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Inflammatory Markers in Women with Infertility: A Cross-Sectional Study
Yanan Duan1, Ye Zhou2, Yiqing Peng2
1Jining Medical University, Jining, Shandong Province, 272002, People's Republic of China.
Inflammation is linked to infertility. This study found a significant positive correlation between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in infertile women, suggesting potential biomarkers.
Area of Science:
- Reproductive Medicine
- Immunology
- Biomarker Discovery
Background:
- Infertility affects a significant portion of the population, with increasing evidence linking it to inflammatory processes.
- Inflammatory markers, such as neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), are emerging as potential indicators of various health conditions.
Purpose of the Study:
- To investigate the independent relationships between specific inflammatory markers and infertility in women.
- To explore the association of NLR and PLR with infertility in a large cohort of female patients.
Main Methods:
- A cross-sectional study involving 1028 infertile female patients hospitalized between January 2016 and December 2022.
- Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were measured as key inflammatory markers.
- Stratified analysis based on body mass index (BMI) was conducted, comparing low-BMI and high-BMI groups.
Main Results:
- Overweight infertile women exhibited significantly higher levels of white blood cell count, platelet count, lymphocyte count, neutrophil count, and NLR compared to normal-weight individuals.
- A significant positive correlation was observed between NLR and PLR in both univariate and multiple regression analyses.
- The overweight group showed noticeably higher levels of these inflammatory markers compared to the normal weight group.
Conclusions:
- A significant positive correlation exists between NLR and PLR in infertile women.
- These findings support the potential utility of NLR and PLR as biomarkers for infertility.
- The results may contribute to the development of novel prediction models for infertility.
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