Literature DB >> 20446783

Validation of the Friedewald formula for the determination of low-density lipoprotein cholesterol in renal transplant recipients.

Mustafa Balal1, Saime Paydas, Tamer Inal, Erkan Demir, Cemal Kurt, Yasar Sertdemir.   

Abstract

UNLABELLED: In large patient populations, it has been established that calculated (c) and measured (m) plasma levels of low-density lipoprotein cholesterol (LDL-C) were comparable, but this issue is not known to be tested in renal transplant recipients (RTRs). Herein we aimed to compare the plasma levels of LDL-C that was calculated by Friedewald formula (FF) and direct measurement in RTRs.
METHODS: LDL-C was measured by direct method and by FF in 193 fasting venous blood samples obtained from 103 RTRs. Patients had triglyceride (TG) levels <400 mg/dL. Patients were treated with prednisolone, calcineurin inhibitors (CNIs), and/or sirolimus and everolimus.
RESULTS: The mean plasma levels of LDL-C for calculated and direct measurement were 100.81 +/- 32.79 mg/dL and 107.82 +/- 33.23 mg/dL, respectively (p < 0.01). The differences between cLDL-C and mLDL-C were similar according to usage of angiotensin receptor blockers (ARB)/angiotensin-converting enzyme inhibitors (ACEI), CNI, or mammalian target of rapamycin inhibitor (mTOR), tacrolimus or cyclosporine, and serum creatinine levels. mLDL-C and cLDL (FF) were highly correlated (r = 0.977). The mLDL-C level was calculated by following formula: LDL-C = 8.018 + (0.99 x FF cLDL-C) and the mean difference was 0 for last formula.
CONCLUSION: The LDL-C can be calculated by the following formula: LDL-C = 8.018 + (0.99 x FF LDL-C). The coefficient of determination correlation (r) for this regression was 0.977, which indicates that the calculated LDL-C levels can be used in RTRs with TG lower than 400 mg/dL. mLDL-C was significantly higher than cLDL-C. We observed that difference between cLDL-C and mLDL-C levels were not affected by serum creatinine levels and usage of CNIs, sirolimus, everolimus, ACEI, and ARB in RTRs.

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Year:  2010        PMID: 20446783     DOI: 10.3109/08860221003658266

Source DB:  PubMed          Journal:  Ren Fail        ISSN: 0886-022X            Impact factor:   2.606


  2 in total

1.  Effect of dietary patterns differing in carbohydrate and fat content on blood lipid and glucose profiles based on weight-loss success of breast-cancer survivors.

Authors:  Henry J Thompson; Scot M Sedlacek; Devchand Paul; Pamela Wolfe; John N McGinley; Mary C Playdon; Elizabeth A Daeninck; Sara N Bartels; Mark R Wisthoff
Journal:  Breast Cancer Res       Date:  2012-01-06       Impact factor: 6.466

2.  Comparison of various formulae for estimating low-density lipoprotein cholesterol by a combination of ages and genders in Taiwanese adults.

Authors:  Chung-Huang Tsai; Hsin-Hung Wu; Shao-Jen Weng
Journal:  BMC Cardiovasc Disord       Date:  2014-09-02       Impact factor: 2.298

  2 in total

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