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Objective To observe the protective effect of bioimpedance spectroscopy guided ultrahltration on residual renal function in new hemodialysis patients.Methods Patients with end-stage renal disease recruited from January 2015 to June 2016,were randomly divided into experimental group and control group.And all the patients were followed up for 3 months.The ultrafiltration was guided by the bioimpedance spectroscopy analysis in the experimental group,while the ultrafiltration was based on the edema,blood pressure,symptoms of low blood pressure and the increase of weight during the hemodialysis interphase in the control group.The difference of residual renal function,24 hours urine volume and the incidence rate of adverse events between the two groups were collected.Results Compared with the control group,the urine volume(932.58 ± 230.16 ml vs 584.45 ± 137.76 ml,t =7.226,P ＜ 0.001) and residual renal function (RRF) (4.55 ± 0.90 ml/min vs 3.08 ±0.68 ml/min,t =7.300,P ＜0.001)in the experimental group were higher.The drop of RRF(3.14 ±2.05 ml/min vs 4.40 ±2.09 ml/min,t =-2.384,P =0.020) and urinary volume (452.58 ±456.96 ml vs 877.45 ± 452.45 ml,t =-3.679,P =0.001) were lower in the experimental group.While there was no significant difference in the incidence of adverse events between the two groups (t =2.081,P =0.084).Conclusions It is helpful for slowing down the decline of residual renal function by using the bioimpedance spectroscopy guided ultrafiltration.
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ObjectiveTo explore the cause of early death (death within 3-12 months after hemodialysis) and the related influencing factors patients undergoing maintenance hemodialysis (MHD) as to provide a scientific basis for the prevention of early death.Methods A retrospective matched controlled study was conducted. Fifty-one patients who underwent MHD from January 2004 to April 2014 and died within 3-12 months after hemodialysis in hemodialysis center of the 174th Chinese People's Liberation Army Hospital were included in the case group by retrospective analysis method. According to 1∶2 matched controls, 102 patients underwent hemodialysis in the same period (±2 months) and survived over 12 months were selected as control group. All patients received regular hemodialysis (dialysis 2-3 times per week), with conventional limitation of water and sodium intake, routine treatments such as control of blood pressure, treatment of anemia and disorders of calcium and phosphorus contents. Causes of short-term death were analyzed. Clinical and biochemical parameters of two groups were collected when dialysis was started, and the single factor and multiple factors logistic regression was used to analyze the related risk factors when dialysis was started. Receiver operating characteristic curve (ROC) was plotted to evaluate the value of above parameters in predicting the early death in patents with MHD.Results The main causes of early death of 51 patients with MHD were mainly cardiovascular and cerebrovascular diseases (27 cases, 52.9%), and infections (15 cases, 29.4%). It was shown by single factor analysis that the age [odds ratio (OR) = 6.625, 95% confidence interval (95%CI) = 3.232-13.580,P = 0.000], diabetes (OR = 3.875, 95%CI = 0.654 - 10.622,P = 0.031), specialist intervention time before dialysis (OR = 0.349, 95%CI =0.287 - 0.572,P = 0.004), the emergence of cardiovascular and cerebrovascular events before dialysis (OR = 9.667, 95%CI = 4.632 - 20.174,P = 0.000), the first dialysis for emergency dialysis (OR = 3.875, 95%CI = 1.713 - 8.765, P = 0.005), blood albumin level (OR = 0.294, 95%CI = 0.068 - 0.550,P = 0.008), leukocyte count (OR = 6.286, 95%CI = 1.648 - 23.982,P = 0.026), neutrophil count (OR = 2.833, 95%CI = 1.630 - 4.923,P = 0.001) might be the factors correlating with early death. Eight independent factors were statistically significant, and their effect on the MHD patients was analyzed by logistic regression analysis inα = 0.05 level. The results showed that patients with old age (OR = 1.054, 95%CI = 1.019-1.090,P = 0.002), and the emergence of cardio-cerebrovascular events (OR = 7.469, 95%CI = 2.474 - 22.545,P = 0.000)were early death risk factors of MHD patients, and early specialist intervention before dialysis was a protective factor (OR = 0.286, 95%CI = 0.113-0.722,P = 0.008). ROC curve showed that age had moderate diagnostic value for early death of MHD [area under ROC curve (AUC) = 0.756], the cut-off value was 59.0 years old, the sensitivity was 66.7%, and the specificity was 77.5%. The diagnostic value of early specialist intervention before dialysis was relatively low (AUC = 0.367), the cut-off value was 0.875 years, the sensitivity was 39.2%, and the specificity was 33.3%.Conclusion Old age, the emergency of cardiovascular and cerebrovascular events before dialysis is associated with early death, and specialist intervention ahead of dialysis can reduce the risk of early death.
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Objective To investigate the changes of microinflammatory indicators in the maintenance hemodialysis patients to provide the new idea for clinical treatment.Methods Serum super sensitive C reactive protein (hs-CRP),interleukin 6(IL-6),tumor necrosis factorα(TNF-α),homocysteine(Hcy),malondialdehyde(MDA),albumin(ALB),hemoglobin,transferrin(Tf)levels and in-tact parathyroid hormone(iPTH)levels in 80 patients with hemodialysis were detected and the results were compared with those in the normal healthy population.Results The hs-CRP,IL-6,TNF-αlevels in the maintenance hemodialysis patients were significantly higher than those in the normal healthy population (P <0.05 ),the CRP level was positively correlated with IL-6,TNF-α,Hcy, MDA and iPTH levels and negatively correlated with ALB and Tf levels.Conclusion The microinflammatory indicators in the ma-intenance hemodialysis patients are higher than those in the normal people,which urgently need to conduct the related treatment.
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Objective To explore the most important risk factors in metabolic syndrome(MS) components.Methods Ninety-four individuals were classified into MS and non-MS group according to the diagnostic criteria for MS proposed by Chinese Diabetes Society(CDS) revised in 2006 or International Diabetes Federal(IDF) in 2005.Age,waist circumference(WC),body mass index(BMI),fasting plasma glucose,lipid profile,blood pressure and blood cell counts in two groups were compared.Partial least squares discriminant analysis(PLSDA) was carried out to determine the most important components of MS.Results Patients with MS diagnosed by CDS or IDF criteria have significantly older age,higher BMI,WC,blood pressure,fasting plasma glucose,triglycerides,insulin levels,insulin resistance index,high sensitivity CRP and fibrinogen levels compared with non-MS group.PLSDA analysis shows WC,BMI,blood pressure and aging are most important components of MS.Conclusion Obesity,hypertension and aging are three most important components of MS with obesity is the utmost among them.
