Increased COVID-19 Infection Risk Drives Racial and Ethnic Disparities in Severe COVID-19 Outcomes

Correlates of and Disparities in Cancellations or Delays of Prenatal Visits During the Covid-19 Pandemic: Emphasis on Racial/Ethnic Minorities and Persons with Low Socioeconomic Status

OBJECTIVES

To investigate barriers and disparities in prenatal visits across population subgroups.

METHODS

This pooled cross-sectional study was conducted using Pregnancy Risk Assessment Monitoring System for 2020 through 2021. Women who reported their experiences of cancellation or delay in prenatal visits were included. A multivariable regression analysis estimated adjusted prevalence ratios (aPR) for cancellations or delays in prenatal care.

RESULTS

Of a total of 11,427, one-third had cancelled or delayed care. Hispanics, compared to their white counterparts, were 22% likelier to have cancelled or delayed care. Women covered by Medicaid and those with depression had 17% and 34% greater likelihoods of cancellation or delay, respectively. Cancellations or delays were comparable for the years 2020 and 2021 across reasons, except for facility closures, which were more common in 2020 than in 2021. Hispanics tended to cancel or delay prenatal visits more often than whites for reasons, such as facility closures, COVID-19-related reasons, a lack of transportation, and loss of insurance, while transportation and insurance issues were greater barriers for blacks. Women with less than a high school diploma were more likely to report cancellations or delays due to transportation issues (aPR 2.86, 95%CI 1.47-5.57; p = 0.002) and loss of insurance (aPR 4.82, 95%CI 1.64-14.23; P = 0.004).

CONCLUSIONS

While a large proportion of women experienced disruptions in prenatal care, subsets of the population, including racial/ethnic minorities and the low socioeconomically disadvantaged, faced disproportionate challenges. The current findings provide practical implications for a tailored approach to reducing barriers and disparities in prenatal care.

Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection among Kidney Transplant Recipients: A Large Single-Center Experience

Background

Kidney transplant recipients (KTRs) are a vulnerable immunocompromised population at risk of severe COVID-19 disease and mortality after SARS-CoV-2 infection. We sought to characterize the post-infection sequelae in KTRs at our center.

Methods

We studied all adult KTRs (with a functioning allograft) who had their first episode of SARS-CoV-2 infection between 04/2020 and 04/2022. Outcomes of interest included risk factors for hospitalization, all-cause mortality, COVID-19-related mortality, and allograft failure.

Results

Of 979 KTRs with SARS-CoV-2 infection, 381 (39%) were hospitalized. In the multivariate analysis, risk factors for hospitalization included advanced age/year (HR: 1.03, 95% CI: 1.02-1.04), male sex (HR: 1.29, 95% CI: 1.04-1.60), non-white race (HR: 1.48, 95% CI: 1.17-1.88), and diabetes as a cause of ESKD (HR: 1.77, 95% CI: 1.41-2.21). SARS-CoV-2 Vaccination was associated with decreased risk of hospitalization (HR: 0.73, 95% CI: 0.59-0.90), all-cause mortality (HR: 0.52, 95% CI: 0.37-0.74), and COVID-19-related mortality (HR: 0.47, 95% CI: 0.31-0.71) in the univariate and multivariate analyses. Risk factors for both all-cause and COVID-19-related mortality in the multivariate analyses included advanced age, hospitalization, and respiratory symptoms for hospital admission. Furthermore, additional risk factors for all-cause mortality in the multivariate analysis included being a non-white recipient and diabetes as a cause of ESKD, with being a recipient of a living donor as protective.

Conclusions

Hospitalization due to COVID-19-associated symptoms is associated with increased mortality. Vaccination is a protective factor against hospitalization and mortality.

Risk factors for long COVID in children and adolescents: a systematic review and meta-analysis

BACKGROUND

The long-term sequelae of COVID-19 in children and adolescents remain poorly understood and characterized. This systematic review and meta-analysis sought to summarize the risk factors for long COVID in the pediatric population.

METHODS

We searched six databases from January 2020 to May 2023 for observational studies reporting on risk factors for long COVID or persistent symptoms those were present 12 or more weeks post-infection using multivariable regression analyses. Trial registries, reference lists of included studies, and preprint servers were hand-searched for relevant studies. Random-effects meta-analyses were conducted to pool odds ratios for each risk factor. Individual study risk of bias was rated using QUIPS, and the GRADE framework was used to assess the certainty of evidence for each unique factor.

RESULTS

Sixteen observational studies (N = 46,262) were included, and 19 risk factors were amenable to meta-analysis. With moderate certainty in the evidence, age (per 2-year increase), allergic rhinitis, obesity, previous respiratory diseases, hospitalization, severe acute COVID-19, and symptomatic acute COVID-19 are probably associated with an increased risk of long COVID. Female sex, asthma, comorbidity, and heart diseases may be associated with an increased risk of long COVID, and Asian and Black races may be associated with a decreased risk of long COVID. We did not observe any credible subgroup effects for any risk factor.

CONCLUSIONS

The current body of literature presents several compelling risk factors for the development of long COVID in the pediatric population. Further research is necessary to elucidate the pathophysiology of long COVID.

Racial and Ethnic Disparities in Excess All-Cause Mortality in the First Year of the COVID-19 Pandemic

Research on the COVID-19 pandemic in the United States has consistently found disproportionately high mortality among ethnoracial minorities, but reports differ with respect to the magnitude of mortality disparities and reach different conclusions regarding which groups were most impacted. We suggest that these variations stem from differences in the temporal scope of the mortality data used and difficulties inherent in measuring race and ethnicity. To circumvent these issues, we link Social Security Administration death records for 2010 through 2021 to decennial census and American Community Survey race and ethnicity responses. We use these linked data to estimate excess all-cause mortality for age-, sex-, race-, and ethnicity-specific subgroups and examine ethnoracial variation in excess mortality across states and over the course of the pandemic's first year. Results show that non-Hispanic American Indians and Alaska Natives experienced the highest excess mortality of any ethnoracial group in the first year of the pandemic, followed by Hispanics and non-Hispanic Blacks. Spatiotemporal and age-specific ethnoracial disparities suggest that the socioeconomic determinants driving health disparities prior to the pandemic were amplified and expressed in new ways in the pandemic's first year to disproportionately concentrate excess mortality among racial and ethnic minorities.

"Messengers matter": Assessing the impact of racially concordant care on vaccine hesitation

With the rise in COVID-related deaths among the unvaccinated, understanding coronavirus vaccine hesitancy is critical to maintaining public health. Previous research has shown that sociodemographic factors, such as race, are essential for understanding vaccine hesitancy; yet, the specific factors driving racial disparities in vaccination continue to be a matter of intense debate. This study uses a novel survey experiment to uncover the linkages between race, physician trust, and vaccine hesitancy. Using a standard prompt on the release of the COVID-19 vaccine, it tests whether patient-physician race concordance affects the likelihood of vaccine uptake among US citizens. Analyses reveal that racially concordant care has a negligible effect on vaccine hesitancy, but does ameliorate other harmful beliefs regarding one's likelihood of experiencing discrimination and racism in healthcare more generally. These findings suggest that increasing diversity in the medical field should be paired with efforts to address systemic inequalities to promote increased vaccination.

Mortality from COVID-19 in Amazonian and Andean original indigenous populations of Peru

OBJECTIVE

To compare the mortality rates from COVID-19 among indigenous populations of the Amazon and Andean regions of Peru during the years 2020, 2021 and 2022.

METHODS

Secondary analysis of 33,567 data from the COVID-19 Notification System of the National Epidemiology Center, Prevention and Control of Diseases (CDC-Peru), from the years 2020-2022. The variables were age, sex, belonging to the Andean or Amazonian ethnic group, number and type of symptoms and risk conditions, abnormal findings in chest X-rays, year of data collection for hospitalization and death from COVID-19. Poisson family generalized linear regression models with logarithmic linkage and robust variance were used to establish differences in mortality between ethnic groups. Crude and adjusted risk ratio (RR) with 95 % confidence intervals (CI) were calculated.

RESULTS

33,567 participants with an average age of 33.6 years were included, 44.4 % were men and 70.2 % belonged to the Amazonian ethnic group. Most of those affected by COVID-19 presented 2 symptoms (38.8 %), 4.8 % presented some risk condition, 1451 (4.3 %) were hospitalized, and 433 (1.3 %) died. The adjusted analysis showed that the Andean group, compared to the Amazonian, tended to have a higher probability of death, and this association was statistically significant, RR =7.6, 95 % CI (5.5-10.5).

CONCLUSIONS

Patients from Andean indigenous communities had an almost 8 times higher risk of death from COVID-19.

Identification and Prediction of Clinical Phenotypes in Hospitalized Patients With COVID-19: Machine Learning From Medical Records

BACKGROUND

There is significant heterogeneity in disease progression among hospitalized patients with COVID-19. The pathogenesis of SARS-CoV-2 infection is attributed to a complex interplay between virus and host immune response that in some patients unpredictably and rapidly leads to "hyperinflammation" associated with increased risk of mortality. The early identification of patients at risk of progression to hyperinflammation may help inform timely therapeutic decisions and lead to improved outcomes.

OBJECTIVE

The primary objective of this study was to use machine learning to reproducibly identify specific risk-stratifying clinical phenotypes across hospitalized patients with COVID-19 and compare treatment response characteristics and outcomes. A secondary objective was to derive a predictive phenotype classification model using routinely available early encounter data that may be useful in informing optimal COVID-19 bedside clinical management.

METHODS

This was a retrospective analysis of electronic health record data of adult patients (N=4379) who were admitted to a Johns Hopkins Health System hospital for COVID-19 treatment from 2020 to 2021. Phenotypes were identified by clustering 38 routine clinical observations recorded during inpatient care. To examine the reproducibility and validity of the derived phenotypes, patient data were randomly divided into 2 cohorts, and clustering analysis was performed independently for each cohort. A predictive phenotype classifier using the gradient-boosting machine method was derived using routine clinical observations recorded during the first 6 hours following admission.

RESULTS

A total of 2 phenotypes (designated as phenotype 1 and phenotype 2) were identified in patients admitted for COVID-19 in both the training and validation cohorts with similar distributions of features, correlations with biomarkers, treatments, comorbidities, and outcomes. In both the training and validation cohorts, phenotype-2 patients were older; had elevated markers of inflammation; and were at an increased risk of requiring intensive care unit-level care, developing sepsis, and mortality compared with phenotype-1 patients. The gradient-boosting machine phenotype prediction model yielded an area under the curve of 0.89 and a positive predictive value of 0.83.

CONCLUSIONS

Using machine learning clustering, we identified and internally validated 2 clinical COVID-19 phenotypes with distinct treatment or response characteristics consistent with similar 2-phenotype models derived from other hospitalized populations with COVID-19, supporting the reliability and generalizability of these findings. COVID-19 phenotypes can be accurately identified using machine learning models based on readily available early encounter clinical data. A phenotype prediction model based on early encounter data may be clinically useful for timely bedside risk stratification and treatment personalization.

Disparities in COVID-19 related outcomes in the United States by race and ethnicity pre-vaccination era: an umbrella review of meta-analyses

Background

Meta-analyses have investigated associations between race and ethnicity and COVID-19 outcomes. However, there is uncertainty about these associations' existence, magnitude, and level of evidence. We, therefore, aimed to synthesize, quantify, and grade the strength of evidence of race and ethnicity and COVID-19 outcomes in the US.

Methods

In this umbrella review, we searched four databases (Pubmed, Embase, the Cochrane Database of Systematic Reviews, and Epistemonikos) from database inception to April 2022. The methodological quality of each meta-analysis was assessed using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR-2). The strength of evidence of the associations between race and ethnicity with outcomes was ranked according to established criteria as convincing, highly suggestive, suggestive, weak, or non-significant. The study protocol was registered with PROSPERO, CRD42022336805.

Results

Of 880 records screened, we selected seven meta-analyses for evidence synthesis, with 42 associations examined. Overall, 10 of 42 associations were statistically significant (p ≤ 0.05). Two associations were highly suggestive, two were suggestive, and two were weak, whereas the remaining 32 associations were non-significant. The risk of COVID-19 infection was higher in Black individuals compared to White individuals (risk ratio, 2.08, 95% Confidence Interval (CI), 1.60-2.71), which was supported by highly suggestive evidence; with the conservative estimates from the sensitivity analyses, this association remained suggestive. Among those infected with COVID-19, Hispanic individuals had a higher risk of COVID-19 hospitalization than non-Hispanic White individuals (odds ratio, 2.08, 95% CI, 1.60-2.70) with highly suggestive evidence which remained after sensitivity analyses.

Conclusion

Individuals of Black and Hispanic groups had a higher risk of COVID-19 infection and hospitalization compared to their White counterparts. These associations of race and ethnicity and COVID-19 outcomes existed more obviously in the pre-hospitalization stage. More consideration should be given in this stage for addressing health inequity.

How Can the Roma Deal with the Health and Social Crisis Generated by the COVID-19 Pandemic? Inequalities, Challenges, and Successful Actions in Catalonia (Spain)

The Roma is the most excluded non-migrant ethnic minority in Europe, facing prejudice, intolerance, discrimination, and social exclusion in their daily lives. This has led to a huge gap in several social domains between the Roma and non-Roma created for centuries. The COVID-19 pandemic has only increased the social and health inequalities that the Roma faced. In this context, it is important to identify actions that have been successful in mitigating the effects that the COVID-19 has had in increasing such inequalities. This paper presents the findings of a mixed-method study carried out in Catalonia (Spain) with the participation of more than 500 Roma, who reported their experience. The study results confirm the significant vulnerability and the negative impact of the COVID-19 pandemic on the Roma communities. Our research also highlights several successful actions developed by the Integrated Plan for the Roma of the Catalan Government, such as health literacy and adult education, as having a positive impact on the quality of life of many Roma during the health and social crisis generated by the COVID-19 pandemic. This paper suggests that the lessons learned from Catalonia could be transferred to other contexts across Europe and guide decision makers to promote the social inclusion and quality of life of the Roma, protecting Roma communities during current and future pandemics.

COVID-19 and All-Cause Mortality by Race, Ethnicity, and Age Across Five Periods of the Pandemic in the United States

Racial/ethnic and age disparities in COVID-19 and all-cause mortality during 2020 are well documented, but less is known about their evolution over time. We examine changes in age-specific mortality across five pandemic periods in the United States from March 2020 to December 2022 among four racial/ethnic groups (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian) for ages 35+. We fit Gompertz models to all-cause and COVID-19 death rates by 5-year age groups and construct age-specific racial/ethnic mortality ratios across an Initial peak (Mar-Aug 2020), Winter peak (Nov 2020-Feb 2021), Delta peak (Aug-Oct 2021), Omicron peak (Nov 2021-Feb 2022), and Endemic period (Mar-Dec 2022). We then compare to all-cause patterns observed in 2019. The steep age gradients in COVID-19 mortality in the Initial and Winter peak shifted during the Delta peak, with substantial increases in mortality at working ages, before gradually returning to an older age pattern in the subsequent periods. We find a disproportionate COVID-19 mortality burden on racial and ethnic minority populations early in the pandemic, which led to an increase in all-cause mortality disparities and a temporary elimination of the Hispanic mortality advantage at certain age groups. Mortality disparities narrowed over time, with racial/ethnic all-cause inequalities during the Endemic period generally returning to pre-pandemic levels. Black and Hispanic populations, however, faced a younger age gradient in all-cause mortality in the Endemic period relative to 2019, with younger Hispanic and Black adults in a slightly disadvantageous position and older Black adults in a slightly advantageous position, relative to before the pandemic.

Associations Between Insurance, Race and Ethnicity, and COVID-19 Hospitalization, Beyond Underlying Health Conditions: A Retrospective Cohort Study

Introduction

: People of lower socioeconomic position (SEP) and people of color (POC) experience higher risks of severe COVID-19, but understanding of these associations beyond the effect of underlying health conditions (UHCs) is limited. Moreover, few studies have focused on young adults, who have had the highest incidence of COVID-19 during much of the pandemic.

Methods

: We conducted a retrospective cohort study using electronic health record data from the University of Washington Medicine healthcare system. Our study population included individuals aged 18-39 years who tested positive for SARS-CoV-2 from February 2020 to March 2021. Using regression modeling, we estimated adjusted risk ratios (aRRs) and differences (aRDs) of COVID-19 hospitalization by SEP (using health insurance as a proxy) and race and ethnicity. We adjusted for any UHC to examine these associations beyond the effect of UHCs. Results: Among 3,101 individuals, the uninsured/publicly insured had a 1.9-fold higher risk of hospitalization (aRR [95% CI]=1.9 [1.0, 3.6]) and 9 additional hospitalizations per 1,000 SARS-CoV-2 positive persons (aRD [95% CI]=9 [-1, 20]) compared to the privately insured. Hispanic or Latine, non-Hispanic (NH) Asian, NH Black, and NH Native Hawaiian or Pacific Islander patients had a 1.5-, 2.7-, 1.4-, and 2.1-fold-higher risk of hospitalization (aRR [95% CI]=1.5 [0.7, 3.1]; 2.7 [1.1, 6.5]; 1.4 [0.6, 3.3]; 2.1 [0.5, 9.1]), respectively, compared to NH White patients. Conclusions: Though they should be interpreted with caution given low precision, our findings suggest the increased risk of COVID-19 hospitalization among young adults of lower SEP and young adults of color may be driven by forces other than UHCs, including social determinants of health.

Association Between Diabetes Severity and Risks of COVID-19 Infection and Outcomes

BACKGROUND

Little is known about whether diabetes increases the risk of COVID-19 infection and whether measures of diabetes severity are related to COVID-19 outcomes.

OBJECTIVE

Investigate diabetes severity measures as potential risk factors for COVID-19 infection and COVID-19 outcomes.

DESIGN, PARTICIPANTS, MEASURES

In integrated healthcare systems in Colorado, Oregon, and Washington, we identified a cohort of adults on February 29, 2020 (n = 1,086,918) and conducted follow-up through February 28, 2021. Electronic health data and death certificates were used to identify markers of diabetes severity, covariates, and outcomes. Outcomes were COVID-19 infection (positive nucleic acid antigen test, COVID-19 hospitalization, or COVID-19 death) and severe COVID-19 (invasive mechanical ventilation or COVID-19 death). Individuals with diabetes (n = 142,340) and categories of diabetes severity measures were compared with a referent group with no diabetes (n = 944,578), adjusting for demographic variables, neighborhood deprivation index, body mass index, and comorbidities.

RESULTS

Of 30,935 patients with COVID-19 infection, 996 met the criteria for severe COVID-19. Type 1 (odds ratio [OR] 1.41, 95% CI 1.27-1.57) and type 2 diabetes (OR 1.27, 95% CI 1.23-1.31) were associated with increased risk of COVID-19 infection. Insulin treatment was associated with greater COVID-19 infection risk (OR 1.43, 95% CI 1.34-1.52) than treatment with non-insulin drugs (OR 1.26, 95% 1.20-1.33) or no treatment (OR 1.24; 1.18-1.29). The relationship between glycemic control and COVID-19 infection risk was dose-dependent: from an OR of 1.21 (95% CI 1.15-1.26) for hemoglobin A1c (HbA1c) < 7% to an OR of 1.62 (95% CI 1.51-1.75) for HbA1c ≥ 9%. Risk factors for severe COVID-19 were type 1 diabetes (OR 2.87; 95% CI 1.99-4.15), type 2 diabetes (OR 1.80; 95% CI 1.55-2.09), insulin treatment (OR 2.65; 95% CI 2.13-3.28), and HbA1c ≥ 9% (OR 2.61; 95% CI 1.94-3.52).

CONCLUSIONS

Diabetes and greater diabetes severity were associated with increased risks of COVID-19 infection and worse COVID-19 outcomes.

Delayed Medical Care of Underserved Middle-Aged and Older African Americans with Chronic Disease during COVID-19 Pandemic

Background: While African American middle-aged and older adults with chronic disease are particularly vulnerable during the COVID-19 pandemic, it is unknown which subgroups of this population may delay seeking care. The aim of this study was to examine demographic, socioeconomic, COVID-19-related, and health-related factors that correlate with delayed care in African American middle-aged and older adults with chronic disease. Methods: In this cross-sectional study, 150 African American middle-aged and older adults who had at least one chronic disease were recruited from faith-based organizations. We measured the following exploratory variables: demographic factors (age and gender), socioeconomic status (education), marital status, number of chronic diseases, depressive symptoms, financial strain, health literacy, COVID-19 vaccination history, COVID-19 diagnosis history, COVID-19 knowledge, and COVID-19 perceived threat. The outcome was delay in chronic disease care. Results: According to the Poisson log-linear regression, higher level of education, higher number of chronic diseases, and depressive symptoms were associated with a higher level of delayed care. Age, gender, COVID-19 vaccination history, COVID-19 diagnosis history, COVID-19 perceived threat, COVID-19 knowledge, financial strain, marital status, and health literacy were not correlated with delayed care. Discussion: Given that higher healthcare needs in terms of multiple chronic medical diseases and depressive symptomatology but not COVID-19-related constructs (i.e., vaccination history, diagnosis history, and perceived threat) were associated with delayed care, there is a need for programs and interventions that assist African American middle-aged and older adults with chronic disease to seek the care that they need. More research is needed to understand why educational attainment is associated with more delayed care of chronic disease in African American middle-aged and older adults with chronic illness.

Factors Associated with Telehealth Utilization among Older African Americans in South Los Angeles during the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic transformed healthcare delivery with the expansive use of telemedicine. However, health disparities may result from lower adoption of telehealth among African Americans. This study examined how under-resourced, older African Americans with chronic illnesses use telehealth, including related sociodemographic and COVID-19 factors.

METHODS

Using a cross-sectional design, 150 middle-aged and older African Americans were recruited from faith-based centers from March 2021 to August 2022. Data collected included sociodemographics, comorbidities, technological device ownership, internet usage, and attitudes toward COVID-19 disease and vaccination. Descriptive statistics and multivariable regression models were conducted to identify factors associated with telehealth use.

RESULTS

Of the 150 participants, 32% had not used telehealth since the COVID-19 pandemic, with 75% reporting no home internet access and 38% having no cellular/internet network on their mobile device. Age, access to a cellular network on a mobile device, and wireless internet at home were significantly associated with the utilization of telehealth care. Higher anxiety and stress with an increased perceived threat of COVID-19 and positive attitudes toward COVID-19 vaccination were associated with telehealth utilization.

DISCUSSION

Access and integration of telehealth services were highlighted as challenges for this population of African Americans. To reduce disparities, expansion of subsidized wireless internet access in marginalized communities is necessitated. Education outreach and training by healthcare systems and community health workers to improve uptake of telehealth currently and post-COVID-19 should be considered.

Factors Associated With COVID-19 Vaccine Acceptance Among Patients Receiving Care at a Federally Qualified Health Center

BACKGROUND

COVID-19 vaccine hesitancy in the United States is high, with at least 63 million unvaccinated individuals to date. Socioeconomically disadvantaged populations experience lower COVID-19 vaccination rates despite facing a disproportionate COVID-19 burden.

OBJECTIVE

To assess the factors associated with COVID-19 vaccine acceptance among under-resourced, adult patients.

METHODS

Participants were patients receiving care at a Federally Qualified Health Center (FQHC) in St. Paul, Minnesota. Data were collected via multiple modes over 2 phases in 2020 (self-administered electronic survey) and 2021 (study team-administered survey by telephone, self-administered written survey) to promote diversity and inclusion for study participation. The primary outcome was COVID-19 vaccine acceptance. Using logistic regression analysis, associations between vaccine acceptance and factors including risk perception, concerns about the COVID-19 vaccine, social determinants of health (SDOH), co-morbidities, pandemic-induced hardships, and stress were assessed by adjusted odds ratios (AORs) and 95% confidence intervals (CI).

RESULTS

One hundred sixty-eight patients (62.5% female; mean age [SD]: 49.9 [17.4] years; 32% <$20 000 annual household income; 69%

CONCLUSIONS

Our study in a socioeconomically disadvantaged population suggests that risk perception is associated with an increased likelihood of vaccine acceptance, while concerns about the COVID-19 vaccine are associated with a lower likelihood of vaccine acceptance. As these factors could impact vaccine uptake, consistent, innovative, and context-specific risk communication strategies may improve vaccine coverage in this population.

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Key Words

• COVID
• COVID-19 vaccines
• Federally Qualified Health Center
• community health
• health disparities
• health promotion
• prevention
• social determinants of health
• underserved communities
• vaccine hesitancy

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MESH Headings

• Adult
• Humans
• Female
• Adolescent
• Male
• COVID-19 Vaccines/therapeutic use
• COVID-19/prevention & control
• Communication
• Electronics
• Health Facilities
• Vaccination

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Grants

• KL2 TR002379 NCATS NIH HHS
• R21 MD013490 NIMHD NIH HHS
• UL1 TR000135 NCATS NIH HHS
• National Center for Advancing Translational Sciences
• National Institute on Minority Health and Health Disparities
• Centers for Disease Control and Prevention
• American Heart Association

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Affiliation(s)

Mathias Lalika Mayo Clinic, Rochester, MN, USA
Cynthia Woods Open Cities Health Center, St Paul, MN, USA
Aarti Patel Open Cities Health Center, St Paul, MN, USA
Christopher Scott Mayo Clinic, Rochester, MN, USA
Alexander Lee Mayo Clinic, Rochester, MN, USA
Jennifer Weis Mayo Clinic, Rochester, MN, USA
Clarence Jones Hue-Man Partnership, Minneapolis, MN, USA
Adeline Abbenyi Mayo Clinic, Rochester, MN, USA
Tabetha A. Brockman Mayo Clinic, Rochester, MN, USA
Irene G. Sia Mayo Clinic, Rochester, MN, USA
Richard O. White Mayo Clinic, Jacksonville, FL, USA
Chyke A. Doubeni The Ohio State University Wexner Medical Center, Columbus, OH, USA
LaPrincess C. Brewer Mayo Clinic, Rochester, MN, USA

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COVID-19 Outcomes in a US Cohort of Persons Living with HIV (PLWH)

Reported coronavirus disease 2019 (COVID-19) outcomes in persons living with HIV (PLWH) vary across cohorts. We examined clinical characteristics and outcomes of PLWH with COVID-19 compared with a matched HIV-seronegative cohort in a mid-Atlantic US healthcare system. Multivariate logistic regression was used to explore factors associated with hospitalization and death/mechanical ventilation among PLWH. Among 281 PLWH with COVID-19, the mean age was 51.5 (SD 12.74) years, 63% were male, 86% were Black, and 87% had a HIV viral load <200 copies/mL. Overall, 47% of PLWH versus 24% (p < 0.001) of matched HIV-seronegative individuals were hospitalized. Rates of COVID-19 associated cardiovascular and thrombotic events, AKI, and infections were similar between PLWH and HIV-seronegative individuals. Overall mortality was 6% (n = 18/281) in PLWH versus 3% (n = 33/1124) HIV-seronegative, p < 0.0001. Among admitted patients, mortality was 14% (n = 18/132) for PLWH and 13% (n = 33/269) for HIV-seronegative, p = 0.75. Among PLWH, hospitalization associated with older age aOR 1.04 (95% CI 1.01, 1.06), Medicaid insurance aOR 2.61 (95% CI 1.39, 4.97) and multimorbidity aOR 2.98 (95% CI 1.72, 5.23). Death/mechanical ventilation associated with older age aOR 1.06 (95% CI 1.01, 1.11), Medicaid insurance aOR 3.6 (95% CI 1.36, 9.74), and multimorbidity aOR 4.4 (95% CI 1.55, 15.9) in adjusted analyses. PLWH were hospitalized more frequently than the HIV-seronegative group and had a higher overall mortality rate, but once hospitalized had similar mortality rates. Older age, multimorbidity and insurance status associated with more severe outcomes among PLWH suggesting the importance of targeted interventions to mitigate the effects of modifiable inequities.

Unified in Our Diversity to Address Health Disparities Among Asian Americans, Native Hawaiians, and Pacific Islanders

The COVID-19 pandemic disproportionately impacted Asian Americans, Native Hawaiians, and Pacific Islanders (AA/NHPIs) in the United States. AA/NHPIs have historically been subjected to discrimination, which was exacerbated by the pandemic. To bring attention to their unique concerns, an AA/NHPI Interest Group of the National Institutes of Health Community Engagement Alliance Against COVID-19 Disparities (CEAL) was formed. This article highlights major concerns raised by the Interest Group: The pervasive and arbitrary practice of data aggregation by public health agencies and health-related researchers, the lack of culturally responsive services in the context of cultural safety, and leadership underrepresentation.