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Letter to the Editor Importance of the Selected Cut-Offs for Serum Uric Acid and Lipids Levels Huseyin Kayadibi, 1 Erdim Sertoglu, 2 and Metin Uyanik 3 1 Biochemistry Laboratory, Department of Medical Biochemistry, Adana Military Hospital, 01150 Adana, Turkey 2 Biochemistry Laboratory, Ankara Mevki Military Hospital, Anittepe Dispensary, Ankara, Turkey 3 Department of Medical Biochemistry, Gulhane School of Medicine, Ankara, Turkey Correspondence should be addressed to Huseyin Kayadibi; [email protected] Received 21 March 2014; Accepted 6 May 2014; Published 14 May 2014 Academic Editor: Louis Yen Copyright © 2014 Huseyin Kayadibi et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We read with great interest the recently published article “e prevalence of nonalcoholic fatty liver disease and relationship with serum uric acid level in Uyghur population” by Cai et al. [1]. Authors have investigated the prevalence of nonalcoholic fatty liver disease (NAFLD) and the association of serum uric acid (SUA) level with NAFLD in Uyghur people. ey concluded that SUA level was significantly associated with NAFLD, and the prevalence rate of NAFLD increased with progressively higher SUA levels. However, we think that there are some points that should be emphasized about this study. Firstly, the cut-off value for fasting plasma glucose (FPG) was taken as 6.10 mmol/L in Table 5, while it was determined as 5.6 mmol/L in the section Diagnostic Criteria. Due to this difference, value, determined by multivariate logistic regression analysis, may vary and even become meaningless while it was statistically significant. Secondly, since total cholesterol (TC) is defined as the sum of HDL-C, LDL-C, and VLDL-C, it has to be technically higher than LDL-C. However, in Table 5 the same regression cut-off values were used for TC and LDL-C. is improper preference may lead to incorrect results in regression analysis. In addition, as can be seen in Table 6, authors included three lipid parameters (TC, TG, and HDL-C) into the multivariate logistic regression analysis. However, since these parameters are tightly correlated with each other, results, especially odds ratio and Wald value, can easily be affected. Adding or removing only a single parameter to multivariate logistic regression analysis will change all of the results, due to the relative effect of each parameter. irdly, in many studies, different diagnostic crite- ria for hyperuricemia were used for males (>7 mg/dL or >420 mol/L) and females (>6 mg/dL or >360 mol/L), as indicated in the original study [24]. However, this disti- nction was not taken into consideration when comparing the NAFLD group with non-NAFLD group in Table 2. 42.8% of non-NAFLD and 72.4% of NAFLD patients were male. is big difference of 29.6% may be the reason for the statistical significance. When patients were divided according to the gender, this significance may not be seen. In conclusion, in multivariate logistic regression analysis included and removed parameters are highly important since the relative effect of each parameter is calculated in this ana- lysis. It is also important to use the gender specific reference ranges for SUA. Conflict of Interests e authors state that there is no conflict of interests regard- ing the publication of this paper. References [1] W. Cai, J. M. Song, B. Zhang, Y. P. Sun, H. Yao, and Y. X. Zhang, “e prevalence of nonalcoholic Fatty liver disease and Hindawi Publishing Corporation e Scientific World Journal Volume 2014, Article ID 746561, 2 pages http://dx.doi.org/10.1155/2014/746561

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Page 1: Letter to the Editor Importance of the Selected Cut-Offs ...downloads.hindawi.com/journals/tswj/2014/746561.pdfe Scientic World Journal relationship with serum uric Acid level in uyghur

Letter to the EditorImportance of the Selected Cut-Offs for Serum Uric Acid andLipids Levels

Huseyin Kayadibi,1 Erdim Sertoglu,2 and Metin Uyanik3

1 Biochemistry Laboratory, Department of Medical Biochemistry, Adana Military Hospital, 01150 Adana, Turkey2 Biochemistry Laboratory, Ankara Mevki Military Hospital, Anittepe Dispensary, Ankara, Turkey3 Department of Medical Biochemistry, Gulhane School of Medicine, Ankara, Turkey

Correspondence should be addressed to Huseyin Kayadibi; [email protected]

Received 21 March 2014; Accepted 6 May 2014; Published 14 May 2014

Academic Editor: Louis Yen

Copyright © 2014 Huseyin Kayadibi et al. This is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited.

We read with great interest the recently published article “Theprevalence of nonalcoholic fatty liver disease and relationshipwith serum uric acid level in Uyghur population” by Cai et al.[1]. Authors have investigated the prevalence of nonalcoholicfatty liver disease (NAFLD) and the association of serumuric acid (SUA) level with NAFLD in Uyghur people. Theyconcluded that SUA level was significantly associated withNAFLD, and the prevalence rate of NAFLD increased withprogressively higher SUA levels. However, we think that thereare some points that should be emphasized about this study.

Firstly, the cut-off value for fasting plasma glucose (FPG)was taken as 6.10mmol/L in Table 5, while it was determinedas 5.6mmol/L in the section Diagnostic Criteria. Due tothis difference, 𝑃 value, determined by multivariate logisticregression analysis, may vary and even become meaninglesswhile it was statistically significant.

Secondly, since total cholesterol (TC) is defined as thesum of HDL-C, LDL-C, and VLDL-C, it has to be technicallyhigher than LDL-C. However, in Table 5 the same regressioncut-off values were used for TC and LDL-C. This improperpreferencemay lead to incorrect results in regression analysis.In addition, as can be seen in Table 6, authors included threelipid parameters (TC, TG, and HDL-C) into the multivariatelogistic regression analysis. However, since these parametersare tightly correlated with each other, results, especially oddsratio and Wald value, can easily be affected. Adding orremoving only a single parameter to multivariate logistic

regression analysis will change all of the results, due to therelative effect of each parameter.

Thirdly, in many studies, different diagnostic crite-ria for hyperuricemia were used for males (>7mg/dL or>420𝜇mol/L) and females (>6mg/dL or >360𝜇mol/L), asindicated in the original study [2–4]. However, this disti-nction was not taken into consideration when comparing theNAFLD group with non-NAFLD group in Table 2. 42.8% ofnon-NAFLD and 72.4% of NAFLD patients were male. Thisbig difference of 29.6% may be the reason for the statisticalsignificance. When patients were divided according to thegender, this significance may not be seen.

In conclusion, in multivariate logistic regression analysisincluded and removed parameters are highly important sincethe relative effect of each parameter is calculated in this ana-lysis. It is also important to use the gender specific referenceranges for SUA.

Conflict of Interests

The authors state that there is no conflict of interests regard-ing the publication of this paper.

References

[1] W. Cai, J. M. Song, B. Zhang, Y. P. Sun, H. Yao, and Y. X.Zhang, “The prevalence of nonalcoholic Fatty liver disease and

Hindawi Publishing Corporatione Scientific World JournalVolume 2014, Article ID 746561, 2 pageshttp://dx.doi.org/10.1155/2014/746561

Page 2: Letter to the Editor Importance of the Selected Cut-Offs ...downloads.hindawi.com/journals/tswj/2014/746561.pdfe Scientic World Journal relationship with serum uric Acid level in uyghur

2 The Scientific World Journal

relationship with serum uric Acid level in uyghur population,”The Scientific World Journal, vol. 2014, Article ID 393628, 7pages, 2014.

[2] E. Sertoglu, C. N. Ercin, G. Celebi et al., “The relationship ofserum uric acid with non-alcoholic fatty liver disease,” ClinicalBiochemistry, vol. 47, no. 6, 383388 pages, 2014.

[3] S. Petta, C. Camma, D. Cabibi, V. di Marco, and A. Craxı,“Hyperuricemia is associated with histological liver damagein patients with non-alcoholic fatty liver disease,” AlimentaryPharmacology andTherapeutics, vol. 34, no. 7, pp. 757–766, 2011.

[4] Z. Cai, X. Xu, X. Wu, C. Zhou, and D. Li, “Hyperuricemia andthe metabolic syndrome in Hangzhou,” Asia Pacific Journal ofClinical Nutrition, vol. 18, no. 1, pp. 81–87, 2009.

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