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. 2024 Jul;92(1):e13900.
doi: 10.1111/aji.13900.

Predicting the Outcomes of In Vitro Fertilization Using Baseline Maternal Serum Inflammatory Markers: A Retrospective Cohort Study

Sedigheh Hantoushzadeh  1 , Marzie Poorabdoli  2 , Mohammadamin Parsaei  3 , Nikan Zargarzadeh  4 , Masoumeh Masoumi  1 , Saeedeh Eslami Khotbesara  1 , Azadeh Tarafdari  2
Affiliations

Predicting the Outcomes of In Vitro Fertilization Using Baseline Maternal Serum Inflammatory Markers: A Retrospective Cohort Study

Sedigheh Hantoushzadeh et al. Am J Reprod Immunol. 2024 Jul.

Abstract

Problem: Achieving pregnancy through in vitro fertilization (IVF) remains a challenge, with less than one-third of women succeeding. There is a pressing need for reliable predictive tools to assess the likelihood of post-IVF pregnancy. While some serum inflammatory biomarkers have been investigated for their predictive potential, substantial knowledge gaps persist. This study examined the utility of different inflammatory markers in predicting IVF outcomes.

Method of study: Inflammatory markers including the white blood cell count, neutrophil-to-lymphocyte ratio (NLR), platelet count, mean platelet volume, platelet distribution width, platelet-to-lymphocyte ratio (PLR), C-reactive protein (CRP), erythrocyte sedimentation rate, and vitamin D3 were assessed. Study outcomes were chemical pregnancy (positive serum beta-human chorionic gonadotropin 2 weeks post-embryo transfer), clinical pregnancy (detection of pregnancy sac via transvaginal ultrasonography), and viable pregnancy (detection of fetal heart rate). Univariate and multivariate logistic regression analyses were conducted, with multivariate analysis incorporating age, body mass index, infertility duration, type, and etiology, as well as all studied serum inflammatory markers, embryo count, stage, quality, and endometrial thickness.

Results: Lower NLR (p < 0.001, odds ratio [OR] = 0.372 [0.247-0.559]) and CRP (p = 0.035, odds ratio = 0.956 [0.916-0.997]) predicted chemical pregnancy in univariate analysis, with NLR maintaining significance in multivariate analysis (p = 0.022, OR = 0.319 [0.120-0.848]). Lower NLR (p < 0.001, OR = 0.309 [0.198-0.482]) and PLR (p = 0.013, OR = 0.994 [0.990-0.999]) predicted clinical pregnancy, with NLR surviving multivariate analysis (p = 0.005, OR = 0.217 [0.075-0.626]). Lower NLR (p < 0.001, OR = 0.320 [0.198-0.516]) also predicted viable pregnancy, maintaining statistical significance in multivariate analysis (p = 0.002, OR = 0.177 [0.058-0.541]). Other studied inflammatory markers did not predict IVF outcomes.

Conclusions: NLR emerged as a robust independent predictor of pregnancy attainment after IVF.

Keywords: embryo transfer; in vitro fertilization; lymphocytes; neutrophils; prediction.

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References

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