{"title":"利用基线母体血清炎症标志物预测体外受精的结果：一项回顾性队列研究","authors":"Sedigheh Hantoushzadeh, Marzie Poorabdoli, Mohammadamin Parsaei, Nikan Zargarzadeh, Masoumeh Masoumi, Saeedeh Eslami Khotbesara, Azadeh Tarafdari","doi":"10.1111/aji.13900","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Problem</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Method of Study</h3>\n \n <p>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 D<sub>3</sub> 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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Lower NLR (<i>p</i> < 0.001, odds ratio [OR] = 0.372 [0.247–0.559]) and CRP (<i>p</i> = 0.035, odds ratio = 0.956 [0.916–0.997]) predicted chemical pregnancy in univariate analysis, with NLR maintaining significance in multivariate analysis (<i>p</i> = 0.022, OR = 0.319 [0.120–0.848]). Lower NLR (<i>p</i> < 0.001, OR = 0.309 [0.198–0.482]) and PLR (<i>p</i> = 0.013, OR = 0.994 [0.990–0.999]) predicted clinical pregnancy, with NLR surviving multivariate analysis (<i>p</i> = 0.005, OR = 0.217 [0.075–0.626]). Lower NLR (<i>p</i> < 0.001, OR = 0.320 [0.198–0.516]) also predicted viable pregnancy, maintaining statistical significance in multivariate analysis (<i>p</i> = 0.002, OR = 0.177 [0.058–0.541]). Other studied inflammatory markers did not predict IVF outcomes.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>NLR emerged as a robust independent predictor of pregnancy attainment after IVF.</p>\n </section>\n </div>","PeriodicalId":7665,"journal":{"name":"American Journal of Reproductive Immunology","volume":"92 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the Outcomes of In Vitro Fertilization Using Baseline Maternal Serum Inflammatory Markers: A Retrospective Cohort Study\",\"authors\":\"Sedigheh Hantoushzadeh, Marzie Poorabdoli, Mohammadamin Parsaei, Nikan Zargarzadeh, Masoumeh Masoumi, Saeedeh Eslami Khotbesara, Azadeh Tarafdari\",\"doi\":\"10.1111/aji.13900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Problem</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Method of Study</h3>\\n \\n <p>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 D<sub>3</sub> 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Lower NLR (<i>p</i> < 0.001, odds ratio [OR] = 0.372 [0.247–0.559]) and CRP (<i>p</i> = 0.035, odds ratio = 0.956 [0.916–0.997]) predicted chemical pregnancy in univariate analysis, with NLR maintaining significance in multivariate analysis (<i>p</i> = 0.022, OR = 0.319 [0.120–0.848]). Lower NLR (<i>p</i> < 0.001, OR = 0.309 [0.198–0.482]) and PLR (<i>p</i> = 0.013, OR = 0.994 [0.990–0.999]) predicted clinical pregnancy, with NLR surviving multivariate analysis (<i>p</i> = 0.005, OR = 0.217 [0.075–0.626]). Lower NLR (<i>p</i> < 0.001, OR = 0.320 [0.198–0.516]) also predicted viable pregnancy, maintaining statistical significance in multivariate analysis (<i>p</i> = 0.002, OR = 0.177 [0.058–0.541]). Other studied inflammatory markers did not predict IVF outcomes.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>NLR emerged as a robust independent predictor of pregnancy attainment after IVF.</p>\\n </section>\\n </div>\",\"PeriodicalId\":7665,\"journal\":{\"name\":\"American Journal of Reproductive Immunology\",\"volume\":\"92 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Reproductive Immunology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/aji.13900\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMMUNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Reproductive Immunology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/aji.13900","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
Predicting the Outcomes of In Vitro Fertilization Using Baseline Maternal Serum Inflammatory Markers: A Retrospective Cohort Study
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.
期刊介绍：
The American Journal of Reproductive Immunology is an international journal devoted to the presentation of current information in all areas relating to Reproductive Immunology. The journal is directed toward both the basic scientist and the clinician, covering the whole process of reproduction as affected by immunological processes. The journal covers a variety of subspecialty topics, including fertility immunology, pregnancy immunology, immunogenetics, mucosal immunology, immunocontraception, endometriosis, abortion, tumor immunology of the reproductive tract, autoantibodies, infectious disease of the reproductive tract, and technical news.
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