Predictivity of inflammatory cell counts in early diagnosis of hydatidiform mole

Authors

  • Hüseyin Avni Eroğlu Department of Physiology, Çanakkale Onsekiz Mart University, Çanakkale, Turkey
  • Yasemen Adalı Department of Pathology, Çanakkale Onsekiz Mart University, Çanakkale, Turkey

DOI:

https://doi.org/10.18203/2320-6012.ijrms20190335

Keywords:

Hydatidiform mole, Inflammatory cell, Lymphocyte, Molar pregnancy, Neutrophil

Abstract

Background: Hydatidiform mole (HM) is the most frequently encountered disease among gestational trophoblastic diseases. HM can invade myometrium and result in hysterectomy and because of the absence of any predictive method, the disease  can  be lately diagnosed in the periphery. Author aimed to evaluate predictive value of  the inflammatory cell counts in molar pregnancies in this study.

Methods: Nineteen (19) cases with histopathologic HM diagnosis and 19 cases of control group with pregnancy termination or abortion material reached to a university hospital's pathology department on the same day were included in the study. The data on the same day or the day before the operation was used as the hemogram data.

Results: The mean age of the cases were 33.84±8.477. The mean of neutrophil, lymphocyte, monocyte, basophil and eosinophil numbers of the HM group and control group were compared in the 95% confidence interval with the independent t test. No statistical significance was observed in any of the inflammatory cell means  (p>0.05). The ratio of lymphocyte means was statistically significant (p=0.006).

Conclusions: In this study, author assessed whether the inflammatory cell counts were a predictive in detecting HM. The statistically significant results that author founded in the means of lymphocyte, suggests that this finding may be predictive of early diagnosis. They concluded that this result can be routinely used after the confirmation of the results in larger series of cases.

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Published

2019-01-25

How to Cite

Eroğlu, H. A., & Adalı, Y. (2019). Predictivity of inflammatory cell counts in early diagnosis of hydatidiform mole. International Journal of Research in Medical Sciences, 7(2), 363–366. https://doi.org/10.18203/2320-6012.ijrms20190335

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Original Research Articles