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Increasing multimonth dispensing of antiretrovirals and assessing the effect on viral load suppression among children and adolescents receiving HIV services in Nigeria

PLoS One. 2023 Jun 14;18(6):e0286303. doi: 10.1371/journal.pone.0286303. eCollection 2023.

ABSTRACT

INTRODUCTION: Multimonth dispensing (MMD) enables less frequent clinic visits and improved outcomes for people living with HIV, but few children and adolescents living with HIV (CALHIV) are on MMD. At the end of the October-December 2019 quarter, only 23% of CALHIV receiving antiretroviral therapy (ART) through SIDHAS project sites in Akwa Ibom and Cross River states, Nigeria, were receiving MMD. In March 2020, during COVID-19, the government expanded MMD eligibility to include children and recommended rapid implementation to minimize clinic visits. SIDHAS provided technical assistance to 36 “high-volume” facilities-≥5 CALHIV on treatment-in Akwa Ibom and Cross River to increase MMD and viral load suppression (VLS) among CALHIV, toward PEPFAR’s 80% benchmark for people currently on ART. We present change in MMD, viral load (VL) testing coverage, VLS, optimized regimen coverage, and community-based ART group enrollment among CALHIV from the October-December 2019 quarter (baseline) to January-March 2021 (endline) based on retrospective analysis of routinely collected program data.

MATERIALS AND METHODS: We compared MMD coverage (primary objective), and optimized regimen coverage, community-based ART group enrollment, VL testing coverage, and VLS (secondary objectives), among CALHIV 18 years and younger pre-/post-intervention (baseline/endline) at the 36 facilities. We excluded children younger than two years, who are not recommended for or routinely offered MMD. The extracted data included age, sex, ART regimen, months of ART dispensed at last refill, most recent VL test results, and community ART group enrollment. Data on MMD-three or more months of ARVs dispensed at one time-were disaggregated into three to five months (3-5-MMD) vs. six or more months (6-MMD). VLS was defined as ≤1,000 copies. We documented MMD coverage by site, optimized regimen, and VL testing and suppression. Using descriptive statistics, we summarized the characteristics of CALHIV on MMD and non-MMD, number of CALHIV on optimized regimens, and proportion enrolled in differentiated service delivery models and community-based ART refill groups. For the intervention, SIDHAS technical assistance was data driven: weekly data analysis/review, site-prioritization scoring, provider mentoring, line listing eligible CALHIV, pediatric regimen calculator, child-optimized regimen transitioning, and community ART models.

RESULTS: The proportion of CALHIV ages 2-18 receiving MMD increased from 23% (620/2,647; baseline) to 88% (3,992/4,541; endline), while the proportion of sites reporting suboptimal MMD coverage among CALHIV (<80%) decreased (100% to 28%). In March 2021, 49% of CALHIV were receiving 3-5-MMD and 39% 6-MMD. In October-December 2019, 17%-28% of CALHIV were receiving MMD; by January-March 2021, 99% of those 15-18 years, 94% 10-14 years, 79% 5-9 years, and 71% 2-4 years were on MMD. VL testing coverage remained high (90%), while VLS increased (64% to 92%). The proportion on pediatric-optimized regimens increased (58% to 79%).

CONCLUSIONS: MMD was feasible among CALHIV without compromising VLS. Expanded eligibility criteria, line listing eligible children, monitoring pediatric antiretroviral stock, and data use contributed to positive results. Future efforts should address low 6-MMD uptake related to stock limitations and synchronize antiretroviral refill pickup with VL sample collection.

PMID:37315075 | DOI:10.1371/journal.pone.0286303

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Optic Neuritis After COVID-19 Vaccination: An Analysis of the Vaccine Adverse Event Reporting System

J Neuroophthalmol. 2023 Jun 14. doi: 10.1097/WNO.0000000000001900. Online ahead of print.

ABSTRACT

BACKGROUND: To investigate the association of optic neuritis (ON) after the COVID-19 vaccines.

METHODS: Cases of ON from Vaccine Adverse Event Reporting System (VAERS) were collected and divided into the prepandemic, COVID-19 pandemic, and COVID-19 vaccine periods. Reporting rates were calculated based on estimates of vaccines administered. Proportion tests and Pearson χ2 test were used to determine significant differences in reporting rates of ON after vaccines within the 3 periods. Kruskal-Wallis testing with Bonferroni-corrected post hoc analysis and multivariable binary logistic regression was used to determine significant case factors such as age, sex, concurrent multiple sclerosis (MS) and vaccine manufacturer in predicting a worse outcome defined as permanent disability, emergency room (ER) or doctor visits, and hospitalizations.

RESULTS: A significant increase in the reporting rate of ON after COVID-19 vaccination compared with influenza vaccination and all other vaccinations (18.6 vs 0.2 vs 0.4 per 10 million, P < 0.0001) was observed. However, the reporting rate was within the incidence range of ON in the general population. Using self-controlled and case-centered analyses, there was a significant difference in the reporting rate of ON after COVID-19 vaccination between the risk period and control period (P < 0.0001). Multivariable binary regression with adjustment for confounding variables demonstrated that only male sex was significantly associated with permanent disability.

CONCLUSIONS: Some cases of ON may be temporally associated with the COVID-19 vaccines; however, there is no significant increase in the reporting rate compared with the incidence. Limitations of this study include those inherent to any passive surveillance system. Controlled studies are needed to establish a clear causal relationship.

PMID:37314860 | DOI:10.1097/WNO.0000000000001900

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Protein Biomarkers for the Identification of Forensically Relevant Human Hair from Different Body Parts in Intimate Contact Cases

J Proteome Res. 2023 Jun 14. doi: 10.1021/acs.jproteome.3c00129. Online ahead of print.

ABSTRACT

Correctly identifying the human hair anatomic location found at crime scenes can link biological sample donors with the actual crime event, thus providing significant insight into the crime scene reconstruction. Forensic proteomic studies on human hairs can facilitate the development of new biomarkers for hair identification while compensating for the limitations of the conventional morphologic hair comparison and DNA analysis. Herein, the LC-MS/MS platform was used to find differentially expressed protein biomarkers in hairs from different body sites. The findings indicated that a total of 296 protein biomarkers with statistically significant differences in body sites were initially identified, and hair samples from the scalp, pubic, and armpit parts were distinguished from each other, which were validated by multiple bioinformatic methods. Fewer differences in protein patterns between armpit and pubic hairs while larger differences between hair and armpit as well as pubic hairs provided reasonable evidence of sexual or close intimate contact in crimes. This study lays the foundation for the development of a more reliable strategy to distinguish human hairs of various body areas from Chinese and will also support microscopic hair comparison analysis and assist in the proper handling of legal proceedings in relative cases by judicial officers, deserving special attention and further in-depth investigation. The MS proteomics data have been deposited to the ProteomeXchange Consortium via the iProX partner repository with the dataset identifier PXD038173.

PMID:37314855 | DOI:10.1021/acs.jproteome.3c00129

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Developing a Culturally and Linguistically Congruent Digital Storytelling Intervention in Vietnamese and Korean American Mothers of Human Papillomavirus-Vaccinated Children: Feasibility and Acceptability Study

JMIR Form Res. 2023 Jun 14;7:e45696. doi: 10.2196/45696.

ABSTRACT

BACKGROUND: The high morbidity, mortality, and economic burden attributed to cancer-causing human papillomavirus (HPV) call for researchers to address this public health concern through HPV vaccination. Disparities of HPV-associated cancers in Vietnamese and Korean Americans exist, yet their vaccination rates remain low. Evidence points to the importance of developing culturally and linguistically congruent interventions to improve their HPV vaccination rates. We adopted digital storytelling (DST) that combines oral storytelling with computer-based technology (digital images, audio recording, and music) as a promising approach for facilitating the communication of culturally relevant health messages.

OBJECTIVE: This study aimed to (1) assess the feasibility and acceptability of intervention development through DST workshops, (2) conduct an in-depth analysis of the cultural experience that shapes HPV attitudes, and (3) explore aspects of the DST workshop experience that could inform future formative and intervention work.

METHODS: Through community partners, social media, and snowball sampling, we recruited 2 Vietnamese American and 6 Korean American mothers (mean age 41.4, SD 5.8 years) who had children vaccinated against HPV. Three virtual DST workshops were conducted between July 2021 and January 2022. Our team supported mothers to develop their own stories. Mothers completed web-based surveys before and after the workshop and provided feedback on each other’s story ideas and the workshop experience. We used descriptive statistics to summarize quantitative data and constant comparative analysis to analyze qualitative data collected in the workshop and field notes.

RESULTS: Eight digital stories were developed in the DST workshops. They were well accepted, and the mothers showed overall satisfaction and relevant indicators (eg, would recommend it to others, would attend a similar workshop, it was worth their time; mean 4.2-5, range 1-5). Mothers found the process rewarding and appreciated the opportunity to share their stories in group settings and learn from each other. The 6 major themes that emerged from the data reflect the mothers’ rich personal experiences, attitudes, and perceptions about their child’s HPV vaccination, which included (1) showing parents’ love and responsibility; (2) HPV and related knowledge, awareness, and attitudes; (3) factors influencing vaccine decision-making; (4) source of information and information sharing; (5) response to children’s being vaccinated; and (6) cultural perspectives on health care and HPV vaccination.

CONCLUSIONS: Our findings suggest that a virtual DST workshop is a highly feasible and acceptable approach to engaging Vietnamese American and Korean American immigrant mothers in developing culturally and linguistically congruent DST interventions. Further research is needed to test the efficacy and effectiveness of digital stories as an intervention for Vietnamese American and Korean American mothers of unvaccinated children. This process of developing an easy-to-deliver, culturally and linguistically aligned, and holistic web-based DST intervention can be implemented with other populations in other languages.

PMID:37314851 | DOI:10.2196/45696

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Rationale, Design, and Methods for the Sedentary Behavior Reduction in Pregnancy Intervention (SPRING): Protocol for a Pilot and Feasibility Randomized Controlled Trial

JMIR Res Protoc. 2023 Jun 14;12:e48228. doi: 10.2196/48228.

ABSTRACT

BACKGROUND: Adverse pregnancy outcomes (APOs) identify cardiovascular disease risk, but few effective interventions are available. High sedentary behavior (SED) has recently been associated with APOs, but very few randomized controlled trials (RCTs) have tested SED reduction in pregnancy.

OBJECTIVE: The Sedentary Behavior Reduction in Pregnancy Intervention (SPRING) pilot and feasibility RCT addresses this gap by testing the feasibility, acceptability, and preliminary pregnancy health effects of an intervention to reduce SED in pregnant women. The objective of this manuscript is to describe the rationale and design of SPRING.

METHODS: Pregnant participants (n=53) in their first trimester, who are at risk for high SED and APO and without contraindications, are randomized in a 2:1 ratio to an intervention or control group. SED (primary outcome) and standing durations, and steps per day, are measured objectively in each trimester for 1 week with a thigh-mounted activPAL3 accelerometer. SPRING also seeks to demonstrate feasibility and acceptability while estimating preliminary effects on maternal-fetal health outcomes assessed during study visits and abstracted from medical records. The pregnancy-customized intervention promotes daily behavioral targets of less than 9 hours of SED and at least 7500 steps, achieved via increased standing and incorporating light-intensity movement breaks each hour. The multicomponent intervention provides a height-adjustable workstation, a wearable activity monitor, behavioral counseling every 2 weeks (through videoconference), and membership in a private social media group. Herein, we review the rationale, describe recruitment and screening processes, and detail the intervention, assessment protocols, and planned statistical analyses.

RESULTS: This study was funded by the American Heart Association (20TPA3549099), with a funding period of January 1, 2021, and until December 31, 2023. Institutional review board approval was obtained on February 24, 2021. Participants were randomized between October 2021 and September 2022, with final data collection planned for May 2023. Analyses and submission of results are expected for winter of 2023.

CONCLUSIONS: The SPRING RCT will provide initial evidence on the feasibility and acceptability of an SED-reduction intervention to decrease SED in pregnant women. These data will inform the design of a large clinical trial testing SED reduction as a strategy to reduce APO risk.

TRIAL REGISTRATION: ClincialTrials.gov NCT05093842; https://clinicaltrials.gov/ct2/show/NCT05093842.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/48228.

PMID:37314845 | DOI:10.2196/48228

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Implementing Active Assisted Living Technology in the Long-term Care of People Living With Dementia to Address Loneliness: European Survey

JMIR Aging. 2023 Jun 14;6:e45231. doi: 10.2196/45231.

ABSTRACT

BACKGROUND: In the lives of people with dementia, loneliness is an important issue with psychological and physical consequences. Active assisted living (AAL) technology has been gaining visibility in the care of persons living with dementia, including addressing loneliness. However, to the best of our knowledge, there is a lack of evidence concerning the factors influencing the implementation of AAL technology within the context of dementia, loneliness, and long-term care (LTC).

OBJECTIVE: We aimed to identify the familiarity with AAL technology that is promising for addressing loneliness in persons living with dementia in LTC in Europe and the factors influencing AAL technology implementation.

METHODS: A web-based survey was developed based on findings from our previous literature review. The Consolidated Framework for Implementation Research guided the development and analysis of the survey. Participants included 24 representatives of Alzheimer Europe member associations from 15 European countries. The data were analyzed using basic statistical methods (descriptive statistics).

RESULTS: The baby seal robot Paro was reported to be the most familiar AAL technology by 19 of 24 participants addressing loneliness in people with dementia living in LTC. Participants from Norway (n=2) reported familiarity with 14 AAL technologies, and participants from Serbia (n=1) reported zero familiarity. It seems that countries that invest less in LTC facilities are familiar with fewer AAL technologies. At the same time, these countries report a more positive attitude toward AAL technology, express a higher need for it, and see more advantages than disadvantages than those countries that invest more in LTC. However, a country’s investment in LTC facilities does not seem to be linked to other implementation aspects such as costs, planning, and the impact of infrastructure.

CONCLUSIONS: Implementation of AAL technology to address loneliness in dementia seems to be linked to familiarity with the technology in a country as well as national investment in LTC facilities. This survey confirms the literature on higher investment countries’ critical stance in regard to AAL technology implementation to address loneliness in persons living with dementia living in LTC. Further research is needed to clarify the potential reasons why familiarity with more AAL technology does not seem to be directly linked with acceptance, positive attitude, or satisfaction with AAL technology addressing loneliness in persons living with dementia.

PMID:37314840 | DOI:10.2196/45231

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Long-term stability of pleural fluid carcinoembryonic antigen and its effect on the diagnostic accuracy for malignant pleural effusion

Thorac Cancer. 2023 Jun 14. doi: 10.1111/1759-7714.14996. Online ahead of print.

ABSTRACT

BACKGROUND: The in vitro stability assessment is essential for investigating the diagnostic accuracy of pleural biomarkers. This study aimed to investigate the long-term stability of pleural fluid carcinoembryonic antigen (CEA) at -80°C to -70°C. In addition, we analyzed the effects of frozen storage on the diagnostic accuracy of CEA for malignant pleural effusion (MPE).

METHODS: Pleural fluid CEA of participants in two prospective cohorts were stored at -80°C to -70°C for 1-3 years. The CEA level in the stored specimen was measured with an immunoassay, and its level in the fresh specimen was extracted from medical records. The Bland-Altman method, Passing-Bablok regression, and Deming regression were used to analyze the agreement of CEA between the fresh and frozen pleural fluid. In addition, we used receiver operating characteristic (ROC) curves to evaluate the diagnostic accuracy of CEA in the fresh and frozen specimens for MPE.

RESULTS: A total of 210 participants were enrolled. The median CEA levels in frozen and fresh pleural fluid specimens were similar (frozen, 2.32 ng/mL; fresh, 2.59 ng/mL; p < 0.01). The slopes and intercepts in the Passing-Bablok regression (intercept 0.01, slope 1.04) and Deming regression (intercept 0.65; slope 1.00) were not statistically significant (p > 0.05 for all). No significant difference was observed between the area under the ROC curves of CEA in the fresh and frozen specimens (p > 0.05 for all).

CONCLUSION: Pleural fluid CEA is seemingly stable when stored at -80°C to -70°C for 1-3 years. Frozen storage does not significantly affect the diagnostic accuracy of CEA for MPE.

PMID:37314828 | DOI:10.1111/1759-7714.14996

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PeakDetective: A Semisupervised Deep Learning-Based Approach for Peak Curation in Untargeted Metabolomics

Anal Chem. 2023 Jun 14. doi: 10.1021/acs.analchem.3c00764. Online ahead of print.

ABSTRACT

Peak-detection algorithms currently used to process untargeted metabolomics data were designed to maximize sensitivity at the sacrifice of selectively. Peak lists returned by conventional software tools therefore contain a high density of artifacts that do not represent real chemical analytes, which, in turn, hinder downstream analyses. Although some innovative approaches to remove artifacts have recently been introduced, they involve extensive user intervention due to the diversity of peak shapes present within and across metabolomics data sets. To address this bottleneck in metabolomics data processing, we developed a semisupervised deep learning-based approach, PeakDetective, for classification of detected peaks as artifacts or true peaks. Our approach utilizes two techniques for artifact removal. First, an unsupervised autoencoder is used to extract a low-dimensional, latent representation of each peak. Second, a classifier is trained with active learning to discriminate between artifacts and true peaks. Through active learning, the classifier is trained with less than 100 user-labeled peaks in a matter of minutes. Given the speed of its training, PeakDetective can be rapidly tailored to specific LC/MS methods and sample types to maximize performance on each type of data set. In addition to curation, the trained models can also be utilized for peak detection to immediately detect peaks with both high sensitivity and selectivity. We validated PeakDetective on five diverse LC/MS data sets, where PeakDetective showed greater accuracy compared to current approaches. When applied to a SARS-CoV-2 data set, PeakDetective enabled more statistically significant metabolites to be detected. PeakDetective is open source and available as a Python package at https://github.com/pattilab/PeakDetective.

PMID:37314824 | DOI:10.1021/acs.analchem.3c00764

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Large Discrepancies in Dementia Mortality Reported in Vital Statistics: The Need for Improved Data to Inform Policy

Alzheimer Dis Assoc Disord. 2023 Jun 8. doi: 10.1097/WAD.0000000000000562. Online ahead of print.

ABSTRACT

PURPOSE: There is limited understanding of the intercountry comparability of dementia mortality data. This study compares reported dementia mortality in national vital statistics between countries and over time. In countries with low dementia reporting, this study identifies other causes to which dementia may be misclassified.

METHODS: Using the World Health Organization (WHO) Mortality Database, we calculated the ratio of reported to expected (Global Burden of Disease estimated) age-standardized dementia death rates in 90 countries from 2000 to 2019. Other causes to which dementia may be misclassified were identified as having relatively high cause fractions compared with other countries.

PATIENTS: No patients were involved.

RESULTS: There is a large intercountry variation in reported dementia mortality rates. The ratio of reported to expected dementia mortality exceeded 100% in high-income countries but was below 50% in other super regions. In countries with low reported dementia mortality, cardiovascular diseases, ill-defined causes, and pneumonia have relatively high cause fractions and may be misclassified from dementia.

DISCUSSION: Large discrepancies in dementia mortality reporting between countries, including often implausibly low reported mortality, makes comparison extremely difficult. Improved guidance for and training of certifiers and the use of multiple cause-of-death data can help strengthen the policy utility of dementia mortality data.

PMID:37314817 | DOI:10.1097/WAD.0000000000000562

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Racial, Ethnic, and Socioeconomic Differences in Food Allergies in the US

JAMA Netw Open. 2023 Jun 1;6(6):e2318162. doi: 10.1001/jamanetworkopen.2023.18162.

ABSTRACT

IMPORTANCE: Food allergies affect approximately 8% of children and 11% of adults in the US. Racial differences in food allergy outcomes have previously been explored among Black and White children, but little is known about the distribution of food allergies across other racial, ethnic, and socioeconomic subpopulations.

OBJECTIVE: To estimate the national distribution of food allergies across racial, ethnic, and socioeconomic groups in the US.

DESIGN, SETTING, AND PARTICIPANTS: In this cross-sectional survey study, conducted from October 9, 2015, to September 18, 2016, a population-based survey was administered online and via telephone. A US nationally representative sample was surveyed. Participants were recruited using both probability- and nonprobability-based survey panels. Statistical analysis was performed from September 1, 2022, through April 10, 2023.

EXPOSURES: Demographic and food allergy-related participant characteristics.

MAIN OUTCOMES AND MEASURES: Stringent symptom criteria were developed to distinguish respondents with a “convincing” food allergy from those with similar symptom presentations (ie, food intolerance or oral allergy syndrome), with or without physician diagnosis. The prevalence of food allergies and their clinical outcomes, such as emergency department visits, epinephrine autoinjector use, and severe reactions, were measured across race (Asian, Black, White, and >1 race or other race), ethnicity (Hispanic and non-Hispanic), and household income. Complex survey-weighted proportions were used to estimate prevalence rates.

RESULTS: The survey was administered to 51 819 households comprising 78 851 individuals (40 443 adults and parents of 38 408 children; 51.1% women [95% CI, 50.5%-51.6%]; mean [SD] age of adults, 46.8 [24.0] years; mean [SD] age of children, 8.7 [5.2] years): 3.7% Asian individuals, 12.0% Black individuals, 17.4% Hispanic individuals, 62.2% White individuals, and 4.7% individuals of more than 1 race or other race. Non-Hispanic White individuals across all ages had the lowest rate of self-reported or parent-reported food allergies (9.5% [95% CI, 9.2%-9.9%]) compared with Asian (10.5% [95% CI, 9.1%-12.0%]), Hispanic (10.6% [95% CI, 9.7%-11.5%]), and non-Hispanic Black (10.6% [95% CI, 9.8%-11.5%]) individuals. The prevalence of common food allergens varied by race and ethnicity. Non-Hispanic Black individuals were most likely to report allergies to multiple foods (50.6% [95% CI, 46.1%-55.1%]). Asian and non-Hispanic White individuals had the lowest rates of severe food allergy reactions (Asian individuals, 46.9% [95% CI, 39.8%-54.1%] and non-Hispanic White individuals, 47.8% [95% CI, 45.9%-49.7%]) compared with individuals of other races and ethnicities. The prevalence of self-reported or parent-reported food allergies was lowest within households earning more than $150 000 per year (8.3% [95% CI, 7.4%-9.2%]).

CONCLUSIONS AND RELEVANCE: This survey study of a US nationally representative sample suggests that the prevalence of food allergies was highest among Asian, Hispanic, and non-Hispanic Black individuals compared with non-Hispanic White individuals in the US. Further assessment of socioeconomic factors and corresponding environmental exposures may better explain the causes of food allergy and inform targeted management and interventions to reduce the burden of food allergies and disparities in outcomes.

PMID:37314805 | DOI:10.1001/jamanetworkopen.2023.18162