Is there an association between peri-diagnostic vaccination and clinical outcomes in COVID-19 patients?

Background: Peri-diagnostic vaccination contemporaneous with SARS-CoV-2 infection might boost antiviral immunity and improve patient outcomes. We investigated, among previously unvaccinated patients, whether vaccination (with the Pfizer, Moderna, or J&J vaccines) during the week before or after a positive COVID-19 test was associated with altered 30-day patient outcomes. Methods: Using a deidentified longitudinal EHR repository, we selected all previously unvaccinated adults who initially tested positive for SARS-CoV-2 between December 11, 2020 (the date of vaccine emergency use approval) and December 19, 2021. We assessed whether vaccination between days -7 and +7 of a positive test affected outcomes. The primary measure was progression to a more severe disease outcome within 30 days of diagnosis using the following hierarchy: hospitalization, intensive care, or death. Results: Among 60,031 hospitalized patients, 543 (0.91%) were initially vaccinated at the time of diagnosis and 59,488 (99.09%) remained unvaccinated during the period of interest. Among 316,337 nonhospitalized patients, 2,844 (0.90%) were initially vaccinated and 313,493 (99.1%) remained unvaccinated. In both analyses, individuals receiving vaccines were older, more often located in the northeast, more commonly insured by Medicare, and more burdened by comorbidities. Among previously unvaccinated patients, there was no association between receiving an initial vaccine dose between days -7 and +7 of diagnosis and progression to more severe disease within 30 days compared to patients who did not receive vaccines. Conclusions: Immunization during acute SARS-CoV-2 infection does not appear associated with clinical progression during the acute infectious period.

Risk Factors for SARS-CoV-2 Infection and Severe Outcomes Among People With Human Immunodeficiency Virus: Cohort Study.

Background: Studies on COVID-19 in people with HIV (PWH) have had limitations. Further investigations on risk factors and outcomes of SARS-CoV-2 infection among PWH are needed. Methods: This retrospective cohort study leveraged the national OPTUM COVID-19 data set to investigate factors associated with SARS-CoV-2 positivity among PWH and risk factors for severe outcomes, including hospitalization, intensive care unit stays, and death. A subset analysis was conducted to examine HIV-specific variables. Multiple variable logistic regression was used to adjust for covariates. Results: Of 43 173 PWH included in this study, 6472 had a positive SARS-CoV-2 result based on a polymerase chain reaction test or antigen test. For PWH with SARS-CoV-2 positivity, higher odds were found for those who were younger (18-49 years), Hispanic White, African American, from the US South, uninsured, and a noncurrent smoker and had a higher body mass index and higher Charlson Comorbidity Index. For PWH with severe outcomes, higher odds were identified for those who were SARS-CoV-2 positive, older, from the US South, receiving Medicaid/Medicare or uninsured, a current smoker, and underweight and had a higher Charlson Comorbidity Index. In a subset analysis including PWH with HIV care variables (n = 5098), those with unsuppressed HIV viral load, a low CD4 count, and no antiretroviral therapy had higher odds of severe outcomes. Conclusions: This large US study found significant ethnic, racial, and geographic differences in SARS-CoV-2 infection among PWH. Chronic comorbidities, older age, lower body mass index, and smoking were associated with severe outcomes among PWH during the COVID-19 pandemic. SARS-CoV-2 infection was associated with severe outcomes, but once we adjusted for HIV care variables, SARS-CoV-2 was no longer significant; however, low CD4 count, high viral load, and lack of antiretroviral therapy had higher odds of severe outcomes.

Incidence and Risk Factors for Severe Outcomes in Pediatric Patients With COVID-19.

OBJECTIVES: Throughout the pandemic, children with COVID-19 have experienced hospitalization, ICU admission, invasive respiratory support, and death. Using a multisite, national dataset, we investigate risk factors associated with these outcomes in children with COVID-19. METHODS: Our data source (Optum deidentified COVID-19 Electronic Health Record Dataset) included children aged 0 to 18 years testing positive for COVID-19 between January 1, 2020, and January 20, 2022. Using ordinal logistic regression, we identified factors associated with an ordinal outcome scale: nonhospitalization, hospitalization, or a severe composite outcome (ICU, intensive respiratory support, death). To contrast hospitalization for COVID-19 and incidental positivity on hospitalization, we secondarily identified patient factors associated with hospitalizations with a primary diagnosis of COVID-19. RESULTS: In 165 437 children with COVID-19, 3087 (1.8%) were hospitalized without complication, 2954 (1.8%) experienced ICU admission and/or intensive respiratory support, and 31 (0.02%) died. We grouped patients by age: 0 to 4 years old (35 088), and 5 to 11 years old (75 574), 12 to 18 years old (54 775). Factors positively associated with worse outcomes were preexisting comorbidities and residency in the Southern United States. In 0- to 4-year-old children, there was a nonlinear association between age and worse outcomes, with worse outcomes in 0- to 2-year-old children. In 5- to 18-year-old patients, vaccination was protective. Findings were similar in our secondary analysis of hospitalizations with a primary diagnosis of COVID-19, though region effects were no longer observed. CONCLUSIONS: Among children with COVID-19, preexisting comorbidities and residency in the Southern United States were positively associated with worse outcomes, whereas vaccination was negatively associated. Our study population was highly insured; future studies should evaluate underinsured populations to confirm generalizability.

Racial and Ethnic Disparities Among Hearing Aid and Cochlear Implant Patients at a Tertiary-Level Academic Otology Practice.

OBJECTIVE: Utilization of hearing aids (HAs) and cochlear implants (CIs) is limited, with our group previously demonstrating that non-White patients pursue CI less than White patients. The aim of this study was to compare the demographic makeup of patients more recently evaluated for both interventions in our clinic, exploring the influence of insurance on pursuit of HA, and whether changes have occurred in CI uptake. STUDY DESIGN: Retrospective chart review. SETTING: Tertiary-level academic otology clinic. METHODS: All patients (18 yr or older) evaluated for an HA or CI in 2019 were included. Demographic variables (including race, insurance, and socioeconomic status) were compared between patients who did and did not obtain an HA or CI. RESULTS: In 2019, 390 patients underwent an HA evaluation, and 195 patients received a CI evaluation. Relative to patients evaluated for CI, patients evaluated for HA were more likely to be White (71.3% versus 79.4%, p = 0.027). Examining factors that affected HA purchase, Black race (odds ratio, 0.32; 95% confidence interval, 0.12-0.85; p = 0.022), and lower socioeconomic status (odds ratio, 0.99; 95% confidence interval, 0.98-1.00; p = 0.039) were associated with decreased odds. Demographic variables and AzBio quiet scores were not associated with decision to pursue CI surgery. CONCLUSIONS: White patients comprised a larger proportion of HA evaluations than CI evaluations. Furthermore, White patients and those of higher socioeconomic status were more likely to purchase HA. Improved outreach and expanded insurance benefits for HA are needed to ensure equal access to aural rehabilitation.

The Influence of Activities and Functional Social Support on Adult Cochlear Implant Outcomes.

Objective: The objective of this study is to assess whether patient participation in specific activities and perceived social support correlate with speech perception following cochlear implantation. Setting: Tertiary referral hospital. Methods: Adult cochlear implantation patients implanted in their poorer hearing ear between January 2019 and December 2020 completed the Functional Social Support Questionnaire (FSSQ) and a modified version of the Victoria Lifestyle Study-Activities Lifestyle Questionnaire (VLS-ALQ). Demographics, FSSQ score, and individual activities were correlated with implanted ear and binaural AzBio scores. Results: Twenty-three patients completed the survey and had at least 6 months of follow-up with appropriate speech perception testing. The average age at survey completion was 71.7 (SD, 9.1). Average pure-tone average in the contralateral ear was 70.1 (SD: 20) dB. The majority (N = 21, 91.3%) wore a hearing aid in the contralateral ear following cochlear implantation. Mean AzBioQuiet score improvement was 60.6% (range: 20%-99%) in the implanted ear and 42.6% (range: -2% to 67%) binaurally. Work-related social support correlated positively with improvement in the implanted ear (Pearson's R = 0.473; 95% CI, 0.075-0.741; P = 0.023). Improvement in the implanted ear correlated positively with creative writing (R = 0.542; 95% CI, 0.167-0.780; P = 0.008), attending films (R = 0.448; 95% CI, 0.044-0.726; P = 0.032), going out with friends (R = 0.423; 95% CI, 0.013-0.711; P = 0.044) listening to audiobooks (R = 0.433; 95% CI, 0.025-0.717; P = 0.039), and public speaking (R = 0.468; 95% CI, 0.069-0.738; P = 0.024). Gains in binaural performance correlated positively with watching TV news (R = 0.819; 95% CI, 0.509-0.941; P < 0.001) and negatively with eating at restaurants (R = -0.532; 95% CI, -0.829 to -0.002; P = 0.05). Conclusions: Activities that provide intellectual stimulation and engage auditory faculties correlate with greater speech perception testing improvements in adult cochlear implantation patients.