Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks

Joint Authors

Khan, Sikandar Hayat
Fazal, Nadeem
Gilani Shah, Athar Abbas
Manzoor, Syed Mohsin
Asif, Naveed
Ijaz, Aamir
Niazi, Najmusaqib Khan
Yasir, Muhammad

Source

Journal of Lipids

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-11-28

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine
Science

Abstract EN

Background.

Recent literature in lipidology has identified LDL-fractions to be more atherogenic.

In this regard, small density LDL-cholesterol (sdLDLc) has been considered to possess more atherogenicity than other LDL-fractions like large buoyant LDL-cholesterol (lbLDLc).

Recently, Srisawasdi et al.

have developed a method for calculating sdLDLc and lbLDLc based upon a regression equation.

Using that in developing world may provide us with a valuable tool for ASCVD risk prediction.

Objective.

(1) To correlate directly measured and calculated lipid indices with insulin resistance, UACR, glycated hemoglobin, anthropometric indices, and blood pressure.

(2) To evaluate these lipid parameters in subjects with or without metabolic syndrome, nephropathy, and hypertension and among various groups based upon glycated hemoglobin results.

Design.

Cross-sectional study.

Place and Duration of Study.

From Jan 2016 to 15 April 2017.

Subjects and Methods.

Finally enrolled subjects (male: 110, female: 122) were evaluated for differences in various lipid parameters, including measured LDL-cholesterol (mLDLc), HDLc and calculated LDL-cholesterol (cLDLc), non-HDLc, sdLDLC, lbLDLC, and their ratio among subjects with or without metabolic syndrome, nephropathy, glycation index, anthropometric indices, and hypertension.

Results.

Significant but weak correlation was mainly observed between anthropometric indices, insulin resistance, blood pressure, and nephropathy for non-HDLc, sdLDLc, and sdLDLc/lbLDLc.

Generally lipid indices were higher among subjects with metabolic syndrome [{sdLDLc: 0.92 + 0.33 versus 0.70 + 0.29 (p<0.001)}, {sdLDLc/lbLDLc: 0.55 + 0.51 versus 0.40 + 0.38 (p=0.010)}, {non-HDLc: 3,63 + 0.60 versus 3.36 + 0.65 (p=0.002)}].

The fact that the sdLDLc levels provided were insignificant in Kruskall Wallis Test indicated a sharp increase in subjects with HbA1c > 7.0%.

Subjects having nephropathy (UACR > 2.4 mg/g) had higher concentration of non-HDLc levels in comparison to sdLDLc [{non-HDLc: 3.68 + 0.59 versus 3.36 + 0.43} (p=0.007), {sdLDLc: 0.83 + 0.27 versus 0.75 + 0.35 (p=NS)}].

Conclusion.

Lipid markers including cLDLc and mLDLc are less associated with traditional ASCVD markers than non-HDLc, sdLDLc, and sdLDLc/lbLDLc in predicting metabolic syndrome, nephropathy, glycation status, and hypertension.

American Psychological Association (APA)

Khan, Sikandar Hayat& Fazal, Nadeem& Gilani Shah, Athar Abbas& Manzoor, Syed Mohsin& Asif, Naveed& Ijaz, Aamir…[et al.]. 2017. Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks. Journal of Lipids،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1182315

Modern Language Association (MLA)

Khan, Sikandar Hayat…[et al.]. Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks. Journal of Lipids No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1182315

American Medical Association (AMA)

Khan, Sikandar Hayat& Fazal, Nadeem& Gilani Shah, Athar Abbas& Manzoor, Syed Mohsin& Asif, Naveed& Ijaz, Aamir…[et al.]. Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks. Journal of Lipids. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1182315

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1182315