Behavioral Health Integration on Inpatient Obstetric Units: Program Development, Strategies for Implementation, and Lessons Learned.

Perinatal mood and anxiety disorders and substance use disorders are the primary causes of maternal mortality in the postpartum period and represent major public health concerns. Despite this, these conditions remain undertreated. Behavioral health integration in outpatient obstetric settings is necessary but insufficient to meet the needs of all patients. Inpatient behavioral health integration represents a promising avenue for addressing gaps in care. Results from recent program development indicate that needs assessment, stakeholder backing, collaboration with existing programs, and adaptability are key factors in successful implementation.

Perinatal Psychopharmacology: Innovative Approaches to Care Delivery.

Perinatal mental health conditions are the most common complications of childbirth and have well-established enduring negative effects. Obstetric (Ob) clinicians care for patients with perinatal mental health conditions across a spectrum of acuity, severity, and complexity. Ob and psychiatric clinicians can collaborate to create a cohesive continuum of psychopharmacologic care for perinatal patients. This chapter provides an overall framework for Ob-psychiatric clinician collaboration with examples of innovation in care delivery.

Integrated Care for Pregnant and Parenting People With Substance Use.

Caring for pregnant people with substance use requires knowledge about specific substances used, treatment options, and an integrated, trauma-informed care team. This chapter will discuss crucial information for clinicians regarding evidence-based practice for screening, intervention, and ongoing support for pregnant people and their families impacted by substance use.

The Free Sign in morphea and other sclerosing disorders: A clue to the presence of early sclerosis?

BACKGROUND: The Floating Sign is a histopathologic clue to the diagnosis of autoimmune sclerosing skin disorders such as morphea and interstitial granulomatous dermatitis (IGD). On the other hand, the "free-floating" sign has been associated with neoplasms, for example, dermatofibroma and interstitial mycosis fungoides. Herein, we report the Free Sign in sclerosing skin disorders. METHODS: In a case-control study, we applied detailed histopathologic definitions of Floating Sign and Free Sign to assess their presence in morphea, IGD, and other sclerosing disorders. RESULTS: Free Sign was present in most cases of morphea (46/55, 84%) and IGD (7/13, 54%) but not necrobiosis lipoidica (NL) (6/14, 42.8%) or sclerodermoid graft versus host disease (SGVHD) (2/7, 28.5%). The sensitivity and specificity of Free Sign for morphea versus other disorders was 84% and 56%, respectively. Floating Sign was not identified in most cases: NL (3/14, 21.4%), SGVHD (1/7, 14.2%), morphea (5/55, 9%), IGD (1/13, 7.7%). The diagnostic sensitivity of Floating Sign in morphea was 9%. CONCLUSIONS: The Free Sign was present in most cases of morphea in our series and may represent a clue to the presence of evolving sclerosis. Free Sign may be seen in other sclerosing disorders. Technical artifact is a potential cause of a false-positive Free Sign.

Identifying Neural Signatures of Dopamine Signaling with Machine Learning.

The emergence of new tools to image neurotransmitters, neuromodulators, and neuropeptides has transformed our understanding of the role of neurochemistry in brain development and cognition, yet analysis of this new dimension of neurobiological information remains challenging. Here, we image dopamine modulation in striatal brain tissue slices with near-infrared catecholamine nanosensors (nIRCat) and implement machine learning to determine which features of dopamine modulation are unique to changes in stimulation strength, and to different neuroanatomical regions. We trained a support vector machine and a random forest classifier to decide whether the recordings were made from the dorsolateral striatum (DLS) versus the dorsomedial striatum (DMS) and find that machine learning is able to accurately distinguish dopamine release that occurs in DLS from that occurring in DMS in a manner unachievable with canonical statistical analysis. Furthermore, our analysis determines that dopamine modulatory signals including the number of unique dopamine release sites and peak dopamine released per stimulation event are most predictive of neuroanatomy. This is in light of integrated neuromodulator amount being the conventional metric used to monitor neuromodulation in animal studies. Lastly, our study finds that machine learning discrimination of different stimulation strengths or neuroanatomical regions is only possible in adult animals, suggesting a high degree of variability in dopamine modulatory kinetics during animal development. Our study highlights that machine learning could become a broadly utilized tool to differentiate between neuroanatomical regions or between neurotypical and disease states, with features not detectable by conventional statistical analysis.

Associations between adverse childhood experiences and obstetrical outcomes in a predominantly Black-identifying and low-income pregnant population.

BACKGROUND: Recent literature indicates that adverse childhood experiences have been associated with poor obstetrical outcomes, including pregnancy loss, preterm birth, and low birthweight. Several studies have been conducted in primarily self-identified White individuals who report middle to high income levels. Less is known about the impact of adverse childhood experiences on obstetrical outcomes in minority-identifying and low-income populations, who are known to experience a greater number of adverse childhood experiences and are at higher risk of maternal morbidity. OBJECTIVE: This study aimed to examine associations between adverse childhood experiences and a broad range of obstetrical outcomes among predominantly Black-identifying pregnant persons who have low income and live in an urban area. STUDY DESIGN: This is a single-center retrospective cohort study of pregnant persons referred to a mental healthcare manager because of elevated psychosocial risks identified by screening tools or provider concerns during the study period from April 2018 to May 2021. Pregnant persons aged <18 years and those who did not speak English were excluded. Patients completed validated mental and behavioral health screening tools including the Adverse Childhood Experiences Questionnaire. Medical charts were reviewed for obstetrical outcomes, including preterm birth, low birthweight, hypertensive disorders of pregnancy, gestational diabetes mellitus, chorioamnionitis, sexually transmitted infection, maternal group B streptococcus carrier status, type of delivery, and attendance of a postpartum visit. Associations between high (≥4) and very high (≥6) of 10 adverse childhood experience score and obstetrical outcomes were analyzed using bivariate analysis and multivariate logistic regression, adjusting for confounding factors (significant at P<.05 in bivariate analysis). RESULTS: Our cohort included 192 pregnant persons, of whom 176 (91.7%) self-identified as Black or African American and 181 (94.8%) had public insurance (used as a proxy for low income). Adverse childhood experience score ≥4 was reported by 91 (47.4%) individuals and score ≥6 by 50 (26%). On univariate analysis, adverse childhood experience score ≥4 was associated with preterm birth (odds ratio, 2.17; 95% confidence interval, 1.02-4.61). Adverse childhood experience score ≥6 was associated with hypertensive disorders of pregnancy (odds ratio, 2.09; 95% confidence interval, 1.05-4.15) and preterm birth (odds ratio, 2.29; 95% confidence interval, 1.05-4.96). After accounting for chronic hypertension, associations between adverse childhood experience score and obstetrical outcomes were no longer significant. CONCLUSION: Approximately half of the pregnant persons referred to a mental healthcare manager had a high adverse childhood experience score, underscoring the high burden of childhood trauma on populations facing long-standing systemic racism and barriers to healthcare access. High and very high adverse childhood experience score may be associated with chronic health conditions that predate pregnancy and can alter obstetrical outcomes. Obstetrical care providers have a unique opportunity to mitigate risk of associated poor health outcomes during preconception and prenatal care by screening for adverse childhood experiences.

Kidney Ultrasonography After First Febrile Urinary Tract Infection in Children: A Systematic Review and Meta-analysis.

Importance: Controversy exists on the clinical utility of kidney ultrasonography after first febrile urinary tract infection (UTI), and clinical practice guideline recommendations vary. Objective: To determine the prevalence of urinary tract abnormalities detected on kidney ultrasonography after the first febrile UTI in children. Data Sources: The MEDLINE, EMBASE, CINAHL, PsycINFO, and Cochrane Central Register of Controlled Trials databases were searched for articles published from January 1, 2000, to September 20, 2022. Study Selection: Studies of children with first febrile UTI reporting kidney ultrasonography findings. Data Extraction and Synthesis: Two reviewers independently screened titles, abstracts, and full texts for eligibility. Study characteristics and outcomes were extracted from each article. Data on the prevalence of kidney ultrasonography abnormalities were pooled using a random-effects model. Main Outcomes and Measures: The primary outcome was prevalence of urinary tract abnormalities and clinically important abnormalities (those that changed clinical management) detected on kidney ultrasonography. Secondary outcomes included the urinary tract abnormalities detected, surgical intervention, health care utilization, and parent-reported outcomes. Results: Twenty-nine studies were included, with a total of 9170 children. Of the 27 studies that reported participant sex, the median percentage of males was 60% (range, 11%-80%). The prevalence of abnormalities detected on renal ultrasonography was 22.1% (95% CI, 16.8-27.9; I2 = 98%; 29 studies, all ages) and 21.9% (95% CI, 14.7-30.1; I2 = 98%; 15 studies, age <24 months). The prevalence of clinically important abnormalities was 3.1% (95% CI, 0.3-8.1; I2 = 96%; 8 studies, all ages) and 4.5% (95% CI, 0.5-12.0; I2 = 97%; 5 studies, age <24 months). Study recruitment bias was associated with a higher prevalence of abnormalities. The most common findings detected were hydronephrosis, pelviectasis, and dilated ureter. Urinary tract obstruction was identified in 0.4% (95% CI, 0.1-0.8; I2 = 59%; 12 studies), and surgical intervention occurred in 1.4% (95% CI, 0.5-2.7; I2 = 85%; 13 studies). One study reported health care utilization. No study reported parent-reported outcomes. Conclusions and Relevance: Results suggest that 1 in 4 to 5 children with first febrile UTI will have a urinary tract abnormality detected on kidney ultrasonography and 1 in 32 will have an abnormality that changes clinical management. Given the considerable study heterogeneity and lack of comprehensive outcome measurement, well-designed prospective longitudinal studies are needed to fully evaluate the clinical utility of kidney ultrasonography after first febrile UTI.

Identifying Neural Signatures of Dopamine Signaling with Machine Learning.

The emergence of new tools to image neurotransmitters, neuromodulators, and neuropeptides has transformed our understanding of the role of neurochemistry in brain development and cognition, yet analysis of this new dimension of neurobiological information remains challenging. Here, we image dopamine modulation in striatal brain tissue slices with near infrared catecholamine nanosensors (nIRCat) and implement machine learning to determine which features of dopamine modulation are unique to changes in stimulation strength, and to different neuroanatomical regions. We trained a support vector machine and a random forest classifier to determine whether recordings were made from the dorsolateral striatum (DLS) versus the dorsomedial striatum (DMS) and find that machine learning is able to accurately distinguish dopamine release that occurs in DLS from that occurring in DMS in a manner unachievable with canonical statistical analysis. Furthermore, our analysis determines that dopamine modulatory signals including the number of unique dopamine release sites and peak dopamine released per stimulation event are most predictive of neuroanatomy yet note that integrated neuromodulator amount is the conventional metric currently used to monitor neuromodulation in animal studies. Lastly, our study finds that machine learning discrimination of different stimulation strengths or neuroanatomical regions is only possible in adult animals, suggesting a high degree of variability in dopamine modulatory kinetics during animal development. Our study highlights that machine learning could become a broadly-utilized tool to differentiate between neuroanatomical regions, or between neurotypical and disease states, with features not detectable by conventional statistical analysis.

Setting Common Standards for Reproductive Psychiatry Education: Effectiveness of the National Curriculum in Reproductive Psychiatry.

OBJECTIVE: The National Curriculum in Reproductive Psychiatry (NCRP) provides standardized education for psychiatry residency training programs. The authors hypothesized that residents' preparedness to treat reproductive psychiatric concerns and their medical knowledge would improve following teaching with the NCRP. METHODS: Pre- and post-assessments were administered to residents enrolled in two waves of pilot NCRP training (Early-Modules and All-Modules). Data were collected by individual survey, and pre- and post-responses matched via anonymous ID. Statistical analyses were conducted using R version 3.5.3 and included paired Student's t-tests and a chi-square test. RESULTS: Thirty-eight residents completed the Early-Modules survey and 16 the All-Modules survey. In both groups, there was significant improvement in preparedness to treat pregnant and postpartum women with mental illness (p<0.05). Scores on the 29-point knowledge test rose by 2.5 points in the Early-Modules group and 4.3 points in the All-Modules group (p<0.001 for both). In both cohorts, a majority of residents felt reproductive psychiatry was among the top three specialties needed to become competent independent adult psychiatrists. CONCLUSIONS: Classroom training with local faculty using a standardized curriculum is feasible and results in substantial and significant improvements in both feelings of preparedness and medical knowledge. Psychiatry trainees view training in reproductive psychiatry as an important and missing aspect of their education. Dissemination of a standardized curriculum may help to forge a path toward subspecialty certification for reproductive psychiatry, and can be used as a model for other specialties.

Grade 1 Internal Carotid Artery Blunt Cerebrovascular Injury Persistence Risks Stroke With Current Management: An EAST Multicenter Study.

BACKGROUND: Higher blunt cerebrovascular injury (BCVI) grade and lack of medical therapy are associated with stroke. Knowledge of stroke risk factors specific to individual grades may help tailor BCVI therapy to specific injury characteristics. METHODS: A post-hoc analysis of a 16 center, prospective, observational trial (2018-2020) was performed including grade 1 internal carotid artery (ICA) BCVI. Repeat imaging was considered the second imaging occurrence only. RESULTS: From 145 grade 1 ICA BCVI included, 8 (5.5%) suffered a stroke. Grade 1 ICA BCVI with stroke were more commonly treated with mixed anticoagulation and antiplatelet therapy (75.0% vs 9.6%, P <.001) and less commonly antiplatelet therapy (25.0% vs 82.5%, P = .001) compared to injuries without stroke. Of the 8 grade 1 ICA BCVI with stroke, 4 (50.0%) had stroke after medical therapy was started. In comparing injuries with resolution at repeat imaging to those without, stroke occurred in 7 (15.9%) injuries without resolution and 0 (0%) injuries with resolution (P = .005). At repeat imaging in grade 1 ICA BCVI with stroke, grade of injury was grade 1 in 2 injuries, grade 2 in 3 injuries, grade 3 in 1 injury, and grade 5 in one injury. DISCUSSION: While the stroke rate for grade 1 ICA BCVI is low overall, injury persistence appears to heighten stroke risk. Some strokes occurred despite initiation of medical therapy. Repeat imaging is needed in grade 1 ICA BCVI to evaluate for injury progression or resolution.

Trauma-Informed Care for Obstetric and Gynecologic Settings.

PURPOSE: Trauma is common among those seeking Ob-Gyn care and may have pervasive impact on obstetrical and gynecological health, social functioning, and healthcare engagement. While guidelines exist on the detection and treatment of perinatal mood and anxiety disorders within Ob-Gyn care, the role of Ob-gyn clinicians in identifying and addressing patients' traumatic experiences and related symptoms is less clearly delineated. This manuscript provides an overview of trauma-related symptoms in the context of Ob-Gyn care and practical guidance of clinicians aiming to improve their detection and response to trauma in their clinical practice. DESCRIPTION: Posttraumatic stress disorder (PTSD) describes a psychiatric illness which develops as a response to a traumatic event. Women who have experienced trauma are also at increased risk for borderline personality disorder and other psychiatric comorbidities. Postpartum PTSD has particular relevance to obstetrical care. ASSESSMENT: Screening for trauma in Ob-Gyn care can provide an opportunity to address risk and offer targeted intervention. Several brief evidence-based screening tools are available. Individuals who screen positive require assessment of immediate safety and targeted referrals. Trauma informed care describes an approach to healthcare aimed to enhance physical and emotional safety for patients and clinicians. CONCLUSION: Given the prevalence and the potentially devastating and enduring impact of trauma and trauma-related symptoms, there is a critical need to address trauma within Ob-Gyn care. By recognizing the signs of trauma and initiating or referring to appropriate treatments, Ob-Gyn clinicians have a unique opportunity to better understand their patients and to improve their care.

Trauma Informed Care in the Obstetric Setting and Role of the Perinatal Psychiatrist: A Comprehensive Review of the Literature.

BACKGROUND: Trauma is highly prevalent, and women are twice as likely as men to develop posttraumatic stress disorder following a traumatic exposure. Consequently, many women entering the perinatal period have trauma histories. In the perinatal period, a trauma history can negatively impact treatment engagement and adversely affect the experience of pregnancy, postpartum, and parenting. A trauma-informed care approach can mitigate these effects. OBJECTIVE: This review aims to summarize literature that can aid psychiatrists in (1) identifying signs and symptoms of trauma in perinatal women, (2) integrating elements of trauma-informed care into perinatal mental health care, and (3) offering interventions that can minimize adverse outcomes for perinatal women and their children. METHODS: A PubMed search was conducted with keywords including trauma, pregnancy, perinatal, posttraumatic stress disorder, postpartum posttraumatic stress disorder, and trauma informed care. RESULTS: Perinatal care, given its somewhat invasive nature, has the potential to traumatize or cause retraumatization. Trauma-related disorders are common and can present or worsen in the perinatal period. Trauma can manifest in multiple forms in this population, including exacerbation of preexisting posttraumatic stress disorder, new onset acute stress disorder in the perinatal period, or postpartum posttraumatic stress disorder secondary to traumatic childbirth. Unaddressed trauma can adversely affect the experience of pregnancy, postpartum, and parenting. Psychiatrists caring for women in the perinatal period are in an ideal position to screen for trauma and offer appropriate intervention. A trauma-informed approach to obstetric care can help clinical teams respond to the unique trauma-related challenges that can arise during obstetric care. Trauma-informed care, with its emphasis on establishing a culture of safety, transparency, trustworthiness, collaboration, and mutuality, can empower health care providers and systems with powerful tools to respond to trauma and its myriad effects in a strengths-based manner. By applying a trauma-informed lens, psychiatrists can help their obstetric colleagues provide patient-centered compassionate care and treatment. CONCLUSIONS: Applying a trauma-informed approach to evaluation and treatment of perinatal populations could decrease the toll trauma has on affected women and their children.

Associations Between Adverse Childhood Experiences and Prenatal Mental Health and Substance Use Among Urban, Low-Income Women.

This study examined associations between Adverse Childhood Experiences (ACEs) and perinatal mental health and substance use among 98 low-income women (mean age 25.4 years; 93% Black/African American) referred to a mental health care manager in an urban women's clinic. Self-report and retrospective chart review data were utilized. Chi-squared and Fisher's Exact tests were performed to assess bivariate relationships between ACEs and mental health and substance use outcomes. Multivariate logistic regressions were used to examine the impact of ACEs on mental health and substance use, adjusting for marital status, education, and age. Findings indicate high levels of childhood adversity, specifically childhood abuse, are associated with negative perinatal mental health and substance use outcomes, including suicidal thoughts, anxiety, mood dysregulation, and tobacco and marijuana use. Inquiring about ACEs during prenatal care and/or in community health clinics may help identify patients' overall risk and provide opportunities for intervention for mothers and their infants.

Cultivating mental health education in obstetrics and gynecology: a call to action.

Mental health disorders are common and have a significantly negative impact on the health and well-being of women. For example, perinatal mental health disorders such as anxiety and depression are widely understood to be the most common complications of pregnancy and childbirth. Untreated mental health disorders are associated with significant obstetrical and psychiatric sequelae and have a long-lasting impact on neonatal and childhood outcomes. As front-line providers for women during times of elevated risk of psychiatric morbidity, such as pregnancy and postpartum, obstetricians and gynecologists are compelled to have familiarity with such disorders. Yet, a wide gap exists between the level of education in mental health disorders that obstetrician and gynecologist providers receive and the clinical need thereof. The objectives of this commentary are to describe the urgent need for mental health education for obstetricians and gynecologists providers and to introduce our vision for a concise, evidence-based and accessible set of digital educational materials designed to convey core concepts in women's reproductive mental health.

Near-infrared catecholamine nanosensors for high spatiotemporal dopamine imaging.

Dopamine neuromodulation of neural synapses is a process implicated in a number of critical brain functions and diseases. Development of protocols to visualize this dynamic neurochemical process is essential to understanding how dopamine modulates brain function. We have developed a non-genetically encoded, near-IR (nIR) catecholamine nanosensor (nIRCat) capable of identifying ~2-µm dopamine release hotspots in dorsal striatal brain slices. nIRCat is readily synthesized through sonication of single walled carbon nanotubes with DNA oligos, can be readily introduced into both genetically tractable and intractable organisms and is compatible with a number of dopamine receptor agonists and antagonists. Here we describe the synthesis, characterization and implementation of nIRCat in acute mouse brain slices. We demonstrate how nIRCat can be used to image electrically or optogenetically stimulated dopamine release, and how these procedures can be leveraged to study the effects of dopamine receptor pharmacology. In addition, we provide suggestions for building or adapting wide-field microscopy to be compatible with nIRCat nIR fluorescence imaging. We discuss strategies for analyzing nIR video data to identify dopamine release hotspots and quantify their kinetics. This protocol can be adapted and implemented for imaging other neuromodulators by using probes of this class and can be used in a broad range of species without genetic manipulation. The synthesis and characterization protocols for nIRCat take ~5 h, and the preparation and fluorescence imaging of live brain slices by using nIRCats require ~6 h.

Gastric Cancer Risk Prediction Using an Epidemiological Risk Assessment Model and Polygenic Risk Score.

We investigated the performance of a gastric cancer (GC) risk assessment model in combination with single-nucleotide polymorphisms (SNPs) as a polygenic risk score (PRS) in consideration of Helicobacter pylori (H. pylori) infection status. Six SNPs identified from genome-wide association studies and a marginal association with GC in the study population were included in the PRS. Discrimination of the GC risk assessment model, PRS, and the combination of the two (PRS-GCS) were examined regarding incremental risk and the area under the receiver operating characteristic curve (AUC), with grouping according to H. pylori infection status. The GC risk assessment model score showed an association with GC, irrespective of H. pylori infection. Conversely, the PRS exhibited an association only for those with H. pylori infection. The PRS did not discriminate GC in those without H. pylori infection, whereas the GC risk assessment model showed a modest discrimination. Among individuals with H. pylori infection, discrimination by the GC risk assessment model and the PRS were comparable, with the PRS-GCS combination resulting in an increase in the AUC of 3%. In addition, the PRS-GCS classified more patients and fewer controls at the highest score quintile in those with H. pylori infection. Overall, the PRS-GCS improved the identification of a GC-susceptible population of people with H. pylori infection. In those without H. pylori infection, the GC risk assessment model was better at identifying the high-risk group.

Myasthenia Symptom Burden, Fatigue, and Sleep: Are They Related?

OBJECTIVE: Our aim is to explore the relationship between myasthenia gravis (MG)-related symptom burden, sleep quality, and fatigue in a diverse group of self-identified MG patients. METHODS: Patients provided relevant myasthenia disease data and completed the MG QOL-15, Epworth sleepiness scale, Pittsburgh Sleep Quality Index, and fatigue severity score (FSS) online. MG activities of daily living scale (MG-ADL) was completed on a follow-up telephone interview. RESULTS: One hundred ninety-six patients completed the online survey and 99 provided MG-ADL data. The mean age was 52 ± 15.34 years, 88 were acetylcholine receptor antibody positive, and 21 were muscle specific kinase positive. The mean MG-ADL was 6.81, indicating a moderate MG disease burden. Forty-seven (24%) reported high Epworth sleepiness scale scores, 152 (77%) reported high Pittsburgh Sleep Quality Index scores, and 162 (82%) reported high FSS scores. Correlation analysis correcting for body mass index and sleep apnea revealed a moderate positive correlation between MGQOL-15, MG-ADL, and FSS. CONCLUSIONS: There is a moderate positive correlation between various MG-specific outcome measures and fatigue severity.