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Validation of the Friedewald Formula in Patients with Metabolic Syndrome
Author(s) -
José Knopfholz,
Caio César Diniz Disserol,
Andressa Jardim Pierin,
Fernanda Letícia Schirr,
Larissa Streisky,
Lilian Lumi Takito,
Patrícia Massucheto Ledesma,
José Rocha FariaNeto,
Márcia Olandoski,
Cláudio L. Pereira da Cunha,
Antonio Milton Bandeira
Publication year - 2014
Publication title -
cholesterol
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.876
H-Index - 20
eISSN - 2090-1291
pISSN - 2090-1283
DOI - 10.1155/2014/261878
Subject(s) - medicine , triglyceride , algorithm , cholesterol , national cholesterol education program , diabetes mellitus , correlation coefficient , metabolic syndrome , endocrinology , machine learning , mathematics , computer science
Currently, the Friedewald formula (FF) is the main method for evaluating low-density lipoprotein cholesterol (LDL-c). Recently, many limitations have emerged regarding its use, including patients with triglyceride levels ≥400 mg/dL, diabetes mellitus, and kidney or hepatic chronic diseases. We analyzed the use of the FF in patients with metabolic syndrome. We selected patients with known metabolic syndrome that fulfilled the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report and excluded patients with triglyceride levels ≥400 mg/dL and chronic liver and/or kidney disease. Using direct assays, we measured total cholesterol, high-density lipoprotein cholesterol, triglycerides, and LDL-c. Then, LDL-c was estimated using the FF and compared with the LDL-c by direct assay. The sample size was 135 patients. Using the FF, the mean LDL-c value was 124.4 ± 42.1 mg/dL; it was 125.1 ± 38.5 mg/dL by direct assay. The correlation coefficient between these two methods was 0.89, with statistical significance ( P   value < 0.001). There were no significant differences between the patients with triglyceride levels >150 mg/dL ( P = 0.618). In conclusion, FF is a good method for estimating LDL-c in patients with metabolic syndrome.

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