Social Media and the Allergist.

PURPOSE OF REVIEW: With this brief review, we summarize our findings of how allergists, professional organizations and patients within the allergy space are using social media to date. RECENT FINDINGS: Millions of Americans suffer from allergic conditions and it has been well established that there aren't enough allergists to help treat and reach each of these people. With a noticeable absence from social media platforms of board certified allergists with knowledge based in evidence and science, the vacuum has been filled by others - some of whom advocate for the exact things we discourage because they are not helpful, and can even be harmful, for our allergic patients. While there are drawbacks to using social media platforms, as a specialty we need to acknowledge and perhaps even embrace the idea that the use of social media can have a positive effect - as a means to not only introduce, engage and educate our patients and other HCPs, but also to reduce misinformation. Social media is a powerful tool that can be responsibly used by our allergy community to amplify our collective voice to share important health information with our patients and other healthcare professionals and we believe that more training and education needs to be done so that our speciality can join others in becoming a larger voice in the space.

A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness.

OBJECTIVES: We evaluated methods for preparing electronic health record data to reduce bias before applying artificial intelligence (AI). METHODS: We created methods for transforming raw data into a data framework for applying machine learning and natural language processing techniques for predicting falls and fractures. Strategies such as inclusion and reporting for multiple races, mixed data sources such as outpatient, inpatient, structured codes, and unstructured notes, and addressing missingness were applied to raw data to promote a reduction in bias. The raw data was carefully curated using validated definitions to create data variables such as age, race, gender, and healthcare utilization. For the formation of these variables, clinical, statistical, and data expertise were used. The research team included a variety of experts with diverse professional and demographic backgrounds to include diverse perspectives. RESULTS: For the prediction of falls, information extracted from radiology reports was converted to a matrix for applying machine learning. The processing of the data resulted in an input of 5,377,673 reports to the machine learning algorithm, out of which 45,304 were flagged as positive and 5,332,369 as negative for falls. Processed data resulted in lower missingness and a better representation of race and diagnosis codes. For fractures, specialized algorithms extracted snippets of text around keywork "femoral" from dual x-ray absorptiometry (DXA) scans to identify femoral neck T-scores that are important for predicting fracture risk. The natural language processing algorithms yielded 98% accuracy and 2% error rate The methods to prepare data for input to artificial intelligence processes are reproducible and can be applied to other studies. CONCLUSION: The life cycle of data from raw to analytic form includes data governance, cleaning, management, and analysis. When applying artificial intelligence methods, input data must be prepared optimally to reduce algorithmic bias, as biased output is harmful. Building AI-ready data frameworks that improve efficiency can contribute to transparency and reproducibility. The roadmap for the application of AI involves applying specialized techniques to input data, some of which are suggested here. This study highlights data curation aspects to be considered when preparing data for the application of artificial intelligence to reduce bias.

Exploring Attitudes Toward "Sugar Relationships" Across 87 Countries: A Global Perspective on Exchanges of Resources for Sex and Companionship.

The current study investigates attitudes toward one form of sex for resources: the so-called sugar relationships, which often involve exchanges of resources for sex and/or companionship. The present study examined associations among attitudes toward sugar relationships and relevant variables (e.g., sex, sociosexuality, gender inequality, parasitic exposure) in 69,924 participants across 87 countries. Two self-report measures of Acceptance of Sugar Relationships (ASR) developed for younger companion providers (ASR-YWMS) and older resource providers (ASR-OMWS) were translated into 37 languages. We tested cross-sex and cross-linguistic construct equivalence, cross-cultural invariance in sex differences, and the importance of the hypothetical predictors of ASR. Both measures showed adequate psychometric properties in all languages (except the Persian version of ASR-YWMS). Results partially supported our hypotheses and were consistent with previous theoretical considerations and empirical evidence on human mating. For example, at the individual level, sociosexual orientation, traditional gender roles, and pathogen prevalence were significant predictors of both ASR-YWMS and ASR-OMWS. At the country level, gender inequality and parasite stress positively predicted the ASR-YWMS. However, being a woman negatively predicted the ASR-OMWS, but positively predicted the ASR-YWMS. At country-level, ingroup favoritism and parasite stress positively predicted the ASR-OMWS. Furthermore, significant cross-subregional differences were found in the openness to sugar relationships (both ASR-YWMS and ASR-OMWS scores) across subregions. Finally, significant differences were found between ASR-YWMS and ASR-OMWS when compared in each subregion. The ASR-YWMS was significantly higher than the ASR-OMWS in all subregions, except for Northern Africa and Western Asia.

Preoperative survey to evaluate the patients' allergy list and its relevance to perioperative care.

INTRODUCTION: Perioperative hypersensitivity and allergic reactions can result in significant morbidity and mortality. For routine anesthetic care, allergies are determined from a review of the electronic medical record supplemented by a detailed patient history. Although the electronic medical record is generally assumed to be accurate, it may be that allergies are erroneously listed or not based on sound medical practice. The purpose of the current study is to evaluate allergies listed in the electronic medical record of children presenting for surgery and determine their origin, authenticity, and impact on perioperative care. METHODS: Eligible patients included those presenting for a surgical procedure in the main operating room, who were ≤ 21 years of age, with a drug allergy listed on the EMR. Prior to intraoperative care, an electronic survey questionnaire containing questions related to medication allergies was provided to a guardian or parent. Two anesthesiology physicians reviewed the survey responses to determine the validity of any reported allergies. A second electronic survey was given postoperatively to the attending anesthesiologist to determine whether the documented allergy impacted anesthetic care. RESULTS: The study cohort included 250 patients, ranging in age from 5 to 14 years (median age 9 years). All of the patients had at least one allergy listed on the electronic medical record. Seventy of the 250 patients (28%) had more than one drug allergy listed for a total of 351 medication allergies. The majority of the listed allergies were related to antibiotics including 155 (44%) from the penicillin family, 26 (7%) cephalosporins, 16 (5%) sulfonamides, and 36 (10%) other antimicrobial agents. Other commonly listed allergies were 27 (8%) nonsteroidal anti-inflammatory agents and 15 (4%) opioids. The remaining 76 (22%) included a miscellaneous list of other medications. On further review of the allergies, the survey was completed for 301 medications. After physician review, 135 of 301 (45%) responses were considered consistent with IgE reactions "true allergy," 73 (24%) were deemed less relevant to IgE reactions "unlikely true allergy," and 93 (31%) were not related to IgE reactions "not an allergy." Care alterations during surgery were uncommon regardless of whether the issue was assessed as a true allergy (11%), unlikely to be a true allergy (3%), or not a true allergy (13%). CONCLUSION: A significant portion of the documented allergies in children are not true allergies, but rather recognized adverse effects (apnea from an opioid, renal failure from an NSAIDs) or other nonallergic concerns (gastrointestinal upset such as nausea). Erroneously listed allergies may lead to unnecessary alterations in patient care during perioperative care. A careful analysis of the allergy list on the EMR should be supplemented by a thorough patient history with specific questions related to the drug allergy. Once this is accomplished, the allergy listed should be updated to avoid its erroneous impact on perioperative care.

Chronic aluminium chloride exposure induces redox imbalance, metabolic distress, DNA damage, and histopathologic alterations in Wistar rat liver.

Aluminium, a ubiquitous environmental toxicant, is distinguished for eliciting a broad range of physiological, biochemical, and behavioural alterations in laboratory animals and humans. The present work was conducted to study the functional and structural changes induced by aluminium in rat liver. Twenty five adult male Wistar rats (150-200 g) were randomly divided into five groups; control group and four Al-treated groups viz: Al 1 (25 mg AlCl3/kg b.wt), Al 2 (35 mg AlCl3/kg b.wt), Al 3 (45 mg AlCl3/kg b.wt), and Al 4 (55 mg AlCl3/kg b.wt). Rats in the aluminium-treated groups were administered AlCl3 for 30 days through oral gavage. Aluminium significantly increased the serum levels of liver function markers (ALT, AST, and ALP), phospholipids, and cholesterol. The activities of hepatocyte membrane (ALP, GGT, and LAP) and carbohydrate metabolic (G6P, F16BP, HK, LDH, MDH, ME, and G6PDH) enzymes were significantly altered by AlCl3 administration. Prolonged Al exposure induced oxidative stress in the liver, as evident by significant hepatocellular DNA damage, increased lipid peroxidation, and decreased non-enzymatic and enzymatic antioxidants. The toxic effects observed in this study were AlCl3 dose-dependent. Histopathological examination of liver sections revealed enlargement of sinusoidal spaces, derangement of the hepatic chord, loss of discrete hepatic cell boundaries, congestion of hepatic sinusoids, and degeneration of hepatocytes in Al-intoxicated rats. In conclusion, aluminium causes severe hepatotoxicity by inhibiting the hepatocyte membrane enzymes and disrupting the liver's energy metabolism and antioxidant defence.

Engaging Participants Through Hybrid Community-Centered Approaches: Lessons Learned During the COVID CommUNITY Public Health Research Program.

Community-centered research studies can improve trust, cultural appropriateness, and accurate findings through meaningful, in-depth engagement with participants. During the COVID-19 pandemic, researchers shifted to implement pandemic-specific guidelines on top of already existing safety practices; these adjustments gave insight into bettering the structure of forthcoming research studies. At the Population Health Research Institute (PHRI)/McMaster University, the COVID CommUNITY study staff took field notes from their experience at the Ontario (ON) and British Columbia (BC) sites navigating an observational prospective cohort study during the pandemic. These field notes are outlined below to provide insight into culturally responsive, trust-centered, and communication-focused strategies used to improve hybrid research. A significant challenge the team overcame was obtaining blood sample collections by executing socially distanced sample collections outside of participants' homes, coined "Porch Pickups." Data collection was made more accessible through phone surveys and frequent virtual contact. To enhance recruitment strategies for sub-communities of the South Asian population, staff focused on cultural interests and "gift-exchange" incentives. Cultural awareness was prioritized through correct name pronunciation, conducting data collection in participant preferred languages, and using flexible approaches to data collection. These strategies were developed through weekly team meetings where improvement strategies were discussed, and concerns were addressed in real-time.

New advances in type 1 diabetes.

Type 1 diabetes is an autoimmune condition resulting in insulin deficiency and eventual loss of pancreatic ß cell function requiring lifelong insulin therapy. Since the discovery of insulin more than 100 years ago, vast advances in treatments have improved care for many people with type 1 diabetes. Ongoing research on the genetics and immunology of type 1 diabetes and on interventions to modify disease course and preserve ß cell function have expanded our broad understanding of this condition. Biomarkers of type 1 diabetes are detectable months to years before development of overt disease, and three stages of diabetes are now recognized. The advent of continuous glucose monitoring and the newer automated insulin delivery systems have changed the landscape of type 1 diabetes management and are associated with improved glycated hemoglobin and decreased hypoglycemia. Adjunctive therapies such as sodium glucose cotransporter-1 inhibitors and glucagon-like peptide 1 receptor agonists may find use in management in the future. Despite these rapid advances in the field, people living in under-resourced parts of the world struggle to obtain necessities such as insulin, syringes, and blood glucose monitoring essential for managing this condition. This review covers recent developments in diagnosis and treatment and future directions in the broad field of type 1 diabetes.

Testosterone concentrations and associated predictors in men with cystic fibrosis: A retrospective, single-center study.

BACKGROUND: Men with cystic fibrosis (CF) have sexual health concerns such as delayed puberty, infertility, and hypogonadism. The causes and prevalence of hypogonadism have not been well studied. The purpose of this study was to determine the prevalence of a low testosterone concentration in men with CF. METHODS: This retrospective study was approved by the Emory University Institutional Review Board (IRB). Data were extracted from the electronic medical records of adult men with CF receiving care at the Emory Cystic Fibrosis Center. A total of 129 men with CF were followed at our center from 2016 to 2023. Of these individuals, 76 men with CF (58.9%) had at least one serum total testosterone measurement. Seven individuals were excluded from this study since they were currently receiving testosterone therapy, leaving a final sample size of 69 individuals for the analysis. Demographic data, serum testosterone concentrations, and other factors associated with low testosterone concentrations were collected. Low testosterone was defined as a value below 300 ng/dL. Regression analyses were used to determine factors associated with low testosterone levels. RESULTS: The mean (± SD) age of the 69 eligible participants was 33.34 ± 10.98 years. The mean testosterone concentration was 421 ± 158.5 ng/dL with 27.54 percent of men with a testosterone value below 300 ng/dL. The mean hemoglobin level was 14.23 ± 2.18 g/dL. Testosterone levels were positively related to hemoglobin levels. Time of day of measurement and age were not associated with testosterone levels. CONCLUSION: Roughly a quarter of men with CF demonstrated low testosterone in our sample. Low hemoglobin was associated with low testosterone levels in men with CF. Neither time of day nor age influenced testosterone concentrations in this sample.

Sociodemographic factors associated with vaccine hesitancy in the South Asian community in Canada.

OBJECTIVE: South Asians represent the largest non-white ethnic group in Canada and were disproportionately impacted by the COVID-19 pandemic. We sought to determine the factors associated with vaccine hesitancy in South Asian Canadians. METHODS: We conducted a cross-sectional analysis of vaccine hesitancy using data collected at the baseline assessment of a prospective cohort study, COVID CommUNITY South Asian. Participants (18 + years) were recruited from the Greater Toronto and Hamilton Area in Ontario (ON) and the Greater Vancouver Area in British Columbia (BC) between April and November 2021. Demographic characteristics and vaccine attitudes measured by the Vaccine Attitudes Examination (VAX) scale were collected. Each item is scored on a 6-point Likert scale, and higher scores reflect greater hesitancy. A multivariable linear mixed effects model was used to identify sociodemographic factors associated with vaccine hesitancy, adjusting for multiple covariates. RESULTS: A total of 1496 self-identified South Asians (52% female) were analyzed (mean age = 38.5 years; standard deviation (SD): 15.3). The mean VAX score was 3.2, SD: 0.8 [range: 1.0‒6.0]. Factors associated with vaccine hesitancy included: time since immigration (p = 0.04), previous COVID-19 infection (p < 0.001), marital status (p < 0.001), living in a multigenerational household (p = 0.03), age (p = 0.02), education (p < 0.001), and employment status (p = 0.001). CONCLUSION: Among South Asians living in ON and BC, time since immigration, prior COVID-19 infection, marital status, living in a multigenerational household, age, education, and employment status were associated with vaccine hesitancy. This information can be used to address vaccine hesitancy in the South Asian population in future COVID-19 waves or pandemics.

RéSUMé: OBJECTIF: Les Asiatiques du Sud, qui représentent le plus grand groupe ethnique non-blanc au Canada, ont été démesurément touchés par la pandémie de COVID-19. Nous avons cherché à déterminer les facteurs associés à l'hésitation vaccinale chez les Canadiennes et les Canadiens asiatiques du Sud. MéTHODE: Nous avons mené une analyse transversale de l'hésitation vaccinale à l'aide des données collectées durant l'évaluation préliminaire d'une étude de cohorte prospective du nom de COVID CommUNITY South Asian. Les personnes participantes (18 ans et plus) ont été recrutées dans la région du grand Toronto et de Hamilton, en Ontario, et dans la région du Grand Vancouver, en Colombie-Britannique, entre avril et novembre 2021. Le profil démographique et les attitudes face aux vaccins, mesurées selon l'échelle Vaccine Attitudes Examination (VAX), ont été obtenus. Chaque élément a été noté selon une échelle de Likert en 6 points (plus la note est élevée, plus l'hésitation vaccinale est importante). Un modèle linéaire multivarié à effets mixtes a servi à identifier les facteurs sociodémographiques associés à l'hésitation vaccinale, en rajustant les données pour tenir compte de plusieurs covariables. RéSULTATS: En tout, 1 496 personnes s'identifiant comme étant Asiatiques du Sud (dont 52 % de femmes) ont été analysées (âge moyen = 38,5 ans; écart-type [S] : 15,3). La note VAX moyenne était de 3,2, S : 0,8 [intervalle : 1,0‒6,0]. Les facteurs associés à l'hésitation vaccinale étaient : le temps écoulé depuis l'immigration (p = 0,04), une infection antérieure par la COVID-19 (p < 0,001), l'état matrimonial (p < 0,001), le fait de vivre dans un ménage multigénérationnel (p = 0,03), l'âge (p = 0,02), l'instruction (p < 0,001) et la situation d'emploi (p = 0,001). CONCLUSION: Chez les Asiatiques du Sud vivant en Ontario et en Colombie-Britannique, le temps écoulé depuis l'immigration, une infection antérieure par la COVID-19, l'état matrimonial, le fait de vivre dans un ménage multigénérationnel, l'âge, l'instruction et la situation d'emploi étaient associés à l'hésitation vaccinale. Ces informations peuvent être utilisées pour aborder l'hésitation vaccinale dans la population asiatique du Sud lors de vagues de COVID-19 ou de pandémies futures.

Prioritizing sexual and reproductive health research and care for people with cystic fibrosis: A 2023 workshop report from the Cystic Fibrosis Foundation Sexual Health, Reproduction, and Gender (SHARING) Research Working Group.

BACKGROUND: To address sexual and reproductive health (SRH) concerns among people with cystic fibrosis(PwCF), the CF Foundation created the Sexual Health, Reproduction, and Gender Research (SHARING) Working Group. This report summarizes CF community SRH research priorities and workshop discussions/future study planning. METHODS: Pre-workshop, we distributed a community prioritization survey on CF SRH research/care. During the workshop, we used results and reviewed existing research to establish research priorities and design studies to address identified knowledge gaps. RESULTS: A total of 303 respondents (85 % PwCF, 15 % caregivers) completed the survey. Highly-rated SRH topics were: 1) effects of CF modulator therapy on sex hormones; 2) effects of sex hormones on CF; 3) fertility; 4) pregnancy; and 5) SRH/mental health. Twenty-four workshop participants established the need for further research on sex hormones and CF, optimizing SRH care provision, and fertility/ART. CONCLUSION: SRH is an important and emerging area in CF and thoughtful consideration of community perspectives can ensure that future research is relevant and responsive.

Identification of hepatic steatosis among persons with and without HIV using natural language processing.

BACKGROUND: Steatotic liver disease (SLD) is a growing phenomenon, and our understanding of its determinants has been limited by our ability to identify it clinically. Natural language processing (NLP) can potentially identify hepatic steatosis systematically within large clinical repositories of imaging reports. We validated the performance of an NLP algorithm for the identification of SLD in clinical imaging reports and applied this tool to a large population of people with and without HIV. METHODS: Patients were included in the analysis if they enrolled in the Veterans Aging Cohort Study between 2001 and 2017, had an imaging report inclusive of the liver, and had ≥2 years of observation before the imaging study. SLD was considered present when reports contained the terms "fatty," "steatosis," "steatotic," or "steatohepatitis." The performance of the SLD NLP algorithm was compared to a clinical review of 800 reports. We then applied the NLP algorithm to the first eligible imaging study and compared patient characteristics by SLD and HIV status. RESULTS: NLP achieved 100% sensitivity and 88.5% positive predictive value for the identification of SLD. When applied to 26,706 eligible Veterans Aging Cohort Study patient imaging reports, SLD was identified in 72.2% and did not significantly differ by HIV status. SLD was associated with a higher prevalence of metabolic comorbidities, alcohol use disorder, and hepatitis B and C, but not HIV infection. CONCLUSIONS: While limited to those undergoing radiologic study, the NLP algorithm accurately identified SLD in people with and without HIV and offers a valuable tool to evaluate the determinants and consequences of hepatic steatosis.