Free Beta-human Chorionic Gonadotropin Research Articles

The Association and diagnostic value between Maternal Serum Placental Markers and Placenta Previa

ObjectiveThis study aims to evaluate the correlation and diagnostic value of maternal serum placental markers: pregnancy-associated plasma protein-A (PAPP-A), free beta human chorionic gonadotropin (free β-hCG), and alpha fetoprotein (AFP) in relation to placenta previa. MethodsA retrospective case-control study was conducted to gather data on 137 pregnant women who were hospitalized for delivery at Hangzhou Obstetrics and Gynecology Hospital. These women participated in the late stage of early and mid-term maternal serum prenatal screening between January 2018 and December 2020. Of the 137 women, 45 were diagnosed with placenta previa, while 92 were selected at random as the control group, in a ratio of 1:2. Independent samples t-test or Mann-Whitney U test were utilized to compare the quantitative data of the two groups, and the Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic value of maternal serum placental marker levels for placenta previa. ResultsThe levels of first trimester and second trimester free beta subunit of human chorionic gonadotropin (FT-Free β-hCG; ST-Free β-hCG) in the placenta previa group were higher than those in the normal group [1.38 (0.55-6.03) MoM vs.1.08 (0.32-4.00) MoM, 1.38 (0.39-4.10) MoM vs.1.01 (0.29-4.12) MoM], and the differences between the groups were statistically significant (Z = 2.830, Z = 2.846, both P < 0.05). The AFP level was higher than the normal group [1.13 (0.65-2.15) MoM vs. 0.94 (0.51-2.02) MoM], and the difference was statistically significant (Z = 2.551, P < 0.05). There was no significant difference in PAPP-A between the placenta previa group and the normal group (Z = 1.396, P > 0.05). The ROC curve analysis results showed that the AUCs of FT-Free β-hCG and ST-Free β-hCG for placenta previa were 0.649 (95% CI: 0.551-0.747, P=0.005), 0.634 (95% CI: 0.539-0.730, P=0.011), and 0.650 (95% CI: 0.554-0.746, P=0.004). Using PPV, NPV, FPR, FNR, +LR, and -LR as evaluation indicators for the 5 models, the results showed that FT-Free β-hCG was the best performer in terms of PPV, FPR, and +LR, with values of 0.725, 0.600, and 2.632, respectively. The three-indicator combined detection model (AFP + ST-Free β-hCG + FT-Free β-hCG) had the best performance in terms of NPV and -LR, with values of 0.770 and 0.298, respectively. ConclusionThe elevated maternal serum levels of Free β-hCG and AFP may be associated with placenta previa. The combined detection of maternal serum markers in the early and mid-trimesters has better diagnostic value for predicting placenta previa than individual detection.

First trimester maternal serum PAPP-A and free β-hCG levels and risk of SGA or LGA in women with and without GDM

BackgroundMaternal gestational diabetes (GDM), small (SGA) and large (LGA) for gestational age neonates are associated with increased morbidity in both mother and child. We studied how different levels of first trimester pregnancy associated plasma protein-A (PAPP-A) and free beta human chorionic gonadotropin (fβ-hCG) were associated with SGA and LGA in GDM pregnancies and controls.MethodsAltogether 23 482 women with singleton pregnancies participated in first trimester combined screening and delivered between 2014 and 2018 in Northern Finland and were included in this retrospective case-control study. Women with GDM (n = 4697) and controls without GDM (n = 18 492) were divided into groups below 5th and 10th or above 90th and 95th percentile (pc) PAPP-A and fβ-hCG MoM levels. SGA was defined as a birthweight more than two standard deviations (SD) below and LGA more than two SDs above the sex-specific and gestational age-specific reference mean. Odds ratios were adjusted (aOR) for maternal age, BMI, ethnicity, IVF/ICSI, parity and smoking.ResultsIn pregnancies with GDM the proportion of SGA was 2.6% and LGA 4.5%, compared to 3.3% (p = 0.011) and 1.8% (p < 0.001) in the control group, respectively. In ≤ 5th and ≤ 10th pc PAPP-A groups, aORs for SGA were 2.7 (95% CI 1.5–4.7) and 2.2 (95% CI 1.4–3.5) in the GDM group and 3.8 (95% CI 3.0–4.9) and 2.8 (95% CI 2.3–3.5) in the reference group, respectively. When considering LGA, there was no difference in aORs in any high PAPP-A groups. In the low ≤ 5 percentile fβ-hCG MoM group, aORs for SGA was 2.3 (95% CI 1.8–3.1) in the control group. In fβ-hCG groups with GDM there was no association with SGA and the only significant difference was ≥ 90 percentile group, aOR 1.6 (95% CI 1.1–2.5) for LGA.ConclusionAssociation with low PAPP-A and SGA seems to be present despite GDM status. High PAPP-A levels are not associated with increased LGA risk in women with or without GDM. Low fβ-hCG levels are associated with SGA only in non-GDM pregnancies.

Correlation between maternal serum biomarkers and the risk of fetal chromosome copy number variants: a single-center retrospective study.

To explore the association between the concentration of maternal serum biomarkers and the risk of fetal carrying chromosome copy number variants (CNVs). Pregnant women identified as high risk in the second-trimester serological triple screening and underwent traditional amniotic fluid karyotype analysis, along with comparative genomic hybridization array (aCGH)/copy number variation sequencing (CNV-seq), were included in the study. We divided the concentration of serum biomarkers, free beta-human chorionic gonadotropin (fβ-hCG), alpha fetoprotein (AFP) and unconjugated estriol (uE3), into three levels: abnormally low, normal and abnormally high. The prevalence of abnormally low, normal and abnormally high serum fβ-hCG, AFP and uE3 levels in pregnant women with aberrant aCGH/CNV-seq results and normal controls was calculated. Among the 2877 cases with high risk in the second-trimester serological triple screening, there were 98 chromosome abnormalities revealed by karyotype analysis, while 209 abnormalities were detected by aCGH/CNVseq (P＜0.001) . The carrying rate of aberrant CNVs increased significantly when the maternal serum uE3 level was less than 0.4 multiple of median (MoM) of corresponding gestational weeks compared to normal controls, while the carrying rate of aberrant CNVs decreased significantly when the maternal serum fβ-hCG level was greater than 2.5 MoM compared to normal controls. No significant difference was found in the AFP group. Low serum uE3 level (<0.4 MoM) was associated with an increased risk of aberrant CNVs.

Evaluating the predictive efficacy of first trimester biochemical markers (PAPP-A, fβ-hCG) in forecasting preterm delivery incidences

In this investigation, we explored the correlation between first-trimester biochemical markers and the incidence of preterm birth (PTB), irrespective of the cause, spontaneous preterm birth (sPTB), and preterm premature rupture of membranes (pPROM) within a cohort comprising 1164 patients. It was discovered that diminished levels of Pregnancy-Associated Plasma Protein-A (PAPP-A) between 11 and 13 + 6 weeks of gestation significantly contributed to the risk of preterm deliveries both before 35 and 37 weeks, as well as to pPROM instances. Furthermore, women experiencing sPTB before the 37th week of gestation also exhibited lower concentrations of PAPP-A. Moreover, reduced first-trimester concentrations of free beta-human chorionic gonadotropin (fb-HCG) were identified as a risk factor for deliveries preceding 37 weeks, pPROM, and sPTB before 35 weeks of gestation. Despite these correlations, the area under the curve for these biochemical markers did not surpass 0.7, indicating their limited diagnostic potential. The most significant discriminatory capability was noted for PAPP-A levels, with a threshold of < 0.71 multiples of the median (MoM) predicting PTB before 37 weeks, yielding an odds ratio of 3.11 (95% Confidence Interval [CI] 1.97–4.92). For sPTB, the greatest discriminatory potential was observed for PAPP-A < 0.688, providing an OR of 2.66 (95% CI 1.51–4.66). The cut-off points corresponded to accuracies of 76.05% and 79.1%, respectively. In regression analyses, the combined predictive models exhibited low explanatory power with R2 values of 9.2% for PTB and 7.7% for sPTB below 35 weeks of gestation. In conclusion, while certain biochemical markers demonstrated associations with outcomes of preterm birth, their individual and collective predictive efficacies for foreseeing such events were found to be suboptimal.

Clinical value of prenatal screening markers in early pregnancy combined with perinatal characteristics to predict fetal growth restriction.

Due to the incomplete standardization of the etiology and diagnostic criteria for fetal growth restriction (FGR), there has been uncertainty in the early prediction of FGR. The comprehensive estimation of FGR was mainly based on various factors, such as maternal characteristics and medical history, nuchal translucency (NT), and serum biochemical markers [pregnancy-associated plasma protein-A (PAPP-A) and free beta human chorionic gonadotropin (free β-hCG)]. Herein, we performed a retrospective cohort study to investigate the correlation and diagnostic value of maternal markers such as PAPP-A, free β-hCG, and NT in the first trimester with maternal characteristics, so as to provide theoretical basis for perinatal care and the application of low-dose aspirin. A retrospective cohort study was conducted to analyze the data of an FGR group and a non-FGR group. Chi-square test and Mann-Whitney U test were used for univariate analysis of qualitative or quantitative data, respectively. Modified Poisson regression calculated the relative risk (RR) and 95% confidence interval (CI) of perinatal variables; P<0.05 was considered statistically significant. The multiple of median (MoM) of PAPP-A level and NT in the FGR group were lower than those of the non-FGR group [0.63 (0.12-2.08) vs. 1.01 (0.28-2.41) MoM, 1.30 (0.80-2.07) vs. 1.40 (0.80-2.20) cm, P<0.05]. The weight, score, and length of newborns in the FGR group were lower than those in the non-FGR group (all P<0.001). Modified Poisson regression analysis showed that gestational hypertension (GH) [RR =1.836 (95% CI: 1.188-2.836)], oligohydramnios [1.420 (95% CI: 1.022-1.973)], premature rupture of membranes (PROM) [0.641 (95% CI: 0.425-0.969)], female infant [1.539 (95% CI: 1.098-2.157)], low infant length [5.700 (95% CI: 3.416-9.509)], low birth weight [1.609 (95% CI: 1.012-2.559), and increased PAPP-A MoM [0.533 (95% CI: 0.369-0.769)] were associated with FGR. The cut-off value of PAPP-A + free β-hCG + NT for predicting FGR was 0.190, with a sensitivity of 0.547 and a specificity of 0.778. Early screening markers combined with perinatal characteristics have better diagnostic value in predicting FGR and provide a scientific basis for the clinical use of low-dose aspirin to prevent FGR.

Relationship between increased maternal serum free human chorionic gonadotropin levels in the second trimester and adverse pregnancy outcomes: a retrospective cohort study

BackgroundA retrospective cohort study was conducted to collect the data of pregnant women who received hospital delivery in Hangzhou Women's Hospital from January 2018 to December 2020, and who participated in the second trimester (15–20+6 weeks) of free beta human chorionic gonadotropin (free β-hCG). And the study was conducted to explore the relationship between maternal serum free β-hCG and adverse pregnancy outcomes (APO).MethodsWe retrospectively analyzed the clinical data of 1,978 women in the elevated maternal serum free β-hCG group (free β-hCG ≥ 2.50 multiples of the median, MoM) and 20,767 women in the normal group (0.25 MoM ≤ free β-hCG < 2.50 MoM) from a total of 22,745 singleton pregnancies, and modified Poisson regression analysis was used to calculate risk ratios (RRs) and 95% confidence intervals (CI) of the two groups.ResultsThe gravidity and parity in the elevated free β-hCG group were lower, and the differences between the groups were statistically significant (all, P < 0.05). The risks of polyhydramnios, preeclampsia, and hyperlipidemia, were increased in women with elevated free β-hCG levels (RRs: 1.996, 95% CI: 1.322–3.014; 1.469, 95% CI: 1.130–1.911 and 1.257, 95% CI: 1.029–1.535, respectively, all P < 0.05), intrauterine growth restriction (IUGR) and female infants were also likely to happen (RRs = 1.641, 95% CI: 1.103–2.443 and 1.101, 95% CI: 1.011–1.198, both P < 0.05). Additionally, there was an association between elevated AFP and free β-hCG levels in second-trimester (RR = 1.211, 95% CI: 1.121–1.307, P < 0.001).ConclusionsAPOs, such as polyhydramnios, preeclampsia, and hyperlipidemia, were increased risks of elevated free β-hCG levels, IUGR and female infants were also likely to happen. Furthermore, there was an association between elevated AFP levels and elevated free β-hCG levels in second-trimester. We recommend prenatal monitoring according to the elevated maternal serum free β-hCG level and the occurrence of APO.

Maternal thyroid function and free beta human chorionic gonadotrophin level in triploid pregnancies of paternal origin

Maternal thyroid function and free beta human chorionic gonadotrophin level in triploid pregnancies of paternal origin

SARS-CoV-2 Infection Increases High Risk Rate of Down Syndrome Screening Test by Reducing Alpha-Fetoprotein.

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been a significant global health issue in recent years. Numerous studies indicate that COVID-19 during pregnancy is associated with an increased likelihood of pregnancy complications. Additionally, pregnancy itself is known to elevate the risk of severe SARS-CoV-2 infection. To explore the potential impact of SARS-CoV-2 infection on the probability of Down syndrome in fetuses, we conducted serological testing of Down syndrome markers in pregnant women who had contracted the virus. Serological experiments were conducted utilizing a particle chemiluminescence test. The cohort of pregnant women was categorized into three groups: a control group with no infection, a group infected with SARS-CoV-2 Omicron within the first six weeks of gestation, and a group infected beyond the sixth week of gestation. In the group of individuals infected within 6 gestational weeks, the infection resulted in a decrease in alpha-fetoprotein (AFP) levels and a higher positive rate of Down syndrome screening tests (p ˂ 0.05). However, in this study, SARS-CoV-2 infection did not lead to an increase in the occurrence of Down syndrome in the fetus. The positive rate of women infected beyond 6 gestational weeks was slightly higher than the non-infected group (6.2% vs. 5.7%), but these differences were not statistically significant (p > 0.05). Within the group infected beyond 6 gestational weeks, there was, compared to the control group, a decrease in free beta human chorionic gonadotropin (β-hCG) levels (p < 0.05). This study presents a novel investigation into the impact of SARS-CoV-2 infection on AFP and β-hCG levels. It has been observed that pregnant women who contract SARS-CoV-2 may exhibit an increased likelihood of positive results in serum tests conducted for Down syndrome screening. However, it is important to note that the occurrence of Down syndrome in the developing fetus does not appear to be elevated. To validate these findings, additional research involving larger and diverse cohorts is necessary.

Associations between first-trimester screening biomarkers and maternal characteristics with gestational diabetes mellitus in Chinese women.

Gestational diabetes mellitus (GDM) can result in adverse maternal and neonatal outcomes. Predicting those at high risk of GDM and early interventions can reduce the development of GDM. The aim of this study was to examine the associations between first-trimester prenatal screening biomarkers and maternal characteristics in relation to GDM in Chinese women. We conducted a retrospective cohort study of singleton pregnant women who received first-trimester aneuploidy and preeclampsia screening between January 2019 and May 2021. First-trimester prenatal screening biomarkers, including pregnancy-associated plasma protein A (PAPP-A), free beta-human chorionic gonadotropin, and placental growth factor (PLGF), along with maternal characteristics, were collected for analysis in relation to GDM. Receiver operating characteristic (ROC) curve and logistic regression analyses were used to evaluate variables associated with GDM. Of the 1452 pregnant women enrolled, 96 developed GDM. PAPP-A (5.01 vs. 5.73 IU/L, P < 0.001) and PLGF (39.88 vs. 41.81 pg/mL, P = 0.044) were significantly lower in the GDM group than in the non-GDM group. The area under the ROC curve of combined maternal characteristics and biomarkers was 0.73 (95% confidence interval [CI] 0.68-0.79, P < 0.001). The formula for predicting GDM was as follows: P = 1/[1 + exp (-8.148 + 0.057 x age + 0.011 x pregestational body mass index + 1.752 x previous GDM history + 0.95 x previous preeclampsia history + 0.756 x family history of diabetes + 0.025 x chronic hypertension + 0.036 x mean arterial pressure - 0.09 x PAPP-A - 0.001 x PLGF)]. Logistic regression analysis revealed that higher pregestational body mass index (adjusted odds ratio [aOR] 1.03, 95% CI 1.01 - 1.06, P = 0.012), previous GDM history (aOR 9.97, 95% CI 3.92 - 25.37, P < 0.001), family history of diabetes (aOR 2.36, 95% CI 1.39 - 4.02, P = 0.001), higher mean arterial pressure (aOR 1.17, 95% CI 1.07 - 1.27, P < 0.001), and lower PAPP-A level (aOR 0.91, 95% CI 0.83 - 1.00, P= 0.040) were independently associated with the development of GDM. The Hosmer-Lemeshow test demonstrated that the model exhibited an excellent discrimination ability (chi-square = 3.089, df = 8, P = 0.929). Downregulation of first-trimester PAPP-A and PLGF was associated with the development of GDM. Combining first-trimester biomarkers with maternal characteristics could be valuable for predicting the risk of GDM.

The value of combined detailed first-trimester ultrasound–biochemical analysis for screening fetal aneuploidy in the era of non-invasive prenatal testing

PurposeThis study aimed to investigate the performance, cost-effectiveness and additional findings of combined detailed ultrasound and biochemical screening for risks of major fetal trisomies in the first-trimester.MethodsThis is a retrospective analysis study, we estimated the risk of trisomies 21, 18 and 13 based on maternal age, fetal nuchal translucency thickness, nasal bone, ductus venosus pulsatility index velocity, tricuspid regurgitation, fetal heart rate, free beta-human chorionic gonadotropin, and pregnancy-associated plasma protein A in singleton pregnant women, and performed non-invasive prenatal testing for women with risks of trisomy 21 between 1:500 and 1:300. Invasive diagnostic testing was performed for women with positive or failed non-invasive prenatal testing result and in the high-risk group of this screening method. The direct costs were compared between this strategy and the non-invasive prenatal testing which alone used as first-line screening for all pregnant women.ResultsAmong 25,155 singleton pregnant women who underwent screening, 24,361 were available for analysis, of these, 194 cases underwent non-invasive prenatal testing. Among the 24,361 women, 39, 19, and 7 had trisomies 21, 18 and 13, respectively. The use of this strategy could potentially detect approximately 94.87% of trisomy 21 cases, 100% of trisomy 18 cases, and 100% of trisomy 13 cases, with false-positive rates of 2.49%, 0.41%, and 0.49%, respectively. The overall detection rate and overall false-positive rates were 96.92% and 2.52%, respectively. The detection rate was 100% in the advanced age group and 94.12% in the general age group. Additionally, structural abnormalities were detected in 137 fetuses, and 44 fetuses had other chromosomal abnormalities. The total cost of this strategy was $3,730,843.30, and the cost per person tested was $153.15. The total cost of using non-invasive prenatal testing as the first-line strategy would be $6,813,387.04 and the cost per person tested was $279.68.ConclusionsOur strategy is an efficient and cost-effective approach for detecting major trisomies and identifying more fetuses with a potential abnormality. Therefore, this strategy is a valuable screening method and highly feasible in the clinical setting.

Multiple pregnancy with complete hydatidiform mole and coexisting normal fetus in a retrospective cohort of 141 patients

Multiple pregnancy with a complete hydatidiform mole and a normal fetus is prone to severe obstetrical complications and malignant transformation after birth. Prognostic information is limited for this rare form of gestational trophoblastic disease. This study aimed to determine obstetrical outcomes and the risk of gestational trophoblastic neoplasia in women with multiple pregnancy with complete hydatidiform mole and coexisting normal fetus, and to identify risk factors for poor obstetrical and oncological outcomes to improve patient information and management. This was a retrospective national cohort study of 11,411 records from the French National Center for Trophoblastic Disease registered between January 2001 and January2022. Among 11,411 molar pregnancies, 141 involved histologically confirmed multiple pregnancy with complete hydatidiform mole and coexisting normal fetus. Roughly a quarter of women (23%; 33/141) decided to terminate pregnancy because of presumed poor prognosis or by choice. Among the 77% of women (108/141) who continued their pregnancy, 16% of pregnancies (17/108) were terminated because of maternal complications, and 37% (40/108) ended in spontaneous miscarriage before 24 weeks' gestation. The median gestational age at delivery in the remaining 47% of pregnancies (51/108) was 32 weeks. The overall neonatal survival rate at day 8 was 36% (39/108; 95% confidence interval, 27-46) after excluding elective pregnancy terminations. Patients with free beta human chorionic gonadotropin levels <10 multiples of the median were significantly more likely to reach 24 weeks' gestation compared with those with free beta human chorionic gonadotropin levels >10 multiples of the median (odds ratio, 7.0; 95% confidence interval, 1.3-36.5; P=.022). A lower free beta human chorionic gonadotropin level was also associated with better early neonatal survival (the median free beta human chorionic gonadotropin level was 9.4 multiples of the median in patients whose child was alive at day 8 vs 20.0 multiples of the median in those whose child was deceased; P=.02). The overall rate of gestational trophoblastic neoplasia after a multiple pregnancy with complete hydatidiform mole and a normal fetus was 26% (35/136; 95% confidence interval, 19-34). All 35 patients had low-risk International Federation of Gynecology and Obstetrics scores, and the cure rate was 100%. Termination of pregnancy on patient request was not associated with lower risk of gestational trophoblastic neoplasia. Maternal complications such as preeclampsia and postpartum hemorrhage were not associated with higher risk of gestational trophoblastic neoplasia, and neither were high human chorionic gonadotropin levels or newborn survival at day8. Multiple pregnancy with complete hydatidiform mole and coexisting fetus carries a high risk of obstetrical complications. In patients who continued their pregnancy, approximately one-third of neonates were alive at day 8, and roughly 1 in 4 patients developed gestational trophoblastic neoplasia. Therefore, the risk of malignant transformation appears to be higher compared with singleton complete moles. Low levels of free beta human chorionic gonadotropin may be indicative of better early neonatal survival, and this relationship warrants further study.

Role of First Trimester Screening Biochemical Markers to Predict Hypertensive Pregnancy Disorders and SGA Neonates-A Narrative Review.

Early recognition of high-risk pregnancies through biochemical markers may promote antenatal surveillance, resulting in improved pregnancy outcomes. The goal of this study is to evaluate the possibilities of using biochemical markers during the first trimester of pregnancy in the prediction of hypertensive pregnancy disorders (HPD) and the delivery of small-for-gestational-age (SGA) neonates. A comprehensive search was conducted on key databases, including PubMed, Scopus, and Web of Science, for articles relating to the use of biochemical markers in the prediction of HPD and SGA. The findings show that changes in the levels of biomarkers in the early pregnancy phases could be an important indicator of adverse pregnancy outcomes. The literature shows that low PAPP-A (pregnancy-associated plasma protein A) and PlGF (placental growth factor) levels, low alkaline phosphatase (AP), higher sFlt-1 (soluble fms-like Tyrosine Kinase-1) levels, higher AFP (alfa fetoprotein) levels, and elevated levels of inflammatory markers such as β-HGC (free beta human chorionic gonadotropin), interferon-gamma (INF-γ), and tumor necrosis factor-α (TNF-α) may be associated with risks including the onset of HPD, fetal growth restriction (FGR), and delivery of SGA neonates. Comparatively, PAPP-A and PlGF appear to be the most important biochemical markers for the prediction of SGA and HPD.

Interpretable machine learning to predict adverse perinatal outcomes: examining marginal predictive value of risk factors during pregnancy

The timely identification of nulliparas at high risk of adverse fetal and neonatal outcomes during pregnancy is crucial for initiating clinical interventions to prevent perinatal complications. Although machine learning methods have been applied to predict preterm birth and other pregnancy complications, many models do not provide explanations of their predictions, limiting the clinical use of the model. This study aimed to develop interpretable prediction models for a composite adverse perinatal outcome (stillbirth, neonatal death, estimated Combined Apgar score of <10, or preterm birth) at different points in time during the pregnancy and to evaluate the marginal predictive value of individual predictors in the context of a machine learning model. This was a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be data, a prospective cohort study in which 10,038 nulliparous pregnant individuals with singleton pregnancies were enrolled. Here, interpretable prediction models were developed using L1-regularized logistic regression for adverse perinatal outcomes using data available at 3 study visits during the pregnancy (visit 1: 6 0/7 to 13 6/7 weeks of gestation; visit 2: 16 0/7 to 21 6/7 weeks of gestation; visit 3: 22 0/7 to 29 6/7 weeks of gestation). We identified the important predictors for each model using SHapley Additive exPlanations, a model-agnostic method of computing explanations of model predictions, and evaluated the marginal predictive value of each predictor using the DeLong test. Our interpretable machine learning model had an area under the receiver operating characteristic curves of 0.617 (95% confidence interval, 0.595-0.639; all predictor variables at visit 1), 0.652 (95% confidence interval, 0.631-0.673; all predictor variables at visit 2), and 0.673 (95% confidence interval, 0.651-0.694; all predictor variables at visit 3). For all visits, the placental biomarker inhibin A was a valuable predictor, as including inhibin A resulted in better performance in predicting adverse perinatal outcomes (P<.001, all visits). At visit 1, endoglin was also a valuable predictor (P<.001). At visit 2, free beta human chorionic gonadotropin (P=.001) and uterine artery pulsatility index (P=.023) were also valuable predictors. At visit 3, cervical length was also a valuable predictor (P<.001). Despite various advances in predictive modeling in obstetrics, the accurate prediction of adverse perinatal outcomes remains difficult. Interpretable machine learning can help clinicians understand how predictions are made, but barriers exist to the widespread clinical adoption of machine learning models for adverse perinatal outcomes. A better understanding of the evolution of risk factors for adverse perinatal outcomes throughout pregnancy is necessary for the development of effective interventions.

The Correlation between the First Trimester Combined Test Results and Thyroid Stimulating Hormone Levels as Well as Its Effect on Pregnancy Outcomes.

Determining the pregnancy outcomes with independent prognostic factors in the first trimester combined screening test and thyroid stimulating hormone (TSH) is a concern for practitioners. We aimed to evaluate the correlation between TSH and first trimester combined screening test levels and examine their effects on pregnancy outcomes in healthy pregnant women. A total of 349 pregnant women in Izmir Ataturk Training and Research Hospital, Turkey with normal TSH values in the first trimester between 2015 and 2020 were enrolled. Patients were divided into two groups as 274 and 75 patients according to TSH values with 2,5 as cut-off value; their birth weights and weeks were compared. Patients were also divided into three groups according to gestational weeks; their TSH values and combined tests were compared. When grouped based on the TSH threshold value (2.5uIU/ml), no significant relationship was found between the combined test parameters and TSH levels. In the combined test, after grouping according to the week of gestation, a negative correlation was observed between free beta-human chorionic gonadotropin (β-hCG) and TSH measured at 11 weeks (P=0.040, r=-0.189). A significant negative correlation was found between free β-hCG and newborn birth weight (P=0.032, r=-0.199), TSH and delivery time (P=0.011, r=-0.235). Free β-hCG and TSH levels could guide practitioners for birth weight and early delivery, respectively. Postponing the combined test for patients with elevated serum TSH levels to between the 12th and 13th weeks of gestation may reduce false positives.

The importance of the trisomy 21 local cutoff value evaluation for prenatal screening in the second trimester of pregnancy.

The aim of this work was to compare different local cutoff values (LCV) and inline cutoff values (ICV) in pregnant women in the secondtrimester at high risk for carrying fetuses with trisomy21. This retrospective cohort study analyzed prenatal screening outcomes in pregnant women (n=311,561). The receiver operating characteristic curve was used to evaluate the diagnostic significance of the trisomy 21 risk value, alpha-fetoprotein, and free beta human chorionic gonadotropin multiple of the median for predicting trisomy 21 risk. The cutoff value corresponding to the maximal Youden index was taken as the LCV. The screening efficiency of both cutoff values was compared. The LCV cutoff value was lower than the ICV cutoff value (1/643 vs 1/270). The sensitivity increased by 19.80%, the positive predictive value decreased by 0.20%, and the false-positive rate increased by 6.50%. The LCV should be used to determine trisomy 21 risk, which can increase the detection rate of trisomy 21 in the second trimester.

Fetal Growth Restriction Is Associated with Pregnancy Associated Plasma Protein A and Uterine Artery Doppler in First Trimester

Fetal growth restriction (FGR) is a major cause of stillbirth and poor neurodevelopmental outcomes. The early prediction may be important to establish treatment options and improve neonatal outcomes. The aim of this study was to assess the association of parameters used in first-trimester screening, uterine artery Doppler pulsatility index and the development of FGR. In this retrospective cohort study, 1930 singleton pregnancies prenatally diagnosed with an estimated fetal weight under the third percentile were included. All women underwent first-trimester screening assessing maternal serum pregnancy-associated plasma protein A (PAPP-A), free beta-human chorionic gonadotrophin levels, fetal nuchal translucency and uterine artery Doppler pulsatility index (PI). We constructed a Receiver Operating Characteristics curve to calculate the sensitivity and specificity of early diagnosis of FGR. In pregnancies with FGR, PAPP-A was significantly lower, and uterine artery Doppler pulsatility index was significantly higher compared with the normal birth weight group (0.79 ± 0.38 vs. 1.15 ± 0.59, p < 0.001 and 1.82 ± 0.7 vs. 1.55 ± 0.47, p = 0.01). Multivariate logistic regression analyses demonstrated that PAPP-A levels and uterine artery Doppler pulsatility index were significantly associated with FGR (p = 0.009 and p = 0.01, respectively). To conclude, these two parameters can predict FGR < 3rd percentile.

Combined first trimester screening for trisomy 21: Assessment of excess risk in case of free ß-human chorionic gonadotrophin between 5 and 10 multiples of the median.

The first trimester combined risk of trisomy 21 is obtained by multiplying the risk related to maternal age by the likelihood ratios of nuchal translucency, free beta-human chorionic gonadotrophin (β-hCG) and placenta associated plasma protein-A. Beyond five multiples of the median (MoM) of β-hCG, the risk of trisomy 21 is truncated. The objective of the present study was to evaluate the evolution of the first trimester combined risk of trisomy 21 in individuals with first-trimester free-β-hCG levels between 5 and 10 MoM. We conducted a non-interventional cohort study from a 6-year database of combined first-trimester trisomy 21 screening of all individuals who underwent the screening in a French specialized medical analysis center. We included all pregnant individuals who had a serum-free β-hCG between 5 and 10 MoM. Patients for whom the status of the fetus, with or without trisomy 21, was not identified by the outcome of the pregnancy or by a karyotype result were excluded from the study. The discriminatory capacity of free-β-hCG above 5 MoM was studied by a receiver operating characteristic curve. We used an orthogonal polynomial regression to represent the evolution of likelihood ratios according to free-β-hCG in MoM. Among 413 216 combined first-trimester screens of trisomy 21, 2239 (0.5%) screens met the inclusion criteria. In the selected population, 801 (35.8%) were excluded from the study because of missing fetal or neonatal status, and 46 (3.2%) fetuses out of 1438 included were diagnosed with trisomy 21. For free β-hCG values between 5 and 10 MoM, the area under the curve is 0.56 (0.46-0.65). The scatterplot of the likelihood ratio of β-hCG showed an increasing parabolic pattern: the likelihood of trisomy 21 increases with the free-β-hCG threshold. To override the truncated risk of trisomy 21 in case of free β-hCG values between 5 and 10 MoM, the study has allowed us to estimate the adjusted risk of trisomy 21, enabling health professionals to offer appropriate prenatal counseling.

The effects of dydrogesterone treatment on first-trimester aneuploidy screening markers and nuchal translucency in women with threatened miscarriage.

To evaluate the effects of dydrogesterone treatment on first-trimester aneuploidy screening markers and nuchal translucency (NT) in women with threatened miscarriage. This study is an prospective case-control study. One hundred seven pregnant women who applied for the first-trimester screening test at 11-14th weeks of gestation were included in the study. The study group consisted of 53 pregnant women using oral dydrogesterone due to the threat of miscarriage for at least 2 weeks and without vaginal bleeding for the last 72 h at the time of enrollment. The control group was composed of 54 healty pregnant women. Fetal Crown-rump length (CRL), NT, pregnancy-associated plasma protein-A (PAP-A) level, and free beta-human chorionic gonadotropin (free B-hCG) levels of the patients were measured. One hundred seven patients included in the study, 54 (50.46%) were in the control group, and 53 (49.54%) were in the study group using dydrogesterone. Age, body mass index, gravida, parity and abortion numbers, gestational weeks, and CRL values of the two groups were congruent. In the comparison-free B-hCG, PAPP-A and NT values of both groups, no statistically significant difference was found between the two groups in terms of first-trimester test results and NT (p<0.05). The use of dydrogesterone in first-trimester pregnancies does not affect first-trimester screening tests and nuchal translucency.

Correlation between elevated maternal serum alpha-fetoprotein and ischemic placental disease: a retrospective cohort study

ABSTRACT Background To evaluate the correlation between elevated maternal serum alpha-fetoprotein (AFP) in the second trimester and ischemic placental disease (IPD). Methods A retrospective cohort study was conducted to analyze the data of 22,574 pregnant women who delivered in the Department of Obstetrics at Hangzhou Women’s Hospital from 2018 to 2020, and were screened for maternal serum AFP and free beta-human chorionic gonadotropin (free β-hCG) in the second trimester. The pregnant women were divided into two groups: elevated maternal serum AFP group (n = 334, 1.48%); and normal group (n = 22,240, 98.52%). Mann-Whitney U-test or Chi-square test was used for continuous or categorical data. Modified Poisson regression analysis was used to calculate the relative risk (RR) and 95% confidence interval (CI) of the two groups. Results The AFP MoM and free β-hCG MoM in the elevated maternal serum AFP group were higher than the normal group (2.25 vs. 0.98, 1.38 vs. 1.04) and the differences were all statistically significant (all P < .001). Placenta previa, hepatitis B virus carrying status of pregnant women, premature rupture of membranes (PROM), advanced maternal age (≥35 years), increased free β-hCG MoM, female infants, and low birth weight (RR: 2.722, 2.247, 1.769, 1.766, 1.272, 0.624, 2.554 respectively) were the risk factors for adverse maternal pregnancy outcomes in the elevated maternal serum AFP group. Conclusions Maternal serum AFP levels during the second trimester can monitor IPD, such as IUGR, PROM, and placenta previa. Maternal women with high serum AFP levels are more likely to deliver male fetuses and low birth weight infants. Finally, the maternal age (≥35 years) and hepatitis B carriers also increased maternal serum AFP significantly.

First-Trimester Biochemical Serum Markers in Female Kidney Transplant Recipients-The Impact of Graft Function.

Data on serum biochemistry markers as a component of the first-trimester screening test in pregnant kidney graft recipients are limited. In the absence of a separate validated algorithm, biochemical testing is commonly used in the first-trimester screening in kidney transplant recipients. Therefore, the study aimed to analyze first-trimester serum biochemical markers and the first trimester combined screening results in pregnant kidney graft recipients. A retrospective study was carried out in pregnant women who underwent the first-trimester combined screening test performed per the Fetal Medicine Foundation (FMF) protocol in 2009−2020. The study group included 27 pregnancies in kidney graft transplant recipients, and the control group was 110 patients with normal kidney function, matched according to age, body mass index (BMI), and gestational age. The biochemical serum markers (free beta-human chorionic gonadotropin [beta-hCG] and pregnancy-associated plasma protein A [PAPP-A]) were evaluated using the FMF-approved Roche Elecsys® assay and exhibited as multiples of the median (MoM) values. Data on first-trimester screening test results, perinatal outcomes, and graft function (assessed using serum creatinine concentrations) were analyzed. The analysis of first-trimester screening parameters revealed no difference in nuchal translucency (NT) measurements and uterine artery flow. However, free beta-hCG MoM and PAPP-A values were higher in posttransplant pregnancies than in controls: 3.47 ± 2.08 vs. 1.38 ± 0.85 (p = 0.035) and 1.46 ± 0.81 vs. 0.98 ± 0.57 (p = 0.007), respectively. The false positive rate of trisomy 21 (T21) screening in graft recipients was 25.9% vs. 3% in the controls. The free β-hCG MoM values positively correlated with serum creatinine levels before (r = 0.653; p < 0.001), during (r = 0.619; p = 0.001), and after pregnancy (r = 0.697; p < 0.001). There was a statistically significant negative correlation for PAPP-A MoM values for postpartum serum creatinine concentration (r = −0.424, p = 0.035). Our results show significantly higher serum concentrations of free beta-hCG and PAPP-A in posttransplant pregnancies than in healthy controls, confirmed when exhibited as MoM values and their association with graft function was assessed by serum creatinine concentration. Taking those changes into account would reduce the high number of false positive test results in this group. The validated first-trimester screening algorithm that considers altered kidney function in pregnant kidney graft recipients remains to be developed.