Dataset Information


Novel lipoprotein subfraction and size measurements in prediction of mortality in maintenance hemodialysis patients.


Background and objectives

Conventional lipid profiles usually cannot predict cardiovascular outcomes in chronic disease states. We hypothesized that novel lipoprotein subfraction concentrations and LDL particle size measurements better predict mortality in maintenance hemodialysis (MHD) patients.

Design, setting, participants, & measurements

Mortality-predictability of LDL particle diameter and lipoprotein subfraction concentrations, measured by novel ion mobility, was examined in a cohort of 235 hemodialysis patients who were followed for up to 6 years using Cox models with adjustment for important covariables.


Patients were 54 ± 14 years old (mean ± SD) and included 45% women with total, LDL and HDL cholesterol levels of 143 ± 42, 76 ± 29, and 37 ± 12 mg/dl, respectively. Over 6 years, 71 patients (31%) died. Conventional lipid profile was not associated with mortality. The death hazard ratio (HR, 95% confidence interval) of the highest versus lowest quartiles of very small and large LDL particle concentrations were 2.43 (1.03 to 5.72) and 0.38 (0.15 to 0.96), respectively. Across increasing quartiles of LDL particle diameter, death HRs were 1.00, 0.93 (0.46 to 1.87), 0.43 (0.21 to 0.89), and 0.45 (0.31 to 1.00), respectively.


Whereas conventional lipid profile cannot predict mortality in MHD patients, larger novel LDL particle diameter or higher large LDL particle concentrations appear predictive of greater survival, whereas higher very small LDL particle concentration is associated with higher death risk. Examining lipoprotein subfraction modulation in chronic diseases is indicated.

PROVIDER: S-EPMC3255365 | BioStudies |

REPOSITORIES: biostudies

Similar Datasets

| S-EPMC7724865 | BioStudies
| S-EPMC3760420 | BioStudies
| S-EPMC2768221 | BioStudies
| S-EPMC2952244 | BioStudies
| S-EPMC6911837 | BioStudies
| S-EPMC8320057 | BioStudies
| S-EPMC4733264 | BioStudies
| S-EPMC3922432 | BioStudies
| S-EPMC3276477 | BioStudies
| S-EPMC8755039 | BioStudies