BACKGROUND: Appropriate physical activity (PA) and good sleep are beneficial to maternal and fetal health. This paper sought to explore the associations of PA and sleep quality among healthy women at the first and second trimesters of pregnancy on mental health and pregnancy outcomes.
METHODS: Totally 268 healthy pregnant women were retrospectively analyzed as study subjects, 134 each in the first trimester (FT) and second trimester (ST). Their baseline clinical data were obtained respectively at two stages of pregnancy. The PA/sleep quality of subjects were assessed through the Pregnancy Physical Activity Questionnaire-Chinese version (PPAQ-C)/Pittsburgh Sleep Quality Index (PSQI) scale. The mental health was assessed via the Hospital Anxiety and Depression Scale (HADS). The correlations of PA and sleep quality with mental health were analyzed using Spearman correlation analysis. Pregnancy outcomes of all subjects, associations of moderate intensity (MI) PA and sleep quality with adverse pregnancy outcomes, and independent influencing factors for adverse outcomes were analyzed.
RESULTS: Pregnant women in the ST group exhibited higher levels of MI, worse sleep quality, and lower levels of anxiety and depression than those in the FT group. Anxiety and depression were negatively correlated with MI but positively linked with PSQI scores at the first and second trimesters. MI ≥ 7.5 MET-h/week and good sleep quality were associated with a reduced incidence of adverse pregnancy outcomes.
CONCLUSIONS: MI ≥ 7.5 MET-h/week and good sleep quality at the first and second trimesters of pregnancy benefit mental health and markedly reduce the occurrence of adverse pregnancy outcomes.

Retroperitoneal liposarcoma during pregnancy is rare and poses significant diagnostic challenges, even for experienced specialists. We present a case report of a 27-year-old female patient, 15 weeks pregnant, who was admitted to the hospital due to a massive retroperitoneal liposarcoma. The patient underwent surgical resection of the tumor. Postoperative pathology confirmed a diagnosis of well-differentiated liposarcoma. Although liposarcoma during pregnancy is rare and challenging to diagnose, CT or MRI plays a crucial role in its detection. The recurrence rate depends on the pathological stage, histological grade, and ability to resect the tumor.

Fertility-preserving surgery (FPS) in advanced ovarian cancer (AOC) is extremely rare and consequently, information about the pregnancies of these patients is anecdotal. Therefore, management of the pregnancy after AOC is challenging, especially if an unexpected situation arises. A 31-year-old nulliparous woman was admitted to our tertiary hospital in the 18th week of twin pregnancy with sudden severe abdominal pain. Her medical history included a low-grade AOC stage IIIc diagnosed 2 years before pregnancy and treated by debulking FPS and systemic therapy with carboplatin/paclitaxel and bevacizumab. Clinical examination described normal vital signs and peritoneal irritation without any vaginal discharge. Sonography revealed free fluid in the pouch of Douglas and intact twin pregnancy. Laboratory work showed elevated leukocytes with neutrophilia. To evaluate appendicitis magnetic resonance imaging of the abdomen was indicated. This revealed a uterine rupture with the now extra-cavitary position of the twins. Simultaneously, the patient\'s symptoms deteriorated, and emergency surgery was necessary where hemoperitoneum with avital fetuses were present. Despite excessive blood loss the uterus could be repaired and preserved. Previous resection of the uterine serosa during her debulking FPS, administration of bevacizumab affecting smooth muscles, and overstretching the uterus in the twin pregnancy were considered as possible risk factors for the presenting uterine rupture. Pregnancy after AOC is possible but should be monitored closely, especially due to the hidden long-term consequences of its therapy. In the differential diagnosis of sudden abdominal pain during pregnancy uterine rupture should be considered even in patients with an unscared uterus.

UNASSIGNED: Uterine perforation and bowel injury are rare but potentially life-threatening complications of surgical abortion. Early diagnosis results in easier management and better prognosis. We report here a case of a 39-year-old presented with peritonitis secondary to traumatic bowel perforation after second-trimester surgical abortion.
METHODS: A 39-year-old Gravida 3 Para 2 presented with acute abdominal pain two days after second trimester induced abortion. On physical examination, the patient was febrile and hypotensive with diffuse abdominal tenderness. Emergency abdomino-pelvic-CT showed generalized peritonitis with pneumoperitoneum. The patient underwent an emergency laparotomy. Per operative exploration revealed a perforation of the fundus of the uterus and the sigmoid portion of the large intestine, resulting in stercoral peritonitis. We proceeded with thorough cleansing of the abdominal cavity with physiological serum, followed by partial colectomy including the perforated sigmoid and a Hartmann\'s procedure. The patient was admitted to the post-operative intensive care unit for 18 days and discharged on day 27 after the surgery. Intestinal continuity restoration was performed six months after the surgery.
UNASSIGNED: Given the severity of second trimester pregnancy termination complications, efforts should be made to promote contraception and medical first-trimester pregnancy termination. Any unusual symptom after surgical induced abortion should lead to suspect uterine perforation.
CONCLUSIONS: Uterine perforation during induced abortion is usually asymptomatic and can generally be managed conservatively. However, bowel injury may result in peritonitis, requiring immediate laparotomy and resection of perforated bowel. CT-scans can help diagnose this rare complication.

UNASSIGNED: A large proportion of pregnant women in lower and middle-income countries (LMIC) seek their first antenatal care after 14 weeks of gestation. While the last menstrual period (LMP) is still the most prevalent method of determining gestational age (GA), ultrasound-based foetal biometry is considered more accurate in the second and third trimesters. In LMIC settings, the Hadlock formula, originally developed using data from a small Caucasian population, is widely used for estimating GA and foetal weight worldwide as the pre-programmed formula in ultrasound machines. This approach can lead to inaccuracies when estimating GA in a diverse population. Therefore, this study aimed to develop a population-specific model for estimating GA in the late trimesters that was as accurate as the GA estimation in the first trimester, using data from GARBH-Ini, a pregnancy cohort in a North Indian district hospital, and subsequently validate the model in an independent cohort in South India.
UNASSIGNED: Data obtained by longitudinal ultrasonography across all trimesters of pregnancy was used to develop and validate GA models for the second and third trimesters. The gold standard for GA estimation in the first trimester was determined using ultrasonography. The Garbhini-GA2, a polynomial regression model, was developed using the genetic algorithm-based method, showcasing the best performance among the models considered. This model incorporated three of the five routinely measured ultrasonographic parameters during the second and third trimesters. To assess its performance, the Garbhini-GA2 model was compared against the Hadlock and INTERGROWTH-21st models using both the TEST set (N = 1493) from the GARBH-Ini cohort and an independent VALIDATION dataset (N = 948) from the Christian Medical College (CMC), Vellore cohort. Evaluation metrics, including root-mean-squared error, bias, and preterm birth (PTB) rates, were utilised to comprehensively assess the model\'s accuracy and reliability.
UNASSIGNED: With first trimester GA dating as the baseline, Garbhini-GA2 reduced the GA estimation median error by more than three times compared to the Hadlock formula. Further, the PTB rate estimated using Garbhini-GA2 was more accurate when compared to the INTERGROWTH-21st and Hadlock formulae, which overestimated the rate by 22.47% and 58.91%, respectively.
UNASSIGNED: The Garbhini-GA2 is the first late-trimester GA estimation model to be developed and validated using Indian population data. Its higher accuracy in GA estimation, comparable to GA estimation in the first trimester and PTB classification, underscores the significance of deploying population-specific GA formulae to enhance antenatal care.
UNASSIGNED: The GARBH-Ini cohort study was funded by the Department of Biotechnology, Government of India (BT/PR9983/MED/97/194/2013). The ultrasound repository was partly supported by the Grand Challenges India-All Children Thriving Program, Biotechnology Industry Research Assistance Council, Department of Biotechnology, Government of India (BIRAC/GCI/0115/03/14-ACT). The research reported in this publication was made possible by a grant (BT/kiData0394/06/18) from the Grand Challenges India at Biotechnology Industry Research Assistance Council (BIRAC), an operating division jointly supported by DBT-BMGF-BIRAC. The external validation study at CMC Vellore was partly supported by a grant (BT/kiData0394/06/18) from the Grand Challenges India at Biotechnology Industry Research Assistance Council (BIRAC), an operating division jointly supported by DBT-BMGF-BIRAC and by Exploratory Research Grant (SB/20-21/0602/BT/RBCX/008481) from Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras. An alum endowment from Prakash Arunachalam (BIO/18-19/304/ALUM/KARH) partly funded this study at the Centre for Integrative Biology and Systems Medicine, IIT Madras.

Gestational diabetes mellitus (GDM) is a hyperglycemic state that is typically diagnosed by an oral glucose tolerance test (OGTT), which is unpleasant, time-consuming, has low reproducibility, and results are tardy. The machine learning (ML) predictive models that have been proposed to improve GDM diagnosis are usually based on instrumental methods that take hours to produce a result. Near-infrared (NIR) spectroscopy is a simple, fast, and low-cost analytical technique that has never been assessed for the prediction of GDM. This study aims to develop ML predictive models for GDM based on NIR spectroscopy, and to evaluate their potential as early detection or alternative screening tools according to their predictive power and duration of analysis. Serum samples from the first trimester (before GDM diagnosis) and the second trimester (at the time of GDM diagnosis) of pregnancy were analyzed by NIR spectroscopy. Four spectral ranges were considered, and 80 mathematical pretreatments were tested for each. NIR data-based models were built with single- and multi-block ML techniques. Every model was subjected to double cross-validation. The best models for first and second trimester achieved areas under the receiver operating characteristic curve of 0.5768 ± 0.0635 and 0.8836 ± 0.0259, respectively. This is the first study reporting NIR-spectroscopy-based methods for the prediction of GDM. The developed methods allow for prediction of GDM from 10 µL of serum in only 32 min. They are simple, fast, and have a great potential for application in clinical practice, especially as alternative screening tools to the OGTT for GDM diagnosis.

BACKGROUND: Although the fetal sphericity index (SI) and fractional shortening (FS) of 24 transverse segments have been previously reported after the 20th gestational week, there have been no reports during the first and early second trimester.
OBJECTIVE: This study aimed to clarify the SI and FS of 24 transverse segments in normal fetuses before the 20th gestational week.
METHODS: A total of 101 normal fetuses aged between 12 and 20 gestational weeks were examined. The displacement of the ventricular endocardium during the cardiac cycle was computed using speckle-tracking software (GE Healthcare, Milwaukee, WI). We analyzed the length of 24 end-diastolic lateral segments and the end-diastolic basal (seg1-6)- middle (Seg7-15)-apical (Seg16-24) distribution from the base to the apex of each ventricle, according to the method described by DeVore et al. The SI and FS were computed for each of the 24 segments by dividing the mid-basal-apical length by the transverse size.
RESULTS: The SI for each segment was independent of the gestational age. The SI of the right ventricle was significantly lower than that of the left ventricle for segments 1-14, suggesting that the right ventricle was more spherical than the left ventricle in the basal segment only. The FS of the right ventricle was significantly lower than that of the left ventricle in segments 1 to 2 and 13 to 24.
CONCLUSIONS: The morphology of the ventricles before 20 weeks of gestation differs from that between 20 and 40 weeks of gestation. This difference may be related to myocardial densification or performance.

Current study aims to compare the application of two-dimensional (2D) color doppler ultrasound (CDU) and four-dimensional (4D) ultrasound spatiotemporal image correlation (STIC) in fetal congenital heart disease in the second trimester of pregnancy and to analyze the high risk factors of the disease. From August 2019 to July 2021, 135 second-trimester patients with highly suspected congenital heart malformations were selected who underwent prenatal screening at South Taihu Hospital Affiliated to Huzhou University. 2D-CDU, 4D STIC, and postnatal examination were completed in all patients. 2D-CDU, 4D STIC and 2D-CDU combined with 4D STIC were used to detect fetal cardiac malformations and classify cardiac malformations. The sensitivity, specificity, positive predictive value, negative predictive value and coincidence rate of 2D-CDU, 4D STIC and 2D-CDU combined with 4D STIC were compared. The results of 2D-CDU, 4D STIC and 2D-CDU combined with 4D STIC screening were analyzed for consistency using the results of postpartum diagnosis as the gold standard. Moreover, effects of maternal gestational factors on fetal cardiac malformations by univariate and multivariate analysis. 2D-CDU combined with 4D STIC showed significantly higher section display number than 2D-CDU or 4D STIC in the view of ductal arch, aortic arch, and aortic short-axis. A total of 45 cases of fetal congenital heart malformation were detected in 135 patients in the second trimester, 40, 38 or 42 cases were detected by 2D-CDU, 4D STIC or 2D-CDU combined with 4D STIC, respectively. The sensitivity, specificity, positive predictive value, negative predictive value and coincidence rate of 2D-CDU combined with 4D ultrasound in congenital heart malformation screening were higher than those of 2D-CDU or 4D STIC. Kappa agreement analysis showed that the diagnostic results of 4D STIC and 2D-CDU combined with 4D ultrasound in fetuses with suspected congenital heart malformation were in excellent agreement (κ > 0.75), while 2D-CDU was in good agreement with postpartum diagnosis (κ < 0.75). Univariate and multivariate regression analysis revealed that maternal age ≥ 35, drinking during pregnancy, and history of adverse pregnancy and childbirth were all independent risk factors for fetal cardiac malformations, while folic acid supplementation was an independent protective factor for fetal cardiac malformations. 2D-CDU combined with 4D echocardiography may be superior to single 2D-CDU or 4D STIC in the screening of fetal congenital heart malformation in the second trimester. In order to reduce the incidence of fetal heart anomalies, we should strengthen the screening of pregnancy anomalies in high-risk pregnant women and control the risk factors.

UNASSIGNED: Fetal ultrasound has limitations, especially if the patient is obese or in cases with oligohydramnios. Magnetic resonance imaging (MRI) can then be used as a complement, but only few studies have focused on examinations in the second trimester.
UNASSIGNED: To validate MRI as a complement to diagnose fetal anomalies in the second trimester.
UNASSIGNED: This retrospective study retrieved data from January 2008 to July 2012 from the Fetal Medicine Unit and Department of Radiology at Uppsala University Hospital. Ultrasound and MRI findings were reviewed in 121 fetuses in relation to the final diagnosis, including postpartum follow-up and autopsy results.
UNASSIGNED: Of the 121 fetuses, 51 (42%) had a CNS anomaly and 70 (58%) a non-CNS anomaly diagnosed or suspected. MRI provided additional information in 21% of all cases without changing the management and revealed information that changed the management of the pregnancy in 13%. When a CNS anomaly was detected or suspected, the MRI provided additional information in 22% and changed the management in 10%. The corresponding figures for non-CNS cases were 21% and 16%, respectively. The proportion of cases with additional information that changed the management was especially high in patients with a BMI >30 kg/m2 (25%) and in patients with oligohydramnios (38%). In five cases in category III, false-positive ultrasound findings were identified.
UNASSIGNED: MRI in the second trimester complements ultrasound and improves diagnosis of fetal CNS- and non-CNS anomalies especially when oligohydramnios or maternal obesity is present.

UNASSIGNED: Isolated fetal ventriculomegaly can have a range of consequences, ranging from mild neurodevelopmental delay to perinatal death; the extent of these consequences often depend on the severity of ventriculomegaly. This systematic review and meta-analysis aims to investigate the impact of the degree of ventricular dilatation on the risk of neurodevelopmental delay and adverse perinatal outcomes in fetuses diagnosed with isolated fetal ventriculomegaly from gestational week 15 onwards.
UNASSIGNED: PubMed, Embase, Scopus and the Cochrane Library were searched electronically to identify studies investigating the prognosis of mild and/or severe isolated fetal ventriculomegaly. Articles were included if they reported neurodevelopmental or perinatal outcomes in fetuses prenatally diagnosed with isolated fetal ventriculomegaly from week 15 of gestation and onwards. Studies were excluded if they reported on non-isolated ventriculomegaly (IVM), failed to specify the degree of ventriculomegaly, were non-English papers, animal studies or published outside of the 21-year period of interest. Study quality was assessed by two independent reviewers using a modified version of the Newcastle-Ottawa Quality Assessment Scale. Ventriculomegaly was defined as either mild or severe when ventricular diameter measured as 10-15 or >15 mm, respectively. Meta-analyses were conducted for adverse neurodevelopmental outcome, intrauterine fetal demise and infant mortality.
UNASSIGNED: Following the removal of duplicates, the search yielded 2,452 citations, of which 23 studies were included and 8 were eligible for meta-analysis. There were 767 and 347 cases of mild and severe isolated fetal ventriculomegaly, respectively. Adverse outcomes were consistently reported at a higher rate in severe cases than mild. The relative risks of adverse neurodevelopmental outcome, intrauterine fetal demise and infant mortality were 4.24 [95% confidence interval (CI): 2.46-7.30], 4.46 (95% CI: 1.64-12.11) and 6.02 (95% CI: 1.73-21.00), respectively, upon comparison of mild versus severe cases of isolated fetal ventriculomegaly.
UNASSIGNED: The likelihood of adverse neurodevelopmental and perinatal outcomes, including intrauterine and infant mortality, is increased in severe isolated fetal ventriculomegaly compared to mild isolated fetal ventriculomegaly.