Caseload factors predictive of family abuse and neglect treatment outcomes.

BACKGROUND: In child welfare, caseloads are frequently far higher than optimal. Not all cases are created equal; however, little is known about which combination and interaction of factors make caseloads more challenging and impact child and family outcomes. OBJECTIVE: This study aims to identify which case, provider, and organizational factors most strongly differentiate between families with favorable and less-than-positive treatment outcomes. PARTICIPANTS AND SETTING: Participants were 25 family advocacy program providers and 17 supervisors at 11 Department of the Air Force installations. METHODS: Following informed consent, participants completed demographic and caseload questionnaires, and we collected information about organizational factors. Providers were sent a weekly case update and burnout questionnaire for seven months. We used linear mixed-effects model tree (LMM tree) algorithms to determine the provider, client, and organizational characteristics that best distinguish between favorable vs. unfavorable outcomes. RESULTS: The LMM tree predicting provider-rated treatment success yielded three significant partitioning variables: (a) commander involvement, (b) case complexity, and (c) % of clients in a high-risk field. The LMM predicting client-rated treatment progress yielded seven significant partitioning variables: (a) command involvement; (b) ease of reaching tenant unit command; (c) # of high-risk cases; (d) % of clients receiving Alcohol and Drug Abuse Prevention and Treatment services; (e) ease of reaching command; (f) % of clients with legal involvement; (g) provider age. CONCLUSIONS: This study is a first step toward developing a dynamic caseload management tool. An intelligent, algorithm-informed approach to case assignment could help child welfare agencies operate in their typically resource-scarce contexts in a manner that improves outcomes.

End resection and telomere healing of DNA double-strand breaks during nematode programmed DNA elimination.

Most DNA double-strand breaks (DSBs) are harmful to genome integrity. However, some forms of DSBs are essential to biological processes, such as meiotic recombination and V(D)J recombination. DSBs are also required for programmed DNA elimination (PDE) in ciliates and nematodes. In nematodes, the DSBs are healed with telomere addition. While telomere addition sites have been well characterized, little is known regarding the DSBs that fragment nematode chromosomes. Here, we used embryos from the human and pig parasitic nematode Ascaris to characterize the DSBs. Using END-seq, we demonstrate that DSBs are introduced before mitosis, followed by extensive end resection. The resection profile is unique for each break site, and the resection generates 3'-overhangs before the addition of neotelomeres. Interestingly, telomere healing occurs much more frequently on retained DSB ends than on eliminated ends. This biased repair of the DSB ends may be due to the sequestration of the eliminated DNA into micronuclei, preventing neotelomere formation at their ends. Additional DNA breaks occur within the eliminated DNA in both Ascaris and Parascaris, ensuring chromosomal breakage and providing a fail-safe mechanism for PDE. Overall, our data indicate that telomere healing of DSBs is specific to the break sites responsible for nematode PDE.

A genome assembly of the American black bear, Ursus americanus, from California.

The American black bear, Ursus americanus, is a widespread and ecologically important species in North America. In California, the black bear plays an important role in a variety of ecosystems and serves as an important species for recreational hunting. While research suggests that the populations in California are currently healthy, continued monitoring is critical to maintaining healthy populations, with genomic analyses providing an important surveillance tool. Here we report a high-quality, near chromosome-level genome assembly from a U. americanus sample from California. The primary assembly has a total length of 2.5 Gb contained in 317 scaffolds, a contig N50 of 58.9 Mb, a scaffold N50 of 67.6 Mb, and a BUSCO completeness score of 96%. This U. americanus genome assembly from a California sample will provide an important resource for the targeted management of black bear populations in California, with the goal of achieving an appropriate balance between the recreational value of black bears and the maintenance of viable populations. The high quality of this genome assembly will also make it a valuable resource for comparative genomic analyses among black bear populations and among bear species.

Basic implications on three pathways associated with SARS-CoV-2.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) interacts between the host and virus and govern induction, resulting in multiorgan impacts. Its pathophysiology involves the followings: 1) the angiotensin-converting enzyme (ACE2) and Toll-like receptor (TLR) pathways: 2) the neuropilin (NRP) pathway: 3) the spike protein pathway. Therefore, it is necessary to block the pathological course with modulating innate lymphoid cells against diverse corona variants in the future.

A Hospice Transitions Program for Patients in the Emergency Department.

Importance: Patients often visit the emergency department (ED) near the end of life. Their common disposition is inpatient hospital admission, which can result in a delayed transition to hospice care and, ultimately, an inpatient hospital death that may be misaligned with their goals of care. Objective: To assess the association of hospice use with a novel multidisciplinary hospice program to rapidly identify and enroll eligible patients presenting to the ED near end of life. Design, Setting, and Participants: This pre-post quality improvement study of a novel, multifaceted care transitions program involving a formalized pathway with email alerts, clinician training, hospice vendor expansion, metric creation, and data tracking was conducted at a large, urban tertiary care academic medical center affiliated with a comprehensive cancer center among adult patients presenting to the ED near the end of life. The control period before program launch was from September 1, 2018, to January 31, 2020, and the intervention period after program launch was from August 1, 2021, to December 31, 2022. Main Outcome and Measures: The primary outcome was a transition to hospice without hospital admission and/or hospice admission within 96 hours of the ED visit. Secondary outcomes included length of stay and in-hospital mortality. Results: This study included 270 patients (median age, 74.0 years [IQR, 62.0-85.0 years]; 133 of 270 women [49.3%]) in the control period, and 388 patients (median age, 73.0 years [IQR, 60.0-84.0 years]; 208 of 388 women [53.6%]) in the intervention period, identified as eligible for hospice transition within 96 hours of ED arrival. In the control period, 61 patients (22.6%) achieved the primary outcome compared with 210 patients (54.1%) in the intervention period (P < .001). The intervention was associated with the primary outcome after adjustment for age, race and ethnicity, primary payer, Charlson Comorbidity Index, and presence of a Medical Order for Life-Sustaining Treatment (MOLST) (adjusted odds ratio, 5.02; 95% CI, 3.17-7.94). In addition, the presence of a MOLST was independently associated with hospice transition across all groups (adjusted odds ratio, 1.88; 95% CI, 1.18-2.99). There was no significant difference between the control and intervention periods in inpatient length of stay (median, 2.0 days [IQR, 1.1-3.0 days] vs 1.9 days [IQR, 1.1-3.0 days]; P = .84), but in-hospital mortality was lower in the intervention period (48.5% [188 of 388] vs 64.4% [174 of 270]; P < .001). Conclusions and Relevance: In this quality improvement study, a multidisciplinary program to facilitate ED patient transitions was associated with hospice use. Further investigation is needed to examine the generalizability and sustainability of the program.

Temporal Summation but not Expectations of Pain Relief Predict Response to Acupuncture Treatment in Fibromyalgia.

Fibromyalgia (FM) is a common chronic pain condition for which acupuncture treatment is increasingly utilized. However, there is no universally accepted measure to predict whether a specific patient will benefit from acupuncture. This is a single center, single-blind, sham-controlled, randomized, non-crossover, longitudinal trial of 76 subjects with FM, assigned to either electroacupuncture or a placebo control, mock laser acupuncture. Outcome measures included: clinical pain severity (Brief Pain Inventory, BPI), degree of nociplastic pain (Fibromyalgia Survey Questionnaire, FSQ), and pressure pain tolerance. Baseline measures of temporal summation of pain and expectations for treatment relief were used as predictors. Individuals in both treatment groups experienced significant reductions in BPI (electroacupuncture: p<0.001; mock laser: p=0.018) and FSQ (electroacupuncture: p=0.032; mock laser: p=0.002) after treatment; however, neither group showed a significant increase in pressure pain tolerance. Lower temporal summation at baseline was correlated with greater post-treatment improvement in BPI in the electroacupuncture group (rho=0.389, p=0.025) but not in the mock laser group (rho=-0.272, p=0.109). Lower baseline temporal summation was correlated with greater decreases in pressure pain tolerance following electroacupuncture (rho=0.400, p=0.040), whereas the opposite was seen for mock laser (rho=-0.562, p=0.001). Treatment expectancy at baseline was not correlated with any outcome after electroacupuncture or mock laser treatments. Our results support using a quantitative sensory testing metric, temporal summation of pain, but not expectations, to predict analgesia following acupuncture treatment for pain. CLINICAL TRIAL REGISTRATION: Registered under ClinicalTrials.gov identifier NCT02064296. PERSPECTIVE: A randomized study of acupuncture in fibromyalgia found baseline temporal summation, but not expectations of pain relief, to be predictive of treatment response.

External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens.

OBJECTIVES: To externally validate the performance of the DeepDx Prostate artificial intelligence (AI) algorithm (Deep Bio Inc., Seoul, South Korea) for Gleason grading on whole-mount prostate histopathology, considering potential variations observed when applying AI models trained on biopsy samples to radical prostatectomy (RP) specimens due to inherent differences in tissue representation and sample size. MATERIALS AND METHODS: The commercially available DeepDx Prostate AI algorithm is an automated Gleason grading system that was previously trained using 1133 prostate core biopsy images and validated on 700 biopsy images from two institutions. We assessed the AI algorithm's performance, which outputs Gleason patterns (3, 4, or 5), on 500 1-mm2 tiles created from 150 whole-mount RP specimens from a third institution. These patterns were then grouped into grade groups (GGs) for comparison with expert pathologist assessments. The reference standard was the International Society of Urological Pathology GG as established by two experienced uropathologists with a third expert to adjudicate discordant cases. We defined the main metric as the agreement with the reference standard, using Cohen's kappa. RESULTS: The agreement between the two experienced pathologists in determining GGs at the tile level had a quadratically weighted Cohen's kappa of 0.94. The agreement between the AI algorithm and the reference standard in differentiating cancerous vs non-cancerous tissue had an unweighted Cohen's kappa of 0.91. Additionally, the AI algorithm's agreement with the reference standard in classifying tiles into GGs had a quadratically weighted Cohen's kappa of 0.89. In distinguishing cancerous vs non-cancerous tissue, the AI algorithm achieved a sensitivity of 0.997 and specificity of 0.88; in classifying GG ≥2 vs GG 1 and non-cancerous tissue, it demonstrated a sensitivity of 0.98 and specificity of 0.85. CONCLUSION: The DeepDx Prostate AI algorithm had excellent agreement with expert uropathologists and performance in cancer identification and grading on RP specimens, despite being trained on biopsy specimens from an entirely different patient population.

Practice Makes Perfect: Objective Structured Clinical Examinations Across the UME-to-GME Continuum Improve Care of Transgender Simulated Patients.

Background Residents lack confidence in caring for transgender individuals. More exposure and practice throughout training is needed. Objective To explore whether and how prior exposure to transgender health skills during medical school impacted competency with these skills during residency. Methods In 2022, all 101 internal medicine residents at New York University Grossman School of Medicine participated in an objective structured clinical examination (OSCE) station as part of their annual formative assessment where they cared for a standardized patient (SP) who identified as transgender. Three SPs who were members of the transgender community were recruited through online and social media forums. Two resident groups (continuum vs noncontinuum) differed in their prior experiences with transgender OSCEs during medical school. We analyzed SPs' ratings of resident performance using checklist data and SP open-ended feedback to compare performance between groups and resident post-OSCE evaluations to understand residents' perceptions of the educational value of the case. Results Residents with prior experience with transgender SPs (continuum) were more frequently recommended by SPs (88% [21 of 24] vs 70% [54 of 77]) to a family member or friend, were all rated professional (100% [24 of 24] vs 94% [72 of 94]) and scored better in pain information-gathering (92% vs 65%, mean summary score) and gender-affirming care skills (67% vs 52%, mean summary score). Noncontinuum residents lacked experience, missed opportunities to ask about gender identity, and needed work on demonstrating comfort and using proper language. Most residents completing a post-OSCE evaluation (80%, 41 of 51) rated the case as "very valuable." Conclusions Spaced practice and feedback through early exposure to transgender OSCEs were valuable for skill acquisition, giving continuum residents a learning advantage compared to noncontinuum residents.

Impact of connected dispensing technology with advanced analytics in a multicenter health system.

DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: This study was designed to evaluate the impact of enterprise inventory optimization (EIO) technology and analytics on pharmacy labor, costs, and medication availability within a large integrated delivery network (IDN). METHODS: This article describes a mixed-methods, postmarket observational study assessing the impact of a solution of disparate technologies including automated dispensing cabinets (ADCs), centralized pharmacy inventory software, and controlled substance vaults connected by an inventory optimization analytics (IOA) tool. Four study modules were implemented over a 10-month period. The intervention consisted of implementation of the IOA software, linking the disparate automated technologies. Transactional data was collected and aggregated with user perception survey data in both the pre- and postintervention periods. Descriptive and comparative statistical testing was used to assess outcomes. RESULTS: A total of 11 facilities with bed counts ranging between 22 and 908 beds were included in this study. At an enterprise level, users were able to complete an average of 2.8 times more periodic automated replenishment (PAR) level changes post intervention, resulting in an estimated enterprise labor avoidance of over 1 full-time equivalent (2,099 labor hours) annually. Despite an enterprise decision to increase ADC inventory on hand from a 3-day supply to a 5-day supply, 5 sites (45%) had a decrease in total inventory, while 9 sites (82%) saw a decrease in ADC inventory costs. Additionally, 7 sites (64%) saw a reduction in the ADC stockout percentage and all 11 sites (100%) saw a decrease in the central pharmacy stockout percentage post intervention. CONCLUSION: Integration and optimization of connected inventory management technology was observed to have positive impacts on improving labor productivity, reducing ADC inventory carrying costs, and increasing medication availability.

Glucagon-like Peptide 1 Receptor Agonists and Asthma Exacerbations: Which Patients Benefit Most?

RATIONALE: While recent evidence suggested glucagon-like peptide 1 receptor agonists (GLP1RA) may reduce the risk of asthma exacerbations, it remains unclear which subpopulations might derive the most benefit from GLP1RA treatment. OBJECTIVE: To identify characteristics of patients with asthma that predict who might benefit the most from GLP1RA treatment using real-world data. METHODS: We implemented an active-comparator, new-user design analysis using commercially insured patients ages 18-65 from Marketscan data 2007-2019 and identified two cohorts: GLP1RA vs thiazolidinediones and GLP1RA vs sulfonylureas. The outcome was acute exacerbation of asthma (hospital admission or emergency department (ED) visit for asthma) within 180 days after initiation. We applied iterative causal forest (iCF), a novel causal machine learning subgrouping algorithm, to assess HTE. In identified subgroups, we predicted propensity score, conducted propensity score trimming, and then estimated adjusted risk differences (aRD) for the effect of GLP1RA relative to comparators on asthma exacerbation using inverse probability treatment weighting in propensity score trimmed subpopulation. RESULTS: Among 10,989 patients initiating GLP1RA or thiazolidinediones and 17,088 patients initiating GLP1RA vs sulfonylurea, GLP1RA initiators had fewer exacerbations with an aRD of -0.5% (95% CI -1.1% to 0.1%) and -1.6% (95% CI -2.2% to -1.1%), respectively. In the GLP1RAvsSUcohort where we observed beneficial effect, our iCF analysis identified 5 subgroups with different treatment effects, defined by number of ED visits, number of prescriptions of short-acting beta2-agonsit (SABA), number of prescriptions of inhaled steroid (ICS) and long-acting beta-agonists (LABA) (either combination therapy or concurrent use), and aged 50+. Among these, patients with 2+ ED visits during 12-month baseline period had the largest absolute exacerbation risk reduction, with a decrease of 2.8% for GLP1RA (95% CI: -4.8% to -0.9%). CONCLUSIONS: GLP1RA demonstrated beneficial effect on reducing asthma exacerbation relative to sulfonylureas. Asthma patients with 2+ ED visits (a proxy for disease severity) benefit most from GLP1RA. ED visit frequency, and number of maintenance and reliever inhalers, and age may help individualize prediction of the short-term benefit from GLP1RA on asthma exacerbation.

Pyrazinamide Safety, Efficacy, and Dosing for Treating Drug-Susceptible Pulmonary Tuberculosis: A Phase 3, Randomized, Controlled Clinical Trial.

RATIONALE: Optimizing pyrazinamide dosing is critical to improve treatment efficacy while minimizing toxicity during tuberculosis treatment. Study 31/ACTG A5349 represents the largest Phase 3 randomized controlled therapeutic trial to date for such investigation. OBJECTIVES: We sought to report pyrazinamide pharmacokinetic parameters, risk factors for lower pyrazinamide exposure, and relationships between pyrazinamide exposure with efficacy and safety outcomes. We aimed to determine pyrazinamide dosing strategies that optimize risks and benefits. METHODS: We analyzed pyrazinamide steady-state pharmacokinetic data using population nonlinear mixed-effects models. We evaluated the contribution of pyrazinamide exposure to long-term efficacy using parametric time-to-event models and safety outcomes using logistic regression. We evaluated optimal dosing with therapeutic windows targeting ≥95% durable cure and safety within the observed proportion of the primary safety outcome. MEASUREMENTS AND MAIN RESULTS: Among 2255 participants with 6978 plasma samples, pyrazinamide displayed 7-fold exposure variability (151-1053 mg·h/L). Body weight was not a clinically relevant predictor of drug clearance and thus did not justify the need for weight-banded dosing. Both clinical and safety outcomes were associated with pyrazinamide exposure, resulting in a therapeutic window of 231-355 mg·h/L for the control and 226-349 mg·h/L for the rifapentine-moxifloxacin regimen. Flat dosing of pyrazinamide at 1000 mg would have permitted an additional 13.1% (n=96) participants allocated to the control and 9.2% (n=70) to the rifapentine-moxifloxacin regimen dosed within the therapeutic window, compared to the current weight-banded dosing. CONCLUSIONS: Flat dosing of pyrazinamide at 1000 mg daily would be readily implementable and could optimize treatment outcomes in drug-susceptible tuberculosis. Clinical trial registration available at www. CLINICALTRIALS: gov, ID: NCT02410772.

Scapular morphology does not predict supraspinatus tendon tear propagation following an individualised exercise therapy programme.

Purpose: To determine whether scapular morphology could predict isolated supraspinatus tendon tear propagation after exercise therapy. We hypothesised that a larger critical shoulder angle (CSA) and type III acromial morphology predict a positive change in tear size. Methods: Fifty-nine individuals aged 40-70 years with isolated symptomatic high-grade partial or full-thickness supraspinatus tendon tears were included. Individuals participated in a structured, individualised 12-week exercise therapy programme and underwent ultrasound to measure tear size at baseline and 12 months following therapy. Computed tomography images were segmented to create three-dimensional subject-specific bone models and reviewed by three trained clinicians to measure CSA and to determine acromion morphology based on the Bigliani classification. A binary logistic regression was performed to determine the predictive value of CSA and acromion morphology on tear propagation. Results: The CSA was 30.0 ± 5.4°. Thirty-one individuals (52.5%) had type II acromial morphology, followed by type III and type I morphologies (25.4% and 22.0%, respectively); 81.4% experienced no change in tear size, four (6.8%) individuals experienced tear propagation and seven (11.9%) individuals had a negative change in tear size. No significant difference in tear propagation rates based on CSA or acromion morphology (not significant [NS]) was observed. The model predicted tear size status in 81.4% of cases but only predicted tear propagation 8.3% of the time. Overall, CSA and acromion morphology only predicted 24.3% (R 2 = 0.243) of variance in tear propagation (NS). Conclusions: CSA and acromion morphology were NS predictors of tear propagation of the supraspinatus tendon 12 months following an individualised exercise therapy programme. Level of Evidence: II.

Measuring the Direct Medical Costs of Hospital-Onset Infections Using an Analogy Costing Framework.

BACKGROUND: The majority of recent estimates on the direct medical cost attributable to hospital-onset infections (HOIs) has focused on device- or procedure-associated HOIs. The attributable costs of HOIs that are not associated with device use or procedures have not been extensively studied. OBJECTIVE: We developed simulation models of attributable cost for 16 HOIs and estimated the total direct medical cost, including nondevice-related HOIs in the USA for 2011 and 2015. DATA AND METHODS: We used total discharge costs associated with HOI-related hospitalization from the National Inpatient Sample and applied an analogy costing methodology to develop simulation models of the costs attributable to HOIs. The mean attributable cost estimate from the simulation analysis was then multiplied by previously published estimates of the number of HOIs for 2011 and 2015 to generate national estimates of direct medical costs. RESULTS: After adjusting all estimates to 2017 US dollars, attributable cost estimates for select nondevice-related infections attributable cost estimates ranged from $7661 for ear, eye, nose, throat, and mouth (EENTM) infections to $27,709 for cardiovascular system infections in 2011; and from $8394 for EENTM to $26,445 for central nervous system infections in 2016 (based on 2015 incidence data). The national direct medical costs for all HOIs were $14.6 billion in 2011 and $12.1 billion in 2016. Nondevice- and nonprocedure-associated HOIs comprise approximately 26-28% of total HOI costs. CONCLUSION: Results suggest that nondevice- and nonprocedure-related HOIs result in considerable costs to the healthcare system.

Pilot study assessing gut microbial diversity among sexual and gender minority young adults.

Evidence supports that people identifying as a sexual or gender minority (SGMs) experience minority-related stress resulting from discrimination or expectations of prejudice, and that this is associated with increased mental and physical health problems compared to cisgender heterosexuals. However, the biological mechanisms driving minority-related stress impacts remain unknown, including the role of the gut microbiome. Thus, the aim of this study was to determine the relationship between SGM status and gut microbiome health among young adults attending a 4-year university. To this end, a prospective pilot study was completed in the fall and spring semesters of 2021-22. Self-identified SGMs (N = 22) and cisgender-heterosexuals (CIS-HET, N = 43) completed in-person interviews to provide mental health data and demographic information. Nail and saliva samples were collected at the time of interview to quantify chronic and acute cortisol. Stool samples were collected within 48 hours of interview for microbiome analysis. Assessment of the gut microbiota identified a significant reduction in alpha diversity among the SGM group, even when adjusting for mental health outcome. SGM group showed trends for higher abundance of microbes in phylum Bacteroidetes and lower abundance of microbes in phyla Firmicutes, Actinobacteria, and Proteobacteria compared to the CIS-HET group. These findings support that the gut microbiome could be contributing to negative health effects among the SGM community.

The association of the persecutory ideation questionnaire with clinically-relevant and other outcomes: the moderating role of confidence.

One of the most used self-administered instruments to assess persecutory delusions is the Persecutory Ideation Questionnaire (PIQ). Individual differences in PIQ scores are important because they predict the severity of symptoms associated with psychosis-related disorders. The current research demonstrates that PIQ is associated with two new outcomes: Satisfaction with life (Studies 1 and 2) and therapy length needed for hospital discharge (Study 2). Most relevant, we introduce meta-cognitive confidence in one's scale responses as a construct capable of improving the predictive validity of the PIQ. Across two studies, participants from the general population (Study 1) and from a clinical sample (Study 2) completed the PIQ and then reported the confidence in their responses. As expected, the PIQ was associated with satisfaction with life in both cases and duration of therapy required to receive hospital discharge for the clinical sample. Most importantly, confidence further moderated the extent to which the PIQ scores were linked with both outcomes, with greater consistency between the PIQ and the dependent measures obtained for those with higher confidence. Therefore, asking a single item about the confidence associated with responses to the PIQ enhances the association of PIQ scores and relevant consequences across domains.

Hydroxyurea to prevent brain injury in children with sickle cell disease (HU Prevent)-A randomized, placebo-controlled phase II feasibility/pilot study.

Central nervous system (CNS) injury is common in sickle cell disease (SCD) and occurs early in life. Hydroxyurea is safe and efficacious for treatment of SCD, but high-quality evidence from randomized trials to estimate its neuroprotective effect is scant. HU Prevent was a randomized (1:1), double-blind, phase II feasibility/pilot trial of dose-escalated hydroxyurea vs. placebo for the primary prevention of CNS injury in children with HbSS or HbS-ß0-thalassemia subtypes of SCD age 12-48 months with normal neurological examination, MRI of the brain, and cerebral blood flow velocity. We hypothesized that hydroxyurea would reduce by 50% the incidence of CNS injury. Two outcomes were compared: primary-a composite of silent cerebral infarction, elevated cerebral blood flow velocity, transient ischemic attack, or stroke; secondary-a weighted score estimating the risk of suffering the consequences of stroke (the Stroke Consequences Risk Score-SCRS), based on the same outcome events. Six participants were randomized to each group. One participant in the hydroxyurea group had a primary outcome vs. four in the placebo group (incidence rate ratio [90% CI] 0.216 [0.009, 1.66], p = .2914) (~80% reduction in the hydroxyurea group). The mean SCRS score was 0.078 (SD 0.174) in the hydroxyurea group, 0.312 (SD 0.174) in the placebo group, p = .072, below the p-value of .10 often used to justify subsequent phase III investigations. Serious adverse events related to study procedures occurred in 3/41 MRIs performed, all related to sedation. These results suggest that hydroxyurea may have profound neuroprotective effect in children with SCD and support a definitive phase III study to encourage the early use of hydroxyurea in all infants with SCD.

Supporting Underserved Communities for Health Care: US Immigrants' Experiences with Social Support.

Background: Social support is associated with improved clinical outcomes but is understudied among US immigrants. We examined two types of social support, perceived health provider support and community support, and characterized perceptions of social support among US immigrants compared with nonimmigrants. Methods: We conducted cross-sectional data analysis on self-reported data from Health Information National Trends Survey 5, Cycle 2. Population-level estimates were obtained using jack-knife replicate weights. Results: Immigrant status was not associated with perceived health care provider support or community support. However, compared with nonimmigrants, US immigrants were more likely to report rarely (adjusted odds ratio [aOR]=3.07) or never (aOR=3.18) having access to emotional support. Conclusions: Further research that incorporates nuanced factors (eg, time since arrival) that may influence social support in diverse US immigrant groups is needed to determine the impact of social support on health outcomes in an underserved and often overlooked population.

Incorporating social determinants of health into transmission modeling of COVID-19 vaccine in the US: a scoping review.

During COVID-19 in the US, social determinants of health (SDH) have driven health disparities. However, the use of SDH in COVID-19 vaccine modeling is unclear. This review aimed to summarize the current landscape of incorporating SDH into COVID-19 vaccine transmission modeling in the US. Medline and Embase were searched up to October 2022. We included studies that used transmission modeling to assess the effects of COVID-19 vaccine strategies in the US. Studies' characteristics, factors incorporated into models, and approaches to incorporate these factors were extracted. Ninety-two studies were included. Of these, 11 studies incorporated SDH factors (alone or combined with demographic factors). Various sets of SDH factors were integrated, with occupation being the most common (8 studies), followed by geographical location (5 studies). The results show that few studies incorporate SDHs into their models, highlighting the need for research on SDH impact and approaches to incorporating SDH into modeling. Funding: This research was funded by the Centers for Disease Control and Prevention (CDC).