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ORIGINAL ARTICLE
Year : 2019  |  Volume : 22  |  Issue : 11  |  Page : 1463-1466

Can clomiphene citrate resistance be predicted by RDW-CV levels in infertile women with PCOS?


1 Department of Obstetrics and Gynecology, Dicle University, Faculty of Medicine, Diyarbakir, Turkey
2 Department of Obstetrics and Gynecology, Health Sciences University, Gazi Yasargil Training and Research Hospital, Diyarbakir, Turkey
3 Department of Obstetrics and Gynecology, Adıyaman University, Faculty of Medicine, Adıyaman, Turkey
4 Department of Internal Medicine, Health Sciences University, Gazi Yasargil Training and Research Hospital, Diyarbakir, Turkey

Correspondence Address:
Assist. Prof. Nurullah Peker
Department of Obstetrics and Gynecology, Dicle University, Faculty of Medicine, Diyarbakir 21070
Turkey
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/njcp.njcp_666_18

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Objective: To identify whether red blood cell distribution width coefficient of variation (RDW-CV) and mean platelet volume (MPV) levels can predict clomiphene citrate resistance (CC-R) in infertile, anovulatory females with polycystic ovarian syndrome (PCOS). Methods: A total of 89 infertile patients who were admitted to a tertiary center diagnosed with non-obese PCOS were included in this study. The patients were divided into two groups: the first group comprised 53 non-obese patients with PCOS and CC-R, and the second group included 36 non-obese patients with PCOS and CC-S. RDW-CV, RDW-SD, and MPV values, along with routine whole blood count parameters were compared between the groups. Results: RDW-CV values were found to be significantly higher in the patients with CC-R compared to those with CC-S (P < 0.05). The sensitivity, specificity, positive, and negative predictive values were found to be 69%, 58.1%, 34.5%, and 12.5%, respectively, at an RDW-CV level of 12.85. The odds ratio was calculated as 3.077 (95% CI 1.245–7.603) in terms of the cut-off point. Conclusion: We think that RDW-CV which is a marker of inflammation is a simple, cheap, and accessible marker for the prediction of CC resistance.


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