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

Author:

Hantoushzadeh Sedigheh1,Poorabdoli Marzie2,Parsaei Mohammadamin3ORCID,Zargarzadeh Nikan4,Masoumi Masoumeh1,Khotbesara Saeedeh Eslami1,Tarafdari Azadeh2ORCID

Affiliation:

1. Vali‐e‐Asr Reproductive Health Research Center Family Health Research Institute Imam Khomeini Hospital Complex Tehran University of Medical Sciences Tehran Iran

2. Department of Obstetrics and Gynecology Family Health Research Institute Imam Khomeini Hospital Complex Tehran University of Medical Sciences Tehran Iran

3. Maternal, Fetal & Neonatal Research Center Family Health Research Institute Tehran University of Medical Sciences Tehran Iran

4. Maternal Fetal Care Center Boston Children's Hospital Harvard Medical School Boston USA

Abstract

ABSTRACTProblemAchieving 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 StudyInflammatory 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.ResultsLower 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.ConclusionsNLR emerged as a robust independent predictor of pregnancy attainment after IVF.

Publisher

Wiley

Reference23 articles.

1. Impact of Various Parameters as Predictors of the Success Rate of In Vitro Fertilization;Dabbagh Rezaeiyeh R.;International Journal of Fertility and Sterility,2022

2. Predictive factors in in vitro fertilization (IVF): a systematic review and meta-analysis

3. Perinatal outcome of children born after frozen and fresh embryo transfer: the Finnish cohort study 1995–2006

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