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      Low-Density Lipoprotein Cholesterol: Association with Mortality and Hospitalization in Hemodialysis Patients

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          Background/Aims: Hypocholesterolemia is a common finding in hospitalized elderly people, critically ill surgical patients, septic patients and end-stage renal disease patients. The different effect of lipid subfractions on patients with end-stage renal disease has never been demonstrated. We aim to study the effect of lipid subfractions on hospitalization and mortality in maintenance hemodialysis (MHD) patients. Methods: Lipid subfractions, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured in 210 patients with MHD in a single dialysis center. Patients were stratified into three groups based on the tertiles of lipid levels, and differences in patient characteristics and survival were evaluated. Results: Of a total of 22 deceased patients in our MHD cohort, infection-related mortality (50%) was higher than cardiovascular-related mortality (18.2%). Significant differences (p < 0.05) in the duration and frequency of hospitalization and in mortality events were observed when patients were divided into different subgroups according to the tertiles of baseline TC and LDL-C levels. Patients with lower LDL had significantly lower levels of albumin, TC and TG. The LDL-C tertiles were similar in terms of age, hypertension, diabetes, biochemical results, hematocrit, adequacy of hemodialysis and normalized protein catabolism rate. Both TC and LDL-C predicted survival (p < 0.001), but not TG and HDL-C in the Kaplan-Meier model. The Cox proportional hazard model demonstrated that baseline serum LDL-C was the best lipid subfraction in predicting all-cause death with an adjusted hazard ratio (95% confidence interval) for each 10 mg/dl of 0.752 (0.631–0.898; p = 0.002). Conclusions: We firstly demonstrated that lipid subfractions, including TC and LDL-C, predict poor outcomes in a MHD cohort with high infection-related mortality.

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          A malnutrition-inflammation score is correlated with morbidity and mortality in maintenance hemodialysis patients.

          Malnutrition inflammation complex syndrome (MICS) occurs commonly in maintenance hemodialysis (MHD) patients and may correlate with increased morbidity and mortality. An optimal, comprehensive, quantitative system that assesses MICS could be a useful measure of clinical status and may be a predictor of outcome in MHD patients. We therefore attempted to develop and validate such an instrument, comparing it with conventional measures of nutrition and inflammation, as well as prospective hospitalization and mortality. Using components of the conventional Subjective Global Assessment (SGA), a semiquantitative scale with three severity levels, the Dialysis Malnutrition Score (DMS), a fully quantitative scoring system consisting of 7 SGA components, with total score ranging between 7 (normal) and 35 (severely malnourished), was recently developed. To improve the DMS, we added three new elements to the 7 DMS components: body mass index, serum albumin level, and total iron-binding capacity to represent serum transferrin level. This new comprehensive Malnutrition-Inflammation Score (MIS) has 10 components, each with four levels of severity, from 0 (normal) to 3 (very severe). The sum of all 10 MIS components ranges from 0 to 30, denoting increasing degree of severity. These scores were compared with anthropometric measurements, near-infrared-measured body fat percentage, laboratory measures that included serum C-reactive protein (CRP), and 12-month prospective hospitalization and mortality rates. Eighty-three outpatients (44 men, 39 women; age, 59 +/- 15 years) on MHD therapy for at least 3 months (43 +/- 33 months) were evaluated at the beginning of this study and followed up for 1 year. The SGA, DMS, and MIS were assessed simultaneously on all patients by a trained physician. Case-mix-adjusted correlation coefficients for the MIS were significant for hospitalization days (r = 0.45; P < 0.001) and frequency of hospitalization (r = 0.46; P < 0.001). Compared with the SGA and DMS, most pertinent correlation coefficients were stronger with the MIS. The MIS, but not the SGA or DMS, correlated significantly with creatinine level, hematocrit, and CRP level. During the 12-month follow-up, 9 patients died and 6 patients left the cohort. The Cox proportional hazard-calculated relative risk for death for each 10-unit increase in the MIS was 10.43 (95% confidence interval, 2.28 to 47.64; P = 0.002). The MIS was superior to its components or different subversions for predicting mortality. The MIS appears to be a comprehensive scoring system with significant associations with prospective hospitalization and mortality, as well as measures of nutrition, inflammation, and anemia in MHD patients. The MIS may be superior to the conventional SGA and the DMS, as well as to individual laboratory values, as a predictor of dialysis outcome and an indicator of MICS.
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            Death risk in hemodialysis patients: the predictive value of commonly measured variables and an evaluation of death rate differences between facilities.

            Logistic regression analysis was applied to a sample of more than 12,000 hemodialysis patients to evaluate the association of various patient descriptors, treatment time (hours/treatment), and various laboratory tests with the probability of death. Advancing age, white race, and diabetes were all associated with a significantly increased risk of death. Short dialysis times were also associated with high death risk before adjustment for the value of laboratory tests. Of the laboratory variables, low serum albumin less than 40 g/L (less than 4.0 g/dL) was most highly associated with death probability. About two thirds of patients had low albumin. These findings suggest that inadequate nutrition may be an important contributing factor to the mortality suffered by hemodialysis patients. The relative risk profiles for other laboratory tests are presented. Among these, low serum creatinine, not high, was associated with high death risk. Both serum albumin concentration and creatinine were directly correlated with treatment time so that high values for both substances were associated with long treatment times. The data suggest that physicians may select patients with high creatinine for more intense dialysis exposure and patients with low creatinine for less intense treatment. In a separate analysis, observed death rates were compared with rates expected on the basis of case mix for these 237 facilities. The data suggest substantial volatility of observed/expected ratios when facility size is small. Nonetheless, a minority of facilities (less than or equal to 2%) may have higher rates than expected when compared with the pool of all patients in this sample. The effect of various laboratory variables on mortality is substantial, while relatively few facilities have observed death rates that exceed their expected values. Therefore, we suggest that strategies designed to improve the overall mortality statistic for dialysis patients in the United States would be better directed toward improving the quality of care for all patients, particularly high-risk patients, within their usual treatment settings rather than trying to identify facilities with high death rate for possible regulatory intervention.
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              Hypocholesterolemia is a significant predictor of death in a cohort of chronic hemodialysis patients.

              Although hypocholesterolemia is common in chronic hemodialysis patients, its effect on survival has not been studied in a large patients population. A cohort of chronic hemodialysis patients (N = 1167) was prospectively followed from January 1991 to January 2001. The survival impact of this cohort, who were divided according to different baseline levels of serum cholesterol, were calculated with the multivariate Cox proportional hazard analysis after adjusting for baseline clinical and laboratory variables. During the study period, 567 (48.6%) patients died. The mean (SD) baseline level of serum cholesterol was 171.0 (40.8) mg/dL and ranged from 76 to 378 mg/dL. The five-year survival rate was highest (0.812) in the subgroup that had a serum cholesterol range of 200 to 219 mg/dL and was lowest (0.608) in the subgroup with serum cholesterol values of or =220 mg/dL. Serum cholesterol was a significant predictor of death with an adjusted hazards ratio (95% confidence interval) was 0.939 (0.891 to 0.989). In a subgroup of patients with serum albumin values > or =4.5 g/dL (N = 128), the adjusted hazards ratio was even greater at 1.370 (1.105 to 1.692). Other than sex, body mass index and serum albumin were significant determinants of baseline levels of serum cholesterol. Hypocholesterolemia was an independent predictor of death in patients on chronic hemodialysis. This impact of hypercholesterolemia on survival was only evident in a subgroup of patients whose serum albumin was more than 4.5 g/dL.

                Author and article information

                Blood Purif
                Blood Purification
                S. Karger AG
                March 2005
                28 February 2005
                : 23
                : 2
                : 134-140
                Department of Internal Medicine, aFar Eastern Memorial Hospital and bNational Taiwan University Hospital, Taipei, Taiwan
                83529 Blood Purif 2005;23:134–140
                © 2005 S. Karger AG, Basel

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                Figures: 1, Tables: 5, References: 19, Pages: 7
                Self URI (application/pdf): https://www.karger.com/Article/Pdf/83529
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