Machine Learning for the Prediction of Surgical Morbidity in Placenta Accreta Spectrum.

OBJECTIVE: We sought to create a machine learning (ML) model to identify variables that would aid in the prediction of surgical morbidity in cases of placenta accreta spectrum (PAS). STUDY DESIGN: A multicenter analysis including all cases of PAS identified by pathology specimen confirmation, across five tertiary care perinatal centers in New York City from 2013 to 2022. We developed models to predict operative morbidity using 213 variables including demographics, obstetrical information, and limited prenatal imaging findings detailing placental location. Our primary outcome was prediction of a surgical morbidity composite defined as including any of the following: blood loss (>1,500 mL), transfusion, intensive care unit admission, vasopressor use, mechanical ventilation/intubation, and organ injury. A nested, stratified, cross-validation approach was used to tune model hyperparameters and estimate generalizability. Gradient boosted tree classifier models incorporated preprocessing steps of standard scaling for numerical variables and one-hot encoding for categorical variables. Model performance was evaluated using area under the receiver operating characteristic curve (AUC), positive and negative predictive values (PPV, NPV), and F1 score. Variable importance ranking was also determined. RESULTS: Among 401 PAS cases, 326 (81%) underwent hysterectomy. Of the 401 cases of PAS, 309 (77%) had at least one event defined as surgical morbidity. Our predictive model had an AUC of 0.79 (95% confidence interval: 0.69, 0.89), PPV 0.79, NPV 0.76, and F1 score of 0.88. The variables most predictive of surgical morbidity were completion of a hysterectomy, prepregnancy body mass index (BMI), absence of a second trimester ultrasound, socioeconomic status zip code, BMI at delivery, number of prenatal visits, and delivery time of day. CONCLUSION: By identifying social and obstetrical characteristics that increase patients' risk, ML models are useful in predicting PAS-related surgical morbidity. Utilizing ML could serve as a foundation for risk and complexity stratification in cases of PAS to optimize surgical planning. KEY POINTS: · ML models are useful models are useful in predicting PAS-related surgical morbidity.. · Optimal management for PAS remains unclear.. · Utilizing ML can serve as a foundation for risk and complexity stratification in cases of PAS..

Investigation of health inequities in maternal and neonatal outcomes of patients with placenta accreta spectrum: a multicenter study.

BACKGROUND: Placenta accreta spectrum is associated with significant maternal and neonatal morbidity and mortality. There is limited established data on healthcare inequities in the outcomes of patients with placenta accreta spectrum. OBJECTIVE: This study aimed to investigate health inequities in maternal and neonatal outcomes of pregnancies with placenta accreta spectrum. STUDY DESIGN: This multicentered retrospective cohort study included patients with a histopathological diagnosis of placenta accreta spectrum at 4 regional perinatal centers between January 1, 2013, and June 30, 2022. Maternal race and ethnicity were categorized as either Hispanic, non-Hispanic Black, non-Hispanic White, or Asian or Pacific Islander. The primary outcome was a composite adverse maternal outcome: transfusion of ≥4 units of packed red blood cells, vasopressor use, mechanical ventilation, bowel or bladder injury, or mortality. The secondary outcomes were a composite adverse neonatal outcome (Apgar score of <7 at 1 minute, morbidity, or mortality), gestational age at placenta accreta spectrum diagnosis, and planned delivery by a multidisciplinary team. Multivariable logistic regression was used to estimate the associations of race and ethnicity with maternal and neonatal outcomes. RESULTS: A total of 408 pregnancies with placenta accreta spectrum were included. In 218 patients (53.0%), the diagnosis of placenta accreta spectrum was made antenatally. Patients predominantly self-identified as non-Hispanic White (31.6%) or non-Hispanic Black (24.5%). After adjusting for institution, age, body mass index, income, and parity, there was no difference in composite adverse maternal outcomes among the racial and ethnic groups. Similarly, adverse neonatal outcomes, gestational age at prenatal diagnosis, rate of planned delivery by a multidisciplinary team, and cesarean hysterectomy were similar among groups. CONCLUSION: In our multicentered placenta accreta spectrum cohort, race and ethnicity were not associated with inequities in composite maternal or neonatal morbidity, timing of diagnosis, or planned multidisciplinary care. This study hypothesized that a comparable incidence of individual risk factors for perinatal morbidity and geographic proximity reduces potential inequities that may exist in a larger population.

The role of cell-free DNA biomarkers and patient data in the early prediction of preeclampsia: an artificial intelligence model.

BACKGROUND: Accurate individualized assessment of preeclampsia risk enables the identification of patients most likely to benefit from initiation of low-dose aspirin at 12 to 16 weeks of gestation when there is evidence for its effectiveness, and enables the guidance of appropriate pregnancy care pathways and surveillance. OBJECTIVE: The primary objective of this study was to evaluate the performance of artificial neural network models for the prediction of preterm preeclampsia (<37 weeks' gestation) using patient characteristics available at the first antenatal visit and data from prenatal cell-free DNA screening. Secondary outcomes were prediction of early-onset preeclampsia (<34 weeks' gestation) and term preeclampsia (≥37 weeks' gestation). METHODS: This secondary analysis of a prospective, multicenter, observational prenatal cell-free DNA screening study (SMART) included singleton pregnancies with known pregnancy outcomes. Thirteen patient characteristics that are routinely collected at the first prenatal visit and 2 characteristics of cell-free DNA (total cell-free DNA and fetal fraction) were used to develop predictive models for early-onset (<34 weeks), preterm (<37 weeks), and term (≥37 weeks) preeclampsia. For the models, the "reference" classifier was a shallow logistic regression model. We also explored several feedforward (nonlinear) neural network architectures with ≥1 hidden layers, and compared their performance with the logistic regression model. We selected a simple neural network model built with 1 hidden layer and made up of 15 units. RESULTS: Of the 17,520 participants included in the final analysis, 72 (0.4%) developed early-onset, 251 (1.4%) preterm, and 420 (2.4%) term preeclampsia. Median gestational age at cell-free DNA measurement was 12.6 weeks, and 2155 (12.3%) had their cell-free DNA measurement at ≥16 weeks' gestation. Preeclampsia was associated with higher total cell-free DNA (median, 362.3 vs 339.0 copies/mL cell-free DNA; P<.001) and lower fetal fraction (median, 7.5% vs 9.4%; P<.001). The expected, cross-validated area under the curve scores for early-onset, preterm, and term preeclampsia were 0.782, 0.801, and 0.712, respectively, for the logistic regression model, and 0.797, 0.800, and 0.713, respectively, for the neural network model. At a screen-positive rate of 15%, sensitivity for preterm preeclampsia was 58.4% (95% confidence interval, 0.569-0.599) for the logistic regression model and 59.3% (95% confidence interval, 0.578-0.608) for the neural network model. The contribution of both total cell-free DNA and fetal fraction to the prediction of term and preterm preeclampsia was negligible. For early-onset preeclampsia, removal of the total cell-free DNA and fetal fraction features from the neural network model was associated with a 6.9% decrease in sensitivity at a 15% screen-positive rate, from 54.9% (95% confidence interval, 52.9-56.9) to 48.0% (95% confidence interval, 45.0-51.0). CONCLUSION: Routinely available patient characteristics and cell-free DNA markers can be used to predict preeclampsia with performance comparable to that of other patient characteristic models for the prediction of preterm preeclampsia. Logistic regression and neural network models showed similar performance.

First-trimester screening for placenta accreta spectrum.

In recent years, there has been a significant rise in cases of placenta accreta spectrum, a group of life-threatening placental disorders that can arise during childbirth. Early detection plays a crucial role in facilitating meticulous delivery planning, ultimately leading to a reduction in mortality and morbidity rates and improved overall outcomes. Although third-trimester ultrasound has traditionally been the primary method for prenatal screening for placenta accreta spectrum, it often falls short in identifying cases or diagnosis is too late for optimal delivery planning. Emerging evidence has highlighted the option of early detection of placenta accreta spectrum indicators during the first trimester of pregnancy. This comprehensive review delves into our current knowledge of sonographic assessment of the uterine cervicoisthmic complex in the first trimester, examining the location and appearance of cesarean scars and exploring first-trimester screening strategies, ultimately paving the way for improved maternal and neonatal outcomes.

Association of Intrauterine Device Malposition With Previous Cesarean Delivery and Related Uterine Anatomical Changes.

OBJECTIVES: We sought to determine the association between intrauterine device (IUD) malposition and previous cesarean delivery (CD) and related uterine anatomical changes. METHODS: A retrospective cohort of all persons with an IUD presenting for two- and three-dimensional pelvic ultrasonography over 2 years, for any gynecologic indication, was compiled. IUD malposition was defined as IUD partially or completely positioned outside the endometrial cavity. Uterine position, uterine flexion, and cesarean scar defect (CSD) size were assessed. Patient characteristics and sonographic findings were compared between those with normally positioned and malpositioned IUD. Primary outcome was the rate of IUD malposition in persons with and without a history of CD. Logistic regression analysis was used to control for potential confounders. RESULTS: Two hundred ninety-six persons with an IUD had a pelvic ultrasound, 240 (81.1%) had a normally positioned IUD, and 56 (18.9%) had a malpositioned IUD. The most common location of IUD malposition was low uterine segment and cervix (67.9%). Malpositioned IUD was associated with referral for evaluation of pelvic pain (P = .001). Prior CD was significantly associated with a malpositioned IUD, after adjusting for confounders (aOR 3.50, 95% CI 1.31-9.35, P = .01). Among persons with prior CD, uterine retroflexion and a large CSD were independent risk factors for IUD malposition (aOR 4.1, 95% CI 1.1-15.9, P = .04 and aOR 5.4, 95% CI 1.4-20.9, P = .01, respectively). CONCLUSIONS: Prior CD is associated with significantly increased risk of IUD malposition. Among persons with previous CD, those with a retroflexed uterus and a large CSD are more likely to have a malpositioned IUD.

Impact of high-risk prenatal screening results for 22q11.2 deletion syndrome on obstetric and neonatal management: Secondary analysis from the SMART study.

OBJECTIVE: One goal of prenatal genetic screening is to optimize perinatal care and improve infant outcomes. We sought to determine whether high-risk cfDNA screening for 22q11.2 deletion syndrome (22q11.2DS) affected prenatal or neonatal management. METHODS: This was a secondary analysis from the SMART study. Patients with high-risk cfDNA results for 22q11.2DS were compared with the low-risk cohort for pregnancy characteristics and obstetrical management. To assess differences in neonatal care, we compared high-risk neonates without prenatal genetic confirmation with a 1:1 matched low-risk cohort. RESULTS: Of 18,020 eligible participants enrolled between 2015 and 2019, 38 (0.21%) were high-risk and 17,982 (99.79%) were low-risk for 22q11.2DS by cfDNA screening. High-risk participants had more prenatal diagnostic testing (55.3%; 21/38 vs. 2.0%; 352/17,982, p < 0.001) and fetal echocardiography (76.9%; 10/13 vs. 19.6%; 10/51, p < 0.001). High-risk newborns without prenatal diagnostic testing had higher rates of neonatal genetic testing (46.2%; 6/13 vs. 0%; 0/51, P < 0.001), echocardiography (30.8%; 4/13 vs. 4.0%; 2/50, p = 0.013), evaluation of calcium levels (46.2%; 6/13 vs. 4.1%; 2/49, P < 0.001) and lymphocyte count (53.8%; 7/13 vs. 15.7%; 8/51, p = 0.008). CONCLUSIONS: High-risk screening results for 22q11.2DS were associated with higher rates of prenatal and neonatal diagnostic genetic testing and other 22q11.2DS-specific evaluations. However, these interventions were not universally performed, and >50% of high-risk infants were discharged without genetic testing, representing possible missed opportunities to improve outcomes for affected individuals.

Risk of endometrial polyp and surgical intervention in postmenopausal women with proliferative endometrium.

OBJECTIVE: To study the long-term risks of postmenopausal women with proliferative endometrium developing benign uterine pathologies (endometrial polyps and uterine fibroids) and requiring future gynecological interventions, and to compare them with women with atrophic endometrium. DESIGN: Retrospective cohort study of all women aged 55 or over who underwent endometrial biopsy between 1/1997 and 12/2008. Outcome data were available through to 2/2018. Women with proliferative endometrium were compared with those with atrophic endometrium for the presence of endometrial polyps, uterine fibroids, future endometrial biopsy for recurrent vaginal bleeding, and future hysteroscopy or hysterectomy. Logistic regression models were used to evaluate the association of endometrial histology and other covariates with the risk of morbidities. MAIN FINDINGS: Postmenopausal women with proliferative endometrium are at higher risk of developing endometrial polyps, uterine fibroids and need for surgical intervention. Of 1808 women who underwent endometrial biopsy during the study period, 962 met inclusion criteria: 278 had proliferative and 684 had atrophic endometrium. Length of surveillance was similar in the two groups (11.9 vs. 11.5 years, p = 0.2). Compared with women with atrophic endometrium, women with proliferative endometrium had significantly higher rates of endometrial polyps (17.3 % vs 9.7 % p = 0.001). Multivariable logistic regression confirmed that women with proliferative endometrium had more fibroids on ultrasound (62.1 % vs 50.3 % 3 = 0.02), and had increased risks of developing endometrial polyps (aOR 1.9, 95 % CI 1.28-3.07, p = 0.002), repeat endometrial biopsy (34.9 % vs. 16.8%p < 0.001) and future hysterectomy or hysteroscopy (26.6 % vs 16.2 % p < 0.001). CONCLUSIONS: In addition to the long-term increased risk of cancer, postmenopausal women with proliferative endometrium are more likely to have future bleeding, surgical interventions and diagnosis of endometrial polyps. Medical management to reduce estrogenic activity and associated risks may be considered in these cases.

Prenatal Screening for Microdeletions and Rare Autosomal Aneuploidies.

Noninvasive prenatal screening with cell-free DNA is now considered a first-line screening for common aneuploidies. Advancements in existing laboratory techniques now allow to interrogate the entirety of the fetal genome, and many commercial laboratories have expanded their screening panels to include screening for rare autosomal aneuploidies and copy number variants. Here, we review the currently available data on the performance of fetal cell-free DNA to detect rare autosomal aneuploidies and copy number variants that are associated with clinically significant microdeletion and microduplication syndromes and the current position of medical societies on routine screening for these syndromes.

Performance of prenatal cfDNA screening for sex chromosomes.

PURPOSE: The aim of this study was to assess the performance of cell-free DNA (cfDNA) screening to detect sex chromosome aneuploidies (SCAs) in an unselected obstetrical population with genetic confirmation. METHODS: This was a planned secondary analysis of the multicenter, prospective SNP-based Microdeletion and Aneuploidy RegisTry (SMART) study. Patients receiving cfDNA results for autosomal aneuploidies and who had confirmatory genetic results for the relevant sex chromosomal aneuploidies were included. Screening performance for SCAs, including monosomy X (MX) and the sex chromosome trisomies (SCT: 47,XXX; 47,XXY; 47,XYY) was determined. Fetal sex concordance between cfDNA and genetic screening was also evaluated in euploid pregnancies. RESULTS: A total of 17,538 cases met inclusion criteria. Performance of cfDNA for MX, SCTs, and fetal sex was determined in 17,297, 10,333, and 14,486 pregnancies, respectively. Sensitivity, specificity, and positive predictive value (PPV) of cfDNA were 83.3%, 99.9%, and 22.7% for MX and 70.4%, 99.9%, and 82.6%, respectively, for the combined SCTs. The accuracy of fetal sex prediction by cfDNA was 100%. CONCLUSION: Screening performance of cfDNA for SCAs is comparable to that reported in other studies. The PPV for the SCTs was similar to the autosomal trisomies, whereas the PPV for MX was substantially lower. No discordance in fetal sex was observed between cfDNA and postnatal genetic screening in euploid pregnancies. These data will assist interpretation and counseling for cfDNA results for sex chromosomes.

Obstetrical, perinatal, and genetic outcomes associated with nonreportable prenatal cell-free DNA screening results.

BACKGROUND: The clinical implications of nonreportable cell-free DNA screening results are uncertain, but such results may indicate poor placental implantation in some cases and be associated with adverse obstetrical and perinatal outcomes. OBJECTIVE: This study aimed to assess the outcomes of pregnancies with nonreportable cell-free DNA screening in a cohort of patients with complete genetic and obstetrical outcomes. STUDY DESIGN: This was a prespecified secondary analysis of a multicenter prospective observational study of prenatal cell-free DNA screening for fetal aneuploidy and 22q11.2 deletion syndrome. Participants who underwent cell-free DNA screening from April 2015 through January 2019 were offered participation. Obstetrical outcomes and neonatal genetic testing results were collected from 21 primary-care and referral centers in the United States, Europe, and Australia. The primary outcome was risk for adverse obstetrical and perinatal outcomes (aneuploidy, preterm birth at <28, <34, and <37 weeks' gestation, preeclampsia, small for gestational age or birthweight <10th percentile for gestational week, and a composite outcome that included preterm birth at <37 weeks, preeclampsia, small for gestational age, and stillbirth at >20 weeks) after nonreportable cell-free DNA screening because of low fetal fraction or other causes. Multivariable analyses were performed, adjusting for variables known to be associated with obstetrical and perinatal outcomes, nonreportable results, or fetal fraction. RESULTS: In total, 25,199 pregnant individuals were screened, and 20,194 were enrolled. Genetic confirmation was missing in 1165 (5.8%), 1085 (5.4%) were lost to follow-up, and 93 (0.5%) withdrew; the final study cohort included 17,851 (88.4%) participants who had cell-free DNA, fetal or newborn genetic confirmatory testing, and obstetrical and perinatal outcomes collected. Results were nonreportable in 602 (3.4%) participants. A sample was redrawn and testing attempted again in 427; in 112 (26.2%) participants, results were again nonreportable. Nonreportable results were associated with higher body mass index, chronic hypertension, later gestational age, lower fetal fraction, and Black race. Trisomy 13, 18, or 21 was confirmed in 1.6% with nonreportable tests vs 0.7% with reported results (P=.013). Rates of preterm birth at <28, 34, and 37 weeks, preeclampsia, and the composite outcome were higher among participants with nonreportable results, and further increased among those with a second nonreportable test, whereas the rate of small for gestational age infants was not increased. After adjustment for confounders, the adjusted odds ratios were 2.2 (95% confidence interval, 1.1-4.4) and 2.6 (95% confidence interval, 0.6-10.8) for aneuploidy, and 1.5 (95% confidence interval, 1.2-1.8) and 2.1 (95% confidence interval, 1.4-3.2) for the composite outcome after a first and second nonreportable test, respectively. Of the patients with nonreportable tests, 94.9% had a live birth, as opposed to 98.8% of those with reported test results (adjusted odds ratio for livebirth, 0.20 [95% confidence interval, 0.13-0.30]). CONCLUSION: Patients with nonreportable cell-free DNA results are at increased risk for a number of adverse outcomes, including aneuploidy, preeclampsia, and preterm birth. They should be offered diagnostic genetic testing, and clinicians should be aware of the increased risk of pregnancy complications.

Impact of introducing cell-free DNA screening into clinical care on first trimester ultrasound.

OBJECTIVE: First-trimester ultrasound is an important component of prenatal care. We investigated the impact of introducing cell-free DNA (cfDNA) aneuploidy screening into routine care, on performance of first-trimester ultrasound. METHODS: Retrospective study of patients who had prenatal care at a tertiary referral center. We compared the performance of any first-trimester ultrasound between three different aneuploidy screening protocols, used consecutively during the study period: (1) combined first-trimester screening (FTS); (2) FTS and cfDNA offered together; (3) patients requested to choose between FTS and cfDNA. Secondary outcomes included performance of nuchal translucency (NT), aneuploidy screens and diagnostic genetic procedures. RESULTS: The number of patients undergoing first-trimester ultrasound remained similar with the second protocol but decreased in the third (68.7% vs. 40.9%, OR 0.32, 95% CI 0.25-0.4, p < 0.001). Diagnostic procedures decreased between protocol 1 and 2 (7.6% vs. 4.4%, OR 0.59, 95% CI 0.37-0.93, p = 0.02) while NT scans decreased between protocol 2 and 3 (6.8% vs. 1.3%, OR 0.18, 95% CI 0.09-0.4, p < 0.001). The rate of FTS decreased over the study period and less women had cfDNA when they had to choose one method (p < 0.001). CONCLUSIONS: Introducing cfDNA screening as an alternative to FTS, resulted in fewer patients receiving ultrasound in the first-trimester.

Cell-free DNA screening for trisomies 21, 18, and 13 in pregnancies at low and high risk for aneuploidy with genetic confirmation.

BACKGROUND: Cell-free DNA noninvasive prenatal screening for trisomies 21, 18, and 13 has been rapidly adopted into clinical practice. However, previous studies are limited by a lack of follow-up genetic testing to confirm the outcomes and accurately assess test performance, particularly in women at a low risk for aneuploidy. OBJECTIVE: To measure and compare the performance of cell-free DNA screening for trisomies 21, 18, and 13 between women at a low and high risk for aneuploidy in a large, prospective cohort with genetic confirmation of results STUDY DESIGN: This was a multicenter prospective observational study at 21 centers in 6 countries. Women who had single-nucleotide-polymorphism-based cell-free DNA screening for trisomies 21, 18, and 13 were enrolled. Genetic confirmation was obtained from prenatal or newborn DNA samples. The test performance and test failure (no-call) rates were assessed for the cohort, and women with low and high previous risks for aneuploidy were compared. An updated cell-free DNA algorithm blinded to the pregnancy outcome was also assessed. RESULTS: A total of 20,194 women were enrolled at a median gestational age of 12.6 weeks (interquartile range, 11.6-13.9). The genetic outcomes were confirmed in 17,851 cases (88.4%): 13,043 (73.1%) low-risk and 4808 (26.9%) high-risk cases for aneuploidy. Overall, 133 trisomies were diagnosed (100 trisomy 21; 18 trisomy 18; 15 trisomy 13). The cell-free DNA screen positive rate was lower in the low-risk vs the high-risk group (0.27% vs 2.2%; P<.0001). The sensitivity and specificity were similar between the groups. The positive predictive value for the low- and high-risk groups was 85.7% vs 97.5%; P=.058 for trisomy 21; 50.0% vs 81.3%; P=.283 for trisomy 18; and 62.5% vs 83.3; P=.58 for trisomy 13, respectively. Overall, 602 (3.4%) patients had no-call result after the first draw and 287 (1.61%) after including cases with a second draw. The trisomy rate was higher in the 287 cases with no-call results than patients with a result on a first draw (2.8% vs 0.7%; P=.001). The updated algorithm showed similar sensitivity and specificity to the study algorithm with a lower no-call rate. CONCLUSION: In women at a low risk for aneuploidy, single-nucleotide-polymorphism-based cell-free DNA has high sensitivity and specificity, positive predictive value of 85.7% for trisomy 21 and 74.3% for the 3 common trisomies. Patients who receive a no-call result are at an increased risk of aneuploidy and require additional investigation.

Cell-free DNA screening for prenatal detection of 22q11.2 deletion syndrome.

BACKGROUND: Historically, prenatal screening has focused primarily on the detection of fetal aneuploidies. Cell-free DNA now enables noninvasive screening for subchromosomal copy number variants, including 22q11.2 deletion syndrome (or DiGeorge syndrome), which is the most common microdeletion and a leading cause of congenital heart defects and neurodevelopmental delay. Although smaller studies have demonstrated the feasibility of screening for 22q11.2 deletion syndrome, large cohort studies with confirmatory postnatal testing to assess test performance have not been reported. OBJECTIVE: This study aimed to assess the performance of single-nucleotide polymorphism-based, prenatal cell-free DNA screening for detection of 22q11.2 deletion syndrome. STUDY DESIGN: Patients who underwent single-nucleotide polymorphism-based prenatal cell-free DNA screening for 22q11.2 deletion syndrome were prospectively enrolled at 21 centers in 6 countries. Prenatal or newborn DNA samples were requested in all cases for genetic confirmation using chromosomal microarrays. The primary outcome was sensitivity, specificity, positive predictive value, and negative predictive value of cell-free DNA screening for the detection of all deletions, including the classical deletion and nested deletions that are ≥500 kb, in the 22q11.2 low-copy repeat A-D region. Secondary outcomes included the prevalence of 22q11.2 deletion syndrome and performance of an updated cell-free DNA algorithm that was evaluated with blinding to the pregnancy outcome. RESULTS: Of the 20,887 women enrolled, a genetic outcome was available for 18,289 (87.6%). A total of 12 22q11.2 deletion syndrome cases were confirmed in the cohort, including 5 (41.7%) nested deletions, yielding a prevalence of 1 in 1524. In the total cohort, cell-free DNA screening identified 17,976 (98.3%) cases as low risk for 22q11.2 deletion syndrome and 38 (0.2%) cases as high risk; 275 (1.5%) cases were nonreportable. Overall, 9 of 12 cases of 22q11.2 were detected, yielding a sensitivity of 75.0% (95% confidence interval, 42.8-94.5); specificity of 99.84% (95% confidence interval, 99.77-99.89); positive predictive value of 23.7% (95% confidence interval, 11.44-40.24), and negative predictive value of 99.98% (95% confidence interval, 99.95-100). None of the cases with a nonreportable result was diagnosed with 22q11.2 deletion syndrome. The updated algorithm detected 10 of 12 cases (83.3%; 95% confidence interval, 51.6-97.9) with a lower false positive rate (0.05% vs 0.16%; P<.001) and a positive predictive value of 52.6% (10/19; 95% confidence interval, 28.9-75.6). CONCLUSION: Noninvasive cell-free DNA prenatal screening for 22q11.2 deletion syndrome can detect most affected cases, including smaller nested deletions, with a low false positive rate.

Early prediction of placenta accreta spectrum in women with prior cesarean delivery using transvaginal ultrasound at 11 to 14 weeks.

BACKGROUND: There is a growing body of evidence that sonographic signs of placenta accreta spectrum can be observed in the first trimester of pregnancy. The most significant marker is placental location next to or in the scar niche in women with a prior cesarean delivery. OBJECTIVE: This study aimed to assess the performance of transvaginal ultrasound in the early prediction of placenta accreta spectrum in women with a prior cesarean delivery. STUDY DESIGN: This was a retrospective cohort of women with a history of cesarean delivery who had transvaginal ultrasound at 11 to 14 weeks' gestation between September 2016 and May 2018. Ultrasound reports were reviewed and graded for suspicion of placenta accreta spectrum as follows: Grade 0 (no suspicion) if the placenta is not next to the scar; Grade 1 (intermediate suspicion) if the placenta is next or on the scar; Grade 2 (high suspicion) if the placenta was inside the scar niche. In addition, all images were reviewed and graded by trained specialists blinded to the outcome. The primary outcome was a histologic diagnosis of placenta accreta spectrum. Sensitivity, specificity, positive predictive value, and negative predictive value of first-trimester transvaginal ultrasound to detect placenta accreta spectrum were assessed. RESULTS: In this study, 467 patients were included, and 8 (1.7%) had placenta accreta spectrum at delivery. Using the original report, 442 patients (94.6%) were Grade 0, 20 (4.3%) Grade 1, and 5 (1.1%) Grade 2. The revised grading had 456 patients (97.6%) with Grade 0, 5 (1.1%) with Grade 1, and 6 (1.3%) with Grade 2. Patients with Grade 2 yielded a sensitivity of 62.5% (95% confidence interval, 24.5-91.5), specificity of 100% (95% confidence interval, 99.2-100.0), positive predictive value of 100% (95% confidence interval, 97.0-100.0), and negative predictive value of 99.4% (95% confidence interval, 98.4-99.7). Any sonographic suspicion of placenta accreta spectrum (Grade 1 or Grade 2) had a sensitivity of 75% (95% confidence interval, 34.9-96.8), specificity of 95.9% (95% confidence interval, 93.6-97.5), positive predictive value of 24% (95% confidence interval, 14.8-36.4), and negative predictive value of 99.6% (95% confidence interval, 98.5-99.9). The blinded image review yielded a better specificity (99.1% vs 95.9%; P=.001) and a positive predictive value (63.6% vs 24%; P=.02) with similar sensitivity (87.5% vs 75%; P=.52) and negative predictive value (99.8% vs 99.6%; P=.55). CONCLUSION: Transvaginal ultrasound between 11 and 14 weeks' gestation in women a with prior cesarean delivery can identify at least 3 of 4 cases of placenta accreta spectrum. A finding of placental implantation within the scar niche has high positive predictive value for placenta accreta spectrum. Prospective studies are needed to assess routine screening for placenta accreta spectrum at 11 to 14 weeks' gestation in women with a prior cesarean delivery.

Prenatally diagnosed vasa previa: association with adverse obstetrical and neonatal outcomes.

BACKGROUND: Vasa previa represents a rare prenatal finding with potentially life-threatening risk to the fetus. OBJECTIVE: This study aimed to describe the natural history of prenatally diagnosed vasa previa and evaluate the association between antenatally diagnosed vasa previa and adverse obstetrical and neonatal outcomes. STUDY DESIGN: This was a multicenter descriptive and retrospective study of patients diagnosed prenatally with vasa previa on transvaginal ultrasound in the New York City Maternal-Fetal Medicine Research Consortium centers between 2012 and 2018. Outcomes evaluated included persistence of vasa previa at the time of delivery, gestational age at delivery, indications for unplanned unscheduled delivery, and neonatal course. RESULTS: A total of 165 pregnancies with vasa previa were included, of which 16 were twin gestations. Forty-three cases (26.1%) were noted to resolve on subsequent ultrasound. Of the remaining 122 cases with persistent vasa previa, 46 (37.7%) required unscheduled delivery. Twin gestations were nearly 3 times as likely to require unscheduled delivery as singleton gestations (73.3% vs 25.2%; P<.001). Most infants (70%) were admitted to the neonatal intensive care unit. There was 1 neonatal death (0.9%) because of complications related to prematurity. CONCLUSION: Despite the low neonatal mortality rate with prenatal detection of vasa previa, one-third of patients required unscheduled delivery, and more than half of neonates experienced complications related to prematurity.

Long-term outcome of postmenopausal women with proliferative endometrium on endometrial sampling.

BACKGROUND: Proliferative endometrium has been reported in 15% of endometrial biopsies of women aged 50 years and older. Contrary to endometrial hyperplasia, proliferative endometrium has not been associated with the risk of endometrial cancer. OBJECTIVE: This study aimed to report on the long-term outcome of postmenopausal women who received a diagnosis of proliferative endometrium. STUDY DESIGN: This is a retrospective cohort study of 1808 women aged 55 years and older who underwent endometrial sampling between January 1997 and December 2008. Outcome data were available through February 2018. Women with a proliferative endometrium were compared with those with an atrophic endometrium for future development of endometrial hyperplasia or cancer. A subanalysis was performed for those who presented with postmenopausal bleeding. Uni- and multivariable logistic regression analyses were used to assess for confounders. RESULTS: In this study, 297 women (16.4%) received a diagnosis of proliferative endometrium. Furthermore, 962 women met the inclusion criteria. Among those women, 278 had a proliferative endometrium, and 684 had an atrophic endometrium. Women with a proliferative endometrium were younger (61.2 vs 64.5 years; P<.0001) and had a higher body mass index (33.9 vs 30.6 kg/m2; P<.0001). More African American women had a proliferative endometrium. Both groups had a similar length of surveillance (11.9 vs 11.5 years; P=.27). Women with a proliferative endometrium had a higher risk of developing endometrial hyperplasia or cancer (11.9% vs 2.9%; P<.0001), any endometrial cancer (5.8% vs 1.8%; P=.002), atypical endometrial hyperplasia (2.2% vs 0.4%; P=.02), and nonatypical endometrial hyperplasia (2.0% vs 0.7%; P=.001). The risk of developing endometrial cancer and endometrial hyperplasia remained similar after excluding cases on hormonal replacement therapy (12.2% vs 3%; P=.001). On logistic regression analysis, proliferative endometrium histology (odds ratio, 3.89; 95% confidence interval, 2.03-7.49; P<.0001), age >60 years (odds ratio, 1.98; 95% confidence interval, 1.03-3.82; P=.04), and body mass index >35 kg/m2 (odds ratio, 2.3; 95% confidence interval, 1.09-4.83; P<.0001) remained significant risk factors for progression to cancer. CONCLUSION: One of the 6 postmenopausal women who underwent endometrial sampling had a proliferative endometrium. Furthermore, 11.9% of women developed endometrial hyperplasia or cancer, a 4-fold greater incidence than women with an atrophic endometrium. The findings of this study suggest that long-term monitoring is warranted for women with postmenopausal bleeding and a proliferative endometrium histology. Further studies are needed to examine if a treatment is required to negate the risk of unopposed estrogen.