Measured Versus Calculated Small Dense LDL-Cholesterol and Cardiometabolic Traits in a South African Population
| Autor: | Andre Pascal Kengne, Tandi E. Matsha, Gloudina M. Hon, Muiruri Macharia, Rajiv T Erasmus, M. Masoud |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
education.field_of_study business.industry Clinical Biochemistry Population Regression analysis medicine.disease Standard deviation Pearson product-moment correlation coefficient Correlation 03 medical and health sciences symbols.namesake 030104 developmental biology 0302 clinical medicine 030220 oncology & carcinogenesis symbols medicine Prediabetes Original Research Article Metabolic syndrome education business Body mass index Demography |
| Zdroj: | Indian J Clin Biochem |
| Popis: | Small-dense low density lipoprotein (sdLDL) is increasingly viewed as a marker for evaluating atherogenic risk, however its clinical uptake is hampered by the cumbersomeness of available methods. Consequently, a number of alternative methods for the estimation of sdLDL have been developed and none have been tested in a population from Africa. We evaluated an equation to estimate sdLDL-C from classic lipid parameters in South Africans. This is a cross-sectional study involving 1550 participants in which direct measurement of sdLDL in 237 participants was performed using a homogeneous enzymatic assay. Their mean age (standard deviation, SD) was 54.2 (14.7) years. 156 (65.8%) were normotolerant, 29 (12.2%) prediabetes, 17 (7.2%) screen detected diabetes and 35 (14.8%) known diabetes. Measured sdLDL values ranged from 0.17 to 3.39 versus—1.85 to 2.52 mmol/L calculated sdLDL. There was a significant positive correlation between the two measurements with a Pearson correlation coefficient of 0.659 (95%CI: 0.581–0.726). In a regression model, the adjusted R(2) was 0.440 after adding age, 0.441 after further adding gender, then 0.443 with dysglycemia and lastly 0.447 upon adding body mass index. With the exception of HDL-cholesterol levels that decreased across increasing quintiles of calculated sdLDL, our data showed significant correlations between sdLDL and cardiometabolic risk factors, all p values |
| Databáze: | OpenAIRE |
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