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Objective To investigate the factors affecting the efficacy of leflunomide combined with medium/low dose corticosteroids in the treatment of progressive IgA nephropathy (IgAN).Methods Clinical and pathological parameters were collected retrospectively in patients of primary IgAN with proteinuria＞ 1.0 g/24 h and chronic kidney disease (CKD) stage 1-3 treated with leflunomide combined with medium/low dose corticosteroids in Ren Ji Hospital,School of Medicine,Shanghai Jiao Tong University from Jan 2005 to Dec 2010.According to the treatment effects,patients were divided into complete remission group and non-complete remission group.The biochemical and pathological indexes of the two groups were compared.Results A total of 42 patients were included.The remission rates at 3,6,9 and 12 months were 62％,64％,67％ and 74％,respectively.Seventeen (40.5％) and fourteen (33.3％) patients achieved complete and partial remission after one-year treatment,and the remission rate remained stable within one year after withdrawal of drugs.The 24hour proteinuria was 1.50 (0.67,2.66) g,which was significantly reduced compared with the baseline 2.44 (1.36,3.74) g (P ＜ 0.01).The decrease rate was 31.3％.There was a slight decrease in proteinuriawithin one year after withdrawal of drugs.Estimated glomerular filtration rate (eGFR) remained stable during the treatment and a year of follow-up.No serious adverse event was observed during the followup period.Among 31 responder patients,6(19.4％) patients relapsed.Logistic multivariate regression analysis suggested that the degree of renal interstitial inflammatory infiltration was an independent predictor of complete remission with one-year treatment of leflunomide combined with medium / low dose corticosteroids (HR=0.067,95％ CI 0.008-0.535,P=0.011).Conclusions IgAN treated with leflunomide and medium/low dose corticosteroids can achieve remission in early stage,and the remission rate remains stable after withdrawal of drugs.It is a safe option for the treatment of IgAN.Renal interstitial inflammatory infiltration is an independent predictor of complete remission.
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Objective To evaluate the nutritional status in maintenance hemodialysis patients using objective score of nutrition on dialysis.Methods Patients on maintenance hemodialysis were randomly selected and divided into three groups based on objective score of nutrition on dialysis:normal nutritional status group,moderate nutritional status group,and low nutritional status group.Logistic regression analysis was performed to identify factors of malnutrition.Furthermore,the results were compared with those of subjective global assessment.Results Totally 75 patients(male:female =1.13∶1)with a mean age of(54.90 ± 12.10)years and a mean vintage of (85.37 ± 54.17)months were enrolled.As determined by objective score of nutrition on dialysis,15 patients (20％)were divided into normal nutritional status group,42(56％)into moderate nutritional status group,and 18(24％)into low nutritional status group.Compared with the normal nutritional status group,the low nutritional status group had significantly different body mass index[(19.81 ± 2.22)vs(23.90 ± 2.44)kg/m2,P =0.030]and dry weight[(50.85 ± 7.60)vs(59.94 ± 10.89)kg,P =0.020].In addition,compared with normal nutritional status group,the moderate nutritional status group and low nutritional status group had significantly different total cholesterol[(4.60 ± 0.84)and(3.73 ± 0.68)mmol/L vs(5.71 ± 1.64)mmol/L,P =0.011,P =0.000],normalized protein catabolic rate[1.17 and 1.15 g/(kg · d)vs 1.45 g/(kg · d),P =0.030,P =0.010],triceps skinfold thickness[(1.44±0.77)and(1.00±0.41)cmvs(1.80±0.63)cm,P=0.032,P=0.020],mid-ann circumference[(24.85±1.48)and(21.66±1.48)cmvs(24.99 ±2.30)cm,P=0.046,P =0.037].Logistic regression analysis indicated C-reactive protein(OR =12.482,95％ CI =0.190-130.928,P =0.035)and normalized protein catabolic rate(OR =0.128,95％ CI =0.022-0.736,P =0.021)were significantly correlated with malnutrition.Conclusion Malnutrition is common in hemodialysis patients,with inflammation and low protein intake being its independent factors.
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Objective To assess sleep quality and daytime sleepiness in patients on maintenance high flux hemodialysis, and discussed the associated factors. Methods A total of 112 high flux hemodialysis patients and 53 normal subjects were estimated by Pittsburgh sleep quality index (PSQI) and Epworth Sleep Scale (ESS) to assess the sleep quality and day time sleepiness. Global score of these questionnaires were analyzed. Seven components' scores and 9 reasons for sleep disturbances were compared between "good" (global PSQI ≤5) and "bad" (global PSQI＞5) sleepers. Sleep quality was compared among different shifts of hemodialysis. The impact of clinical factors on sleep quality were analyzed by multivariate linear regression and logistic regression. Results Compared with control group, hemodialysis group had a higher PSQI (7.02±4.94 vs 3.28±2.79, P＜0.05) and a lower ESS score [3(0-6) vs 8(4.25-11.75), P＜0.05] . 58% patients were "bad" sleepers and sleep latency was longer (30 min vs 15 min, P＜0.05). Insomnia was the main problem. Patients on morning shift, afternoon shift and night shift had similar subjective sleep quality. Age (OR=1.75, P=0.003), dialysis vintage (OR=1.26, P=0.008),hemoglobin (OR=0.64, P=0.008), calcium phosphate product (OR=1.60, P=0.02) were significantly related to sleep quality score. Conclusions Sleep disturbance is common in hemodialysis patients. Older age, longer dialysis vintage, anemia and higher calcium phosphate product are risk factors for poor sleep quality.
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Objective To assess peritonitis rate in peritoneal dialysis. Methods The peritonitis rate from 1999 Aug. 1st to 2004 Jun 30th in Renji Peritoneal Dialysis Center was analyzed retrospectively. Various methods including cohort-specific peritonitis incidence, negative binomial distribution model, median subject-specific peritonitis incidence and peritonitis-free survival were used for the analysis. Results Cohort-specific peritonitis incidence was 1756. 14 patient-month, the mean peritonitis rate estimated using the negative binomial model was 1/49.58 patient-month, median subject-specific peritonitis rate was 0, mean peritonitis-free survival time was 39. 71 months, the peritonitis-free time was inversely correlated with subject-specific peritonitis rate(P