The Role of Inflammatory Hematological Markers in Predicting IVF Success

JBRA Assist Reprod. 2021 Feb 2;25(1):71-75. doi: 10.5935/1518-0557.20200050.

Abstract

Objective: To investigate the predictive role of inflammatory hematological markers on treatment success in in vitro fertilization (IVF) patients.

Methods: In this study, we analyzed the data from the patients who admitted to our IVF center, and we recorded demographic characteristics, medical histories, laboratory biomarkers, cycle characteristics, and IVF outcomes from the patients' files. We assessed the value of white blood cell (WBC) counts, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte (PLR), mean platelet volume (MPV) and platelet distribution width (PDW) of the patients from their complete blood count. We compared these values in terms of predicting positive HCG test after embryo transfer (ET).

Results: There were 132 patients, of which 63 (47.7%) were treated for male factor, 43 (32.6%) for unexplained infertility, 19 (14.4%) for diminished ovarian reserve, 5 (3.8%) for endometriosis and 2 (1.5%) for hypogonadotropic hypogonadism. After ovarian stimulation and oocyte retrieval, 115 patients underwent embryo transfer, and 28 patients had a positive HCG test (24.3%). The positive HCG group had a statistically lower PLR when compared to the HCG (-) group (p=0.02). In the ROC analysis, PLR was significant in predicting positive HCG (p=0.028). However, when we added other factors to the model, only age and MII oocyte count were successful in predicting pregnancy outcomes in a logistic regression analysis.

Conclusion: According our results, inflammatory hematological markers were not effective in predicting IVF success.

Keywords: in vitro fertilization; infertility; inflammatory hematologic markers; platelet/lymphocyte ratio.

MeSH terms

  • Biomarkers
  • Female
  • Fertilization in Vitro
  • Humans
  • Lymphocytes*
  • Male
  • Mean Platelet Volume*
  • Neutrophils
  • Pregnancy
  • Retrospective Studies

Substances

  • Biomarkers