Pan-Enterovirus Characterization Reveals Cryptic Circulation of Clinically Relevant Subtypes in Arizona Wastewater.

Background: Most seasonally circulating enteroviruses result in asymptomatic or mildly symptomatic infections. In rare cases, however, infection with some subtypes can result in paralysis or death. Of the 300 subtypes known, only poliovirus is reportable, limiting our understanding of the distribution of other enteroviruses that can cause clinical disease. Objective: The overarching objectives of this study were to: 1) describe the distribution of enteroviruses in Arizona during the late summer and fall of 2022, the time of year when they are thought to be most abundant, and 2) demonstrate the utility of viral pan-assay approaches for semi-agnostic discovery that can be followed up by more targeted assays and phylogenomics. Methods: This study utilizes pooled nasal samples collected from school-aged children and long-term care facility residents, and wastewater from multiple locations in Arizona during July-October of 2022. We used PCR to amplify and sequence a region common to all enteroviruses, followed by species-level bioinformatic characterization using the QIIME 2 platform. For Enterovirus-D68 (EV-D68), detection was carried out using RT-qPCR, followed by confirmation using near-complete whole EV-D68 genome sequencing using a newly designed tiled amplicon approach. Results: In the late summer and early fall of 2022, multiple enterovirus species were identified in Arizona wastewater, with Coxsackievirus A6, EV-D68, and Coxsackievirus A19 composing 86% of the characterized reads sequenced. While EV-D68 was not identified in pooled human nasal samples, and the only reported acute flaccid myelitis case in Arizona did not test positive for the virus, an in-depth analysis of EV-D68 in wastewater revealed that the virus was circulating from August through mid-October. A phylogenetic analysis on this relatively limited dataset revealed just a few importations into the state, with a single clade indicating local circulation. Significance: This study further supports the utility of wastewater-based epidemiology to identify potential public health threats. Our further investigations into EV-D68 shows how these data might help inform healthcare diagnoses for children presenting with concerning neurological symptoms.

PTHrP intracrine actions divergently influence breast cancer growth through p27 and LIFR.

The role of parathyroid hormone (PTH)-related protein (PTHrP) in breast cancer remains controversial, with reports of PTHrP inhibiting or promoting primary tumor growth in preclinical studies. Here, we provide insight into these conflicting findings by assessing the role of specific biological domains of PTHrP in tumor progression through stable expression of PTHrP (-36-139aa) or truncated forms with deletion of the nuclear localization sequence (NLS) alone or in combination with the C-terminus. Although the full-length PTHrP molecule (-36-139aa) did not alter tumorigenesis, PTHrP lacking the NLS alone accelerated primary tumor growth by downregulating p27, while PTHrP lacking the NLS and C-terminus repressed tumor growth through p27 induction driven by the tumor suppressor leukemia inhibitory factor receptor (LIFR). Induction of p27 by PTHrP lacking the NLS and C-terminus persisted in bone disseminated cells, but did not prevent metastatic outgrowth, in contrast to the primary tumor site. These data suggest that the PTHrP NLS functions as a tumor suppressor, while the PTHrP C-terminus may act as an oncogenic switch to promote tumor progression through differential regulation of p27 signaling.

Development and multicentre validation of the FLEX score: personalised preoperative surgical risk prediction using attention-based ICD-10 and Current Procedural Terminology set embeddings.

BACKGROUND: Preoperative knowledge of surgical risks can improve perioperative care and patient outcomes. However, assessments requiring clinician examination of patients or manual chart review can be too burdensome for routine use. METHODS: We conducted a multicentre retrospective study of 243 479 adult noncardiac surgical patients at four hospitals within the Mass General Brigham (MGB) system in the USA. We developed a machine learning method using routinely collected coding and patient characteristics data from the electronic health record which predicts 30-day mortality, 30-day readmission, discharge to long-term care, and hospital length of stay. RESULTS: Our method, the Flexible Surgical Set Embedding (FLEX) score, achieved state-of-the-art performance to identify comorbidities that significantly contribute to the risk of each adverse outcome. The contributions of comorbidities are weighted based on patient-specific context, yielding personalised risk predictions. Understanding the significant drivers of risk of adverse outcomes for each patient can inform clinicians of potential targets for intervention. CONCLUSIONS: FLEX utilises information from a wider range of medical diagnostic and procedural codes than previously possible and can adapt to different coding practices to accurately predict adverse postoperative outcomes.

Black Pregnancy-Related Mortality in the United States.

The maternal mortality rate for non-Hispanic Black birthing people is 69.9 deaths per 100,000 live births compared with 26.6 deaths per 100,000 live births for non-Hispanic White birthing people. Black pregnancy-related mortality has been underrepresented in research and the media; however, there is growing literature on the role of racism in health disparities. Those who provide care to Black patients should increase their understanding of racism's impact and take steps to center the experiences and needs of Black birthing people.

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.

Development and prospective validation of postoperative pain prediction from preoperative EHR data using attention-based set embeddings.

Preoperative knowledge of expected postoperative pain can help guide perioperative pain management and focus interventions on patients with the greatest risk of acute pain. However, current methods for predicting postoperative pain require patient and clinician input or laborious manual chart review and often do not achieve sufficient performance. We use routinely collected electronic health record data from a multicenter dataset of 234,274 adult non-cardiac surgical patients to develop a machine learning method which predicts maximum pain scores on the day of surgery and four subsequent days and validate this method in a prospective cohort. Our method, POPS, is fully automated and relies only on data available prior to surgery, allowing application in all patients scheduled for or considering surgery. Here we report that POPS achieves state-of-the-art performance and outperforms clinician predictions on all postoperative days when predicting maximum pain on the 0-10 NRS in prospective validation, though with degraded calibration. POPS is interpretable, identifying comorbidities that significantly contribute to postoperative pain based on patient-specific context, which can assist clinicians in mitigating cases of acute pain.

Standardized Order Sets Do Not Eliminate Racial or Ethnic Inequities in Postpartum Pain Management.

Objective: To quantify the extent to which a standardized pain management order set reduced racial and ethnic inequities in post-cesarean pain evaluation and management. Methods: We conducted a retrospective cohort study to quantify racial and ethnic differences in pain evaluation and management before (July 2014-June 2016) and after implementation of a standardized post-cesarean order set (March 2017-February 2018). Electronic medical records were queried for pain scores >7/10, number of pain assessments, and opioid, nonsteroidal anti-inflammatory drug (NSAID), and acetaminophen doses. Outcomes were grouped into 0 to <24 and 24-48 h postpartum, and stratified by race/ethnicity (Hispanic, non-Hispanic Black [NHB], non-Hispanic White [NHW], Asian, and other), as documented in the electronic health record. Analyses included logistic regression for the categorical outcome of pain score >7 (severe pain), and linear regression, with propensity score adjustment. Main effect and interaction terms were used to calculate the difference-in-difference in pain process and outcome measures between the baseline and follow-up periods. Results: After order set implementation (N=888), severe pain remained more common among NHB patients (% pain scores >7 NHW vs. NHB 0 to <24 h: 22% vs. 33%, p=0.003; 24-48 h: 26% vs. 40%, p<0.001). Among all patients, pain management processes changed after implementation of the order set, with overall fewer assessments, less Opioids, and more nonopioid analgesics. However, racial and ethnic inequities in a number of assessments and in treatment were unchanged (all p for interaction >0.05), with the exception of a modest increase in NSAID doses 24-48 h postpartum for Hispanic patients. Conclusion: A standardized pain management order set reduced overall postpartum opioid use, but did not reduce racial and ethnic disparities in pain evaluation and management. Future work should investigate racial equity-focused education and interventions designed to eliminate disparities in pain management.

Postpartum medication for opioid use disorder outcomes associated with prenatal treatment and neighborhood-level social determinants.

BACKGROUND: Opioid use disorder is a leading cause of death through the year postpartum. OBJECTIVE: This study aimed to identify the association of neighborhood-level social determinants of health and prenatal opioid use disorder treatment receipt with the outcomes of medication treatment for opioid use disorder through the year postpartum among a cohort of birthing people. STUDY DESIGN: This was a population-based retrospective cohort study that used state Medicaid claims and enrollment data for the 1690 individuals who delivered a live infant between July 1, 2016 and December 31, 2020 and received medication for opioid use disorder at delivery. The primary exposure was the state Health Opportunity Index, a composite measure of social determinants of health linked at the census-tract level. Secondary exposures included comprehensiveness of opioid use disorder treatment and duration of medication treatment for opioid use disorder received prenatally. Outcomes included the duration and continuity of postpartum medication treatment for opioid use disorder, operationalized as the time from delivery to the discontinuation of medication treatment for opioid use disorder, and percentage of days covered by medication treatment for opioid use disorder within the 12 months after delivery, respectively. RESULTS: Within the study sample, 711 deliveries were to birthing people in the lowest state Health Opportunity Index tercile (indicating high burden of negative social determinants of health), 647 in the middle state Health Opportunity Index tercile, and 332 in the highest state Health Opportunity Index tercile. Using stepwise multivariable regression (Cox proportional hazards and negative binomial models) guided by a socioecological framework, prenatal receipt of more comprehensive opioid use disorder treatment and/or longer duration of prenatal medication treatment for opioid use disorder was associated with improved 1-year postpartum opioid use disorder treatment outcomes (duration and continuity of medication treatment for opioid use disorder). When the state Health Opportunity Index was added to the models, these significant associations remained stable, with the state Health Opportunity Index not demonstrating an association with the outcomes (duration hazard ratio, 1.39; 95% confidence interval, 0.551-3.512; continuity relative risk, 1.024; 95% confidence interval, 0.323-3.247). CONCLUSION: Targeted efforts at expanding access to and quality of evidence-based opioid use disorder treatments for reproductive-age people across the life course should be prioritized within the spectrum of work aimed at eradicating disparities in pregnancy-related mortality.

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.

Internalizing the COVID-19 pandemic: Gendered differences in youth mental health.

We review research on gendered patterns of internalizing behaviors in adolescents and emerging adults during the COVID-19 pandemic. We find that young women reported worse mental health than young men. Transgender and gender-diverse (TGD) youth are underrepresented in mental health research but often report the highest internalizing disorders of any gender group. Finally, we use intersectionality as a lens to acknowledge how gender and other social identities (e.g., race, socioeconomic position) impact mental health. Overall, this review points to gender as a meaningful social construct that is relevant for understanding young people's internalizing symptoms during the pandemic. We call attention to the structural factors underlying gender disparities and the need for intersectionality-informed approaches to work towards mental health equity.

Association of Intraoperative Opioid Administration With Postoperative Pain and Opioid Use.

Importance: Opioids administered to treat postsurgical pain are a major contributor to the opioid crisis, leading to chronic use in a considerable proportion of patients. Initiatives promoting opioid-free or opioid-sparing modalities of perioperative pain management have led to reduced opioid administration in the operating room, but this reduction could have unforeseen detrimental effects in terms of postoperative pain outcomes, as the relationship between intraoperative opioid usage and later opioid requirements is not well understood. Objective: To characterize the association between intraoperative opioid usage and postoperative pain and opioid requirements. Design, Setting, and Participants: This retrospective cohort study evaluated electronic health record data from a quaternary care academic medical center (Massachusetts General Hospital) for adult patients who underwent noncardiac surgery with general anesthesia from April 2016 to March 2020. Patients who underwent cesarean surgery, received regional anesthesia, received opioids other than fentanyl or hydromorphone, were admitted to the intensive care unit, or who died intraoperatively were excluded. Statistical models were fitted on the propensity weighted data set to characterize the effect of intraoperative opioid exposures on primary and secondary outcomes. Data were analyzed from December 2021 to October 2022. Exposures: Intraoperative fentanyl and intraoperative hydromorphone average effect site concentration estimated using pharmacokinetic/pharmacodynamic models. Main Outcomes and Measures: The primary study outcomes were the maximal pain score during the postanesthesia care unit (PACU) stay and the cumulative opioid dose, quantified in morphine milligram equivalents (MME), administered during the PACU stay. Medium- and long-term outcomes associated with pain and opioid dependence were also evaluated. Results: The study cohort included a total of 61 249 individuals undergoing surgery (mean [SD] age, 55.44 [17.08] years; 32 778 [53.5%] female). Increased intraoperative fentanyl and intraoperative hydromorphone were both associated with reduced maximum pain scores in the PACU. Both exposures were also associated with a reduced probability and reduced total dosage of opioid administration in the PACU. In particular, increased fentanyl administration was associated with lower frequency of uncontrolled pain; a decrease in new chronic pain diagnoses reported at 3 months; fewer opioid prescriptions at 30, 90, and 180 days; and decreased new persistent opioid use, without significant increases in adverse effects. Conclusions and Relevance: Contrary to prevailing trends, reduced opioid administration during surgery may have the unintended outcome of increasing postoperative pain and opioid consumption. Conversely, improvements in long-term outcomes might be achieved by optimizing opioid administration during surgery.

Age-Dependent Electroencephalogram Features in Infants Under Spinal Anesthesia Appear to Mirror Physiologic Sleep in the Developing Brain: A Prospective Observational Study.

BACKGROUND: Infants under spinal anesthesia appear to be sedated despite the absence of systemic sedative medications. In this prospective observational study, we investigated the electroencephalogram (EEG) of infants under spinal anesthesia and hypothesized that we would observe EEG features similar to those seen during sleep. METHODS: We computed the EEG power spectra and spectrograms of 34 infants undergoing infraumbilical surgeries under spinal anesthesia (median age 11.5 weeks postmenstrual age, range 38-65 weeks postmenstrual age). Spectrograms were visually scored for episodes of EEG discontinuity or spindle activity. We characterized the relationship between EEG discontinuity or spindles and gestational age, postmenstrual age, or chronological age using logistic regression analyses. RESULTS: The predominant EEG patterns observed in infants under spinal anesthesia were slow oscillations, spindles, and EEG discontinuities. The presence of spindles, observed starting at about 49 weeks postmenstrual age, was best described by postmenstrual age ( P =.002) and was more likely with increasing postmenstrual age. The presence of EEG discontinuities, best described by gestational age ( P = .015), was more likely with decreasing gestational age. These age-related changes in the presence of spindles and EEG discontinuities in infants under spinal anesthesia generally corresponded to developmental changes in the sleep EEG. CONCLUSIONS: This work illustrates 2 separate key age-dependent transitions in EEG dynamics during infant spinal anesthesia that may reflect the maturation of underlying brain circuits: (1) diminishing discontinuities with increasing gestational age and (2) the appearance of spindles with increasing postmenstrual age. The similarity of these age-dependent transitions under spinal anesthesia with transitions in the developing brain during physiological sleep supports a sleep-related mechanism for the apparent sedation observed during infant spinal anesthesia.

Temporal dynamics of the cecal and litter microbiome of chickens raised in two separate broiler houses.

In this study, we investigated the dynamics of the ceca and litter microbiome of chickens from post-hatch through pre-harvest. To achieve this, six hundred one-day old Cobb 500 broiler chicks were raised on floor pens for 49 days in two separate houses. We performed short-read and full-length sequencing of the bacterial 16S rRNA gene present in the meconium and in cecal and litter samples collected over the duration of the study. In addition, we determined the antimicrobial resistance (AMR) phenotype of Escherichia coli and Enterococcus spp. isolated from the meconium and the ceca of 49-day old chickens. We monitored the relative humidity, temperature, and ammonia in each house daily and the pH and moisture of litter samples weekly. The overall microbial community structure of the ceca and litter consistently changed throughout the course of the grow-out and correlated with some of the environmental parameters measured (p < 0.05). We found that the ceca and litter microbiome were similar in the two houses at the beginning of the experiment, but over time, the microbial community separated and differed between the houses. When we compared the environmental parameters in the two houses, we found no significant differences in the first half of the growth cycle (day 0-21), but morning temperature, morning humidity, and ammonia significantly differed (p < 0.05) between the two houses from day 22-49. Lastly, the prevalence of AMR in cecal E. coli isolates differed from meconium isolates (p < 0.001), while the AMR phenotype of cecal Enterococcus isolates differed between houses (p < 0.05).

Maternal Cardiovascular Disease After Pre-Eclampsia and Gestational Hypertension: A Narrative Review.

Previous literature has highlighted that women who have a pregnancy affected by gestational hypertension or preeclampsia are at higher risk of cardiovascular disease (CVD) in later life. However, CVD is a composite of multiple outcomes, including coronary heart disease, heart failure, and stroke, and the risk of both CVD and hypertensive disorders of pregnancy varies by the population studied. We conducted a narrative review of the risk of cardiovascular outcomes for women with prior gestational hypertension and pre-eclampsia. Previous literature is summarized by country and ethnicity, with a higher risk of CVD and coronary heart disease observed after gestational hypertension and a higher risk of CVD, coronary heart disease and heart failure observed after pre-eclampsia in most of the populations studied. Only one study was identified in a low- or middle-income country, and the majority of studies were conducted in white or mixed ethnicity populations. We discuss potential interventions to mitigate cardiovascular risk for these women in different settings and highlight the need for a greater understanding of the epidemiology of CVD risk after gestational hypertension and pre-eclampsia outside of high-income, white populations.

CYP3A5 influences oral tacrolimus pharmacokinetics and timing of acute kidney injury following allogeneic hematopoietic stem cell transplantation.

Introduction: Polymorphisms in genes responsible for the metabolism and transport of tacrolimus have been demonstrated to influence clinical outcomes for patients following allogeneic hematologic stem cell transplant (allo-HSCT). However, the clinical impact of germline polymorphisms specifically for oral formulations of tacrolimus is not fully described. Methods: To investigate the clinical impact of genetic polymorphisms in CYP3A4, CYP3A5, and ABCB1 on oral tacrolimus pharmacokinetics and clinical outcomes, we prospectively enrolled 103 adult patients receiving oral tacrolimus for the prevention of graft-versus-host disease (GVHD) following allo-HSCT. Patients were followed in the inpatient and outpatient phase of care for the first 100 days of tacrolimus therapy. Patients were genotyped for CYP3A5 *3 (rs776746), CYP3A4 *1B (rs2740574), ABCB1 exon 12 (rs1128503), ABCB1 exon 21 (rs2032582), ABCB1 exon 26 (rs1045642). Results: Expression of CYP3A5 *1 was highly correlated with tacrolimus pharmacokinetics in the inpatient phase of care (p < 0.001) and throughout the entirety of the study period (p < 0.001). Additionally, Expression of CYP3A5 *1 was associated with decreased risk of developing AKI as an inpatient (p = 0.06). Variants in ABCB1 were not associated with tacrolimus pharmacokinetics in this study. We were unable to discern an independent effect of CYP3A4 *1B or *22 in this population. Conclusion: Expression of CYP3A5 *1 is highly influential on the pharmacokinetics and clinical outcomes for patients receiving oral tacrolimus as GVHD prophylaxis following allo-HSCT.

Allostatic Load and Adverse Pregnancy Outcomes.

OBJECTIVE: To assess the association between allostatic load, as an estimate of chronic stress, and adverse pregnancy outcomes. METHODS: This was a secondary analysis of nuMoM2b (Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be), a prospective observational cohort study. Our primary exposure was dichotomous high allostatic load in the first trimester, defined as 4 or more of 12 biomarkers in the "worst" quartile. The primary outcome was a composite adverse pregnancy outcome: hypertensive disorders of pregnancy (HDP), preterm birth, small for gestational age (SGA), and stillbirth. Secondary outcomes included components of the composite. Multivariable logistic regression was used to test the association between high allostatic load and adverse pregnancy outcomes, adjusted for potential confounders. Mediation and moderation analyses were conducted to assess the role of allostatic load along the causal pathway between racial disparities and adverse pregnancy outcomes. RESULTS: Among 4,266 individuals, 34.7% had a high allostatic load. Composite adverse pregnancy outcome occurred in 1,171 (27.5%): 14.0% HDP, 8.6% preterm birth (48.0% spontaneous and 52.2% indicated), 11.0% SGA, and 0.3% stillbirth. After adjustment for maternal age, gravidity, smoking, bleeding in the first trimester, and health insurance, high allostatic load was significantly associated with a composite adverse pregnancy outcome (adjusted odds ratio [aOR] 1.5, 95% CI 1.3, 1.7) and HDP (aOR 2.5, 95% CI 2.0-2.9), but not preterm birth or SGA. High allostatic load partially mediated the association between self-reported race and adverse pregnancy outcomes. The association between allostatic load and HDP differed by self-reported race, but not for a composite adverse pregnancy outcome, preterm birth, or SGA. CONCLUSION: High allostatic load in the first trimester is associated with adverse pregnancy outcomes, particularly HDP. Allostatic load was a partial mediator between race and adverse pregnancy outcomes. The association between allostatic load and HDP differed by self-reported race.

Opportunities, challenges, and contextual supports to promote enacting maturing during adolescence.

Conceptions of adolescent "storm and stress" may be tied to a developmental mismatch that exists between young people's need for meaningful roles and autonomy - which we refer to as a need for enacting maturity - and the lack of such opportunities in most adolescents' contexts. First, we summarize our previous work on enacting maturity, including a review of the key components, links to wellbeing, and the nuances and limitations of this construct. Next, we extend this work by considering how the ecological contexts (e.g., family, school, community) young people are embedded in and their various intersecting social positions and identities (e.g., race/ethnicity, gender, immigrant origin) influence their experiences with enacting maturity. In this section, we pose several key questions for developmental scientists around: (a) identifying a young person's desire for, and phenomenological processing of, their adult-like roles, (b) understanding how complex and unequal responses to physical maturation shape opportunities for enacting maturity, and (c) attending to disparities in curricular and extracurricular pathways to leadership, responsibility, and autonomy. Finally, we discuss spaces with high potential to support enacting maturity, including both specially designed programs (e.g., youth participatory action research, leadership programs) as well as routine, everyday opportunities (e.g., interactions with teachers, training for companies that employ youth). We offer two levers for supporting enacting maturity across both types of spaces: adult allies and responsive organizations. Looking to exemplary programs, innovative leaders, social media, and case studies, we re-imagine how adults and organizations can promote young people enacting maturing in ways that are safe, worthwhile, and equitable.

Increasing Diversity in Residency Training Programs.

Improving diversity in the healthcare workforce holds promise in improving the health outcomes of our diverse patient population. Attracting, recruiting, and retaining physicians from races and ethnicities that are historically underrepresented in medicine are vital in this effort. Increasing diversity at the graduate medical education level has the potential to positively reshape our physician personnel. In this editorial, we discuss the current state of diversity-oriented recruitment strategies for residency programs and present opportunities for future efforts.