rule performance than predicting near-term mortality. PLAIN-LANGUAGE SUMMARY: Clinical prediction models (CPMs) are not widely used for patients undergoing maintenance hemodialysis (MHD). Although a variety of CPMs have been reported in the literature, many of these were not well-designed to be easily implementable. We consider the performance of an implementable CPM for both near-term mortality and long-term survival for patients undergoing MHD. Both near-term and long-term models have similar predictive performance, but the long-term models have greater clinical utility. We further consider how the differential performance of predicting over different time horizons may be used to impact clinical decision making. Although predictive modeling is not regularly used for MHD patients, such tools may help promote individualized care planning and foster shared decision making.

Association between glycated albumin and sudden death in patients undergoing hemodialysis.

BACKGROUND: The frequency of sudden death and its risk factors in patients undergoing hemodialysis are unknown. This study was performed to examine the association between glycated albumin (GA) and sudden death in Japanese patients undergoing hemodialysis. METHODS: In total, 260 patients undergoing hemodialysis aged ≥18 years were retrospectively followed for a mean of 4.6 years. The patients' serum GA levels were divided into tertiles, and the patients' sex, age, albumin level, C-reactive protein (CRP) level, and cardiothoracic ratio (CTR) were selected as adjustment factors. A logistic regression model was used to calculate the odds ratio (OR) for the occurrence of sudden death by GA level. RESULTS: Ninety-one patients died during follow-up. Of the 91 deaths, 23 (25.2%) were defined as sudden deaths. Compared with non-sudden death cases, sudden death cases were significantly younger (p = 0.002) and had a higher proportion of men (p = 0.03), a higher proportion of diabetes (p = 0.008), and higher GA levels (p = 0.023). Compared with patients with the lowest GA levels (<15.2%), those with the highest GA levels (≥18.5%) had a sex- and age-adjusted OR for sudden death of 5.40 [95% confidence interval (CI): 1.35-21.85]. After adjusting for the albumin level, CRP level, and CTR in addition to sex and age, the OR for sudden death of patients with the highest GA levels increased to 6.80 (95%CI: 1.64-28.08); the relationship did not change. CONCLUSION: Serum GA levels were significantly associated with sudden death in patients undergoing hemodialysis.

Left ventricular hypertrophy and left atrial diameter are associated with mortality risk in haemodialysis patients: a retrospective cohort study.

BACKGROUND: Cardiovascular death is the main cause of death in patients with end-stage kidney disease (ESKD). Left ventricular hypertrophy (LVH) and left atrial diameter (LAD) enlargement are frequent cardiac alterations in patients with ESKD and are major risk factors for cardiovascular events. However, it remains unclear whether there is an association between combined LAD or LVH and all-cause or cardiovascular mortality in this population. METHODS: A single-centre, retrospective cohort study including 576 haemodialysis (HD) patients was conducted. Patients were evaluated by cardiac ultrasound, and the study cohort was divided into four groups according to LAD and LVH status: low LAD and non-LVH; low LAD and LVH; high LAD and non-LVH; and high LAD and LVH. We used Kaplan-Meier analysis and Cox proportional hazard regression to analyse all-cause and cardiovascular mortality after multivariate adjustment. RESULTS: LAD was associated with an increased risk of all-cause mortality (HR 2.371, 1.602-3.509; p < 0.001). No significant differences were found between LVH and the risk of all-cause mortality. Patients with high LAD and LVH had significantly greater all-cause and cardiovascular mortality than did those with low LAD and non-LVH after adjustments for numerous potential confounders (HR 3.080, 1.608-5.899; p = 0.001) (HR 4.059, 1.753-9.397; p = 0.001). CONCLUSION: Among maintenance haemodialysis (MHD) patients, LAD was more strongly associated with mortality than was LVH. A high LAD and LVH are associated with a greater risk of mortality. Our results emphasize that the occurrence of LAD and LVH in combination provides information that may be helpful in stratifying the risk of MHD patients.

Mortality of Peritoneal Dialysis versus Hemodialysis in Older Adults: An Updated Systematic Review and Meta-Analysis.

INTRODUCTION: The optimal choice of dialysis modality remains contentious in older adults threatened by advanced age and high risk of comorbidities. METHODS: We conducted a systematic review and meta-analysis of cohort and case-control studies to assess mortality risk between peritoneal dialysis (PD) and hemodialysis (HD) in older adults using PubMed, Embase, and the Cochrane Library database from inception to June 1, 2022. The outcome of interest is all-cause mortality. RESULTS: Thirty-one eligible studies with >774,000 older patients were included. Pooled analysis showed that PD had a higher mortality rate than HD in older dialysis population (HR 1.17, 95% CI: 1.10-1.25). When stratified by co-variables, our study showed an increased mortality risk of PD versus HD in older patients with diabetes mellitus or comorbidity who underwent longer dialysis duration (more than 3 years) or who started dialysis before 2010. However, definitive conclusions were constrained by significant heterogeneity. CONCLUSION: From the survival point of view, caution is needed to employ PD for long-term use in older populations with diabetes mellitus or comorbid conditions. However, a tailored treatment choice needs to take account of what matters to older adults at an individual level, especially in the context of limited survival improvements and loss of quality of life. Further research is still awaited to conclude this topic.

Japanese Study of the Effects of AMG (α1-Microglobulin) Reduction Rates on Survival (JAMREDS): A Protocol of a Multicenter Prospective Observational Cohort Study.

INTRODUCTION: Recent advances in dialysis therapy have made it possible to remove middle molecules. Removal of small-middle molecules, such as ß2-microglobulin, can now be achieved with conventional hemodialysis (HD), and removal of large-middle molecules has become a target, particularly for α1-microglobulin (AMG, 33 kD). The AMG reduction rate has emerged as a target for improvement of various clinical symptoms, but the effects on prognosis have yet to be determined. The "Japanese study of the effects of AMG (α1-microglobulin) reduction rates on survival" (JAMREDS) was started in April 2020, with the goal of determining if the AMG reduction rate associates with the risk of mortality and cardiovascular disease (CVD) events. METHODS: JAMREDS is a prospective observational study in patients on HD to examine the effects of: (1) AMG reduction rate on survival outcome and CVD events; (2) dialysis treatment modalities (HD, intermittent infusion hemodiafiltration(iHDF), pre/post-dilution online HDF) on survival and CVD events (based on AMG reduction rates with treatment mode); and (3) AMG reduction rates on survival and CVD events in patients undergoing each therapy (iHDF, pre/post-dilution online HDF). The number of planned subjects was 4,000 in preplanning. Data are collected using RED-Cap, which is an EDC system. A total of 9,930 patients were enrolled at the beginning of the study at 59 registered facilities. The JAMREDS observation period will continue until the end of 2023, after which the data will be cleaned and confirmed before analysis. CONCLUSION: This study may provide new evidence for the relationship between the amount of removed large-middle molecules (such as AMG) and the mortality and CVD risk. Comparisons with convection volumes will also be of interest.

Estimating the association between systemic Interleukin-6 and mortality in the dialysis population. Re-analysis of the global fluid study, systematic review and meta-analysis.

BACKGROUND: Systemic inflammation, measured as circulating Interleukin-6 (IL-6) levels, is associated with cardiovascular and all-cause mortality in chronic kidney disease. However, this has not been convincingly demonstrated in a systematic review or a meta-analysis in the dialysis population. We provide such evidence, including a re-analysis of the GLOBAL Fluid Study. METHODS: Mortality in the GLOBAL fluid study was re-analysed using Cox proportional hazards regression with IL-6 levels as a covariate using a continuous non-logarithmic scale. Literature searches of the association of IL-6 levels with mortality were conducted on MEDLINE, EMBASE, PyschINFO and CENTRAL. All studies were assessed for risk of bias using the QUIPS tool. To calculate a pooled effect size, studies were grouped by use of IL-6 scale and included in the meta-analysis if IL-6 was analysed as a continuous linear covariate, either per unit or per 10 pg/ml, in both unadjusted or adjusted for other patient characteristics (e.g. age, comorbidity) models. Funnel plot was used to identify potential publication bias. RESULTS: Of 1886 citations identified from the electronic search, 60 were included in the qualitative analyses, and 12 had sufficient information to proceed to meta-analysis after full paper screening. Random effects meta-analysis of 11 articles yielded a pooled hazard ratio (HR) per pg/ml of 1.03, (95% CI 1.01, 1.03), [Formula: see text]= 81%. When the analysis was confined to seven articles reporting a non-adjusted HR the result was similar: 1.03, per pg/ml (95% CI: 1.03, 1.06), [Formula: see text]=92%. Most of the heterogeneity could be attributed to three of the included studies. Publication bias could not be determined due to the limited number of studies. CONCLUSION: This systematic review confirms the adverse association between systemic IL-6 levels and survival in people treated with dialysis. The heterogeneity that we observed may reflect differences in study case mix. SYSTEMATIC REVIEW REGISTRATION: PROSPERO - CRD42020214198.

Association between serum ß2-microglobulin levels and the risk of all-cause and cardiovascular disease mortality in chinese patients undergoing maintenance hemodialysis.

BACKGROUND: The association between serum ß2-microglobulin (ß2M) levels and the risk of all-cause and cardiovascular disease (CVD) mortality and the incidence of cardiovascular events (CVEs) in patients undergoing maintenance hemodialysis (MHD) is inconclusive. Furthermore, no study has been performed in China on the significance of serum ß2M levels in MHD patients. Therefore, this study investigated the aforementioned association in MHD patients. METHODS: In this prospective cohort study, 521 MHD patients were followed at Dalian Municipal Central Hospital affiliated with Dalian University of Technology from December 2019 to December 2021. The serum ß2M levels were categorized into three tertiles, and the lowest tertile served as the reference group. Survival curves were calculated by the Kaplan-Meier method. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazard models. Sensitivity analysis was performed by excluding patients with CVD at baseline. RESULTS: During the follow-up period of 21.4 ± 6.3 months, there were 106 all-cause deaths, of which 68 were caused by CVD. When excluding CVD patients at baseline, there were 66 incident CVEs. Kaplan-Meier analysis revealed that the risk of all-cause and CVD mortality in the highest tertile of serum ß2M levels was significantly higher than that in the lowest tertile (P < 0.05), but not for the CVEs (P > 0.05). After adjusting for potential confounders, serum ß2M levels were positively associated with the risk of all-cause (HR = 2.24, 95% CI = 1.21-4.17) and CVD (HR = 2.54, 95% CI = 1.19-5.43) mortality, and a linear trend was evident (P < 0.05). Besides, the results of sensitivity analysis were consistent with the main findings. However, we didn't observed the significant association between serum ß2M levels and CVEs (P > 0.05). CONCLUSION: The serum ß2M level may be a significant predictor of the risk of all-cause and CVD mortality in MHD patients. Further studies are needed to confirm this finding.

High facility-level serum potassium variability associated with mortality in hemodialysis patients: results from Chinese Dialysis Outcomes and Practice Patterns Study (DOPPS).

The role of facility-level serum potassium (sK+) variability (FL-SPV) in dialysis patients has not been extensively studied. This study aimed to evaluate the association between FL-SPV and clinical outcomes in hemodialysis patients using data from the China Dialysis Outcomes and Practice Patterns Study (DOPPS) 5. FL-SPV was defined as the standard deviation (SD) of baseline sK+ of all patients in each dialysis center. The mean and SD values of FL-SPV of all participants were calculated, and patients were divided into the high FL-SPV (>the mean value) and low FL-SPV (≤the mean value) groups. Totally, 1339 patients were included, with a mean FL-SPV of 0.800 mmol/L. Twenty-three centers with 656 patients were in the low FL-SPV group, and 22 centers with 683 patients were in the high FL-SPV group. Multivariate logistic regression analysis showed that liver cirrhosis (OR = 4.682, 95% CI: 1.246-17.593), baseline sK+ (<3.5 vs. 3.5 ≤ sK+ < 5.5 mmol/L, OR = 2.394, 95% CI: 1.095-5.234; ≥5.5 vs. 3.5 ≤ sK+ < 5.5 mmol/L, OR = 1.451, 95% CI: 1.087-1.939), dialysis <3 times/week (OR = 1.472, 95% CI: 1.073-2.020), facility patients' number (OR = 1.088, 95% CI: 1.058-1.119), serum HCO3- level (OR = 0.952, 95% CI: 0.921-0.984), dialysis vintage (OR = 0.919, 95% CI: 0.888-0.950), other cardiovascular disease (OR = 0.508, 95% CI: 0.369-0.700), and using high-flux dialyzer (OR = 0.425, 95% CI: 0.250-0.724) were independently associated with high FL-SPV (all p < .05). After adjusting potential confounders, high FL-SPV was an independent risk factor for all-cause death (HR = 1.420, 95% CI: 1.044-1.933) and cardiovascular death (HR = 1.827, 95% CI: 1.188-2.810). Enhancing the management of sK+ of hemodialysis patients and reducing FL-SPV may improve patient survival.

Medium Cut-Off versus Low-Flux Dialyzers in Hemodialysis Patients with COVID-19: Clinical Outcomes and Reduction in Interleukin-6.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has caused extensive morbidity and mortality worldwide. Hemodialysis (HD) patients are both vulnerable to COVID-19 infection and tend to suffer greater disease severity and mortality. This retrospective study aimed to compare medium cut-off (MCO) and low-flux (LF) membrane dialyzers in terms of interleukin-6 (IL-6) reduction, change in inflammatory state, intradialytic complications, and mortality in chronic HD patients with COVID-19. METHOD: HD patients with a confirmed COVID-19 infection were admitted to the hospital for 10-14 days and underwent HD at the COVID-HD unit. Choice of dialyzer membrane used (MCO vs. LF) depended on the primary nephrologist(s). We collected data on demographics, baseline characteristics, laboratory results, diagnosis, treatments, HD prescription, hemodynamic status during HD, and mortality at 14 and 28 days after. RESULTS: IL-6 reduction ratio (RR) in the MCO group was 9.7 (interquartile range, 71.1) percent, which was significantly higher than that of the LF group (RR, -45.7 [interquartile range, 70.2] percent). The incidence rate of intradialytic hypotension in the MCO group was 3.846 events per 100 dialysis hours (95% confidence interval [CI], 1.954-6.856), which was significantly lower than that of the LF group (9.057; 95% CI, 5.592-13.170). Overall, mortality was not significantly different between the two groups. CONCLUSION: The MCO membrane was more effective in removing IL-6 and was better tolerated than the LF membrane. Large, randomized controlled trials are required to confirm the relative benefits of the MCO membrane, especially mortality. However, due to the COVID-19 pandemic, our results suggest that the MCO membrane may be beneficial in chronic HD patients with COVID-19.

Association of Four Types of Vascular Access Including Arterial Superficialization with Mortality in Maintenance Hemodialysis Patients: A Nationwide Cohort Study in Japan.

INTRODUCTION: Vascular access usage varies widely across countries. Previous studies have evaluated the association of clinical outcomes with the three types of vascular access, namely, arteriovenous fistula (AVF), arteriovenous graft (AVG), and tunneled and cuffed central venous catheter (TC-CVC). However, little is known regarding the association between arterial superficialization (AS) and the mortality of patients. METHODS: A nationwide cohort study was conducted using data from the Japanese Society for Dialysis Therapy Renal Data Registry (2006-2007). We included patients aged ≥20 years undergoing hemodialysis with a dialysis vintage ≥6 months. The exposures of interest were the four types of vascular access: AVF, AVG, AS, and TC-CVC. Cox proportional hazard models were used to evaluate the associations of vascular access types with 1-year all-cause and cause-specific mortality. RESULTS: A total of 183,490 maintenance hemodialysis patients were included: 90.7% with AVF, 6.9% with AVG, 2.0% with AS, and 0.4% with TC-CVC. During the 1-year follow-up period, 13,798 patients died. Compared to patients with AVF, those with AVG, AS, and TC-CVC had a significantly higher risk of all-cause mortality after adjustment for confounding factors: adjusted hazard ratios (95% confidence intervals) - 1.30 (1.20-1.41), 1.56 (1.39-1.76), and 2.15 (1.77-2.61), respectively. Similar results were obtained for infection-related and cardiovascular mortality. CONCLUSION: This nationwide cohort study conducted in Japan suggested that AVF usage may have the lowest risk of all-cause mortality. The study also suggested that the usage of AS may be associated with better survival rates compared to those of TC-CVC in patients who are not suitable for AVF or AVG.

A new approach to predicting mortality in dialysis patients using sociodemographic features based on artificial intelligence.

One of the main problems that affect patients in dialysis therapy who are on the waiting list to receive a kidney transplant is predicting their survival time if they do not receive a transplant. This paper proposes a new approach to survival prediction based on artificial intelligence techniques combined with statistical methods to study the association between sociodemographic factors and patient survival on the waiting list if they do not receive a kidney transplant. This new approach consists of a first stage that uses the clustering techniques that are best suited to the data structure (K-Means, Mini Batch K-Means, Agglomerative Clustering and K-Modes) used to identify the risk profile of dialysis patients. Later, a new method called False Clustering Discovery Reduction is performed to determine the minimum number of populations to be studied, and whose mortality risk is statistically differentiable. This approach was applied to the OPTN medical dataset (n = 44,663). The procedure started from 11 initial clusters obtained with the Agglomerative technique, and was reduced to eight final risk populations, for which their Kaplan-Meier survival curves were provided. With this result, it is possible to make predictions regarding the survival time of a new patient who enters the waiting list if the sociodemographic profile of the patient is known. To do so, the predictive algorithm XGBoost is used, which allows the cluster to which it belongs to be predicted and the corresponding Kaplan-Meier curve to be associated with it. This prediction process is achieved with an overall Multi-class AUC of 99.08 %.