White Reference Research Articles

Highlighting the Importance of Correct Sex Identification in Chondrichthyan Genomic Studies, Using the White Shark as an Example

The increased availability of reference genome assemblies of sharks and rays has contributed greatly to our understanding of their biology, including their sex-determination mechanisms. However, several publicly available genome assemblies of sharks and rays appear to be missing information about the sex of the source individuals. This can confound the investigation into genetic sex-determining elements and hinder the discovery of sex-specific patterns. Herein, we highlight the importance of clear and accurate sex identification in sharks and rays for future genome assemblies, using an example of a white shark (Carcharodon carcharias) genome, in which the phenotypically assigned sex conflicts with the genetic information. This genome assembly was reported to be sourced from a juvenile female (BioSample: SAMN01915239). We analyzed the assembly by mapping its available genome sequences to the current white shark reference genome assembly and compared the read coverage to sequences collected from other samples. Evidence suggests that this specimen is genetically male, which contradicts its assignment based on phenotype. Therefore, we urge researchers to provide as much accurate information (e.g., sex, sampling localities, and life history) as possible when publishing genome assemblies for sharks and rays (or for any other organism).

Exploring Racial and Ethnic Differences in Utilization of Medications for Obesity Management in a Nationally Representative Survey.

The burden of obesity falls disproportionately on some racial and ethnic minority groups. To assess for racial and ethnic differences in the utilization of obesity-management medications among clinically eligible individuals. Medical Expenditure Panel Survey (2011-2016, 2018 and 2020) data and a cross-sectional study design was used to assess for racial and ethnic differences in obesity-management medication utilization. Descriptive statistics and multivariable logistic regression models were used to identify the association of race and ethnicity with obesity-management medication utilization. Adjusted models controlled for demographics, socioeconomic status, obesity class, diabetes status, number of chronic conditions, insurance status, and geographic region. Adults with a BMI ≥ 30 kg/m2 and individuals with a BMI ≥ 27 kg/m2 with ≥ 1 weight-related condition. The primary outcome measure was utilization of an FDA-approved medication for obesity-management during the study period. The primary independent predictor was race and ethnicity. Separate indicator variables were created for each racial and ethnic group (Non-Hispanic Asian, Non-Hispanic Black, Hispanic, and Non-Hispanic White (reference group)). In adjusted analyses, Asian (aOR, 0.36; 95% CI, 0.16 to 0.77; P < 0.01), Black (aOR, 0.51; 95% CI, 0.39 to 0.68; P < 0.001) and Hispanic individuals (aOR, 0.70; 95% CI, 0.49 to 0.98; P = 0.04) had significantly lower odds of utilizing obesity-management medications compared to White individuals. The results of this study suggest that there are racial and ethnic disparities in the use of obesity-management medications.

Dietary patterns in ethnic minority groups: data analysis of vegetable intake from ‘Understanding Society’ (the UK Household Longitudinal Study)

The UK population is ageing and becoming more ethnically diverse(1). Nutrition is a key modifiable determinant of healthy ageing but there is little published data of dietary patterns in ethnic minority groups. The reasons for poor dietary habits of older adults from ethnic minority groups could be attributed to cost of living, language barriers, age, availability of traditional foods(2). As part of a larger research study to improve nutritional health in older adults (TANGERINE: nuTritional heAlth aNd aGeing in oldER ethnIc miNoritiEs), the aim of this study was to investigate vegetable intake in different older ethnic groups compared with a white (British) reference population.We used food frequency questionnaire (FFQ) data drawn from Wave 2 (2010-2012) and Wave 13 (2021-2022) of Understanding Society, a UK household panel survey(3). We calculated the proportions of vegetable intake by ethnic group for each wave, weighted for population representativeness, and used (weighted) logistic regression for intake (everyday vs less than every day) to adjust for potential confounders. Data from the WHO food insecurity questionnaire in wave 13 was used to evaluate the ethnic group differences in food insecurity.The percentage vegetable intake at least every day was reduced between Waves 2 and 13 in all ethnic groups. At both Waves all ethnic groups, except Indian ethnicity have lower vegetable intakes than white (British) reference group. The age and sex adjusted odds ratios (OR) (95% confidence intervals) at Wave 2 were 0.60 (0.51, 0.71) for Caribbean, 0.67 (0.56, 0.79) for African, 0.36 (0.28, 0.44) for Pakistani, 0.78 (0.62, 0.98) for Bangladeshi and 1.10 (0.94, 1.28) for Indian. The differences could be largely explained by lower income and greater area deprivation for Bangladeshi, less so for Caribbean, African and Pakistani groups. Results were similar for Wave 13. All ethnic groups, except Indian had higher odds of greater food insecurity than the white (British) reference group, largely attributed to income and area deprivation, for example, the OR for Pakistani group compared with white (British) reference group decreased from 1.74 (1.18, 2.56) to 1.05 (0.70, 1.58). However, for the African group, the OR remained greater than white reference population at 2.55 (1.73, 3.76) even after accounting for socioeconomic position.The findings suggest differences in vegetable intake between different ethnic groups which have been maintained between 2010-2012 and 2021-2022 and may be explained to some extent by socioeconomic disadvantage. Whilst we used cross-sectional analyses of self-reported data, there remains a need for further large-scale studies using longitudinal and experimental designs in older ethnic groups considering socioeconomic position, recognising the importance of heterogeneity and the need to analyse ethnic groups individually, rather than as a group for measurements of dietary intake.

Associations of perceived discrimination with health outcomes and health disparities in the All of Us cohort.

The goal of this study was to investigate the association of perceived discrimination with health outcomes and disparities. The study cohort consists of 60,180 participants from the four largest SIRE groups in the All of Us Research Program participant body: Asian (1,291), Black (4,726), Hispanic (5,336), and White (48,827). A perceived discrimination index (PDI) was derived from participant responses to the "Social Determinants of Health" survey, and the All of Us Researcher Workbench was used to analyze associations and mediation effects of PDI and self-identified race and ethnicity (SIRE) with 1,755 diseases. The Black SIRE group has the greatest median PDI, followed by the Asian, Hispanic, and White groups. The Black SIRE group shows the greatest number of diseases with elevated risk relative to the White reference group, followed by the Hispanic and Asian groups. PDI was found to be positively and significantly associated with 489 out of 1,755 (27.86%) diseases. 'Mental Disorders' is the disease category with the greatest proportion of diseases positively and significantly associated with PDI: 59 out of 72 (81.94%) diseases. Mediation analysis showed that PDI mediates 69 out of 351 (19.66%) Black-White disease disparities. Perceived discrimination is significantly associated with risk for numerous diseases and mediates Black-White disease disparities in the All of Us participant cohort. This work highlights the role of discrimination as an important social determinant of health and provides a means by which it can be quantified and modeled on the All of Us platform.

Ethnic and racialized disparities in the use of screening services for pap smears and mammograms in Canada.

Breast and cervical cancers pose significant health challenges for women globally, emphasizing the critical importance of effective screening programs for early detection. In Canada, despite the implementation of accessible healthcare systems, ethnic and racialized disparities in cancer screening persist. This study aims to assess ethnic and racialized disparities in breast and cervical cancer screening in Canada. Using 2015-2019 data from the Canadian Community Health Survey, we analyzed women aged 18-70 in distinct ethnic and racial groups. The primary outcome was mammography or Papanicolaou test (pap smear). The secondary outcome was time since the last screening. We used weighted multivariable logistic regression to estimate the odds of having a pap smear or mammography across the ethnic and racialized groups, adjusted for relevant covariates. Results were reported as odds ratios (ORs) with 95% confidence intervals (CIs). We included 14,628,067 women of which 72.5% were White, 8.4% Southeast Asian, 4.7% South Asian, 3.4% Indigenous, 2.7% Black, 2.0% West Asian, and 1.6% Latin American. In comparison with the White reference group, a higher odds ratio of not having a pap smear was estimated for the West Asian (5.63; CI 3.85, 8.23), South Asian (5.19; CI 3.79, 7.12), Southeast Asian (4.35; CI 3.46, 5.46), and Black groups (2.62; CI 1.82, 3.78). Disparities in mammography screening were found only for the Southeast Asian group with higher odds of not having screening (1.85; CI 1.15, 2.98) compared to the White reference group. This study reveals significant disparities in pap smear and mammography screenings affecting various ethnic groups, particularly in West Asia, South Asian, and Black communities. These findings underscore the urgent need for targeted interventions, policies, and healthcare strategies to address these gaps and ensure equitable access to essential breast and cervical cancer prevention across all ethnicity.

Designing bipolar anodizing towards white anodic aluminum oxide (AAO)

Obtaining white anodic aluminum oxide (AAO) is a major challenge in the surface finishing industry. The present work presents a cost-effective route to design light-scattering morphologies through submicrometric hollows homogeneously dispersed in the depth of the oxide layer, created by localized hydrogen evolution. To this end, cathodic steps are added in alternance with anodic steps in a bipolar pulse anodizing process performed in 2 M sulfuric acid. The mechanisms of nucleation and growth of the targeted hollows within the AAO are highlighted by combining in situ electrochemical measurements and high magnification SEM observations. The aesthetic performances in terms of white color, evaluated by reflectance spectroscopy in comparison with a white reference, are directly related to the size, shape and distribution of the hollows, controlled by both the parameters of the cathodic step and the thickness of the unit anodic oxide layers.

Florbetaben amyloid PET acquisition time: Influence on Centiloids and interpretation.

Amyloid positron emission tomography (PET) acquisition timing impacts quantification. In florbetaben (FBB) PET scans of 245 adults with and without cognitive impairment, we investigated the impact of post-injection acquisition time on Centiloids (CLs) across five reference regions. CL equations for FBB were derived using standard methods, using FBB data collected between 90 and 110 min with paired Pittsburgh compound B data. Linear mixed models and t-tests evaluated the impact of acquisition time on CL increases. CL values increased significantly over the scan using the whole cerebellum, cerebellar gray matter, and brainstem as reference regions, particularly in amyloid-positive individuals. In contrast, CLs based on white matter-containing reference regions decreased across the scan. The quantification of CLs in FBB PET imaging is influenced by both the overall scan acquisition time and the choice of reference region. Standardized acquisition protocols or the application of acquisition time-specific CL equations should be implemented in clinical protocols. Acquisition timing affects florbetaben positron emission tomography (PET) scan quantification, especially in amyloid-positive participants. The impact of acquisition timing on quantification varies across common reference regions. Consistent acquisitions and/or appropriate post-injection adjustments are needed to ensure comparability of PET data.

Glycaemic index and glycaemic load of selected packaged vegan foods.

While there are data regarding the glycaemic index (GI) and glycaemic load (GL) of many foods in the literature, the values for packaged vegan analogue foods have not been previously published, although processed vegan foods usually contain more carbohydrates than their animal-based counterparts. This study was carried out to determine the GI and GL values of a selection of packaged vegan foods popular in Türkiye. To determine the GI and GL of test foods, 12 healthy volunteer females participated in the study. Participants randomly consumed test and reference foods (glucose and white bread) on each trial day, and capillary blood glucose was measured at baseline, 15, 30, 45, 60, 90 and 120 mins in duplicate. The GIs of vegan schnitzel, vegan chickpea burger, vegan mince pita, vegan chocolate, vegan snack bar and vegan cheese were 26.1 ± 19.61 (low), 27.1 ± 17.21 (low), 65.1 ± 28.60 (moderate), 42.7 ± 22.32 (low), 63.6 ± 45.86 (moderate), 36.4 ± 16.85 (low), respectively, according to the glucose reference, and were 28.2 ± 16.17 (low), 34.7 ± 18.26 (low), 81.2 ± 31.96 (high), 48.8 ± 12.87 (low), 82.0 ± 54.05 (high), 46.7 ± 28.66 (low), respectively, according to the white bread reference. GLs were 3.5 ± 2.66 (low), 8.6 ± 5.46 (low), 26.6 ± 11.67 (high), 6.1 ± 3.19 (low), 14.2 ± 10.28 (moderate), 5.7 ± 2.63 (low), respectively, according to the glucose reference, and were 3.8 ± 2.19 (low), 11.0 ± 5.80 (moderate), 33.1 ± 13.04 (high), 7.0 ± 1.84 (low), 18.4 ± 12.12 (moderate), 7.3 ± 4.47 (low), respectively, according to the white bread reference. The data from this study provide preliminary data for the GIs and GLs of packaged and processed vegan foods and show that the GIs and GLs of meat and cheese vegan analogues, while still low or moderate, tend to be higher than their animal-based counterparts which have lower or no glycaemic responses. Further research on the GIs and GLs of more vegan foods is needed.

Individual differences in color matches and cone spectral sensitivities in 51 young adults.

Forty-six young adult observers with normal color vision (plus five from an earlier study) made a series of color matches using a new LED-based, multi-wavelength visual trichromator. Thirteen LED lights of different wavelengths were combined to produce 11 triplets of lights that observers were asked to match to a white reference light of 7500 K over visual angles of either 2° or 10°. Matches were initially made by asking observers to adjust the intensities of the three lights making up each triplet. As the experiment progressed, a more intuitive matching procedure was developed. By transforming the triplet of lights into CIELAB space, observers adjusted colors using lightness (L*), redness-greenness (a*), and blueness-yellowness (b*) to make the match with white. The new procedure proved easier for observers and reduced the inter- and intra-observer variability. Given that each of the 11 matches to the reference white for a given observer (obtained by either method) should produce identical L-, M- and S-cone excitations, we were able to use the matches to infer the individual cone spectral sensitivities for each observer and thus estimate the range of individual differences across our 51 observers. By applying a model of the CIEPO06 standard LMS observer, the photopigment, macular and lens optical densities and the L- and M-cone photopigment spectral shifts that best equated the three-cone excitations across the 11 matches were found for each observer. The individual differences were consistent with the CIEPO06 observer except for a 3 nm shift of the M-cone photopigment to longer wavelengths and a slightly denser 2-deg macular pigment density.

Community participation disparities among people with disabilities during the COVID-19 pandemic

Purpose To describe disparities in community participation during the COVID-19 pandemic among people with disabilities. Methods Respondents to Phase 3.3 of the COVID Household Pulse Survey (US Census Bureau) were classified by disability status. Risk ratios and risk differences were computed to compare the risk of poor outcomes on economic participation, community service use, and community activities by disability status - both overall (compared to the nondisabled reference) and by race/ethnicity (each subgroup compared to the White nondisabled reference). Results At least one type of disability was reported by 59.6% of respondents. People with disabilities were more likely to report in-person medical appointments but were at greater risk of poor outcomes across all other outcomes [risk ratio range = 1.01(1.01–1.02) to 1.91(1.80–2.01), risk difference range = 1.0(0.5–1.5) to 13.4(12.6–14.2)]. The disabled Black and disabled Hispanic/Latino groups experienced disproportionately high risk of poor outcomes across all indicators [risk ratio range = 1.0 (1.0–1.1) to 6.1 (5.0–7.1), risk difference range = 3.2 (1.9–4.4) to 33.1 (30.1–35.4)]. Conclusions The high number of people reporting disability, along with the notable disparities in community participation outcomes among those reporting disability, suggest the need for expanded rehabilitation services and community supports to enhance participation.

Racial and ethnic differences in plasma biomarker eligibility for a preclinical Alzheimer's disease trial.

In trials of amyloid-lowering drugs for Alzheimer's disease (AD), differential eligibility may contribute to under-inclusion of racial and ethnic underrepresented groups. We examined plasma amyloid beta 42/40 and positron emission tomography (PET) amyloid eligibility for the ongoing AHEAD Study preclinical AD program (NCT04468659). Univariate logistic regression models were used to examine group differences in plasma and PET amyloid screening eligibility. Of 4905 participants screened at time of analysis, 1724 were plasma eligible to continue in screening: 13.3% Hispanic Black, 24.7% Hispanic White, 20.8% non-Hispanic (NH) Asian, 24.7% NH Black, and 38.9% NH White. Plasma eligibility differed across groups in models controlling for covariates (odds ratio from 1.9 to 4.0 compared to the NH White reference group, P<0.001). Among plasma eligible participants, PET eligibility did not differ by group. These results suggest that prevalence of brain amyloid pathology differed, but that eligibility based on plasma was equally effective across racial and ethnic group members. Plasma amyloid eligibility is lower in underrepresented racial and ethnic groups. In plasma eligible adults, positron emission tomography eligibility rates are similar across race and ethnicity. Plasma biomarker tests may be similarly effective across racial and ethnic groups.

PET Quantification of [18F]VAT in Human Brain and Its Test-Retest Reproducibility and Age Dependence.

Molecular imaging of brain vesicular acetylcholine transporter provides a biomarker to explore cholinergic systems in humans. We aimed to characterize the distribution of, and optimize methods to quantify, the vesicular acetylcholine transporter-specific tracer (-)-(1-(8-(2-[18F]fluoroethoxy)-3-hydroxy-1,2,3,4-tetrahydronaphthalen-2-yl)-piperidin-4-yl)(4-fluorophenyl)methanone ([18F]VAT) in the brain using PET. Methods: Fifty-two healthy participants aged 21-97 y had brain PET with [18F]VAT. [3H]VAT autoradiography identified brain areas devoid of specific binding in cortical white matter. PET image-based white matter reference region size, model start time, and duration were optimized for calculations of Logan nondisplaceable binding potential (BPND). Ten participants had 2 scans to determine test-retest variability. Finally, we analyzed age-dependent differences in participants. Results: [18F]VAT was widely distributed in the brain, with high striatal, thalamic, amygdala, hippocampal, cerebellar vermis, and regionally specific uptake in the cerebral cortex. [3H]VAT autoradiography-specific binding and PET [18F]VAT uptake were low in white matter. [18F]VAT SUVs in the white matter reference region correlated with age, requiring stringent erosion parameters. Logan BPND estimates stabilized using at least 40 min of data starting 25 min after injection. Test-retest variability had excellent reproducibility and reliability in repeat BPND calculations for 10 participants (putamen, 6.8%; r > 0.93). We observed age-dependent decreases in the caudate and putamen (multiple comparisons corrected) and in numerous cortical regions. Finally, we provide power tables to indicate potential mean differences that can be detected between 2 groups of participants. Conclusion: These results validate a reference region for BPND calculations and demonstrate the viability, reproducibility, and utility of using the [18F]VAT tracer in humans to quantify cholinergic pathways.

Differences in Out-of-Hospital Cardiac Arrest Outcomes Among 5 Racial/Ethnic Groups

Objective Out-of-hospital cardiac arrest (OHCA) is a major health problem and one of the leading causes of death in adults older than 40. Multiple prior studies have demonstrated survival disparities based on race/ethnicity, but most of these focus on a single racial/ethnic group. This study evaluated OHCA variables and outcomes among on 5 racial/ethnic groups. Methods This is a retrospective review of data for adult patients in the Cardiac Arrest Registry to Enhance Survival (CARES) from 3 racially diverse urban counties in the San Francisco Bay Area from May 2009 to October 2021. Stratifying by 5 racial/ethnic groups, we evaluated patient survival outcomes based on patient demographics, emergency medical services response location, cardiac arrest characteristics, and hospital interventions. Adjusted risk ratios were calculated for survival to hospital discharge, controlling for sex, age, response locations, median income of response location, arrest witness, shockable rhythm, and bystander cardiopulmonary resuscitation as well as clustering by census tract. Results There were 10,757 patient entries analyzed: 42% White, 24% Black, 18% Asian, 9.3% Hispanic, 6.0% Pacific Islander, 0.7% American Indian/Alaska Native, and 0.1% multiple races selected; however, only the first 5 racial/ethnic groups had sufficient numbers for comparison. The adjusted risk ratio for survival to hospital discharge was lower among the 4 racial/ethnic groups compared with the White reference group: Black (0.79, p = 0.003), Asian (0.78 p = 0.004), Hispanic (0.79, p = 0.018), and Pacific Islander (0.78, p = 0.041) groups. The risk difference for positive neurologic outcome was also lower among all 4 racial/ethnic groups compared with the White reference group. Conclusions The Black, Asian, Hispanic, and Pacific Islander groups were less likely to survive to hospital discharge from OHCA when compared with the White reference group. No variables were associated with decreased survival across any of these 4 groups.

Abstract 6110: Computational exploration of genomic differences in Black patients treated with chemoradiation for head and neck squamous cell carcinoma (HNSCC)

Abstract Background: Black patients treated with chemoradiation for head and neck squamous cell carcinoma (HNSCC) experience significantly worse survival outcomes than White patients treated with the same modality. Our group aims to explore potential sociodemographic and biological factors undermining this differing response to therapy. Here, we present our computational findings of genomic differences in Black compared with White HNSCC patients receiving chemoradiation. Methods: We obtained gene expression, phenotype, and clinical datasets for the Cancer Genome Atlas (TCGA) HNSCC cohort from the UCSC Xena web browser. Of the 528 HNSCC patients, 131 (Black=13, White=118) of those receiving chemoradiation had gene expression, phenotype, and clinical data available. Our analysis included anatomic sites involving the oral cavity, hypopharynx, and larynx, and excluded the oropharynx. We performed differential gene expression analysis in Black compared with White (reference population) patients via edgeR in R studio (-log2FC &amp;lt; -1 or log2FC &amp;gt;1; p value &amp;lt; 0.05; FDR &amp;lt; 0.05). The Database for Annotation, Visualization, and Integrated Discovery (DAVID) webtool was used to identify significantly enriched molecular processes and pathways. Results: 462 genes were found to be significantly differentially expressed between Black and White HNSCC patients receiving chemoradiation. Of these genes, 198 were found to be higher in Black patients, and the most significant included JPH3, PCSK1N, DCUN1D5, CRYGS, and CCL7 (p &amp;lt; 0.005, FDR &amp;lt; 0.005). 264 were found to be lower in Black patients, with the most significant being KBTBD12, CMYA5, NEFH, LDB3, PYGM (p &amp;lt; 0.005, FDR &amp;lt; 0.005). Genes found to be higher in Black patients showed enrichment for processes such as EGFR tyrosine kinase inhibitor resistance (p &amp;lt; 0.005), drug metabolism (p &amp;lt; 0.005), and chemical carcinogenesis (p &amp;lt; 0.005). Genes found to be lower in Black patients showed enrichment for muscle-related processes such as myogenesis (p &amp;lt; 0.005), actin-binding (p &amp;lt; 0.005), muscle protein (p &amp;lt; 0.005), and hypertrophic cardiomyopathy (p &amp;lt; 0.005). Conclusion: In conclusion, using TCGA, we identified differentially expressed genes between Black and White HNSCC patients receiving chemoradiation. Moreover, these findings suggest that biological processes may differ in Black compared with White patients receiving chemoradiation, and this may dictate differing response to therapy. Additional studies will involve further computational analysis using other datasets for validation. Citation Format: Chayil C. Lattimore, Caretia J. Washington, Dejana Braithwaite, Shama D. Karanth, Kristianna M. Fredenburg. Computational exploration of genomic differences in Black patients treated with chemoradiation for head and neck squamous cell carcinoma (HNSCC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6110.

Challenges of fracture risk assessment in Asian and Black women.

Bone mineral density (BMD) and fracture risk calculators (eg, the Fracture Risk Assessment Tool [FRAX]) guide primary prevention care in postmenopausal women. BMD scores use non-Hispanic White (NHW) reference data for T-score classification, whereas FRAX incorporates BMD, clinical risk factors, and population differences when calculating risk. This study compares findings among Asian, Black, and NHW women who underwent osteoporosis screening in a US health care system. Retrospective cross-sectional study. Asian, Black, and NHW women aged 65 to 75 years who underwent BMD testing (with no recent fracture, osteoporosis therapy, metastatic cancer, multiple myeloma, metabolic bone disorders, or kidney replacement therapy) were compared across the following measures: femoral neck BMD (FN-BMD) T-score (normal ≥ -1, osteoporosis ≤ -2.5), high FRAX 10-year hip fracture risk (FRAX-Hip ≥ 3%), FRAX risk factors, and diabetes status. Among 3640 Asian women, 23.8% had osteoporosis and 8.7% had FRAX-Hip scores of at least 3% (34.5% among those with osteoporosis). Among 11,711 NHW women, 12.3% had osteoporosis and 17.2% had FRAX-Hip scores of at least 3% (84.8% among those with osteoporosis). Among 1711 Black women, 68.1% had normal FN-BMD, 4.1% had BMD-defined osteoporosis, and 1.8% had FRAX-Hip scores of at least 3% (32.4% among those with osteoporosis). Fracture risk factors differed by group. Diabetes was 2-fold more prevalent in Black and Asian (35% and 36%, respectively) vs NHW (16%) women. A large subset of Asian women have discordant BMD and FRAX scores, presenting challenges in osteoporosis management. Furthermore, FN-BMD and especially FRAX scores identified few Black women at high fracture risk warranting treatment. Studies should examine whether fracture risk assessment can be optimized in understudied racial minority populations, particularly when findings are discordant.

Disparities in Racial, Ethnic, and Payer Groups for Pediatric Safety Events in US Hospitals.

Health care disparities are pervasive, but little is known about disparities in pediatric safety. We analyzed a national sample of hospitalizations to identify disparities in safety events. In this population-based, retrospective cohort study of the 2019 Kids' Inpatient Database, independent variables were race, ethnicity, and payer. Outcomes were Agency for Healthcare Research and Quality pediatric safety indicators (PDIs). Risk-adjusted odds ratios were calculated using white and private payer reference groups. Differences by payer were evaluated by stratifying race and ethnicity. Race and ethnicity of the 5 243 750 discharged patients were white, 46%; Hispanic, 19%; Black, 15%; missing, 8%; other race/multiracial, 7%, Asian American/Pacific Islander, 5%; and Native American, 1%. PDI rates (per 10 000 discharges) were 331.4 for neonatal blood stream infection, 267.5 for postoperative respiratory failure, 114.9 for postoperative sepsis, 29.5 for postoperative hemorrhage/hematoma, 5.6 for central-line blood stream infection, 3.5 for accidental puncture/laceration, and 0.7 for iatrogenic pneumothorax. Compared with white patients, Black and Hispanic patients had significantly greater odds in 5 of 7 PDIs; the largest disparities occurred in postoperative sepsis (adjusted odds ratio, 1.55 [1.38-1.73]) for Black patients and postoperative respiratory failure (adjusted odds ratio, 1.34 [1.21-1.49]) for Hispanic patients. Compared with privately insured patients, Medicaid-covered patients had significantly greater odds in 4 of 7 PDIs; the largest disparity occurred in postoperative sepsis (adjusted odds ratios, 1.45 [1.33-1.59]). Stratified analyses demonstrated persistent disparities by race and ethnicity, even among privately insured children. Disparities in safety events were identified for Black and Hispanic children, indicating a need for targeted interventions to improve patient safety in the hospital.

An analytical survey of zinc white historical and modern artists’ materials

This study is the first systematic survey of a large corpus of zinc white (ZnO) artists’ materials. Zinc white is a white pigment developed within the wave of 19th-century technological developments in the paint industry. The composition, particle morphology and size, and luminescence of 49 zinc white samples from artists’ materials were characterized, including three references of known synthesis methods (indirect and direct) and synthesized by the authors (ZnO nanosmoke). The corpus included historical and modern zinc white pigment powders and paint materials from the leading European and American color manufacturers. The study aims to characterize and evaluate the variability of the properties of zinc white and its paint formulations. The reference materials presented properties in agreement with the literature: indirect ZnO exhibited submicron prismoidal blue-luminescent particles of higher purity than direct ZnO, which had larger acicular green-luminescent particles. ZnO nanosmoke presented acicular (tetrapod-like) blue/green-luminescent nanoparticles. Composition, particle morphology, size, and documentary sources suggested a production via the indirect method for the analyzed corpus. However, the luminescence behavior was more complex to interpret. The fundamental emission of ZnO was not always detected, even in pure ZnO powders. Three trends were identified: smaller ZnO particles for the most recent samples; green luminescence connected to larger particle size; fewer trace elements, and of the same type (i.e., lead, sulfur) for historical materials. Another interesting finding was the detection of hydrozincite in some powders, likely a degradation product of ZnO. In terms of methodology, cathodoluminescence proved a valuable tool for pigment identification. The study provides a database of zinc white references for pigment and artwork analysis.

Remote Sensing Techniques: Hyperspectral Imaging and Data Analysis.

Hyperspectral imaging is a remote sensing technique that enables remote, noninvasive measurement of plant traits. Here, we outline the procedures for camera setup, scanning, and calibration, along with the acquisition of black and white reference materials, which are the key steps in collecting hyperspectral imagery. We also discuss the development of predictive models such as partial least-squares regression, using both large and small datasets, which are used to predict plant traits from hyperspectral data. To ensure practical applicability, we provide code examples that allow readers to immediately implement these techniques in real-world scenarios. We introduce these topics to beginners in an accessible and understandable manner.

Racial disparities in the selection of chief resident: A cross-sectional analysis of a national sample of senior residents in the United States

IntroductionPart of the difficulty in recruiting and retaining a diverse physician workforce, as well as within medical leadership, is due to racial disparities in medical education. We investigated whether self-identified race-ethnicity is associated with the likelihood of selection as chief resident (CR). Materials and methodsWe performed a cross sectional analysis using de-identified person-level data from the GME Track, a national resident database and tracking system, from 2015 through 2018. The exposure variable, self-identified race-ethnicity, was categorized as African American or Black, American Indian or Alaskan Native, Asian, Hispanic, Latino or of Spanish Origin, Native Hawaiian or Pacific Islander, White, and Multi-racial. The primary study outcome was CR selection among respondents in their final program year. Logistic regression was used to estimate the adjusted odds ratios (aOR) and 95% confidence intervals (CI) of CR selection for each racial group, as compared to the White referent group. ResultsAmong the study population (N=121,247), Black, Asian and Hispanic race-ethnicity was associated with a significantly decreased odds of being selected as CR in unadjusted and adjusted analyses. Black, Asian and Hispanic residents had a 26% (aOR=0.74, 95% CI 0.66-0.83), 29% (aOR=0.71, 95% CI 0.66-0.76) and 28% (aOR=0.72, 95% CI 0.66-0.94) decreased likelihood of becoming CR, respectively. Multi-racial residents also had a decreased likelihood, but to a lesser degree (aOR=0.92, 95% CI 0.89-0.95). ConclusionsIn as much as CR is an honor that sets one up for future opportunity, our findings suggest that residents of color are disproportionately disadvantaged compared to their White peers.

Florbetapir PET Measurements of Amyloid Plaque Deposition are More Closely Correlated with Cross‐Sectional and Longitudinal Cognitive and Clinical Measurements Using a White Matter Reference Region of Interest

AbstractBackgroundWe previously reported stronger associations of FDG‐PET measured glucose hypometabolism with florbetapir PET measured Aβ deposition quantified using Standard Uptake Value Ratio (SUVR) with a cerebral white matter reference region (SUVRwm) compared to the commonly used SUVR with cerebellar reference region (SUVRcrblm) both cross‐sectionally and longitudinally (Wang et al., AAIC 2021). This study compared cross‐sectional and longitudinal associations of SUVRwm and SUVRcrblm with various cognitive/clinical measuresMethodOur study population consisted of 1133 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) including 206 participants clinically diagnosed with AD dementia, 563 with Mild Cognitive Impairment (MCI), and 364 cognitively unimpaired individuals (CU). We computed partial correlation of SUVRwm or SUVRcrblm, covarying out baseline age and years of education, with Mini Mental State Exam (MMSE); Clinical Dementia Rating Scale Sum Boxes and Global (CDR‐SB and CDGlobal); Alzheimer’s Disease Assessment Scale (ADAS11, ADAS13); Auditory Verbal Learning Test – Short Term Memory, Long Term Memory, and Total (AVLT STM, AVLT LTM, and AVLT Total respectively). Steiger’s Z‐test was used to compare SUVRwm and SUVRcrblm correlation coefficient differences with each of these cognitive/clinical measures at uncorrected p = 0.05 significance. Analyses were carried out over all subjects and within each diagnostic group, first for baseline data and then longitudinally.ResultCross sectionally, correlations were significantly stronger with SUVRwm than with SUVRcrblm for all subjects in all cognitive/clinical measures (all p&lt;1.314E‐04) with the strongest correlation of SUVRwmRef with MMSE (r = ‐0.4717 for SUVRwm and r = ‐0.3463 for SUVRcrblm; p = 1.93E‐13). The strongest correlation within AD subjects was found between SUVRwm and MMSE (r = ‐0.1432 for SUVRwm and r = 0.0459 for SUVRcrblm; p = 9.7063E‐04).Longitudinally, stronger SUVRwm correlations than SUVRcrblm with each of these cognitive measures were also observed over all subjects (p&lt;0.05), and significance with CDR‐SB and AVLT Total in AD; with MMSE, ADAS11, ADAS13, CDGlobal, CDR‐SB, AVLT Total in MCI; and with CDGlobal in CU.ConclusionThe use of cerebral white matter reference region for florbetapir PET SUVR quantification demonstrated stronger associations between amyloid deposition and cognitive measures than cerebellar reference region.