Perspective on the Journal of Physician Assistant Education : From Association Newsletter to Academic Peer-Reviewed Journal Celebrating 25 Years.

ABSTRACT: For 25 years, the Journal of PA Education (JPAE) and its predecessor publications have been the pre-eminent venues for disseminating and promulgating information and research on the physician assistant (PA) profession. In this article, former and current editors in chief have compiled a detailed history of the journal, its development, and its trajectory into the future, outlining the journey taken by Association of PA Programs/PA Education Association to catalog faculty scholarship through a peer-reviewed journal. Allowing for the referencing of articles and thus adding to the body of knowledge on PAs and PA education, JPAE has not only endured but thrived. This article speaks to the collective effort and excellence of staff, and the many volunteer reviewers, feature editors, and editorial board members who have nurtured JPAE along the way through numerous changes, challenges, and triumphs.

Non-native English-speaking applicants and the likelihood of physician assistant program matriculation.

PURPOSE: Effective communication is critical in patient care. Multilingual medical providers, including Physician Assistants (PAs) can contribute to improved health care among patients with limited English proficiency; however, this is contingent upon matriculating multilingual providers. In this study, the association between prospective applicants' self-reported English as second language (ESL) status and their likelihood of matriculation into a PA program was investigated. METHODS: Participants included applicants to five admission cycles of the Centralized Application Service for Physician Assistant from 2012 to 2020. Logistic regression was utilized to investigate association between applicant ESL status and odds of program matriculation in both bivariate and multivariable regression models. Models were adjusted for citizenship status, undergraduate grade point average, gender, age, race/ethnicity, number of programs applied to, and patient care hours. RESULTS: In unadjusted and adjusted models, ESL status was associated with a significantly lower odds of matriculation to a PA program across all study years. In adjusted multivariable models, associations were strongest for 2014-2015 where ESL status was associated with a 35% lower odds of matriculation (odds ratio 0.65, 95% confidence interval 0.56, 0.76) when controlling for demographics, citizenship status, patient care experience, and academic achievement. In sensitivity analyses restricting to (a) those with TOEFL scores ≥ 100, and (b) restricting to those ESL applicants without TOEFL scores, we did not observe important changes in our results. CONCLUSIONS: Results indicated that non-native English-speaking applicants have lower odds of PA program matriculation. Decrements in matriculation odds were large magnitude, minimally impacted by adjustment for confounders and persistent across the years. These findings suggest that PA program admission processes may disadvantage non-native English-speaking applicants. While there are potential explanations for the observed findings, they are cause for concern. Matriculating and training PAs who have language concordance with underserved populations are important means of improving patient outcomes.

Blue Sky Thinking: Physician Assistant Accreditation and the Potential Impact on the Programs, Faculty, and the Profession.

ABSTRACT: Blue sky thinking references the opportunity to brainstorm about a topic without limits… to consider what things might be like if creative thoughts were unconstrained by current philosophies or other boundaries. This article is a call to our fellow educators to consider how blue sky thinking applied to physician assistant (PA) program accreditation might further advance programs, faculty, and the profession. To develop and maintain a PA program, institutions must voluntarily undergo evaluation by the Accreditation Review Commission on Education for the Physician Assistant. Compliance with accreditation encourages sound educational practices, promotes program self-study, stimulates innovation, maintains confidence with the public, and focuses on continuous quality improvement. In addition, accreditation "can hold institutions accountable for desired outcomes and professional standards." Indeed, while the PA profession has promulgated across the globe, the 50+ years of graduating PAs educated with the highest quality education assures that the United States remains a gold standard. As the 5th edition of the standards are implemented and planning for the 6th edition is underway, in the spirit of continuous quality improvement, we encourage stakeholders of the PA profession to contemplate ways in which accreditation might continue to purposefully advance a desired future state for the profession. In this article, we draw on examples from other health professions which might inform a discussion around the future of PA accreditation. Specifically, the topics of a unified profession title and degree, a specific title and position for program leadership, a modification to how PA programs receive medical direction, and efforts to advance scholarship are addressed.

Military Veteran Matriculation in US Physician Associate/Assistant Programs.

INTRODUCTION: This study aims to determine whether veterans have differential access to physician associate/assistant (PA) education by examining likelihood of matriculation relative to nonveteran peers. We explore associations between veteran status and likelihood of matriculation for change over time and whether effects differ among active duty versus non-active-duty applicants. METHODS: Multivariate logistic regression was used to investigate associations between self-identified military status and likelihood of PA program matriculation in five Centralized Applicant Services for Physician Assistants admissions cycles (2012-2013, 2014-2015, 2016-2017, 2018-2019, 2020-2021). Models controlled for age, sex, race/ethnicity, patient care experience hours, total undergraduate grade point average, and number of applications submitted and applied a Bonferroni correction for alpha inflation. RESULTS: Veteran applicant numbers were small across the study time frame but increased from 2012 (n = 708) to 2020 (n = 978), representing a 38% increase over the lookback period. Despite growth, the proportion of veterans in the matriculant pool has decreased from 4.2% in 2012 to 3.0% in 2020. In unadjusted models, military status was not strongly associated with odds of matriculation. In adjusted models, both veteran and active-duty status were associated with higher odds of matriculation, although this increase was not statistically significant at the 0.005 level for applicants on active-duty. DISCUSSION: Military veterans and active-duty military personnel have higher likelihood of matriculation into US PA programs relative to nonveteran peers. The proportion of veterans in the matriculant pool has decreased over time. This suggests that while PA programs seems to value previous military experience, further efforts to evaluate and address barriers to military veterans in applying for admissions is needed.

Implicit Association Test Alone Is Not Sufficient to Increase Underrepresented Minority Representation in Physician Assistant Programs.

PURPOSE: Physician assistant (PA) program matriculants are consistently less diverse than the US population. This study evaluates whether administration of an Implicit Association Test (IAT) to PA program admission committees is associated with changes in the likelihood of (1) receiving an admission interview, (2) receiving an offer of admission, and (3) matriculation of individuals underrepresented in medicine (URiM). METHODS: Admission committees from 4 PA programs participated in an IAT before the 2019/2020 admissions cycle. Applicant outcome data (n = 5796) were compared with 2018/2019 cycle (n = 6346). Likelihood of URiM students receiving offers to interview, offers of admission, and matriculation were evaluated using random effects multiple logistic regression models. Fully adjusted random effects models included URiM status, year (control vs. intervention), multiplicative interaction terms between URiM and year, applicant age, and undergraduate grade point average (GPA) Secondary analyses examined associations of each race/ethnicity individually. RESULTS: Underrepresented in medicine status, age, and GPA were significantly associated with all admission outcomes ( P < .05). The intervention effect was not statistically significant. In sensitivity analyses examining each individual race rather than URiM status, our results did not importantly differ. CONCLUSION: Findings suggest admission committee member participation in IAT before admissions had no significant impact on the likelihood of admission of URiM students. This may suggest that making individuals aware of their implicit biases is not, in and of itself, sufficient to meaningfully affect the diversity of PA program admission metrics.

Predictors of applicant pool racial and ethnic diversity among physician assistant education programs: a national cross-sectional cohort study.

BACKGROUND: Numerous studies have demonstrated that the increasing racial and ethnic diversity of the US population benefits from access to healthcare providers from similarly diverse backgrounds. Physician assistant (PA) education programs have striven to increase the diversity of the profession, which is predominantly non-Hispanic white, by focusing on admitting students from historically excluded populations. However, strategies such as holistic admissions are predicated on the existence of racially and ethnically diverse applicant pools. While studies have examined correlates of matriculation into a medical education program, this study looks earlier in the pipeline and investigates whether applicant - not matriculant - pool diversity varies among PA programs with different characteristics. METHODS: Data were drawn from the 2017-2018 Central Application Service for PAs admissions cycle. Applications to programs with pre-professional tracks and applicants missing race/ethnicity data were excluded, resulting in data from 26,600 individuals who applied to 189 PA programs. We summarized the racial and ethnic diversity of each program's applicant pools using: [1]the proportion of underrepresented minority (URM) students, [2]the proportion of students with backgrounds underrepresented in medicine (URiM), and [3]Simpson's diversity index of a 7-category race/ethnicity combination. We used multiple regressions to model each diversity metric as a function of program characteristics including class size, accreditation status, type of institution, and other important features. RESULTS: Regardless of the demographic diversity metric examined, we found that applicant diversity was higher among provisionally accredited programs and those receiving more applications. We also identified trends suggesting that programs in more metropolitan areas were able to attract more diverse applicants. Programs that did not require the GRE were also able to attract more diverse applicants when considering the URM and SDI metrics, though results for URiM were not statistically significant. CONCLUSIONS: Our findings provide insights into modifiable (e.g., GRE requirement) and non-modifiable (e.g., provisionally accredited) program characteristics that are associated with more demographically diverse applicant pools.

Impacts of Indoor Dust Exposure on Human Colonic Cell Viability, Cytotoxicity and Apoptosis.

INTRODUCTION: Environmental exposure to indoor dust is known to be associated with myriad health conditions, especially among children. Established routes of exposure include inhalation and non-dietary ingestion, which result in the direct exposure of gastrointestinal epithelia to indoor dust. Despite this, little prior research is available on the impacts of indoor dust on the health of human gastrointestinal tissue. METHODS: Cultured human colonic (CCD841) cells were exposed for 24 h to standard trace metal dust (TMD) and organic contaminant dust (OD) samples at the following concentrations: 0, 10, 25, 50, 75, 100, 250, and 500 µg/mL. Cell viability was assessed using an MTT assay and protease analysis (glycyl-phenylalanyl-aminofluorocoumarin (GF-AFC)); cytotoxicity was assessed with a lactate dehydrogenase release assay, and apoptosis was assessed using a Caspase-Glo 3/7 activation assay. RESULTS: TMD and OD decreased cellular metabolic and protease activity and increased apoptosis and biomarkers of cell membrane damage (LDH) in CCD841 human colonic epithelial cells. Patterns appeared to be, in general, dose-dependent, with the highest TMD and OD exposures associated with the largest increases in apoptosis and LDH, as well as with the largest decrements in metabolic and protease activities. CONCLUSIONS: TMD and OD exposure were associated with markers of reduced viability and increased cytotoxicity and apoptosis in human colonic cells. These findings add important information to the understanding of the physiologic effects of indoor dust exposure on human health. The doses used in our study represent a range of potential exposure levels, and the effects observed at the higher doses may not necessarily occur under typical exposure conditions. The effects of long-term, low-dose exposure to indoor dust are still not fully understood and warrant further investigation. Future research should explore these physiological mechanisms to further our understanding and inform public health interventions.

Understanding the scope of practice of physician associate/physician associate comparable professions using the World Health Organization global competency and outcomes framework for universal health coverage.

BACKGROUND: Physician Associate and Physician Associate comparable (PA/PA-comparable) professions are classified by the 2012 International Labour Classification of Occupations within ISCO group 2240 paramedical practitioners. However, to date, there is no single global framework which categorizes and/or describes their scopes of practice, or a single unifying occupational group name. In 2022, the World Health Organization (WHO) published its Global Competency and Outcomes Framework for Universal Health Coverage which focuses on the practice activities for health workers with a pre-service training pathway of 12-48 months, thus including many PA/PA-comparable roles. In this study we describe the similarities and differences between the SOP documents for PA/PA-comparable professions with a pre-service pathway of 12-48 months, thus excluding any extra-training and specializations, from 25 countries using the WHO Framework as a frame of reference. METHODS: SOP documents were collected from 25 countries and mapped to the WHO Framework by 3 independent reviewers. We used descriptive statistics to examine the percent agreement between the WHO Framework and SOP documents by country, as well as the ubiquity of each WHO practice activity across the examined documents. To test the hypothesis that country-specific economic indicators and healthcare workforce metrics may be linked to the presence or absence of specific SOP elements, we utilized Wilkoxon and Fisher Exact tests to examine associations between World Bank economic indicators and country specific healthcare workforce metrics and presence/absence of specific WHO Framework practice activities within each SOP. RESULTS: We identified significant heterogeneity between the WHO practice activities reported in the 25 SOP documents, particularly related to the provision of individual health services. We also identified statistically significant associations between World Bank economic indicators and country specific healthcare workforce metrics and presence/absence of the following seven practice activities relating to Individual Health, Population Health, and Management and Organization practice domains: (1) "Formulating a judgement following a clinical encounter," (2) "Assessing community health needs" (3) "Planning and delivering community health programmes," (4) "Managing public health communication," (5) "Developing preparedness for health emergencies and disasters, including disease outbreaks," (6) "Providing workplace-based learning and supervision," and (7) "Participating in evaluation and research." In each case, presence of the above practice activities was associated with lower health economic and workforce indicators, suggesting that these SOP practice activities are more common in lower income countries and countries with a smaller per-capita health workforce. CONCLUSIONS: The WHO practice activities provide an effective framework to catalogue and compare the responsibilities of PA/PA-comparable professions recorded by country specific SOP documents. This approach could also be used to compare different occupational SOPs within a country, as well as SOPs between countries. The authors propose that additional information relating to the types of procedures and the level of supervision or autonomy would enable a more comprehensive comparison of SOPs, going beyond the granularity offered by the WHO framework. At that level, the evaluation could then be used to inform gap analyses for training needs in the context of migration, or to better understand the health team skill mixes across different countries. The study also offers reflections on the importance of clarity of intended meaning within the SOP documents.

The Impact of Long-Term Air Pollution Exposure on Type 1 Diabetes Mellitus-Related Mortality among U.S. Medicare Beneficiaries.

BACKGROUND: Little of the previous literature has investigated associations between air pollution exposure and type 1 diabetes mellitus (T1DM)-related mortality, despite a well-established link between air pollution exposure and other autoimmune diseases. METHODS: In a cohort of 53 million Medicare beneficiaries living across the conterminous United States, we used Cox proportional hazard models to assess the association of long-term PM2.5 and NO2 exposures on T1DM-related mortality from 2000 to 2008. Models included strata for age, sex, race, and ZIP code and controlled for neighborhood socioeconomic status (SES); we additionally investigated associations in two-pollutant models, and whether associations were modified by participant demographics. RESULTS: A 10 µg/m3 increase in 12-month average PM2.5 (HR: 1.183; 95% CI: 1.037-1.349) and a 10 ppb increase in NO2 (HR: 1.248; 95% CI: 1.089-1.431) was associated with an increased risk of T1DM-related mortality in age-, sex-, race-, ZIP code-, and SES-adjusted models. Associations for both pollutants were consistently stronger among Black (PM2.5: HR:1.877, 95% CI: 1.386-2.542; NO2: HR: 1.586, 95% CI: 1.258-2.001) and female (PM2.5: HR:1.297, 95% CI: 1.101-1.529; NO2: HR: 1.390, 95% CI: 1.187-1.627) beneficiaries. CONCLUSIONS: Long-term NO2 and, to a lesser extent, PM2.5 exposure is associated with statistically significant elevations in T1DM-related mortality risk.

PA applicant U.S. citizenship status and likelihood of program matriculation.

BACKGROUND: Barriers to matriculation into Physician Assistant (PA) programs and entry into the PA profession have disproportionate impact on historically marginalized groups. This study evaluates if U.S. citizenship status is associated with likelihood of matriculation in PA Programs. METHODS: Data from five Centralized Applicant Services for Physician Assistants (CASPA) admissions cycles (2012-2021) was evaluated cross-sectionally for the primary outcome of binary matriculation status (yes/no). Bivariate and multivariate logistic regression was utilized to investigate associations between self-identified U.S. citizenship status and likelihood of PA program matriculation. Models controlled for important potential confounders, including age, gender, race/ethnicity, non-native English speaker, patient care experience hours, total undergraduate grade point average (GPA), and number of applications submitted to various programs. RESULTS: Non-U.S. citizen status was statistically associated with persistent lower likelihood of PA program matriculation compared to U.S. citizenship. Odds of matriculation were 41% [OR 0.59 (95% CI: 0.51, 0.68; p <.001)] to 51% [OR 0.49 (95% CI: 0.41, 0.58; p <.001)] lower in unadjusted models. Odds were 32% [OR 0.68 (95% CI: 0.56, 0.83; p <.001)] to 42% OR 0.58 (95% CI: 0.48, 0.71; p <.001) lower when adjusting for important covariates. The lowest likelihood occurred in 2012-2013 with 51% lower odds of matriculation and in 2016-2017 with 42% lower odds when accounting for important covariates. DISCUSSION: PA programs are charged with improving diversity of clinically practicing PAs to improve health outcomes and better reflect patient populations. This analysis shows that non-U.S. citizenship may be a barrier to PA school acceptance. PA schools should raise awareness and create means and accessibility for admissions for this underrepresented group.

A Machine Learning Approach to Identify Predictors of Severe COVID-19 Outcome in Patients With Rheumatoid Arthritis.

BACKGROUND: Rheumatoid arthritis (RA) patients have a lowered immune response to infection, potentially due to the use of corticosteroids and immunosuppressive drugs. Predictors of severe COVID-19 outcomes within the RA population have not yet been explored in a real-world setting. OBJECTIVES: To identify the most influential predictors of severe COVID-19 within the RA population. STUDY DESIGN: Retrospective cohort study. SETTING: Research was conducted using Optum's de-identified Clinformatics® Data Mart Database (2000-2021Q1), a US commercial claims database. METHODS: We identified adult patients with index COVID-19 (ICD-10-CM diagnosis code U07.1) between March 1, 2020, and December 31, 2020. Patients were required to have continuous enrollment and have evidence of one inpatient or 2 outpatient diagnoses of RA in the 365 days prior to index. RA patients with COVID-19 were stratified by outcome (mild vs severe), with severe cases defined as having one of the following within 60 days of COVID-19 diagnosis: death, treatment in the intensive care unit (ICU), or mechanical ventilation. Baseline demographics and clinical characteristics were extracted during the 365 days prior to index COVID-19 diagnosis. To control for improving treatment options, the month of index date was included as a potential independent variable in all models. Data were partitioned (80% train and 20% test), and a variety of machine learning algorithms (logistic regression, random forest, support vector machine [SVM], and XGBoost) were constructed to predict severe COVID-19, with model covariates ranked according to importance. RESULTS: Of 4,295 RA patients with COVID-19 included in the study, 990 (23.1%) were classified as severe. RA patients with severe COVID-19 had a higher mean age (mean [SD] = 71.6 [10.3] vs 63.4 [13.7] years, P < 0.001) and Charlson Comorbidity Index (CCI) (3.8 [2.4] vs 2.4 [1.8], P < 0.001) than those with mild cases. Males were more likely to be a severe case than mild (29.1% vs 18.5%, P < 0.001). The top 15 predictors from the best performing model (XGBoost, AUC = 75.64) were identified. While female gender, commercial insurance, and physical therapy were inversely associated with severe COVID-19 outcomes, top predictors included a March index date, older age, more inpatient visits at baseline, corticosteroid or gamma-aminobutyric acid analog (GABA) use at baseline or the need for durable medical equipment (i.e., wheelchairs), as well as comorbidities such as congestive heart failure, hypertension, fluid and electrolyte disorders, lower respiratory disease, chronic pulmonary disease, and diabetes with complication. LIMITATIONS: The cohort meeting our eligibility criteria is a relatively small sample in the context of machine learning. Additionally, diagnoses definitions rely solely on ICD-10-CM codes, and there may be unmeasured variables (such as labs and vitals) due to the nature of the data. These limitations were carefully considered when interpreting the results. CONCLUSIONS: Predictive baseline comorbidities and risk factors can be leveraged for early detection of RA patients at risk of severe COVID-19 outcomes. Further research should be conducted on modifiable factors in the RA population, such as physical therapy.

Validation of a Novel Statistical Method to Identify Aberrant Patient Logging: A Multi-Institutional Study.

INTRODUCTION: Student patient encounter logging informs the quality of supervised clinical practice experiences (SCPEs). Yet, it is unknown whether logs accurately reflect patient encounters, and the faculty resources necessary to review for potential aberrant logging are significant. The purpose of this study was to identify a statistical method to identify aberrant logging. METHODS: A multi-institutional (n = 6) study examined a statistical method for identifying potentially aberrant logging behavior. An automated statistical Mahalanobis Distance (MD) measurement was used to categorize student logs as aberrant if they were identified as probable multivariate outliers. This approach was validated using a gold standard for aberrant logging behavior with manual review by 4 experienced faculty ("faculty consensus") and then comparing interrater agreement between faculty and MD-based categorization. In secondary analyses, we compared the relative accuracy of MD-based categorization to individual faculty categorizing data from their own program ("own program" categorization). RESULTS: 323 student logging records from 6 physician assistant (PA) programs were included. Compared to "faculty consensus" (the gold standard), MD-based categorization was highly sensitive (0.846, 95% CI: 0.650, 1.000) and specific (0.766, 95% CI: 0.645, 0.887). Additionally, there was no significant difference in sensitivity, specificity, positive predictive value, or negative predictive value between MD-based categorization and "own program" categorization. DISCUSSION: The MD-based method of identifying aberrant and nonaberrant student logging compared favorably to the more traditional, faculty-intensive approach of reviewing individual student logging records. This supports MD-based screening as a less labor-intensive alternative to individual faculty review to identify aberrant logging. Identification of aberrant logging may facilitate early intervention with students to improve clinical exposure logging during their SCPEs.

Long-term PM2.5 exposure and sepsis mortality in a US medicare cohort.

BACKGROUND: Risk factors contributing to sepsis-related mortality include clinical conditions such as cardiovascular disease, chronic lung disease, and diabetes, all of which have also been shown to be associated with air pollution exposure. However, the impact of chronic exposure to air pollution on sepsis-related mortality has been little studied.  METHODS: In a cohort of 53 million Medicare beneficiaries (228,439 sepsis-related deaths) living across the conterminous United States between 2000 and 2008, we examined the association of long-term PM2.5 exposure and sepsis-related mortality. For each Medicare beneficiary (ages 65-120), we estimated the 12-month moving average PM2.5 concentration for the 12 month before death, for their ZIP code of residence using well validated GIS-based spatio-temporal models. Deaths were categorized as sepsis-related if they have ICD-10 codes for bacterial or other sepsis. We used Cox proportional hazard models to assess the association of long-term PM2.5 exposure on sepsis-related mortality. Models included strata for age, sex, race, and ZIP code and controlled for neighborhood socio-economic status (SES). We also evaluated confounding through adjustment of neighborhood behavioral covariates. RESULTS: A 10 µg/m3 increase in 12-month moving average PM2.5 was associated with a 9.1% increased risk of sepsis mortality (95% CI: 3.6-14.9) in models adjusted for age, sex, race, ZIP code, and SES. HRs for PM2.5 were higher and statistically significant for older (> 75), Black, and urban beneficiaries. In stratified analyses, null associations were found for younger beneficiaries (65-75), beneficiaries who lived in non-urban ZIP codes, and those residing in low-SES urban ZIP codes. CONCLUSIONS: Long-term PM2.5 exposure is associated with elevated risks of sepsis-related mortality.

The associations between COVID-19 diagnosis, type 1 diabetes, and the risk of diabetic ketoacidosis: A nationwide cohort from the US using the Cerner Real-World Data.

OBJECTIVE: To assess the risk of new-onset type 1 diabetes mellitus (T1D) diagnosis following COVID-19 diagnosis and the impact of COVID-19 diagnosis on the risk of diabetic ketoacidosis (DKA) in patients with prior T1D diagnosis. RESEARCH DESIGN AND METHODS: Retrospective data consisting of 27,292,879 patients from the Cerner Real-World Data were used. Odds ratios, overall and stratified by demographic predictors, were calculated to assess associations between COVID-19 and T1D. Odds ratios from multivariable logistic regression models, adjusted for demographic and clinical predictors, were calculated to assess adjusted associations between COVID-19 and DKA. Multiple imputation with multivariate imputation by chained equations (MICE) was used to account for missing data. RESULTS: The odds of developing new-onset T1D significantly increased in patients with COVID-19 diagnosis (OR: 1.42, 95% CI: 1.38, 1.46) compared to those without COVID-19. Risk varied by demographic groups, with the largest risk among pediatric patients ages 0-1 years (OR: 6.84, 95% CI: 2.75, 17.02) American Indian/Alaskan Natives (OR: 2.30, 95% CI: 1.86, 2.82), Asian or Pacific Islanders (OR: 2.01, 95% CI: 1.61, 2.53), older adult patients ages 51-65 years (OR: 1.77, 95% CI: 1.66, 1.88), those living in the Northeast (OR: 1.71, 95% CI: 1.61, 1.81), those living in the West (OR: 1.65, 95% CI: 1.56, 1.74), and Black patients (OR: 1.59, 95% CI: 1.47, 1.71). Among patients with diagnosed T1D at baseline (n = 55,359), 26.7% (n = 14,759) were diagnosed with COVID-19 over the study period. The odds of developing DKA for those with COVID-19 were significantly higher (OR 2.26, 95% CI: 2.04, 2.50) than those without COVID-19, and the largest risk was among patients with higher Elixhauser Comorbidity Index. CONCLUSIONS: COVID-19 diagnosis is associated with significantly increased risk of new-onset T1D, and American Indian/Alaskan Native, Asian/Pacific Islander, and Black populations are disproportionately at risk. In patients with pre-existing T1D, the risk of developing DKA is significantly increased following COVID-19 diagnosis.

Long-term nitrogen dioxide exposure and cause-specific mortality in the U.S. Medicare population.

BACKGROUND: Since 1971, the annual National Ambient Air Quality Standard (NAAQS) for nitrogen dioxide (NO2) has remained at 53 ppb, the impact of long-term NO2 exposure on mortality is poorly understood. OBJECTIVES: We examined associations between long-term NO2 exposure (12-month moving average of NO2) below the annual NAAQS and cause-specific mortality among the older adults in the U.S. METHODS: Cox proportional-hazard models were used to estimate Hazard Ratio (HR) for cause-specific mortality associated with long-term NO2 exposures among about 50 million Medicare beneficiaries living within the conterminous U.S. from 2001 to 2008. RESULTS: A 10 ppb increase in NO2 was associated with increased mortality from all-cause (HR: 1.06; 95% CI: 1.05-1.06), cardiovascular (HR: 1.10; 95% CI: 1.10-1.11), respiratory disease (HR: 1.09; 95% CI: 1.08-1.11), and cancer (HR: 1.01; 95% CI: 1.00-1.02) adjusting for age, sex, race, ZIP code as strata ZIP code- and state-level socio-economic status (SES) as covariates, and PM2.5 exposure using a 2-stage approach. NO2 was also associated with elevated mortality from ischemic heart disease, cerebrovascular disease, congestive heart failure, chronic obstructive pulmonary disease, pneumonia, and lung cancer. We found no evidence of a threshold, with positive and significant HRs across the range of NO2 exposures for all causes of death examined. Exposure-response curves were linear for all-cause, supra-linear for cardiovascular-, and sub-linear for respiratory-related mortality. HRs were highest consistently among Black beneficiaries. CONCLUSIONS: Long-term NO2 exposure is associated with elevated risks of death by multiple causes, without evidence of a threshold response. Our findings raise concerns about the sufficiency of the annual NAAQS for NO2.

The impact of Long-Term PM2.5 constituents and their sources on specific causes of death in a US Medicare cohort.

BACKGROUND: Our understanding of the impact of long-term exposures to PM2.5 constituents and sources on mortality is limited. OBJECTIVES: To examine associations between long-term exposures to PM2.5 constituents and sources and cause-specific mortality in US older adults. METHODS: We obtained demographic and mortality data for 15.4 million Medicare beneficiaries living within the conterminous United States (US) between 2000 and 2008. We assessed PM2.5 constituents exposures for each beneficiary and used factor analysis and residual-based methods to characterize PM2.5 sources and mixtures, respectively. In age-, sex-, race- and site- stratified Cox proportional hazard models adjusted for neighborhood socio-economic status (SES), we assessed associations of individual PM2.5 constituents, sources, and mixtures and cause-specific mortality and examined modification of these associations by participant demographics and location of residence. We assessed the robustness of our findings to additional adjustment for behavioral risk factors and to alternate exposure definitions and exposure windows. RESULTS: Hazard ratios (HR) were highest for all causes of death, except COPD, for PM2.5 constituents and the coal combustion-related PM2.5 components, with no evidence of confounding by behavioral covariates. We further found Pb and metal-related PM2.5 components to be significantly associated with increased HR of all causes of death, except COPD and lung cancer mortality, and nitrate (NO3-) and silicon (Si) and associated source-related PM2.5 components (traffic and soil, respectively) to be significantly associated with increased all-cause, CVD, respiratory and all cancer-related mortality HR. Associations for other examined constituents and mortality were inconsistent or largely null. Our analyses of mixtures were generally consistent with these findings. Mortality HRs were greatest for minority, especially Black, low-income urban, younger, and male beneficiaries. DISCUSSION: PM2.5 components related to coal combustion, traffic, and to a lesser extent, soil were strongly associated with mortality from CVD, respiratory disease, and cancer.