Does LDL-C Estimation Using Anandaraja’s Formula Give a Better Agreement with Direct LDL-C Estimation than the Friedewald’s Formula?

Gupta, Shalini; Verma, Minni; Singh, Kamaljit

doi:10.1007/s12291-011-0186-3

Cited by 36 publications

(38 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This finding is similar to that found in a study done by Kapoor et al 17 and other studies where the correlation ranged between 0.78 and 0.93. [18][19][20] The correlation between D-LDL-C and A-LDL-C in our study was found to be 0.92, which was similar to that of other studies, i.e., correlation of 0.93, 0.89, and 0.81. 18,19,21 Our study found a correlation of 0.94 between MF-LDL-C and D-LDL-C, which was higher than the one found by Kamal et al 18 (r = 0.81) and similar to Kapoor et al 17 (r = 0.95).…”

Section: Discussionsupporting

confidence: 91%

“…[18][19][20] The correlation between D-LDL-C and A-LDL-C in our study was found to be 0.92, which was similar to that of other studies, i.e., correlation of 0.93, 0.89, and 0.81. 18,19,21 Our study found a correlation of 0.94 between MF-LDL-C and D-LDL-C, which was higher than the one found by Kamal et al 18 (r = 0.81) and similar to Kapoor et al 17 (r = 0.95). Table 5: Summary of the measurements of TC, LDL-C (direct), LDL-C (Friedewald), and HDL-C according to TG levels, presented as mean ± SD (lowest level found -greatest level found) with Friedewald formula.…”

Section: Discussionsupporting

confidence: 91%

See 1 more Smart Citation

Comparison of Different estimated Formulas with Direct Estimation of Low-density Lipoprotein Cholesterol

Kanani¹,

Mishra²

2017

Indian Journal of Medical Biochemistry

View full text Add to dashboard Cite

Introduction Recent recommendations of the Adult Treatment Panel and the Adolescents Treatment Panel of the National Cholesterol Education Program make the low-density lipoprotein cholesterol (LDL-C) levels in serum the basis of classification and management of hypercholesterolemia. This makes accurate reporting of LDL-C decisive in the management of coronary heart disease (CHD). Direct measurement of LDL by homogeneous method is accurate but reagent is costly. Therefore, we have to compare different calculated LDL values with direct LDL (D-LDL) values. Aim The aim of this study was (1) to decide if LDL-C level was underestimated/overestimated after it was calculated using the formulae compared with direct measurement of LDL-C and (2) to choose the best calculated method that compares maximum with the direct method. Materials and methods We measured total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL), D-LDL by direct homogeneous method in 500 fasting samples. Simultaneously, Friedewald's (F-LDL-C), modified Friedewald's (MF-LDL-C), and Anandaraja's (A-LDL-C) formulas were also used for calculation of LDL-C. Results A good correlation was found between D-LDL-C as compared with F-LDL-C, MF-LDL-C, and A-LDL-C. Pearson's coefficient of correlation between MF-LDL-C and D-LDL-C was 0.94, which was moderately higher than other calculated methods. Pearson's coefficient of correlation between A-LDL-C and D-LDL-C was 0.92 and F-LDL-C and D-LDL was 0.93. Conclusion In conclusion, among the three LDL-C formulas, the Friedewald formula and Anandaraja' s formulas give a higher percentage of error compared with the modified Friedewald formula Therefore, modified Friedewald's formula is better than the other two formulae for calculating LDL-C in a more cost-effective manner and can be used in large population studies. How to cite this article Kanani DN, Mishra A. Comparison of Different Estimated Formulas with Direct Estimation of Low-density Lipoprotein Cholesterol. Indian J Med Biochem 2017;21(2):151-156.

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 91%

Comparison of Different estimated Formulas with Direct Estimation of Low-density Lipoprotein Cholesterol

Kanani¹,

Mishra²

2017

Indian Journal of Medical Biochemistry

View full text Add to dashboard Cite

show abstract

“…Pero esta fórmula presenta ciertas limitaciones. Con el fin de mejorar la exactitud de dicha estimación, se ha propuesto diversas modificaciones de la fórmula original, pero ninguna ha aportado pruebas suficientes para reemplazarla (17,18) . Las diferentes fórmulas propuestas en diversos estudios para estimar el LDLc han sido validadas para una población particular.…”

Section: Discussionunclassified

Derivación y validación de una ecuación para estimar el colesterol ligado a lipoproteínas de baja densidad en una población de Lima, Perú

OrejÃ3n¹,

Ricra

Huallpa

2017

An Fac med

View full text Add to dashboard Cite

Derivación y validación de una ecuación para estimar el colesterol ligado a lipoproteínas de baja densidad en una población de Lima, PerúDerivation and validation of an equation to determine cholesterol-low density lipoproteins in a population of Lima, Peru Resumen Introducción. Numerosos estudios han demostrado una fuerte asociación entre el aumento de la concentración sérica del colesterol de las lipoproteínas de baja densidad (LDLc) y la incidencia de la enfermedad coronaria (EC). Objetivos. Derivar y validar la performance de una nueva ecuación para estimar el LDLc. Diseño. Estudio observacional y descriptivo. Institución. Hospital Edgardo Rebagliati Martins, Lima, Perú. Material. Informes de perfil lipídico. Intervenciones. La muestra de 4 644 informes de perfil lipídico extraídos de los archivos del laboratorio central, correspondiente a sujetos de ambos sexos, que presentaban edades entre 18 a 75 años, fue repartida en dos grupos. Del primer grupo conformado por 2 136 informes se derivó la ecuación para estimar el LDLc, mediante análisis de regresión múltiple. El segundo grupo conformado por 2 508 informes sirvieron para validar la performance de la nueva ecuación mediante la comparación con la medida del LDLc por el método directo homogéneo y estimado por la fórmula de Friedewald. Principal medida de resultados. Concentración sérica del LDLc. Resultados. La fórmula de Friedewald y la nueva ecuación infraestimaron el LDLc, obteniéndose sesgos de 14,01 mg/dL y 5,52 mg/dL, respectivamente, con respecto al método directo. Los errores sistemáticos en los tres niveles de decisión clínica para el LDLc resultaron ser mayores para la fórmula de Friedewald (12,6%, 12,0% y 11,7%) comparados a la nueva ecuación (4,2%, 5,7% y 6,7%). El factor de corrección de sesgo, que valora la exactitud, resultó ser más alto y más cerca de la línea de perfecta concordancia para la nueva ecuación, en toda la muestra y cuando esta se estratificó por niveles de triglicéridos. Conclusiones. La nueva ecuación ofrece una mayor exactitud y bajo error analítico comparada a la fórmula de Friedewald para estimar el LDLc, en los tres niveles de decisión clínica y en sueros con diferentes valores de triglicéridos. Palabras clave. Lipoproteínas de Baja Densidad; Enfermedad Coronaria; Dislipidemias. Abstract Introduction: Various studies have shown a strong association between the increase in cholesterol low density lipoproteins (LDLc) serum concentration and the incidence of coronary heart disease. Objectives: To derive and validate the performance of a new equation to estimate the LDLc. Design: Observational and descriptive study. Institution: Hospital Edgardo Rebagliati Martins, Lima, Peru. Material: 4 644 lipid profile reports taken from the files of the hospital's central laboratory, belonging to subjects of bot. sexes, between 18 and 75 years old. Interventions: The sample consisted of 4 644 lipid profile reports obtained from the files of the hospital's central laboratory, and belonged to subjects of both sexes aged 18-75 years. It was d...

show abstract

“…The new formula appeared to be more accurate than Friedewald's formula in Indian population. However, Shalini et al [24] reported that Friedewald's formula was better in agreement with measured LDLc (Direct homogeneous method) than Anandaraja's formula in Indian subjects. Interestingly, this new formula was found to be working well in Brazilian [25] and Greek population [26].…”

Section: F Anandaraja Et Al [23]mentioning

confidence: 96%

“…Not worked better than Friedewald's equation in another Indian study [24] LDLc=TC-HDLc-TG/6 Puavikai et al [27] Validated in 1079 fasting samples, better than Friedewald's formula when TG was > 200 mg/dl (200-499)…”

Section: Ldlc=09tc-09tg/5-28mentioning

confidence: 99%

Calculated Low Density Lipoprotein-Cholesterol: Friedewald's Formula versus Other Modified Formulas

Nigam¹

2014

LSMR

View full text Add to dashboard Cite

Abstract-The accurate and precise estimation of LDL-cholesterol is of utmost importance in the patients of coronary heart disease. Friedewald's formula is the most commonly used method for the measurement of LDL-cholesterol in routine clinical laboratories. This formula has certain limitations and to overcome these limitations, several modifications in this classical formula have been suggested and validated against the directly measured LDL-cholesterol values. In this article the utility of these modified formulas has been discussed.

show abstract

Does LDL-C Estimation Using Anandaraja’s Formula Give a Better Agreement with Direct LDL-C Estimation than the Friedewald’s Formula?

Cited by 36 publications

References 32 publications

Comparison of Different estimated Formulas with Direct Estimation of Low-density Lipoprotein Cholesterol

Comparison of Different estimated Formulas with Direct Estimation of Low-density Lipoprotein Cholesterol

Derivación y validación de una ecuación para estimar el colesterol ligado a lipoproteínas de baja densidad en una población de Lima, Perú

Calculated Low Density Lipoprotein-Cholesterol: Friedewald's Formula versus Other Modified Formulas

Contact Info

Product

Resources

About