SPONTANEOUS ABORTION is one of the most common and least understood pathological processes. Because it is so difficult to obtain reliable information about abortion, even the basic facts about its frequency, familial distribution, and relation to parity and parental age are largely unknown or disputable. Such information is needed to provide a basis for advising women with several abortions about their chances of successfully completing another pregnancy, to evaluate measures for the prevention of abortion, as well as to provide clues to the etiology of the condition. Reproductive histories taken by personal interview with a random series of women would probably be the best available data for estimating spontaneous abortion statistics. These would include very early terminations of pregnancy, recognized as spontaneous abortions by the women concerned but not receiving medical attention, which are under-represented in series of consecutive hospital admissions or in consecutive cases from private obstetrical practice. They would allow estimation of abortion risks in women with given numbers of previous abortions and at given ages. Some reservations must be held about the validity of self-diagnosis of early abortion, but this source of error should not affect comparisons within the sample.
spontaneous abortion risk factors parity maternal age, recurrent miscarriage reproductive history epidemiology, Fraser Warburton spontaneous abortion risk data, spontaneous abortion frequency population-based estimate, medical genetics reproductive history pregnancy outcomes, recurrent pregnancy loss prognosis subsequent pregnancy, early pregnancy loss self-reported abortion rates, spontaneous miscarriage familial distribution genetics, reproductive histories interview-based abortion statistics, abortion risk estimation previous pregnancy losses
Fraser et al. 1964, Fraser 1964
Cite this article
WARBURTON, D., & FRASER, F. C. (1964). Spontaneous Abortion Risks in Man: Data from Reproductive Histories Collected in a Medical Genetics Unit. American journal of human genetics, 16(1), 1-25.
WARBURTON D, FRASER FC. Spontaneous Abortion Risks in Man: Data from Reproductive Histories Collected in a Medical Genetics Unit. Am J Hum Genet. 1964;16(1):1-25.
WARBURTON, D., and F. C. FRASER. "Spontaneous Abortion Risks in Man: Data from Reproductive Histories Collected in a Medical Genetics Unit." American journal of human genetics, vol. 16, no. 1, 1964, pp. 1-25.
Practice Committee of the American Society for Reproductive Medicine, 2026·Fertility and Sterility
Current strategies for the assessment and treatment of recurrent pregnancy loss are discussed. This replaces the previous document, titled, "Evaluation and treatment of recurrent pregnancy loss: a committee opinion," last published in 2012.
Subchorionic hematoma (SCH) is a frequent cause of first-trimester bleeding, particularly in pregnancies conceived through assisted reproductive technologies (ART), and is associated with adverse pregnancy outcomes when persistent. Management is largely conservative, with limited targeted therapeutic options. This descriptive case series evaluated the effectiveness and safety of oral alpha-lipoic acid (ALA) as an adjunct therapy in three primigravida women with ART-conceived pregnancies complicated by persistent first-trimester SCH unresponsive to conventional management, including progesterone support and hemostatic agents. ALA was administered orally at a dose of 600 mg once daily, alongside continued standard therapy. Clinical symptoms and hematoma progression were monitored through serial transvaginal ultrasonography. All three patients experienced cessation of vaginal bleeding within four to seven days of initiating ALA therapy. Complete sonographic resolution of the hematoma was observed within two to four weeks in all cases. No maternal or fetal adverse effects were reported, and all pregnancies progressed uneventfully into the second trimester. These findings suggest that oral ALA may represent a safe and potentially effective adjunctive therapy for persistent first-trimester SCH in ART pregnancies, warranting further evaluation in larger prospective studies.
Could the risk of subsequent pregnancy loss be predicted based on the risk factors of recurrent pregnancy loss (RPL) patients? A nomogram, constructed from independent risk factors identified through multivariate logistic regression, serves as a reliable tool for predicting the likelihood of subsequent pregnancy loss in RPL patients. Approximately 1-3% of fertile couples experience RPL, with over half lacking a clear etiological factor. Assessing the subsequent pregnancy loss rate in RPL patients and identifying high-risk groups for early intervention is essential for pregnancy counseling. Previous prediction models have mainly focused on unexplained RPL, incorporating baseline characteristics such as age and the number of previous pregnancy losses, with limited inclusion of laboratory and ultrasound indicators. STUDY DESIGN, SIZE, The retrospective study involved 3387 RPL patients who initially sought treatment at the Reproductive Immunology Clinic of Renji Hospital, Shanghai Jiao Tong University School of Medicine, between 1 January 2020 and 31 December 2022. Of these, 1153 RPL patients met the inclusion criteria and were included in the analysis. PARTICIPANTS/MATERIALS, SETTING, RPL was defined as two or more pregnancy losses (including biochemical pregnancy loss) with the same partner before 28 weeks of gestation. Data encompassing basic demographics, laboratory indicators (autoantibodies, peripheral immunity coagulation, and endocrine factors), uterine and endometrial ultrasound results, and subsequent pregnancy outcomes were collected from enrolled patients through initial questionnaires, post-pregnancy visits fortnightly, medical data retrieval, and telephone follow-up for lost patients. R software was utilized for data cleaning, dividing the data into a training cohort (n = 808) and a validation cohort (n = 345) in a 7:3 ratio according to pregnancy success and pregnancy loss. Independent predictors were identified through multivariate logistic regression. A nomogram was developed, evaluated by 10-fold cross-validation, and compared with the model incorporating solely age and the number of previous pregnancy losses. The constructed nomogram was evaluated using the AUC, calibration curve, decision curve analysis (DCA), and clinical impact curve analysis (CICA). Patients were then categorized into lowand high-risk subgroups. MAIN We included age, number of previous pregnancy losses, lupus anticoagulant, anticardiolipin IgM, anti-phosphatidylserine/prothrombin complex IgM, anti-double-stranded DNA antibody, arachidonic acid-induced platelet aggregation, thrombin time and the sum of bilateral uterine artery systolic/diastolic ratios in the nomogram. The AUCs of the nomogram were 0.808 (95% CI: 0.770-0.846) in the training cohort and 0.731 (95% CI: 0.660-0.802) in the validation cohort, respectively. The 10-fold cross-validated AUC ranged from 0.714 to 0.925, with a mean AUC of 0.795 (95% CI: 0.750-0.839). The AUC of the nomogram was superior compared to the model incorporating solely age and the number of previous pregnancy losses. Calibration curves, DCAs, and CICAs showed good concordance and clinical applicability. Significant differences in pregnancy loss rates were observed between the lowand high-risk groups (P < 0.001). LIMITATIONS, This study was retrospective and focused on patients from a single reproductive immunology clinic, lacking external validation data. The potential impact of embryonic chromosomal abnormalities on pregnancy loss could not be excluded, and the administration of medication to all cases impacted the investigation of risk factors for pregnancy loss and the model's predictive efficacy. This study signifies a pioneering effort in developing and validating a risk prediction nomogram for subsequent pregnancy loss in RPL patients to effectively stratify their risk. We have integrated the nomogram into an online web tool for clinical applications. STUDY FUNDING/COMPETING INTEREST(S): This study was supported by the National Natural Science Foundation of China (82071725). All authors have no competing interests to declare. N/A.
male-fertility/semen-analysis/sperm-function-testingassisted-reproduction/outcomes/live-birth-ratespregnancy/early-pregnancy/miscarriage
Open Access
The role of sperm DNA fragmentation index (DFI) in investigating fertility, embryonic development, and pregnancy is of academic interest. However, there is ongoing controversy regarding the impact of DFI on pregnancy outcomes and the safety of offspring in the context of Assisted Reproductive Technology (ART). In this study, we conducted an analysis of clinical data obtained from 6330 patients who underwent in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) at the reproductive medical center of The First People's Hospital of Shangqiu and The Affiliated Hospital of Zhengzhou University. The patients was stratified into two distinct groups: IVF group and ICSI group, Within each group, patients were further classified into three subgroups. group A (< 15%) included 3123 patients, group B (15-30%) included 561 patients, and group C (≥ 30%) included 46 patients. group A (< 15%) included 1967 patients, group B (15-30%) included 462 patients, and group C (≥ 30%) included 171 patients. Data were collected and subjected to statistical analysis. There were no significant differences in the basic characteristics among the three groups, and the sperm DFI did not significantly affect the fertilization rates, pregnancy rates, stillbirth rates and the number of birth defects. However, the incidences of miscarriage rates in IVF/ICSI groups with DFI > 30% and DFI 15-30% were significantly higher than those in IVF/ICSI groups with DFI < 15%, and the miscarriage rates in ICSI group with DFI > 30% were significantly higher than DFI 15-30% group, the smooth fitting curve shows that there is a positive correlation between miscarriage rates and sperm DFI (OR 1.095; 95% CI 1.068-1.123; P < 0.001). The birth weight of infants in the IVF/ICSI groups with DFI > 30% and DFI 15-30% exhibited a statistically significant decrease compared to those in the IVF/ICSI groups with DFI < 15%. Furthermore, the birth weight of infants in the ICSI group with DFI > 30% was lower than that of the DFI 15-30% group. The smooth fitting curve analysis demonstrates a negative association between birth weight and sperm DFI (OR 0.913; 95% CI 0.890-0.937; P < 0.001). Sperm DFI has an impact on both miscarriage rates and birth weight in assisted reproductive technology. The smooth fitting curve analysis reveals a positive correlation between miscarriage rates and DFI, while a negative correlation is observed between birth weight and DFI.