Our findings in a cohort of ESRD patients on maintenance HD revealed higher values for NLR and PLR in patients with higher levels of inflammation along with a significant positive correlation of both NLR and PLR with hs-CRP levels. Being a simple, relatively inexpensive and universally available method, whether or not calculation of NLR and PLR offers a plausible strategy in the evaluation of inflammation in ESRD patients in the clinical practice should be addressed in larger scale randomized and controlled studies.
Introduction: Removal of uremic toxins is a main objective of hemodialysis; however, whether high-flux and medium cutoff (MCO) membranes differ as regards removal of middle and large uremic toxins is not clear. Objective: To compare medium cutoff and high-flux dialyzers as regards their intra-and interdialysis effect on circulating levels of middle and large uremic toxins and serum albumin. Methods: Fiftytwo patients were randomized to have hemodialysis with either 3 months of high-flux dialyzer followed by 3 months of MCO or vice versa. Blood samples were taken before and after dialysis at the first and last sessions of each dialyzer for analyses of middle and large uremic toxins including inflammatory mediators and vascular endothelial growth factor (VEGF), and serum albumin. Results: Reduction rates were higher, and postdialysis levels of β-2 microglobulin, free kap-pa and lambda light chains, and myoglobulin were lower at the first and last sessions with MCO dialyzers compared to high-flux dialyzers (p < 0.05 for all). Last session predialysis levels of β-2 microglobulin, free kappa light chain, and free lambda light chain were lower than first session predialysis levels in MCO dialyzers as compared to high-flux dialyzers (p < 0.05 for all). Last session levels of interleukin-6, interleukin-10, interleukin-17, and interferon-gamma did not differ between dialyzers (p > 0.05 for all). VEGF level was lower in the MCO group compared to the high-flux group (p = 0.043). Last session level of serum albumin with MCO dialyzers was lower than that with high-flux dialyzers (3.62 [3.45-3.88] vs. 3.78 [3.58-4.02] g/L) (p = 0.04) and 6.7% lower (p < 0.001) than at the first session of MCO dialyzers. Conclusion: The decline in circulating levels of several middle and large uremic toxins including VEGF following hemodialysis was more pronounced when using MCO membranes as compared to high-flux membranes while their effect on inflammatory molecules was similar.
OBJECTIVES:To evaluate the clinical outcomes and identify the predictors of mortality in elderly patients undergoing peritoneal dialysis.METHODS:We conducted a retrospective study including all incident peritoneal dialysis cases in patients ≥65 years of age treated from 2001 to 2014. Demographic and clinical data on the initiation of peritoneal dialysis and the clinical events during the study period were collected. Infectious complications were recorded. Overall and technique survival rates were analyzed.RESULTS:Fifty-eight patients who began peritoneal dialysis during the study period were considered for analysis, and 50 of these patients were included in the final analysis. Peritoneal dialysis exchanges were performed by another person for 65% of the patients, whereas 79.9% of patients preferred to perform the peritoneal dialysis themselves. Peritonitis and catheter exit site/tunnel infection incidences were 20.4±16.3 and 24.6±17.4 patient-months, respectively. During the follow-up period, 40 patients were withdrawn from peritoneal dialysis. Causes of death included peritonitis and/or sepsis (50%) and cardiovascular events (30%). The mean patient survival time was 38.9±4.3 months, and the survival rates were 78.8%, 66.8%, 50.9% and 19.5% at 1, 2, 3 and 4 years after peritoneal dialysis initiation, respectively. Advanced age, the presence of additional diseases, increased episodes of peritonitis, the use of continuous ambulatory peritoneal dialysis, and low albumin levels and daily urine volumes (<100 ml) at the initiation of peritoneal dialysis were predictors of mortality. The mean technique survival duration was 61.7±5.2 months. The technique survival rates were 97.9%, 90.6%, 81.5% and 71% at 1, 2, 3 and 4 years, respectively. None of the factors analyzed were predictors of technique survival.CONCLUSIONS:Mortality was higher in elderly patients. Factors affecting mortality in elderly patients included advanced age, the presence of comorbid diseases, increased episodes of peritonitis, use of continuous ambulatory peritoneal dialysis, and low albumin levels and daily urine volumes (<100 ml) at the initiation of peritoneal dialysis.
Background Acute kidney injury (AKI) is common in coronavirus disease-2019 (COVID-19) and the severity of AKI is linked to adverse outcomes. In this study, we investigated the factors associated with in-hospital outcomes among hospitalized patients with COVID-19 and AKI. Methods In this multicenter retrospective observational study, we evaluated the characteristics and in-hospital renal and patient outcomes of 578 patients with confirmed COVID-19 and AKI. Data were collected from 34 hospitals in Turkey from March 11 to June 30, 2020. AKI definition and staging were based on the Kidney Disease Improving Global Outcomes criteria. Patients with end-stage kidney disease or with a kidney transplant were excluded. Renal outcomes were identified only in discharged patients. Results The median age of the patients was 69 years, and 60.9% were males. The most frequent comorbid conditions were hypertension (70.5%), diabetes mellitus (43.8%), and chronic kidney disease (CKD) (37.6%). The proportions of AKI stages 1, 2, and 3 were 54.0%, 24.7%, and 21.3%, respectively. 291 patients (50.3%) were admitted to the intensive care unit. Renal improvement was complete in 81.7% and partial in 17.2% of the patients who were discharged. Renal outcomes were worse in patients with AKI stage 3 or baseline CKD. The overall in-hospital mortality in patients with AKI was 38.9%. In-hospital mortality rate was not different in patients with preexisting non-dialysis CKD compared to patients without CKD (34.4 versus 34.0%, p = 0.924). By multivariate Cox regression analysis, age (hazard ratio [HR] [95% confidence interval (95%CI)]: 1.01 [1.0–1.03], p = 0.035], male gender (HR [95%CI]: 1.47 [1.04–2.09], p = 0.029), diabetes mellitus (HR [95%CI]: 1.51 [1.06–2.17], p = 0.022) and cerebrovascular disease (HR [95%CI]: 1.82 [1.08–3.07], p = 0.023), serum lactate dehydrogenase (greater than two-fold increase) (HR [95%CI]: 1.55 [1.05–2.30], p = 0.027) and AKI stage 2 (HR [95%CI]: 1.98 [1.25–3.14], p = 0.003) and stage 3 (HR [95%CI]: 2.25 [1.44–3.51], p = 0.0001) were independent predictors of in-hospital mortality. Conclusions Advanced-stage AKI is associated with extremely high mortality among hospitalized COVID-19 patients. Age, male gender, comorbidities, which are risk factors for mortality in patients with COVID-19 in the general population, are also related to in-hospital mortality in patients with AKI. However, preexisting non-dialysis CKD did not increase in-hospital mortality rate among AKI patients. Renal problems continue in a significant portion of the patients who were discharged.
Background: to evaluate the relationship between FGF23 and changes in biochemical parameters, left ventricle mass index, coronary, aortic and, valve calcifications. Methods: Totally 185 patients with chronic renal disease were included in this prospective, cross-sectional study. The patients were stratified according to GFR levels (mL/min/1.73m2) into 5 groups: ≥60, 45-59, 30-44, 15-29 and <15 (group 1-5 respectively).Biochemical parameters, serum FGF23 levels were measured. Echocardiographic assessments and Coronary artery calcification (CAC) with multidetector computerized tomography (MDCT) were done, left ventricle muscle mass (LVMI) was measured all patients. Results: Left ventricular hypertrophy (LVH), aortic and valve calcification were detected in 27.8%, 25.3% and 12% of patients respectively. CAC was detected in 18 patients. LVMI and FGF23 levels were found to increase proportionally with the severity of renal failure. A significant positive correlation between FGF-23 level and serum phosphate, logPTH, and CaxP product was found. While a correlation between FGF-23 and valve calcification was detected, no correlation could be detected with LVMI, LVH, coronary and aortic calcification. Conclusion: In CKD, circulating FGF-23 and LVMI levels gradually increase with declining renal function such that by the time patients reach end-stage renal disease. Correlation between logFGF23 and valve calcification was significant, whereas no statistically significant relationship was found between logFGF23 and LVMI, LVH, aortic and coronary artery calcifications.
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