The role of income and emotional engagement in the efficacy of a brief help-seeking video intervention for essential workers.

BACKGROUND: Recently we showed that a brief video-based intervention can improve openness to help-seeking and decrease treatment-related stigma among essential workers, particularly for female and Black individuals viewing demographically matched protagonists. The current randomized controlled trial explored two additional factors which may enhance the efficacy of this intervention: income level, known to be associated with help-seeking, and emotional engagement, which may enhance a person's ability to engage with the intervention. We hypothesized that income level and emotional engagement would correlate with changes in openness to help-seeking ("openness") and stigma. METHODS: Essential workers (N = 1405) randomly viewed a control video or a brief video of an actor portraying an essential worker describing COVID-19-related anxiety and depression and treatment benefits. Openness and stigma were assessed at baseline, post-intervention, and 30-day follow-up, with emotional engagement assessed post-intervention. RESULTS: The brief video intervention demonstrated immediate increases in openness (p < 0.001, Cohen's d = 0.39) and decreases in stigma (p < 0.001, d = 0.14) compared to the control. Reported income level affected neither dependent variable. Participants who scored higher on the emotional engagement scale reported greater change in openness and stigma. LIMITATIONS: Use of a crowdsourcing platform may limit generalizability. CONCLUSIONS: The 3-min video showed modest effect sizes for immediate increased openness and reduced stigma, with greater emotional engagement heightening the effect, suggesting a possible mediator to the intervention. Income level did not affect intervention outcomes. Research should explore the role of income by adding income-related content to the brief-video interventions and assessing whether links to referrals could foster immediate behavioral change. TRIAL REGISTRATION: NCT04964570.

Comparison of abdominal adipose tissue versus Body Mass Index (BMI) as a predictor of complications and survival in liver transplantation.

INTRODUCTION: Because of the obesity epidemic, more obese patients are on liver transplant (LT) waiting lists. The diseases associated with obesity may increase complications and limit survival after LT. However, there is no established measure or cut-off point to determine this impact and aid decision making. The aim of the present study is to evaluate obesity in patients undergoing LT via BMI and CT-based measurement of adipose tissue (AAT). These parameters will be used to predict the risk of postoperative complications and 5-year survival. METHODS: A retrospective, single-center study was carried out at a tertiary Spanish hospital, including all patients who received LT between January 2012 and July 2019 (n = 164). The patients were adults who underwent LT using the 'piggyback' technique, preserving the recipient vena cava. Visceral adipose tissue (VAT) and BMI were calculated to examine correlations with postoperative complications and 5-year survival. RESULTS: No significant association was found between postoperative complications by Comprehensive Complication Index, BMI, AAT/height, subcutaneous fat/height and VAT/height. Kaplan-Meier curves for 5-year survival compared LT recipients with BMI < 30.45 vs ≥30.45, with an estimated survival of 58.97 months versus 43.11 months, respectively (P < .001) (Fig. 3) and for LT recipients with an AAT/height <27.35 mm versus ≥27.35 mm, with an estimated survival of 57.69 months versus 46.34 months (P = .001). CONCLUSIONS: This study does not show a higher rate of postoperative complications in obese patients. There is a significantly lower long-term survival in patients with AAT/height ≥27.35 mm and BMI ≥ 30.45. BMI is a valid estimate of obesity and is predictive of survival.

Social Cognition and Mild Cognitive Impairment in Mid-Stage Parkinson's Disease.

Mild cognitive impairment (MCI) is a relevant non-motor feature in Parkinson's disease (PD). Social cognition (SC) is a cognitive domain that refers to the ability to decode others' intentions and to guide behavior in social contexts. We aimed to compare SC performance in mid-stage PD patients compared to a healthy population and according to their cognitive state. Fifty-two PD patients were classified as being cognitively normal (PD-CN) or having mild cognitive impairment (PD-MCI) following the Movement Disorder Society (MDS) Level II criteria. SC assessment included facial emotion recognition (FER), affective and cognitive theory of mind (ToM), and self-monitoring (RSMS test). Twenty-seven age-matched healthy controls (HC) were enrolled. PD-MCI patients scored worse than HC on affective and cognitive ToM task scores. Only cognitive ToM scores were significantly lower when compared with the PD-MCI and PD-CN groups. We found no differences in FER or self-monitoring performance. There were significant correlations between cognitive ToM and executive functions, memory, language, and attention, whereas FER and affective ToM correlated with memory. Our findings indicates that SC is normal in cognitively unimpaired and non-depressed mid-stage PD patients, whereas a decline in affective and cognitive ToM is linked to the presence of MCI.

"It's Tough to Be a Black Man with Schizophrenia": Randomized Controlled Trial of a Brief Video Intervention to Reduce Public Stigma.

BACKGROUND AND HYPOTHESIS: Racial discrimination and public stigma toward Black individuals living with schizophrenia create disparities in treatment-seeking and engagement. Brief, social-contact-based video interventions efficaciously reduce stigma. It remains unclear whether including racial identity experiences in video narrative yields greater stigma reduction. We hypothesized that we would replicate findings showing sustained stigma reduction in video-intervention groups vs control and that Black participants would show greater stigma reduction and emotional engagement than non-Black participants only for a racial-insights video presenting a Black protagonist. STUDY DESIGN: Recruiting using a crowdsourcing platform, we randomized 1351 participants ages 18-30 to (a) brief video-based intervention, (b) racial-insights-focused brief video, or (c) non-intervention control, with baseline, post-intervention, and 30-day follow-up assessments. In 2-minute videos, a young Black protagonist described symptoms, personal struggles, and recovery from schizophrenia, with or without mentioning race-related experiences. STUDY RESULTS: A 3 × 3 ANOVA showed a significant group-by-time interaction for total scores of each of five stigma-related domains: social distance, stereotyping, separateness, social restriction, and perceived recovery (all P < .001). Linear mixed modeling showed a greater reduction in stigma from baseline to post-intervention among Black than non-Black participants in the racial insights video group for the social distance and social restriction domains. CONCLUSIONS: This randomized controlled trial replicated and expanded previous findings, showing the anti-stigma effects of a brief video tailored to race-related experiences. This underscores the importance of personalized, culturally relevant narratives, especially for marginalized groups who, more attuned to prejudice and discrimination, may particularly value identification and solidarity. Future studies should explore mediators/moderators to improve intervention efficacy.

Serological Antibodies against Kidney, Liver, and Spleen Membrane Antigens as Potential Biomarkers in Patients with Immune Disorders.

Immune disorders arise from complex genetic and environmental factors, which lead to dysregulation at the cellular and inflammatory levels and cause tissue damage. Recent research highlights the crucial role of reactive antibodies in autoimmune diseases and graft rejection, but their complex determination poses challenges for clinical use. Therefore, our study aimed to ascertain whether the presence of reactive antibodies against membrane antigens in tissues from both animal models and humans could serve as biomarkers in patients with autoimmune disorders. To address this issue, we examined the binding profile of serological antibodies against a diverse panel of cell membranes from the spleen, liver, and kidney tissues of monkeys, rats, and humans. After developing the cell membrane microarrays, human sera were immunologically assayed. The study was first conducted on sera from two groups, healthy subjects and patients with inflammatory and autoimmune disorders, and then optimized for kidney transplant patient sera. A significant increase in antibody reactivity against specific monkey kidney and spleen membranes was observed in the serum of patients with lupus nephritis, while kidney transplant patients showed a significant enhancement against human tissues and human embryonic kidney 293 cells. These results show the potential importance for clinical and basic research purposes of studying the presence of specific IgG against membrane antigens in patients' serum as potential biomarkers of immune disorders. However, it is important to note that these results need to be verified in further studies with a larger sample size to confirm their relevance.

Genetic characteristics involved in COVID-19 severity. The CARGENCORS case-control study and meta-analysis.

Pre-existing coronary artery disease (CAD), and thrombotic, inflammatory, or virus infectivity response phenomena have been associated with COVID-19 disease severity. However, the association of candidate single nucleotide variants (SNVs) related to mechanisms of COVID-19 complications has been seldom analysed. Our aim was to test and validate the effect of candidate SNVs on COVID-19 severity. CARGENCORS (CARdiovascular GENetic risk score for Risk Stratification of patients positive for SARS-CoV-2 [COVID-19] virus) is an age- and sex-matched case-control study with 818 COVID-19 cases hospitalized with hypoxemia, and 1636 controls with COVID-19 treated at home. The association between severity and SNVs related to CAD (n = 32), inflammation (n = 19), thrombosis (n = 14), virus infectivity (n = 11), and two published to be related to COVID-19 severity was tested with adjusted logistic regression models. Two external independent cohorts were used for meta-analysis (SCOURGE and UK Biobank). After adjustment for potential confounders, 14 new SNVs were associated with COVID-19 severity in the CARGENCORS Study. These SNVs were related to CAD (n = 10), thrombosis (n = 2), and inflammation (n = 2). We also confirmed eight SNVs previously related to severe COVID-19 and virus infectivity. The meta-analysis showed five SNVs associated with severe COVID-19 in adjusted analyses (rs11385942, rs1561198, rs6632704, rs6629110, and rs12329760). We identified 14 novel SNVs and confirmed eight previously related to COVID-19 severity in the CARGENCORS data. In the meta-analysis, five SNVs were significantly associated to COVID-19 severity, one of them previously related to CAD.

Lipid fingerprint-based histology accurately classifies nevus, primary melanoma, and metastatic melanoma samples.

Probably, the most important factor for the survival of a melanoma patient is early detection and precise diagnosis. Although in most cases these tasks are readily carried out by pathologists and dermatologists, there are still difficult cases in which no consensus among experts is achieved. To deal with such cases, new methodologies are required. Following this motivation, we explore here the use of lipid imaging mass spectrometry as a complementary tool for the aid in the diagnosis. Thus, 53 samples (15 nevus, 24 primary melanomas, and 14 metastasis) were explored with the aid of a mass spectrometer, using negative polarity. The rich lipid fingerprint obtained from the samples allowed us to set up an artificial intelligence-based classification model that achieved 100% of specificity and precision both in training and validation data sets. A deeper analysis of the image data shows that the technique reports important information on the tumor microenvironment that may give invaluable insights in the prognosis of the lesion, with the correct interpretation.

An analysis of osteopathic medical students applying to surgical residencies following transition to a single graduate medical education accreditation system.

CONTEXT: Upon requests from osteopathic medical schools, the National Resident Matching Program (NRMP) Charting Outcomes were redesigned to include osteopathic medical school seniors beginning in 2018 and one joint graduate medical education (GME) accreditation system, the Accreditation Council for Graduate Medical Education (ACGME), formed in 2020. OBJECTIVES: The goal of this study is to analyze the match outcomes and characteristics of osteopathic applicants applying to surgical specialties following the ACGME transition. METHODS: A retrospective analysis of osteopathic senior match outcomes in surgical specialties from the NRMP Main Residency Match data from 2020 to 2022 and the NRMP Charting Outcomes data from 2020 to 2022 was performed. RESULTS: For surgical specialties, results show matching increased as United States Medical Licensing Examination (USMLE) Step 2 CK (clinical knowledge) and Comprehensive Osteopathic Medical Licensing Examination (COMLEX) Level 2 CE (cognitive evaluation) scores increased along with the number of contiguous rankings (p<0.001). The greatest indication for matching looking at scores alone were those who scored greater than 230 on Step 2 CK compared to below (p<0.001) and above 650 on Level 2 CE (p<0.001). However, those who scored 240 (p=0.025) on Step 2 CK were just as likely to match as those who scored 250 (p=0.022) when compared to those who scored below those scores. Increasing research involvement had little to no significance with the likelihood of matching across most surgical subspecialties. CONCLUSIONS: Our study demonstrates that there are unique thresholds for Step 2 CK scores, Level 2 CE scores, and the number of contiguous ranks for each surgical specialty that, when reached, are significantly associated with match success. Although certain board score delineations are linked with higher match success rates, the rates level off after this point for most surgical specialties and do not significantly increase further with higher scores. In addition, thresholds within contiguous ranks for increasing match likelihood exist and vary across surgical specialties. Overall, this study highlights that the quantitative metrics utilized to assess applicants lack the correlation reported historically, and the data presently available need to be more substantiated.

Depression as a Risk Factor for Dementia: A Meta-Analysis.

Dementia is a syndrome characterized by the deterioration of cognitive function beyond what is expected. The increased risk of developing this syndrome resulting from established modifiable risk factors, such as depressive episodes, is currently a subject of interest. The aim of this study was to review the scientific evidence that addresses the relationship between depression and dementia. A bibliographic search of the PubMed and PsycInfo databases for articles published over the past 20 years was conducted with the following medical subject heading terms: depression or depressive, dementia, and incidence or cohort studies. After articles meeting the inclusion criteria were selected, relevant moderating variables were grouped as sample characteristics, methodological characteristics, extrinsic characteristics, and outcome variables. The 26 selected studies resulted in a sample comprising 1,760,262 individuals. Statistical analysis revealed a pooled relative risk for the development of dementia of 1.82 (95% CI=1.62-2.06). The primary variables evaluated were the diagnostic methods for depression and dementia and the presence of depression. Other variables, such as mean age, methodological quality of each study, follow-up time, and publication year, were also evaluated. Age was statistically but not clinically significant. No relevant publication bias or alterations in the results were found when accounting for the quality of the studies. It is recommended that new moderating variables be evaluated or that existing variables be reformulated in future studies.

CNN-based flow field prediction for bus aerodynamics analysis.

The aim of this article is to evaluate the ability of a convolutional neural network (CNN) to predict velocity and pressure aerodynamic fields in heavy vehicles. For training and testing the developed CNN, various CFD simulations of three different vehicle geometries have been conducted, considering the RANS-based k-ω SST turbulent model. Two geometries correspond to the SC7 and SC5 coach models of the bus manufacturer SUNSUNDEGUI and the third one corresponds to Ahmed body. By generating different variants of these three geometries, a large number of representations of the velocity and pressure fields are obtained that will be used to train, verify, and evaluate the convolutional neural network. To improve the accuracy of the CNN, the field representations obtained are discretized as a function of the expected velocity gradient, so that in the areas where there is a greater variation in velocity, the corresponding neuron is smaller. The results show good agreement between numerical results and CNN predictions, being the CNN able to accurately represent the velocity and pressure fields with very low errors. Additionally, a substantial improvement in the computational time needed for each simulation is appreciated, reducing it by four orders of magnitude.

Life is precious: A quasi-experimental study of a community-based program to prevent suicide among Latina adolescents in New York City.

INTRODUCTION: Rising rates of suicidal thoughts and behaviors (STBs) among U.S. Latina adolescents urgently need attention. Life is Precious (LIP) is a culturally responsive, community-based, afterschool-model program offering wellness-support services to supplement outpatient mental health treatment for Latina adolescents experiencing STB's. This 12-month quasi-experimental pilot study explored LIP's impact on clinical outcomes. METHODS: Latina adolescents newly enrolled in LIP and receiving outpatient treatment (n = 31) and those newly starting outpatient treatment only (n = 12; Usual Care) were assessed for Suicidal Ideation (Suicidal Ideation Questionnaire; SIQ) and depressive symptoms (Patient Health Questionnaire-9). We estimated differences in mean scores using longitudinal linear mixed models and adjusted risk ratios (ARRs) of SIQ-25%, SIQ-50%, and PHQ-9-5-point improvements using exact logistic models. RESULTS: The direction of the estimated impact of LIP was positive [differences (95% CIs): -15.5 (-34.16, 3.15) for SIQ; -1.16 (-4.39, 2.07) for PHQ-9], with small-to-moderate nonsignificant effect sizes (0.19-0.34). LIP participants saw two to three times higher prevalence than controls of SIQ-25%, SIQ-50%, and PHQ-9-5-point improvements; ARRs (95% CIs) were 1.91 (0.61, 3.45), 3.04 (0.43, 11.33), and 1.97 (0.44, 5.07), respectively. Suicidal behaviors also decreased in LIP. CONCLUSION: The effects of LIP were in positive directions across clinical outcomes, warranting further research on its effectiveness in decreasing STBs.

Seasonal variation in dragonfly assemblage colouration suggests a link between thermal melanism and phenology.

Phenology, the seasonal timing of life events, is an essential component of diversity patterns. However, the mechanisms involved are complex and understudied. Body colour may be an important factor, because dark-bodied species absorb more solar radiation, which is predicted by the Thermal Melanism Hypothesis to enable them to thermoregulate successfully in cooler temperatures. Here we show that colour lightness of dragonfly assemblages varies in response to seasonal changes in solar radiation, with darker early- and late-season assemblages and lighter mid-season assemblages. This finding suggests a link between colour-based thermoregulation and insect phenology. We also show that the phenological pattern of dragonfly colour lightness advanced over the last decades. We suggest that changing seasonal temperature patterns due to global warming together with the static nature of solar radiation may drive dragonfly flight periods to suboptimal seasonal conditions. Our findings open a research avenue for a more mechanistic understanding of phenology and spatio-phenological impacts of climate warming on insects.

Disparities in COVID-19-Related Psychological Distress Among Recipients of a State's Public Mental Health Services.

OBJECTIVE: The authors examined changes in perceived anxiety, stress, and mental health symptoms (i.e., psychological distress) reported by recipients of New York State public mental health services during the early months of the COVID-19 pandemic, as well as whether these changes varied by demographic characteristics or pandemic-related socioeconomic challenges. METHODS: A statewide survey of service recipients (N=3,483) was conducted (May 8-June 22, 2020). Descriptive analyses were summarized, and logistic regression was used to evaluate associations between increases in reported psychological distress and age, gender, region of residence, race and ethnicity, socioeconomic challenges, and alcohol or drug use. RESULTS: Fifty-five percent of respondents (N=1,933) reported a slight or moderate increase in COVID-19-related psychological distress, and 15% (N=520) reported a substantial increase. In adjusted models, substantial elevations in psychological distress were associated with identifying as female (AOR=1.83, 95% CI=1.50-2.25), experiencing three or more pandemic-related socioeconomic challenges (AOR=2.41, 95% CI=1.91-3.03), and reporting increased use of alcohol or drugs (AOR=1.81, 95% CI=1.34-2.44). Compared with non-Hispanic/Latinx White service recipients, non-Hispanic/Latinx Black individuals had lower odds of reporting substantially increased psychological distress (AOR=0.59, 95% CI=0.45-0.76), as did non-Hispanic/Latinx Asian-descent individuals (AOR=0.28, 95% CI=0.12-0.64). CONCLUSIONS: In this large sample of recipients of New York State public mental health services, the COVID-19 pandemic's impact on psychological well-being was widespread and varied by gender, race and ethnicity, and socioeconomic vulnerability. These relationships must be considered in ongoing efforts to provide optimal care for this population.

Amphibian diversity across three adjacent ecosystems in Área de Conservación Guanacaste, Costa Rica.

Amphibians are the most threatened species-rich vertebrate group, with species extinctions and population declines occurring globally, even in protected and seemingly pristine habitats. These 'enigmatic declines' are generated by climate change and infectious diseases. However, the consequences of these declines are undocumented as no baseline ecological data exists for most affected areas. Like other neotropical countries, Costa Rica, including Área de Conservación Guanacaste (ACG) in north-western Costa Rica, experienced rapid amphibian population declines and apparent extinctions during the past three decades. To delineate amphibian diversity patterns within ACG, a large-scale comparison of multiple sites and habitats was conducted. Distance and time constrained visual encounter surveys characterised species richness at five sites-Murciélago (dry forest), Santa Rosa (dry forest), Maritza (mid-elevation dry-rain forest intersect), San Gerardo (rainforest) and Cacao (cloud forest). Furthermore, species-richness patterns for Cacao were compared with historic data from 1987-8, before amphibians declined in the area. Rainforests had the highest species richness, with triple the species of their dry forest counterparts. A decline of 45% (20 to 11 species) in amphibian species richness was encountered when comparing historic and contemporary data for Cacao. Conservation efforts sometimes focus on increasing the resilience of protected areas, by increasing their range of ecosystems. In this sense ACG is unique containing many tropical ecosystems compressed in a small geographic space, all protected and recognised as a UNESCO world heritage site. It thus provides an extraordinary platform to understand changes, past and present, and the resilience of tropical ecosystems and assemblages, or lack thereof, to climate change.

Risk of Recurrence of Hepatocarcinoma after Liver Transplantation: Performance of Recurrence Predictive Models in a Cohort of Transplant Patients.

Liver transplantation (LT) is a curative treatment for early-stage hepatocellular carcinoma (HCC) unsuitable for surgical resection. However, tumor recurrence (TR) rates range from 8% to 20% despite strict selection criteria. The validation of new prognostic tools, such as pre-MORAL or RETREAT risks, is necessary to improve recurrence prediction. A retrospective study was conducted at Marqués de Valdecilla University Hospital in Cantabria, Spain, between 2010 and 2019 to determine the rate of TR in LT patients and identify associated factors. Patients with liver-kidney transplantation, re-transplantation, HIV infection, survival less than 90 days, or incidental HCC were excluded. Data on demographic, liver disease-related, LT, and tumor-related variables, as well as follow-up records, including TR and death, were collected. TR was analyzed using the Log-Rank test, and a multivariate Cox regression analysis was performed. The study was approved by the IRB of Cantabria. TR occurred in 13.6% of LT patients (95% CI = 7.3-23.9), primarily as extrahepatic recurrence (67%) within the first 5 years (75%). Increased TR was significantly associated with higher Body Mass Index (BMI) (HR = 1.3 [95% CI = 1.1-1.5]), vascular micro-invasion (HR = 8.8 [1.6-48.0]), and medium (HR = 20.4 [3.0-140.4]) and high pre-MORAL risk (HR = 30.2 [1.6-568.6]). TR also showed a significant correlation with increased mortality. Conclusions: LT for HCC results in a 13.6% rate of tumor recurrence. Factors such as BMI, vascular micro-invasion, and medium/high pre-MORAL risk are strongly associated with TR following LT.

Transfusion-associated adverse events incidence and severity after the implementation of an active hemovigilance program with 24 h follow-up. A prospective cohort study.

BACKGROUND: Hemovigilance (HV) is usually based on voluntary reports (passive HV). Our aim is to ascertain credible incidence, severity, and mortality of transfusion-associated adverse events (TAAEs) using an active HV program. STUDY DESIGN AND METHODS: Prospective cohort study to estimate transfusion risk after 46,488 transfusions in 5830 patients, using an active HV program with follow-up within the first 24 h after transfusion. We compared these results to those with the previously established passive HV program during the same 30 months of the study. We explored factors associated with the occurrence of TAAEs using generalized estimating equations models. RESULTS: With the active HV program TAAEs incidence was 57.3 (95% CI, 50.5-64.2) and mortality 1.1 (95% CI, 0.13-2.01) per 10,000 transfusions. Incidence with the new surveillance model was 14.0 times higher than with the passive. Most events occurred when transfusions had already finished (60.2%); especially pulmonary events (80.4%). Three out of five deaths and 50.3% of severe TAAEs were pulmonary. In the multivariate analysis surgical patients had half TAAEs risk when compared to medical patients (OR, 0.53; 95% CI, 0.34-0.78) and women had nearly twice the risk of a pulmonary event compared to men (OR, 1.84; 95% CI, 1.03-3.32). Patient's age, blood component type, or blood component shelf-life were unrelated to TAAEs risk. DISCUSSION: Active hemovigilance programs provide additional data which may lead to better recognition and understanding of TAAEs and their frequency and severity.

Serologic evolution and follow-up to IgG antibodies of infants born to mothers with gestational COVID.

BACKGROUND: It is known that SARS-CoV-2 antibodies from pregnant women with SARS-CoV-2 infection during pregnancy cross the placenta but the duration and the protective effect of these antibodies in infants is scarce. METHODS: This prospective study included mothers with SARS-COV-2 infection during pregnancy and their infants from April 2020 to March 2021. IgG antibodies to SARS-CoV-2 spike protein were performed on women and infants at birth and at two and six months during follow-up. Anthropometrical measures and physical and neurological examinations and a clinical history of symptoms and COVID-19 diagnosis were collected. Simple linear regression was performed to compare categorical and continuous variables. To compare the mother's and infant's antibody titers evolution, a mixed linear regression model was used. A predictive model of newborn antibody titers at birth has been established by means of simple stepwise linear regression. RESULTS: 51 mother-infant couples were included. 45 (90%) of the mothers and 44 (86.3%) of the newborns had a positive serology al birth. These antibodies were progressively decreasing and were positive in 34 (66.7%) and 7 (13.7%) of infants at 2 and 6 months, respectively. IgG titers of newborns at birth were related to mothers' titers, with a positive moderate correlation (Pearson's correlation coefficient: 0.82, p < 0,001). Fetal/maternal antibodies placental transference rate was 1.3 (IQR: 0.7-2.2). The maternal IgG titers at delivery and the type of maternal infection (acute, recent, or past infection) was significantly related with infants' antibody titers at birth. No other epidemiological or clinical factors were related to antibodies titers. Neurodevelopment, psychomotor development, and growth were normal in 94.2% of infants in the third follow-up visit. No infants had a COVID-19 diagnosis during the follow-up period. CONCLUSIONS: Transplacental transfer of maternal antibodies is high in newborns from mothers with recent or past infection at delivery, but these antibodies decrease after the first months of life. Infant's IgG titers were related to maternal IgG titers at delivery. Further studies are needed to learn about the protective role of maternal antibodies in infants.

Comparison of stigmatizing views towards COVID-19 and mental disorders among adolescent and young adult students in China.

Objective: Infectious diseases including COVID-19 and mental disorders are two of the most common health conditions associated with stigma. However, the comparative stigma of these two conditions has received less attention in research. This study aimed to compare the prevalence of stigmatizing views toward people with COVID-19 and mental disorders and the factors associated with these views, among a large sample of adolescent and young adult students in China. Methods: A total of 9,749 adolescents and young adults aged 15-24 years completed a survey on stigmatizing attitudes toward COVID-19 and mental disorders, as well as mental health-related factors, including general mental health status and symptoms of depression, anxiety, insomnia, and post-traumatic stress disorder (PTSD). Multivariable linear regression analyses were conducted to identify factors associated with stigmatizing views. Findings: The prevalence of COVID-19 and mental disorders-related stigma was 17.2% and 40.7%, respectively. COVID-19-related stigma scores were significantly higher among male students (ß = 0.025, p < 0.05), those without quarantine experience (ß = 0.035, p < 0.001), those with lower educational level (p < 0.001), those with lower family income (p < 0.01), and those with higher PTSD symptoms (ß = 0.045, p < 0.05). Mental disorder-related stigma scores were significantly higher among individuals with average and lower-than-average levels of family income (p < 0.01), depression symptoms (ß = 0.056, p < 0.001), anxiety symptoms (ß = 0.051, p < 0.001), and mental health problems (ß = 0.027, p < 0.05). Conclusion: The stigma of mental disorders is higher in the youth population than the stigma of COVID-19. Factors associated with stigmatizing attitudes toward people with COVID-19 and mental disorders varied across the youth. Stigma-reduction interventions among the youth should be targeted specifically to COVID-19 or mental disorders conditions.

Switching to Dolutegravir/lamivudine or Bictegravir/Emtricitabine/Tenofovir alafenamide. A comparative real-world study.

BACKGROUND: This real-world study compared the safety and effectiveness of Dolutegravir/lamivudine (D/L) and Bictegravir/Emtricitabine/Tenefovir alafenamide (B/F/T) switch therapy regimens for people living with HIV (PLWH). METHODS: The retrospective study conducted from April 2019 to November 2022, included PLWH with < 50 copies/mL of HIV-RNA prior to recruitment who initiated either D/L or B/F/T switching therapy. The primary objective was to evaluate treatment discontinuation rates; safety and virologic outcomes were also evaluated. RESULTS: 690 PLWH were included, 358 in the D/L and 332 in the B/F/T, and a median follow-up of 728 and 1013 days, respectively. The discontinuation proportions were 8.7% (31 participants, incidence rate of 4.44 per 100 PYFU in the D/L group and 15.3% (51 participants, incidence rate of 6.25 per 100 PYFU) in the B/F/T group. The adjusted hazard ratio for B/F/T discontinuation compared to D/L was 1.20 (95% CI: 0.71;2.0; p = 0.494). Virologic failure (VL > 200 copies/mL in two consecutive measurements) occurred in 1.1% and 0.9% of patients in the D/L and B/F/T groups, respectively. Notably, one patient in D/L group with severe non-adherence and virologic failure developed resistance mutations. CONCLUSIONS: Switching to either B/T/F or D/L treatment for PLWH was effective and well tolerated in this real-world study. Treatment discontinuation rates did not significantly differ between the two regimens.

Clinical significance of psychotic-like experiences across U.S. ethnoracial groups.

BACKGROUND: Prevalence of psychotic-like experiences (PLEs) - reports of hallucinations and delusional thinking not meeting criteria for psychotic disorder - varies substantially across ethnoracial groups. What explains this range of PLE prevalence? Despite extensive research, the clinical significance of PLEs remains unclear. Are PLE prevalence and clinical severity differentially associated across ethnoracial groups? METHODS: We examined the lifetime prevalence and clinical significance of PLEs across ethnoracial groups in the Collaborative Psychiatric Epidemiology Surveys (N = 11 139) using the Composite International Diagnostic Interview (CIDI) psychosis symptom screener. Outcomes included mental healthcare use (inpatient, outpatient), mental health morbidity (self-perceived poor/fair mental health, suicidal ideation or attempts), and impairment (role interference). Individuals with outcome onsets prior to PLE onset were excluded. We also examined associations of PLEs with CIDI diagnoses. Cox proportional-hazards regression and logistic regression modeling identified associations of interest. RESULTS: Contrary to previous reports, only Asian Americans differed significantly from other U.S. ethnoracial groups, reporting lower lifetime prevalence (6.7% v. 8.0-11.9%) and mean number (0.09 v. 0.11-0.18) of PLEs. In multivariate analyses, PLE clinical significance showed limited ethnoracial variation among Asian Americans, non-Caribbean Latinos, and Afro-Caribbeans. In other groups, mental health outcomes showed significant ethnoracial clustering by outcome (e.g. hospitalization and role interference with Caribbean-Latino origin), possibly due to underlying differences in psychiatric disorder chronicity or treatment barriers. CONCLUSIONS: While there is limited ethnoracial variation in U.S. PLE prevalence, PLE clinical significance varies across U.S. ethnoracial groups. Clinicians should consider this variation when assessing PLEs to avoid exaggerating their clinical significance, contributing to mental healthcare disparities.