Predictive value of thromboelastography parameters combined with antithrombin III and D-Dimer in patients with recurrent spontaneous abortion

A nomogram based on hematological parameters for prediction of spontaneous abortion risk in pregnancies

BACKGROUND

Pregnancy loss significantly affects physical and mental health. A nomogram for predicting spontaneous abortion risk was developed to improve pregnancy outcomes.

METHODS

A total of 1346 pregnant women were enrolled from The Third Affiliated Hospital of Wenzhou Medical University (May 2020 - May 2022). The training set included 941 participants, and the validation set had 405. Feature selection was optimized using a random forest model, and a predictive model was constructed via multivariable logistic regression. The nomogram's performance was assessed with receiver operator characteristic (ROC), Hosmer-Lemeshow test, calibration curve, and clinical impact curve (CIC). Discrimination and clinical utility were compared between the nomogram and its individual variables.

RESULTS

Antithrombin III (AT-III), homocysteine (Hcy), complement component 3 (C3), protein C (PC), and anti-β2 glycoprotein I antibody (anti-β2GP1) were identified as risk factors. The nomogram demonstrated satisfactory discrimination (Training AUC: 0.813, 95% CI: 0.790-0.842; Validation AUC: 0.792, 95% CI: 0.741-0.838). The Hosmer-Lemeshow test (P = 0.331) indicated a good fit, and the CIC showed clinical net benefit. The nomogram outperformed individual variables in discrimination (AUC: 0.804, 95% CI: 0.779-0.829).

CONCLUSION

The developed nomogram, incorporating AT-III, Hcy, C3, PC, and anti-β2GP1, aids clinicians in identifying pregnant women at high risk for spontaneous abortion.

Constructing a logistic regression-based prediction model for subsequent early pregnancy loss in women with pregnancy loss

OBJECTIVES

The aim of this study is to construct a nomogram for predicting subsequent early pregnancy loss in women with a history of pregnancy loss, which may increase well-being and the capacity for managing reproductive options.

MATERIALS AND METHODS

We conducted a retrospective analysis of medical records from women with a history of pregnancy loss at the Reproductive Medicine Center of Lanzhou University Second Hospital between January 2019 and December 2022. A cohort of 718 patients was selected for the study. We structured our data into a training set of 575 cases (80% of the cohort) and a test set of 143 cases (20%). To identify significant predictors, we applied a stepwise forward algorithm guided by the Akaike Information Criterion (AIC) to the training set. Model validation was conducted using the test set. For the validation process, we employed various methods to assess the predictive power and accuracy of the model. Receiver Operating Characteristic (ROC) curves provided insights into the model's ability to distinguish between outcomes effectively. Calibration curves assessed the accuracy of the probability predictions against actual outcomes. The clinical utility of the model was further evaluated through Decision Curve Analysis, which quantified the net benefits at various threshold probabilities. In addition, a nomogram was developed to visually represent the risk factors.

RESULTS

Among the 36 candidate variables initially considered, 10 key predictors were identified through logistic regression analysis and incorporated into the nomogram. These selected variables include age, education, thrombin time (TT), antithrombin III (AT-III), D-dimer levels, 25-hydroxy Vitamin D, immunoglobulin G(IgG), complement components C4, anti-cardiolipin antibody (ACA) and lupus anticoagulant (LA). In addition, based on clinical experience, the number of previous pregnancy losses was also included as a predictive variable. The prediction model revealed an area under the curve (AUC) of approximately 0.717 for the training set and 0.725 for the validation set. Calibration analysis indicated satisfactory goodness-of-fit, with a Hosmer-Lemeshow test yielding a χ2 value of 7.78 (p = 0.55). Decision curve analysis confirmed the clinical utility of the nomogram. Internal validation confirmed the robust performance of the predictive model.

CONCLUSIONS

The constructed nomogram provides a valuable tool for predicting subsequent early pregnancy loss in women with a history of pregnancy loss. This nomogram can assist clinicians and patients in making informed decisions regarding the management of pregnancy and improving clinical outcomes.

TRIAL REGISTRATION

This study was registered in the Chinese Clinical Trial Registry under the registration number ChiCTR2000039414 on October 27, 2020. The registration was done retrospectively.

"Unraveling the Clot-Miscarriage Nexus: Mechanisms, Management, and Future Directions in Thrombosis-Related Recurrent Pregnancy Loss"

Recurrent spontaneous abortion (RSA) is a multifactorial condition influenced by genetic, hormonal, immunological, and anatomical factors. Thrombophilia, characterized by a heightened propensity for blood clotting, is a significant contributor to RSA. This review examines the mechanisms connecting thrombosis and RSA, focusing on hypercoagulable states, placental thrombosis, inflammation, and endothelial dysfunction. Genetic and acquired thrombophilic factors, such as factor V Leiden mutation, prothrombin gene mutation, protein C and S deficiencies, antithrombin III deficiency, antiphospholipid syndrome, and hyperhomocysteinemia, are discussed in detail. The diagnosis of thrombophilia in RSA entails a comprehensive clinical evaluation, including the assessment of physical examination, medical history and laboratory investigations, although there is still debate over the need for universal screening. Therapeutic strategies, including anticoagulant and antiplatelet therapies, as well as lifestyle modifications, are tailored to individual risk factors and disease severity. Although anticoagulant therapy demonstrates potential in lowering the risk of miscarriage, additional research is necessary to refine treatment protocols and assess long-term outcomes. This review highlights the need for a nuanced approach to managing thrombophilia-associated RSA, balancing diagnostic precision with therapeutic efficacy to improve reproductive outcomes.

A new prognostic model for recurrent pregnancy loss: assessment of thyroid and thromboelastograph parameters

Objective

This study aimed to identify predictors associated with thyroid function and thromboelastograph (TEG) examination parameters and establish a nomogram for predicting the risk of subsequent pregnancy loss in recurrent pregnancy loss (RPL).

Methods

In this retrospective study, we analyzed the medical records of 575 RPL patients treated at Lanzhou University Second Hospital, China, between September 2020 and December 2022, as a training cohort. We also included 272 RPL patients from Ruian People's Hospital between January 2020 and July 2022 as external validation cohort. Predictors included pre-pregnancy thyroid function and TEG examination parameters. The study outcome was pregnancy loss before 24 weeks of gestation. Variable selection was performed using least absolute shrinkage and selection operator regression and stepwise regression analyses, and the prediction model was developed using multivariable logistic regression. The study evaluated the model's performance using the area under the curve (AUC), calibration curve, and decision curve analysis. Additionally, dynamic and static nomograms were constructed to provide a visual representation of the models.

Results

The predictors used to develop the model were body mass index, previous pregnancy losses, triiodothyronine, free thyroxine, thyroid stimulating hormone, lysis at 30 minutes, and estimated percent lysis which were determined by the multivariable logistic regression with the minimum Akaike information criterion of 605.1. The model demonstrated good discrimination with an AUC of 0.767 (95%CI 0.725-0.808), and the Hosmer-Lemeshow test indicated good fitness of the predicting variables with a P value of 0.491. Identically, external validation confirmed that the model exhibited good performance with an AUC of 0.738. Moreover, the clinical decision curve showed a positive net benefit in the prediction model. Meanwhile, the web version we created was easy to use. The risk stratification indicated that high-risk patients with a risk score >147.9 had a higher chance of pregnancy loss (OR=6.05, 95%CI 4.09-8.97).

Conclusions

This nomogram well-predicted the risk of future pregnancy loss in RPL and can be used by clinicians to identify high-risk patients and provide a reference for pregnancy management of RPL.

Recurrent Miscarriage: Diagnostic and Therapeutic Procedures. Guideline of the DGGG, OEGGG and SGGG (S2k-Level, AWMF Registry No. 015/050, May 2022)

Purpose The aim of this guideline is to standardize the diagnosis and therapy of recurrent miscarriage (RM) using evidence from the recent literature. This is done by using consistent definitions, objective evaluations and standardized treatment protocols.

Methods When this guideline was compiled, special consideration was given to previous recommendations in prior versions of this guideline and the recommendations of the European Society of Human Reproduction and Embryology, the Royal College of Obstetricians and Gynecologists, the American College of Obstetricians and Gynecologists and the American Society for Reproductive Medicine, and a detailed individual search of the literature about the different topics was carried out.

Recommendations Recommendations about the diagnostic and therapeutic procedures offered to couples with RM were developed based on the international literature. Special attention was paid to known risk factors such as chromosomal, anatomical, endocrinological, physiological coagulation, psychological, infectious and immune disorders. Recommendations were also developed for those cases where investigations are unable to find any abnormality (idiopathic RM).

Extensive serum biomarker analysis in the prethrombotic state of recurrent spontaneous abortion

The prethrombotic state (PTS) is a possible cause of recurrent spontaneous abortion (RSA). The aim of this study was to identify serum biomarkers for the detection of RSA with PTS (PSRSA). A Quantibody array 440 was used to screen novel serum‐based biomarkers for PSRSA/NRSA (RSA without PTS). Proteins differentially expressed in PSRSA were analysed using bioinformatics methods and subjected to a customized array and enzyme‐linked immunosorbent assay (ELISA) validation. We used receiver operating characteristic to calculate diagnostic accuracy, and machine learning methods to establish a biomarker model for evaluation of the identified targets. 20 targets were selected for validation using a customized array, and seven targets via ELISA. The decision tree model showed that IL‐24 was the first node and eotaxin‐3 was the second node distinguishing the PSRSA and NRSA groups (an accuracy rate of 100% and an AUC of 1). Epidermal growth factor (EGF) as the node distinguished the PSRSA and NC groups (an accuracy rate of 100% and an AUC of 1). EGF as the node distinguished the NRSA and NC groups (an accuracy rate of 96.5% and an AUC of 0.998). Serum DNAM‐1, BAFF, CNTF, LAG‐3, IL‐24, Eotaxin‐3 and EGF represent a panel of promising diagnostic biomarkers to detect the PSRSA.

Proteomic Analysis of Differentially Expressed Proteins in the Placenta of Anticardiolipin Antibody- (ACA-) Positive Pregnant Mice after Anzi Heji Treatment

Anzi Heji (AZHJ) has been used to treat anticardiolipin antibody- (ACA-) positive pregnant women at risk of spontaneous abortion for many years. The aim of this study was to investigate the protective mechanism of AZHJ in a mouse model of ACA-positive pregnancy at risk of spontaneous abortion using label-free quantitative proteomics. Mice were divided into three groups: normal pregnant mice (control group), ACA-positive pregnant mice administered normal saline (model group), and ACA-positive pregnant mice administered AZHJ (AZHJ group). The model was established by injecting β2-glycoprotein I (GPI) into mice for 18 days. The DEPs and their functions were analyzed by label-free quantitative proteomic and bioinformatic analyses. The levels of IL-6, IL-10, ACA, and TNF-α in the serum and placentas of the mice were measured by enzyme-linked immunosorbent assays (ELISAs). Proteomic data were validated by western blot analysis. The abnormal serum and placental levels of IL-6, ACA, and TNF-α in the model group were reversed by AZHJ. There were 39 upregulated and 10 downregulated DEPs in the AZHJ group relative to the model group. Bioinformatic analysis revealed that the DEPs were mainly involved in nucleic acid binding, signal conduction, and posttranslational modification. The placental levels of T-cell immunoglobulin mucin 3 (Tim-3) and Toll-like receptor 4 (TLR4) expression and AKT phosphorylation in the three groups were consistent with the proteomic findings. Tim-3/AKT signaling is involved in maternal-fetal immune tolerance, while TLR4 is associated with inflammatory responses. Collectively, these results indicate that AZHJ may exert its protective effect in ACA-positive pregnant mice by regulating the maternal-fetal immune tolerance and inflammatory response.

The Efficacy of Traditional Chinese Medicine Shoutai Pill Combined with Western Medicine in the First Trimester of Pregnancy in Women with Unexplained Recurrent Spontaneous Abortion: A Systematic Review and Meta-Analysis

Background

Shoutai Pill (STP), a famous classic herbal formula documented in traditional Chinese medicine (TCM), is widely available in China for treating unexplained recurrent spontaneous abortion (URSA). This systematic review and meta-analysis aims at evaluating the efficacy and safety of STP in the first trimester of pregnancy in women with a history of unexplained recurrent spontaneous abortion.

Methods

The following eight databases were searched from their establishment to Dec 31, 2019, for randomized controlled trials (RCTs): PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), the Chinese BioMedical database (CBM), Chinese Scientific Journal Database (VIP), and the Wanfang database. The quality of evidence was estimated by the Grading of Recommendations Assessment, Development, and Evaluation (GRADE).

Results

A total of 12 studies (916 patients) with URSA were contained in this meta-analysis. The forest plot showed that patients treated with Shoutai Pill and western medicine had a significantly lower incidence of early pregnancy loss (RR: 0.42; 95% CI: 0.34–0.52; P < 0.01, I² = 0%). Subgroup analysis revealed that different types of TCM syndrome differentiation had the similar results. Also, in the combined group, patients had a lower TCM syndromes and symptoms and serum D-dimer level, while higher incidence of live birth.

Conclusions

Our findings suggest that cotreatment with STP and western medicine might be superior to western medicine alone in the first trimester of pregnancy to prevent miscarriage in women with unexplained recurrent spontaneous abortion, and there was no adverse event in the experimental group reported. However, the methodological quality of included RCTs was unsatisfactory; it is necessary to verify its effectiveness with further more standardized researches of rigorous design.