Interventions to prevent miscarriage

Clinical predictive value of pre-pregnancy tests for unexplained recurrent spontaneous abortion: a retrospective study

Introduction

Early prediction and intervention are crucial for the prognosis of unexplained recurrent spontaneous abortion (uRSA). The main purpose of this study is to establish a risk prediction model for uRSA based on routine pre-pregnancy tests, in order to provide clinical physicians with indications of whether the patients are at high risk.

Methods

This was a retrospective study conducted at the Prenatal Diagnosis Center of Henan Provincial People's Hospital between January 2019 and December 2022. Twelve routine pre-pregnancy tests and four basic personal information characteristics were collected. Pre-pregnancy tests include thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine thyroid (FT4), thyroxine (TT4), total triiodothyronine (TT3), peroxidase antibody (TPO-Ab), thyroid globulin antibody (TG-Ab), 25-hydroxyvitamin D [25-(OH) D], ferritin (Ferr), Homocysteine (Hcy), vitamin B12 (VitB12), folic acid (FA). Basic personal information characteristics include age, body mass index (BMI), smoking history and drinking history. Logistic regression analysis was used to establish a risk prediction model, and receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were employed to evaluate the performance of prediction model.

Results

A total of 140 patients in uRSA group and 152 women in the control group were randomly split into a training set (n = 186) and a testing set (n = 106). Chi-square test results for each single characteristic indicated that, FT3 (p = 0.018), FT4 (p = 0.048), 25-(OH) D (p = 0.013) and FA (p = 0.044) were closely related to RSA. TG-Ab and TPO-Ab were also important characteristics according to clinical experience, so we established a risk prediction model for RSA based on the above six characteristics using logistic regression analysis. The prediction accuracy of the model on the testing set was 74.53%, and the area under ROC curve was 0.710. DCA curve indicated that the model had good clinical value.

Conclusion

Pre-pregnancy tests such as FT3, FT4, TG-Ab, 25-(OH)D and FA were closely related to uRSA. This study successfully established a risk prediction model for RSA based on routine pre-pregnancy tests.

The predictive value of ultrasound markers for pregnancy outcomes in recurrent pregnancy loss: a retrospective study

Establishing prediction models of pregnancy outcomes for recurrent pregnancy loss women at specific gestational weeks will provide patients and physicians with more precise information, ultimately leading to time and cost savings associated with unnecessary revisits. Therefore, our aim was to develop a prediction model for first trimester pregnancy loss in RPL patients. We used ultrasound indices during the first trimester of pregnancy in combination with demographic characteristics and commonly used serum markers. The independent risk factors for each week were as follows: age and P in the fifth week; age, mGSD and CRL in the sixth week; age, hCG and CRL in the seventh week; CRL in the eighth week; mGSD and CRL in ninth week. The corresponding AUC was 0.671, 0.796, 0.872, 0.871, 0.813, respectively. There is a linear relationship between age and first trimester pregnancy loss. hCG < 69,636.6 mIU/ml was associated with a higher risk of pregnancy loss in the seventh gestation week. An mGSD < 18.3 mm, adjusted for age, BMI, and previous pregnancy loss in the sixth week, was linked to an increased risk of first trimester pregnancy loss. A small CRL measurement (less than 2.4 mm, 9.9 mm, 16.9 mm, and 18.6 mm) in the sixth, seventh, eighth and ninth week was closely correlated with higher risk of first trimester pregnancy loss. Furthermore, an mGSD < 33.3 mm and > 48.3 mm in ninth gestational week was associated with a higher risk of pregnancy loss. These models and thresholds may help physicians and patients make more informed decisions together. Further studies are needed to confirm the results.

The maternal drug exposure birth cohort (DEBC) in China

Drug exposure during pregnancy lacks global fetal safety data. The maternal drug exposure birth cohort (DEBC) study, a prospective longitudinal investigation, aims to explore the correlation of maternal drug exposure during pregnancy with pregnancy outcomes, and establish a human biospecimen biobank. Here we describe the process of establishing DEBC and show that the drug exposure rate in the first trimester of pregnant women in DEBC (n = 112,986) is 30.70%. Among the drugs used, dydrogesterone and progesterone have the highest exposure rates, which are 11.97% and 10.82%, respectively. The overall incidence of adverse pregnancy outcomes is 13.49%. Dydrogesterone exposure during the first trimester is correlated with higher incidences of stillbirth, preterm birth, low birth weight, and birth defects, along with a lower incidence of miscarriage/abortion. Due to the limitations of this cohort study, causative conclusions cannot be drawn. Further follow-up and in-depth data analysis are planned for future studies.

Improving access, understanding, and dignity during miscarriage recovery in British Columbia, Canada: A patient-oriented research study

BACKGROUND

Approximately 15%-25% of clinical pregnancies end in miscarriage, with more than 15,000 miscarriages occurring annually in British Columbia, Canada. Despite the significant rates of loss, research and health care services for pregnancy loss remain scarce in British Columbia.

OBJECTIVES

This study aimed to (1) aid miscarriage recovery through the identification and sharing of equitable pregnancy loss care practices and supports and (2) present policy recommendations to improve prenatal care guidelines and employment standards for pregnancy loss.

DESIGN

This research took a patient-oriented methodological approach alongside people with lived/living experience(s) of miscarriage recovery in British Columbia to evaluate access to health care during pregnancy loss, societal understanding of miscarriage, and treatment options that foreground dignity.

METHODS

The mixed-methods design of this research included policy research on prenatal care guidelines, policy research on provincial and territorial employment legislation for bereavement leave, semi-structured interviews (n = 27), and a discovery action dialogue (n = 4).

RESULTS

The findings of this research demonstrate the need for improved prenatal care guidelines for early pregnancy loss, follow-up care after a miscarriage, mental health screening and supports, and bereavement leave legislation.

CONCLUSION

This article includes recommendations to improve equitable access to pregnancy loss care, bereavement leave legislation, and future research in this area.