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Letters to Editor
24 (
1
); 66-66

Author's reply

Department of Internal Medicine, Division of Nephrology, Selcuk University, Meram School of Medicine, Konya, Turkey
Istanbul University, Istanbul School of Medicine, Department of Medico-social, Istanbul University, Istanbul School of Medicine, Istanbul, Turkey
Department of Cardiology, Istanbul, Turkey
Department of Internal Medicine, Istanbul, Turkey
Department of Nephrology, Istanbul, Turkey

Address for correspondence: Dr. Kultigin Turkmen, Department of Nephrology, Selcuk University Meram School of Medicine, Turkey. E-mail: mdkt2010@yahoo.com

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This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Disclaimer:
This article was originally published by Medknow Publications & Media Pvt Ltd and was migrated to Scientific Scholar after the change of Publisher.

Sir,

We would like to thank to Demirkol et al.,[1] for their contructive comments on our manuscript entitled “neutrophil-to-lymphocyte ratio (NLR), insulin resistance, and endothelial dysfunction in patients with autosomal dominant polycystic kidney disease (ADPKD).”[2] In the present study, the mean serum creatinine levels of the ADPKD patients and the healthy controls are 0.87 ± 0.19 mg/dl and 0.82 ± 0.13 mg/dl, respectively. We agree with Demirkol et al., Regarding the use of chronic kidney disease (CKD)-epidemiology collaboration formula to predict glomerular filtration rate (GFR). However, in CKD patients with normal serum creatinine levels as in the present study, the possible confounding of creatinine generation and renal tubular creatinine secretion is expected toplay a minor role[3] and Cockcroft-Gault (CG) might be used to estimate GFR in CKD patients with normal serum creatinine.[4] Hence, the CG formula also can be applied to predict GFR in such patients. Therefore, we preferred the CG equation to measure GFR in the present study.

In CKD patients, chronic inflammation is one of the major cause of atherosclerosis. In recent years, NLR was found to be significantly correlated with inflammatory markerincludinghs-C-reactive protein, pentraxin-3, tumor necrosis factor-α and interleukin-6 in CKD population receiving renal replacement therapy.[56] Thus, to predict inflammation, NLR might be used in this population. There is also growing evidence that other variables such as platelet-lymphocyte ratio, red cell distribution width, platelet distribution width, platelet crit and mean platelet volume might predict inflammation. Unfortunately, to date, there is no scorring system including these parameters to define the inflammatory status in CKD population. Hence, NLR might be used to predict inflammation in this population accurately.

References

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