Developing an interpretation model for body fluid identification.

Criminal investigations, particularly sexual assaults, frequently require the identification of body fluid type in addition to body fluid donor to provide context. In most cases this can be achieved by conventional methods, however, in certain scenarios, alternative molecular methods are required. An example of this is the detection of menstrual fluid and vaginal material, which are not able to be identified using conventional techniques. Endpoint reverse-transcription PCR (RT-PCR) is currently used for this purpose to amplify body fluid specific messenger RNA (mRNA) transcripts in forensic casework. Real-time quantitative reverse-transcription PCR (RT-qPCR) is a similar method but utilises fluorescent markers to generate quantitative results in the form of threshold cycle (Cq) values. Despite the uncertainty surrounding body fluid identification, most interpretation guidelines utilise categorical statements. Probabilistic modelling is more realistic as it reflects biological variation as well as the known performance of the method. This research describes the application of various machine learning models to single-source mRNA profiles obtained by RT-qPCR and assesses their performance. Multinomial logistic regression (MLR), Naïve Bayes (NB), and linear discriminant analysis (LDA) were used to discriminate between the following body fluid categories: saliva, circulatory blood, menstrual fluid, vaginal material, and semen. We identified that the performance of MLR was somewhat improved when the quantitative dataset of the original Cq values was used (overall accuracy of approximately 0.95) rather than presence/absence coded data (overall accuracy of approximately 0.94). This indicates that the quantitative information obtained by RT-qPCR amplification is useful in assigning body fluid class. Of the three classification methods, MLR performed the best. When we utilised receiver operating characteristic curves to observe performance by body fluid class, it was clear that all methods found difficulty in classifying menstrual blood samples. Future work will involve the modelling of body fluid mixtures, which are common in samples analysed as part of sexual assault investigations.

Association of Neighborhood-Level Socioeconomic Status With Prolapse Management Decision.

IMPORTANCE: This study identifies how neighborhood-level socioeconomic status (SES) may affect patients' treatment decisions for pelvic organ prolapse (POP). OBJECTIVE: This study aimed to evaluate the association of neighborhood-level SES with the decision of surgical versus conservative POP management. STUDY DESIGN: This was a retrospective cohort study of patients newly diagnosed with POP at a tertiary medical center between 2015 and 2021. Patients lost to follow-up or poor surgical candidates were excluded. Patient characteristics, demographics, and treatment selection were abstracted from the electronic health record. Conservative management was defined as expectant, pessary, and/or pelvic floor physical therapy. Five-digit zip codes were linked to the Area Deprivation Index and used as a surrogate for neighborhood-level SES. Area Deprivation Indices were dichotomized at or below the sample median (less disadvantaged area) and above the sample median (more disadvantaged area). Logistic regression models estimated the odds of choosing surgical versus conservative management as a function of the Area Deprivation Index. RESULTS: A total of 459 patients met the eligibility criteria (non-Hispanic White, 88.2%). The median age was 63 years (interquartile range, 52-70 years), and the majority had stage 2 POP (65.7%). Of all patients, 59.3% had Medicare/Medicaid, 39.9% were privately insured, and 0.9% were uninsured. Furthermore, 74.7% selected surgical management, and 25.3% chose conservative management. Increasing age and higher Pelvic Organ Prolapse Quantification System stage were significantly associated with selecting surgery (P = 0.01). Women residing in a more disadvantaged area had a 67% increased odds of choosing surgical over conservative management (adjusted odds ratio, 1.67; 95% confidence interval, 1.06-2.64) after adjusting for age, race/ethnicity, body mass index, and Pelvic Organ Prolapse Quantification System stage. CONCLUSIONS: Residing in a more disadvantaged zip code was associated with 67% increased odds of choosing surgical versus conservative POP management.

Community-level social determinants of health and pregestational and gestational diabetes.

BACKGROUND: Individual adverse social determinants of health are associated with increased risk of diabetes in pregnancy, but the relative influence of neighborhood or community-level social determinants of health is unknown. OBJECTIVE: This study aimed to determine whether living in neighborhoods with greater socioeconomic disadvantage, food deserts, or less walkability was associated with having pregestational diabetes and developing gestational diabetes. STUDY DESIGN: We conducted a secondary analysis of the prospective Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be. Home addresses in the first trimester were geocoded at the census tract level. The exposures (modeled separately) were the following 3 neighborhood-level measures of adverse social determinants of health: (1) socioeconomic disadvantage, defined by the Area Deprivation Index and measured in tertiles from the lowest tertile (ie, least disadvantage [T1]) to the highest (ie, most disadvantage [T3]); (2) food desert, defined by the United States Department of Agriculture Food Access Research Atlas (yes/no by low income and low access criteria); and (3) less walkability, defined by the Environmental Protection Agency National Walkability Index (most walkable score [15.26-20.0] vs less walkable score [<15.26]). Multinomial logistic regression was used to model the odds of gestational diabetes or pregestational diabetes relative to no diabetes as the reference, adjusted for age at delivery, chronic hypertension, Medicaid insurance status, and low household income (<130% of the US poverty level). RESULTS: Among the 9155 assessed individuals, the mean Area Deprivation Index score was 39.0 (interquartile range, 19.0-71.0), 37.0% lived in a food desert, and 41.0% lived in a less walkable neighborhood. The frequency of pregestational and gestational diabetes diagnosis was 1.5% and 4.2%, respectively. Individuals living in a community in the highest tertile of socioeconomic disadvantage had increased odds of entering pregnancy with pregestational diabetes compared with those in the lowest tertile (T3 vs T1: 2.6% vs 0.8%; adjusted odds ratio, 2.52; 95% confidence interval, 1.41-4.48). Individuals living in a food desert (4.8% vs 4.0%; adjusted odds ratio, 1.37; 95% confidence interval, 1.06-1.77) and in a less walkable neighborhood (4.4% vs 3.8%; adjusted odds ratio, 1.33; 95% confidence interval, 1.04-1.71) had increased odds of gestational diabetes. There was no significant association between living in a food desert or a less walkable neighborhood and pregestational diabetes, or between socioeconomic disadvantage and gestational diabetes. CONCLUSION: Nulliparous individuals living in a neighborhood with higher socioeconomic disadvantage were at increased odds of entering pregnancy with pregestational diabetes, and those living in a food desert or a less walkable neighborhood were at increased odds of developing gestational diabetes, after controlling for known covariates.

Incidence of postpartum depression in low-income cannabis users with and without a history of depression.

While past research has linked cannabis use in pregnancy with a history of depression, sparse literature exists on cannabis use during pregnancy and postpartum depression (PPD). In this study, we aimed to better understand the association between PPD and cannabis use during pregnancy in those with and without a history of depression. This was a retrospective cohort study of patients who received prenatal care at a single institution between January 2017 and December 2019. Patient demographics, obstetric history, depression history, substance use history, and Edinburgh Postnatal Depression Scale (EPDS) scores were extracted from patients' medical records. Modified Poisson Regression with robust standard errors was used to estimate the relative risk (RR) of screening positive for PPD, adjusting for age at delivery, race/ethnicity, insurance type, marital status, and smoking history. Among the 799 subjects meeting inclusion criteria, 15.9% used cannabis during pregnancy. There was an increased risk of screening positive for PPD among prenatal cannabis users compared to non-users (aRR = 1.60, 95% CI: (1.05, 2.45)). Among individuals with a history of depression, the adjusted relative risk of screening positive for symptoms of PPD at the postpartum visit was 1.62 times greater in cannabis users compared to non-users (95% CI: (1.02, 2.58)). Prenatal cannabis use is associated with screening positive for PPD, particularly in those individuals with a history of depression. These results should discourage women with depression from self-medicating with cannabis in pregnancy and provide additional support to the existing recommendations to abstain from prenatal cannabis use.

Partial validation of multiplexed real-time quantitative PCR assays for forensic body fluid identification.

Confirmatory body fluid identification using messenger RNA (mRNA) is a well-established technique to address issues encountered with conventional testing - such as poor sensitivity, specificity, and a lack of available tests for all body fluids of interest. For over a decade, endpoint reverse-transcription polymerase chain reaction (RT-PCR) assays have been used in forensic casework for such purposes. However, in comparison with real-time quantitative RT-PCR (RT-qPCR), endpoint RT-PCR has lower sensitivity, precision, and linear dynamic range. This research details the multiplexing and partial validation of confirmatory RT-qPCR assays. We have previously described novel assays for a range of body fluid targets and identified an optimal commercial kit for their amplification. Here, multiplexing was undertaken to form three assays: circulatory blood (SLC4A1) and menstrual fluid (STC1), saliva (HTN3) and vaginal material (CYP2B7P), and spermatozoa (PRM1) and seminal fluid (KLK2), all including a synthetic internal control RNA. Partial validation of the multiplexed assays incorporated the MIQE guidelines, ISO requirements, and SWGDAM guidelines. Using receiver operating characteristic (ROC) curves, each marker was significantly different from an uninformative assay and optimal cut-offs were all above 35 cycles. All assays showed a wide LDR (ranging from 3 to 5 logs with most R2 > 0.99), and high precision (most mean CV < 1 %). STC1 showed some instances of sporadic expression in blood, semen, and vaginal material at high CT values. CYP2B7P showed off-target expression in semen and blood. The sensitivities were approximated as; saliva: 1 in 1,000 dilution of a whole buccal swab, circulatory blood: 0.01-0.1 µL blood, menstrual fluid: 1 in 10,000 dilution of a whole menstrual swab, spermatozoa: 0.001 µL semen, seminal fluid: 0.01 µL semen, and vaginal material: 1 in 1,000 dilution of a whole vaginal swab. A total of 16 mock body fluid extract mixtures and 18 swab mixtures were tested and had 100% and 99% detection of target markers below each specific cut-off, respectively. Some mixtures containing high volumes of blood and semen showed off-target CYP2B7P expression. The successful application of a probabilistic model to the RT-qPCR data was also demonstrated. Further work will involve full developmental validation.

Neighborhood Socioeconomic Disadvantage and Abnormal Birth Weight.

OBJECTIVE: To examine whether exposure to community or neighborhood socioeconomic disadvantage as measured by the ADI (Area Deprivation Index) is associated with risk of abnormal birth weight among nulliparous individuals with singleton gestations. METHODS: This was a secondary analysis from the prospective cohort NuMoM2b study (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be). Participant addresses at cohort enrollment between 6 and 13 weeks of gestation were geocoded at the Census tract level and linked to the 2015 ADI. The ADI, which incorporates the domains of income, education, employment, and housing quality into a composite national ranking of neighborhood socioeconomic disadvantage, was categorized by quartiles (quartile 1, least disadvantaged, reference; quartile 4, most disadvantaged). Outcomes were large for gestational age (LGA; birth weight at or above the 90th percentile) and small for gestational age (SGA; birth weight below the 10th percentile) compared with appropriate for gestational age (AGA; birth weight 10th-90th percentile) as determined with the 2017 U.S. natality reference data, standardized for fetal sex. Multinomial logistic regression models were adjusted for potential confounding variables. RESULTS: Of 8,983 assessed deliveries in the analytic population, 12.7% (n=1,143) were SGA, 8.2% (n=738) were LGA, and 79.1% (n=7,102) were AGA. Pregnant individuals living in the highest ADI quartile (quartile 4, 17.8%) had an increased odds of delivering an SGA neonate compared with those in the lowest referent quartile (quartile 1, 12.4%) (adjusted odds ratio [aOR] 1.32, 95% CI 1.09-1.55). Pregnant individuals living in higher ADI quartiles (quartile 2, 10.3%; quartile 3, 10.7%; quartile 4, 9.2%) had an increased odds of delivering an LGA neonate compared with those in the lowest referent quartile (quartile 1, 8.2%) (aOR: quartile 2, 1.40, 95% CI 1.19-1.61; quartile 3, 1.35, 95% CI 1.09-1.61; quartile 4, 1.47, 95% CI 1.20-1.74). CONCLUSION: Neonates of nulliparous pregnant individuals living in U.S. neighborhoods with higher area deprivation were more likely to have abnormal birth weights at both extremes.

A Prediction Model for Severe Maternal Morbidity and Mortality After Delivery Hospitalization.

OBJECTIVE: To develop a risk stratification model for severe maternal morbidity (SMM) or mortality after the delivery hospitalization based on information available at the time of hospital discharge. METHODS: This population-based cohort study included all pregnancies among Ohio residents with Medicaid insurance from 2012 to 2017. Pregnant individuals were identified using linked live birth and fetal death records and Medicaid claims data. Inclusion was restricted to those with continuous postpartum Medicaid enrollment and delivery at 20 or more weeks of gestation. The primary outcome of the study was SMM or mortality after the delivery hospitalization and was assessed up to 42 days postpartum and up to 1 year postpartum separately. Variables considered for the model included patient-, obstetric health care professional-, and system-level data available in vital records or Medicaid claims data. Parsimonious models were created with logistic regression and were internally validated. Receiver operating characteristic curves were used to evaluate model performance, and model calibration was assessed. RESULTS: There were 343,842 pregnant individuals who met inclusion criteria with continuous Medicaid enrollment through 42 days postpartum and 287,513 with continuous enrollment through 1 year. After delivery hospitalization discharge, the incidence of SMM or mortality was 140.5 per 10,000 pregnancies through 42 days of delivery and 330.7 per 10,000 pregnancies through 1 year postpartum. The final model predicting SMM or mortality through 42 days postpartum included maternal prepregnancy body mass index, age, gestational age at delivery, mode of delivery, chorioamnionitis, and maternal diagnosis of cardiac disease, preeclampsia or gestational hypertension, or a mental health condition. Similar variables were included in the model predicting SMM or mortality through 365 days with chronic hypertension, pregestational diabetes, and illicit substance use added and chorioamnionitis removed. Both models demonstrated moderate prediction (area under the curve [AUC] 0.77, 95% CI 0.76-0.78 for 42-day model; AUC 0.72, 95% CI 0.71-0.73 for the 1-year model) and good calibration. CONCLUSION: A prediction model for SMM or mortality up to 1 year postpartum was created and internally validated with information available to health care professionals at the time of hospital discharge. The utility of this model for patient counseling and strategies to optimize postpartum care for high-risk individuals will require further evaluation.

Association between community-level political affiliation and peripartum vaccination.

BACKGROUND: Political affiliation has been associated with vaccine uptake, but whether this association holds in pregnancy, when individuals are recommended to receive multiple vaccinations, remains to be studied. OBJECTIVE: This study aimed to examine the association between community-level political affiliation and vaccinations for tetanus, diphtheria, and pertussis; influenza; and COVID-19 in pregnant and postpartum individuals. STUDY DESIGN: A survey was conducted about tetanus, diphtheria, and pertussis and influenza vaccinations in early 2021, with a follow-up survey of COVID-19 vaccination among the same individuals at a tertiary care academic medical center in the Midwest. Geocoded residential addresses were linked at the census tract to the Environmental Systems Research Institute 2021 Market Potential Index, which ranks a community in comparison to the US national average. The exposure for this analysis was community-level political affiliation, defined by the Market Potential Index as very conservative, somewhat conservative, centrist, somewhat liberal, and very liberal (reference). The outcomes were self-reported vaccinations for tetanus, diphtheria, and pertussis; influenza; and COVID-19 in the peripartum period. Modified Poisson regression was used and adjusted for age, employment, trimester at assessment, and medical comorbidities. RESULTS: Of 438 assessed individuals, 37% lived in a community characterized by very liberal political affiliation, 11% as somewhat liberal, 18% as centrist, 12% as somewhat conservative, and 21% as very conservative. Overall, 72% and 58% of individuals reported receiving tetanus, diphtheria, and pertussis and influenza vaccinations, respectively. Of the 279 individuals who responded to the follow-up survey, 53% reported receiving COVID-19 vaccination. Individuals living in a community characterized by very conservative political affiliation were less likely to report vaccinations for tetanus, diphtheria, and pertussis (64% vs 72%; adjusted risk ratio, 0.83; 95% confidence interval, 0.69-0.99); influenza (49% vs 58%; adjusted risk ratio, 0.79; 95% confidence interval, 0.62-1.00); and COVID-19 (35% vs 53%; adjusted risk ratio, 0.65; 95% confidence interval, 0.44-0.96) than those in a community characterized by very liberal political affiliation. Individuals living in a community characterized by centrist political affiliation were less likely to report vaccinations for tetanus, diphtheria, and pertussis (63% vs 72%; adjusted risk ratio, 0.82; 95% confidence interval, 0.68-0.99) and influenza (44% vs 58%; adjusted risk ratio, 0.70; 95% confidence interval, 0.54-0.92) than those in a community characterized by very liberal political affiliation. CONCLUSION: Compared with pregnant and postpartum individuals living in communities characterized by very liberal political beliefs, those living in communities characterized by very conservative political beliefs were less likely to report vaccinations for tetanus, diphtheria, and pertussis; influenza; and COVID-19, and those in communities characterized by centrist political beliefs were less likely to report vaccinations for tetanus, diphtheria, and pertussis and influenza. Increasing vaccine uptake in the peripartum period may need to consider engaging an individual's broader sociopolitical milieu.

Association of Neighborhood Socioeconomic Disadvantage and Postpartum Readmission.

We assessed whether neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), was associated with an increased risk of postpartum readmission. This is a secondary analysis from nuMoM2b (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be), a prospective cohort of nulliparous pregnant individuals from 2010 to 2013. The exposure was the ADI in quartiles, and the outcome was postpartum readmission; Poisson regression was used. Among 9,061 assessed individuals, 154 (1.7%) were readmitted postpartum within 2 weeks of delivery. Individuals living with the most neighborhood deprivation (ADI quartile 4) were at increased risk of postpartum readmission compared with those living with the lowest neighborhood deprivation (ADI quartile 1) (adjusted risk ratio 1.80, 95% CI 1.11-2.93). Measures of community-level adverse social determinants of health, such as the ADI, may inform postpartum care after delivery discharge.

One-step endpoint RT-PCR assays for confirmatory body fluid identification.

Messenger RNA (mRNA) expression analysis is increasingly used in casework, in the form of multiplex two-step reverse transcriptase PCR (RT-PCR) assays such as CellTyper 2 (CT2), developed by the Institute of Environmental Science and Research (ESR). This paper presents the development of a one-step endpoint RT-PCR workflow to improve the efficiency and precision of confirmatory body fluid identification. A comparative study of commercial one-step RT-PCR kits was undertaken, with the highest performing kit (RNA to CT) retained for further development. Sensitivity, specificity across body fluids, and precision was assessed simultaneously using receiver operating characteristic (ROC) curves. An optimal RFU cut-off value which maximised sensitivity and specificity was determined for each marker. All assays performed significantly better when compared to the equivalent of a completely uninformative test (area under the curve of 0.5) for their target body fluid. Sensitivity varied between different donors, but the limit of detectionss were estimated as follows; saliva markers HTN3: 1 in 100 dilution of a whole buccal swab and FDCSP: 1 in 10 dilution of a whole buccal swab, circulatory blood marker SLC4A1: 0.1 µL blood, menstrual fluid markers STC1, MMP10: 1 in 10 dilution of a whole menstrual swab, spermatozoa markers PRM1, TNP1: 0.1 µL semen, seminal fluid markers KLK2: 0.1 µL semen and MSMB: 0.01 µL semen, and vaginal material marker CYP2B7P: 1 in 1000 dilution of a whole vaginal swab. The method successfully detected most body fluids in a range of simple mixtures with 77 out of 80 markers observed when expected. The developed one-step endpoint RT-PCR assays lack the sensitivity and precision required for forensic casework and provide little benefit when compared with standard two-step endpoint RT-PCR, other than minimal time and cost savings, similar sensitivity, and improved precision for some markers. As both methods utilise endpoint RT-PCR, they have the same narrow linear dynamic range. The novel method is therefore similarly susceptible to varied RNA input, a major disadvantage of this approach. The limited sensitivity and precision consistently encountered with endpoint RT-PCR - regardless of cDNA synthesis strategy - could be addressed by a real-time PCR approach.

Association between Diabetes in Pregnancy and Shoulder Dystocia by Infant Birth Weight in an Era of Cesarean Delivery for Suspected Macrosomia.

OBJECTIVE: We estimated the association between diabetes and shoulder dystocia by infant birth weight subgroups (<4,000, 4,000-4,500, and >4,500 g) in an era of prophylactic cesarean delivery for suspected macrosomia. STUDY DESIGN: A secondary analysis from the National Institute of Child Health and Human Development U.S. Consortium for Safe Labor of deliveries at ≥24 weeks with a nonanomalous, singleton fetus with vertex presentation undergoing a trial of labor. The exposure was either pregestational or gestational diabetes compared with no diabetes. The primary outcome was shoulder dystocia and secondarily, birth trauma with a shoulder dystocia. We calculated adjusted risk ratios (aRRs) with modified Poison's regression between diabetes and shoulder dystocia and the number needed to treat (NNT) to prevent a shoulder dystocia with cesarean delivery. RESULTS: Among 167,589 assessed deliveries (6% with diabetes), pregnant individuals with diabetes had a higher risk of shoulder dystocia at birth weight <4,000 g (aRR: 1.95; 95% confidence interval [CI]: 1.66-2.31) and 4,000 to 4,500 g (aRR: 1.57; 95% CI: 1.24-1.99), albeit not significantly at birth weight >4,500 g (aRR: 1.26; 95% CI: 0.87-1.82) versus those without diabetes. The risk of birth trauma with shoulder dystocia was higher with diabetes (aRR: 2.29; 95% CI: 1.54-3.45). The NNT to prevent a shoulder dystocia with diabetes was 11 and 6 at ≥4,000 and >4,500 g, versus without diabetes, 17 and 8 at ≥4,000 and >4,500 g, respectively. CONCLUSION: Diabetes increased the risk of shoulder dystocia, even at lower birth weight thresholds than at which cesarean delivery is currently offered. Guidelines providing the option of cesarean delivery for suspected macrosomia may have decreased the risk of shoulder dystocia at higher birth weights. KEY POINTS: · >Diabetes increased the risk of shoulder dystocia, even at lower birth weight thresholds than at which cesarean delivery is currently offered.. · Cesarean delivery for suspected macrosomia may have decreased the risk of shoulder dystocia at higher birth weights.. · These findings can inform delivery planning for providers and pregnant individuals with diabetes..

Association of community walkability and glycemic control among pregnant individuals with pregestational diabetes mellitus.

BACKGROUND: Neighborhood walkability is a community-level social determinant of health that measures whether people who live in a neighborhood walk as a mode of transportation. Whether neighborhood walkability is associated with glycemic control among pregnant individuals with pregestational diabetes remains to be defined. OBJECTIVE: This study aimed to evaluate the association between community-level neighborhood walkability and glycemic control as measured by hemoglobin A1c (A1C) among pregnant individuals with pregestational diabetes. STUDY DESIGN: This was a retrospective analysis of pregnant individuals with pregestational diabetes enrolled in an integrated prenatal and diabetes care program from 2012 to 2016. Participant addresses were geocoded and linked at the census-tract level. The exposure was community walkability, defined by the US Environmental Protection Agency National Walkability Index (score range 1-20), which incorporates intersection density (design), proximity to transit stops (distance), and a mix of employment and household types (diversity). Individuals from neighborhoods that were the most walkable (score, 15.26-20.0) were compared with those from neighborhoods that were less walkable (score <15.26), as defined per national Environmental Protection Agency recommendations. The outcomes were glycemic control, including A1C <6.0% and <6.5%, measured both in early and late pregnancy, and mean change in A1C across pregnancy. Modified Poisson regression and linear regression were used, respectively, and adjusted for maternal age, body mass index at delivery, parity, race and ethnicity as a social determinant of health, insurance status, baseline A1C, gestational age at A1C measurement in early and late pregnancy, and diabetes type. RESULTS: Among 417 pregnant individuals (33% type 1, 67% type 2 diabetes mellitus), 10% were living in the most walkable communities. All 417 individuals underwent A1C assessment in early pregnancy (median gestational age, 9.7 weeks; interquartile range, 7.4-14.1), and 376 underwent another A1C assessment in late pregnancy (median gestational age, 30.4 weeks; interquartile range, 27.8-33.6). Pregnant individuals living in the most walkable communities were more likely to have an A1C <6.0% in early pregnancy (15% vs 8%; adjusted relative risk, 1.46; 95% confidence interval, 1.00-2.16), and an A1C <6.5% in late pregnancy compared with those living in less walkable communities (13% vs 9%; adjusted relative risk, 1.33; 95% confidence interval, 1.08-1.63). For individuals living in the most walkable communities, the median A1C was 7.5 (interquartile range, 6.0-9.4) in early pregnancy and 5.9 (interquartile range, 5.4-6.4) in late pregnancy. For those living in less walkable communities, the median A1C was 7.3 (interquartile range, 6.2-9.2) in early pregnancy and 6.2 (interquartile range, 5.6-7.1) in late pregnancy. Change in A1C across pregnancy was not associated with walkability. CONCLUSION: Pregnant individuals with pregestational diabetes mellitus living in more walkable communities had better glycemic control in both early and late pregnancy. Whether community-level interventions to enhance neighborhood walkability can improve glycemic control in pregnancy requires further study.

A Comparison of Vaginal and Intramuscular Progesterone for the Prevention of Recurrent Preterm Birth.

OBJECTIVE: This study aimed to examine whether vaginal progesterone is noninferior to 17-α hydroxyprogesterone caproate (17OHP-C) in the prevention of recurrent preterm birth (PTB). STUDY DESIGN: This retrospective cohort study included singleton pregnancies among women with a history of spontaneous PTB who received prenatal care at a single tertiary center from 2011 to 2016. Pregnancies were excluded if progesterone was not initiated prior to 24 weeks or the fetus had a major congenital anomaly. The primary outcome was PTB <37 weeks. A priori, noninferiority was to be established if the upper bound of the adjusted two-sided 90% confidence interval (CI) for the difference in PTB fell below 9%. Inverse probability of treatment weighting (IPTW) was used to carefully control for confounding associated with choice of treatment and PTB. Adjusted differences in PTB proportions were estimated via IPTW regression, with standard errors adjustment for multiple pregnancies per woman. Secondary outcomes included PTB <34 and <28 weeks, spontaneous PTB, neonatal intensive care unit admission, and gestational age at delivery. RESULTS: Among 858 pregnancies, 41% (n = 353) received vaginal progesterone and 59% (n = 505) were given 17OHP-C. Vaginal progesterone use was more common later in the study period, and among women who established prenatal care later, had prior PTBs at later gestational ages, and whose race/ethnicity was neither non-Hispanic white nor non-Hispanic Black. Vaginal progesterone did not meet noninferiority criteria compared with 17-OHPC in examining PTB <37 weeks, with an IPTW adjusted difference of 3.4% (90% CI: -3.5, 10.3). For secondary outcomes, IPTW adjusted differences between treatment groups were generally small and CIs were wide. CONCLUSION: We could not conclude noninferiority of vaginal progesterone to 17OHP-C; however, women and providers may be willing to accept a larger difference (>9%) when considering the cost and availability of vaginal progesterone versus 17OHP-C. A well-designed randomized trial is needed. KEY POINTS: · Vaginal progesterone is not noninferior to 17OHP-C.. · PTB risk may be 10% higher with vaginal progesterone.. · Associations did not differ based on obesity status..

Access to rideshare and satisfaction, prenatal healthcare utilisation, and preterm delivery among pregnant Medicaid recipients: A randomised controlled trial.

BACKGROUND: Lack of access to reliable transportation is a barrier to timely receipt of prenatal care. OBJECTIVES: We aimed to assess the impact of modernisation of non-emergency medical transportation services on patient satisfaction, prenatal care utilisation, and preterm delivery. METHODS: We conducted a randomised controlled pilot trial among pregnant Medicaid recipients in Franklin County, Ohio, a county with high rates of infant mortality. Individuals were randomly assigned to usual non-emergency medical transportation services or enhanced smart transportation (EST) services (i.e. on-demand transportation with access to a mobile application and trips to the grocery store, food bank or pharmacy). The primary outcome was satisfaction with transportation services. Secondary outcomes included adequacy of prenatal care utilisation (APNCU) and preterm delivery <37 weeks. RESULTS: Women were screened between 31 May 2019 and 30 June 2020, with 143 being eligible and enrolling. Evidence of increased satisfaction with transportation was observed in the intervention group compared to usual transportation, with 83.8% and 68.8% reporting being somewhat satisfied or very satisfied respectively (risk difference [RD] 14.8%, 95% confidence interval [CI] 0.5, 29.1). There were no meaningful differences in APNCU or preterm delivery between groups (APNCU: RD 2.1%, 95% CI -14.0, 18.2 and preterm delivery: RD -3.9%, 95% CI -17.0, 9.3). CONCLUSIONS: We found evidence of increased transportation satisfaction among pregnant women randomly assigned to EST versus usual transportation. It remains unclear whether the provision of EST increases prenatal care utilisation or decreases preterm delivery.

Association of community-level food insecurity and glycemic control among pregnant individuals with pregestational diabetes.

AIM: To evaluate whether pregnant individuals with pregestational diabetes who live in a food-insecure community have worse glycemic control compared to those who do not live in a food-insecure community. METHODS: A retrospective analysis of pregnant individuals with pregestational diabetes enrolled in a multidisciplinary prenatal and diabetes care program. The exposure was community-level food insecurity per the Food Access Research Atlas. The outcomes were hemoglobin A1c (A1c) < 6.0 % in early and late pregnancy, and an absolute decrease in A1c ≥ 2.0 % and mean change in A1c across pregnancy. RESULTS: Among 418 assessed pregnant individuals with pregestational diabetes, those living in a food-insecure community were less likely to have an A1c < 6.0 % in early pregnancy compared to those living in a community without food insecurity [16 % vs. 30 %; adjusted risk ratio (aRR): 0.55; 95 % CI: 0.33-0.92]. Individuals living in a food-insecure community were more likely to achieve a decrease in A1c ≥ 2.0 % [35 % vs. 21 %; aRR: 1.55; 95 % CI: 1.06-2.28] and a larger mean decrease in A1c across pregnancy [mean: 1.46 vs. 1.00; adjusted beta: 0.47; 95 % CI: 0.06-0.87)]. CONCLUSIONS: Pregnant individuals with pregestational diabetes who lived in a food-insecure community were less likely to enter pregnancy with glycemic control, but were more likely to have a reduction in A1c and achieve similar A1c status compared to those who lived in a community without food insecurity. Whether interventions that address food insecurity improve glycemic control and consequent perinatal outcomes remains to be studied.

Association between social vulnerability and COVID-19 vaccination hesitancy and vaccination in pregnant and postpartum individuals.

OBJECTIVE: To evaluate the association of community-level social vulnerability with COVID-19 vaccine hesitancy and vaccination among pregnant and postpartum individuals. METHODS: Prospective cohort study assessing COVID-19 vaccine hesitancy among pregnant and postpartum individuals. We performed a baseline survey on COVID-19 vaccine hesitancy from 03/22/21 to 04/02/21, and a follow-up survey on COVD-19 vaccination status 3- to 6-months later. The primary exposure was the Centers for Disease Control and Prevention SVI (Social Vulnerability Index), measured in quartiles. Higher SVI quartiles indicated greater community-level social vulnerability with the lowest quartile (quartile 1) as the referent group. The primary outcome was COVID-19 vaccine hesitancy on the baseline survey (uncertainty or refusal of the vaccine), and the secondary outcome was self-report of not being vaccinated (unvaccinated) for COVID-19 on the follow-up survey. RESULTS: Of 456 assessed individuals, 46% reported COVID-19 vaccine hesitancy on the baseline survey; and of 290 individuals (290/456, 64%) who completed the follow-up survey, 48% (140/290) were unvaccinated. The frequency of baseline vaccine hesitancy ranged from 25% in quartile 1 (low SVI) to 68% in quartile 4 (high SVI), and being unvaccinated at follow-up ranged from 29% in quartile 1 to 77% in quartile 4. As social vulnerability increased, the risk of COVID-19 vaccine hesitancy at baseline increased (quartile 2 aRR (adjusted relative risk): 1.46; 95% CI:0.98 to 2.19; quartile 3 aRR: 1.86; 95% CI:1.28 to 2.71; and quartile 4 aRR: 2.24; 95% CI:1.56 to 3.21), as did the risk of being unvaccinated at follow-up (quartile 2 aRR: 1.00; 95% CI:0.66 to 1.51; quartile 3 aRR: 1.68; 95% CI:1.17 to 2.41; and quartile 4 aRR: 1.82; 95% CI:1.30 to 2.56). CONCLUSIONS: Pregnant and postpartum individuals living in an area with higher community-level social vulnerability were more likely to report COVID-19 vaccine hesitancy and subsequently to be unvaccinated at follow-up.