Prediction of small-for-gestational-age neonates at 33-39 weeks' gestation in China: logistic regression modeling of the contributions of second- and third-trimester ultrasound data and maternal factors.

OBJECTIVES: A screening model for prediction of small-for-gestational-age (SGA) neonates (SGAp) was established by logistic regression using ultrasound data and maternal factors (MF). We aimed to evaluate the ability of SGAp as well as abdominal circumference (AC) and estimated fetal weight (EFW) measurements to predict SGA neonates at 33-39 weeks' gestation. METHODS: This retrospective study evaluated 5298 singleton pregnancies that had involved three ultrasound examinations at 21+0-27+6, 28+0-32+6, and 33+0-39+6 weeks. All ultrasound data were transformed to MoM values (multiple of the median). Multivariate logistic regression was used to analyze the correlation between SGA status and various variables (ultrasound data and MF) during pregnancy to build the SGAp model. EFW was calculated according to the Hadlock formula at 33-39 weeks of gestation. The predictive performance of SGAp, AC MoM value at 33+0-39+6 weeks (AC-M), EFW MoM value (EFW-M), EFW-M plus MF, AC value at 33+0-39+6 weeks (AC), AC growth velocity, EFW, and EFW plus MF was evaluated using ROC curves. The detection rate (DR) of SGA neonate with SGAp, AC-M, EFW-M, and EFW-M plus MF at false positive rate (FPR) of 5% and 10%, and the FPR at DR of 85%, 90%, and 95% were observed. RESULTS: The AUCs of SGAp, AC-M, EFW-M, EFW-M plus MF, AC, AC growth velocity, EFW, and EFW plus MF for SGA neonates screening were 0.933 (95%CI: 0.916-0.950), 0.906 (95%CI: 0.887-0.925), 0.920 (95%CI: 0.903-0.936), 0.925 (95%CI: 0.909-0.941), 0.818 (95%CI: 0.791-0.845), 0.786 (95%CI: 0.752-0.821), 0.810 (95%CI: 0.782-0.838), and 0.834 (95%CI: 0.807-0.860), respectively. The screening efficiency of SGAp, AC-M, EFW-M, and EFW-M plus MF are significantly higher than AC, AC growth velocity, EFW, and EFW plus MF. The DR of SGAp, AC-M, EFW-M, and EFW-M plus MF for SGA neonates were 80.4%, 69.6%, 73.8% and 74.3% at 10% FPR. The AUCs of SGAp, AC-M, EFW-M, and EFW-M plus MF 0.950 (95%CI: 0.932-0.967), 0.929 (95%CI: 0.909-0.948), 0.938 (95%CI: 0.921-0.956) and 0.941 (95%CI: 0.924-0.957), respectively for screening SGA neonates delivered within 2 weeks after the assessment. The DR for these births increased to 85.8%, 75.8%, 80.0%, and 82.5%, respectively. CONCLUSION: The rational use of ultrasound data can significantly improve the prediction of SGA statuses.

Clinical Pregnancy and Incidence of Ovarian Hyperstimulation Syndrome in High Ovarian Responders Receiving Different Doses of hCG Supplementation in a GnRH-Agonist Trigger Protocol.

OBJECTIVE: Ovarian hyperstimulation syndrome (OHSS) is a side effect of the exogenous human chorionic gonadotropin (hCG) hormones used to trigger oocyte maturation. High ovarian responders represent a population with a higher risk of OHSS and are characterized by an exaggerated response to gonadotropin administration. In this study, we compared clinical pregnancy and incidence of OHSS in high ovarian responders receiving different doses of hCG supplementation in a GnRH-agonist trigger protocol. METHODS: A total of 205 high ovarian responders who were to undergo in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) cycles were recruited and randomly assigned to receive different doses of hCG supplementation in a GnRH-agonist trigger protocol: GnRH-a (n = 42), GnRH-a + 1000 IU hCG (n = 49), GnRH-a + 2000 IU hCG (n = 54), and GnRH-a + 3000 IU hCG (n = 60) groups. RESULTS: The GnRH-a + 1000 IU hCG, GnRH-a + 2000 IU hCG, and GnRH-a + 3000 IU hCG groups had more oocytes retrieved, embryos, high-quality embryos, and a higher rate of high-quality embryos than the GnRH-a group (p < 0.05). The GnRH-a + 1000 IU hCG group demonstrated more oocytes retrieved, embryos, high-quality embryos, and a higher rate of high-quality embryos than the GnRH-a + 2000 IU hCG and GnRH-a + 3000 IU hCG groups (p < 0.05). No moderate and severe OHSS cases occurred in the GnRH-a and GnRH-a + 1000 IU hCG groups. The incidence rate of moderate and severe OHSS was remarkably lower in the GnRH-a group and GnRH-a + 1000 IU hCG groups than in the GnRH-a + 2000 IU hCG and GnRH-a + 3000 IU hCG groups (p < 0.05). The GnRH-a + 1000 IU hCG, GnRH-a + 2000 IU hCG, and GnRH-a + 3000 IU hCG groups had a higher clinical pregnancy rate than the GnRH-a group, showing no significant difference (p > 0.05). The GnRH-a + 1000 IU hCG, GnRH-a + 2000 IU hCG, and GnRH-a + 3000 IU hCG groups had a lower abortion rate than the GnRH-a group (p < 0.05). CONCLUSION: Based on the data obtained from this prospective study, we recommend 1000 IU hCG supplementation in a GnRH-agonist trigger protocol for high ovarian responders during IVF/ICSI cycles considering a higher rate of high-quality embryos, a lower incidence rate of moderate and severe OHSS, and a lower abortion rate.

Uterine perforation in an adolescent using an intrauterine device with memory function: a case report and review of the published work.

Intrauterine devices (IUD) are the most common method of reversible birth control used worldwide. Adolescents infrequently have uterine perforation caused by IUD, hampering both the diagnosis and treatment. Herein, we report a case of uterine perforation in an 18-year-old primipara after insertion of an IUD that possessed memory function (AiMu MCu). The patient presented with vomiting and abdominal pain after insertion of an AiMu MCu IUD, was treated via laparoscopy and had a full recovery. The present case indicated that uterine perforation caused by an AiMu MCu IUD may occur as a rare complication and that uterine perforation can occur in an adolescent. Clinicians might consider a diagnosis of uterine perforation in an adolescent reporting vomiting and abdominal pain after IUD insertion. Laparoscopy could be a reasonable treatment option for such patients.