The Effects of Race/Ethnicity, Age, and Area Deprivation Index (ADI) on COVID-19 Disease Early Dynamics: Washington, D.C. Case Study.

The COVID-19 pandemic and its associated mitigation strategies have significant psychosocial, behavioral, socioeconomic, and health impacts, particularly in vulnerable US populations. Different factors have been identified as influencers of the transmission rate; however, the effects of area deprivation index (as a measure of social determinants of health, SDoH) as a factor on COVID-19 disease early dynamics have not been established. We determined the effects of area deprivation index (ADI) and demographic factors on COVID-19 outcomes in Washington, D.C. This retrospective study used publicly available data on COVID-19 cases and mortality of Washington, D.C., during March 31st-July 4th, 2020. The main predictors included area deprivation index (ADI), age, and race/ethnicity. The ADI of each census block groups in D.C. (n=433) were obtained from Neighborhood Atlas map. Using a machine learning-based algorithm, the outcome variables were partitioned into time intervals: time duration (Pi, days), rate of change coefficient (Ei), and time segment load (Pi×Ei) for transmission rate and mortality. Correlation analysis and multiple linear regression models were used to determine associations between predictors and outcome variables. COVID-19 early transmission rate (E1) was highly correlated with ADI (SDoH; r= 0.88, p=0.0044) of the Washington, D.C. community. We also found positive association between ADI, age (0-17 years, r=0.91, p=0.0019), and race (African American/Black, r=0.86; p=0.0068) and COVID-19 outcomes. There was high variability in early transmission across the geographic regions (i.e., wards) of Washington, D.C., and this variability was driven by race/ethnic composition and ADI. Understanding the association of COVID-19 disease early transmission and mortality dynamics and key socio-demographic risk factors such as age, race, and ADI, as a measure of social determinants, will contribute to health equity/equality and distribution of economic resources/assistance and is essential for future predictive modeling of the COVID-19 pandemic to limit morbidity and mortality.

Creating a Patient-Based Diagnostic Checklist for Functional Tics During the COVID-19 Pandemic.

Background and Objectives: Since the onset of the COVID-19 pandemic, there has been a dramatic change in the presentation of patients with tics. The explosive presentation of atypical tics (TT) has been noted worldwide and thought to be the manifestation of a pandemic-associated functional neurologic disorder following social media exposure to tics. Nevertheless, despite the frequent diagnosis of functional tics (FT), there are no existing formal diagnostic criteria. The primary aim of this study was to create a patient-based diagnostic checklist for making the diagnosis of a functional tic disorder (FTD) during the COVID-19 pandemic. Methods: A retrospective chart review at a single institution during the pandemic was performed. Based on the available literature, diagnostic criteria were created for TT, FT, and patients with dramatically evolving symptoms (i.e., mixed with prior history of mild tics with later fulminant functional worsening). Patient demographics, comorbidities, and tic characteristics of these groups were then compared. Following initial assessments, new diagnostic criteria were established and statistically reanalyzed. Results: One hundred ninety-eight patients underwent investigation. Significant differences in age, sex, psychological comorbidities, tic characteristics, and tic severity were found between patients with TT when compared with either of the 2 the functional groups. Only the presence of rostrocaudal progression and increased obsessive-compulsive behaviors were significantly different between patients with new-onset FT and those with functional worsening of a previous tic disorder. Results also showed that age at tic onset was not a contributing factor for group differentiation. Many patients with FT were not exposed to videos depicting tics on social media. Discussion: This study confirms the presence of a distinct presentation of aTT during the pandemic period. It further establishes the validity of specific criteria useful in dividing patients with tics into 3 formal diagnostic criteria: (1) primary tic disorders (PTDs), (2) a strictly FTD, and (3) a mixed tic disorder consisting of patients with an initial history of a PTD and the later development of FT. Explicit diagnostic criteria should enable clinicians and researchers to make a definitive identification and assist patients and families become more knowledgeable and accepting of the diagnosis of FT.

Household Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 in the United States: Living Density, Viral Load, and Disproportionate Impact on Communities of Color.

BACKGROUND: Households are hot spots for severe acute respiratory syndrome coronavirus 2 transmission. METHODS: This prospective study enrolled 100 coronavirus disease 2019 (COVID-19) cases and 208 of their household members in North Carolina though October 2020, including 44% who identified as Hispanic or non-White. Households were enrolled a median of 6 days from symptom onset in the index case. Incident secondary cases within the household were detected using quantitative polymerase chain reaction of weekly nasal swabs (days 7, 14, 21) or by seroconversion at day 28. RESULTS: Excluding 73 household contacts who were PCR-positive at baseline, the secondary attack rate (SAR) among household contacts was 32% (33 of 103; 95% confidence interval [CI], 22%-44%). The majority of cases occurred by day 7, with later cases confirmed as household-acquired by viral sequencing. Infected persons in the same household had similar nasopharyngeal viral loads (intraclass correlation coefficient = 0.45; 95% CI, .23-.62). Households with secondary transmission had index cases with a median viral load that was 1.4 log10 higher than those without transmission (P = .03), as well as higher living density (more than 3 persons occupying fewer than 6 rooms; odds ratio, 3.3; 95% CI, 1.02-10.9). Minority households were more likely to experience high living density and had a higher risk of incident infection than did White households (SAR, 51% vs 19%; P = .01). CONCLUSIONS: Household crowding in the context of high-inoculum infections may amplify the spread of COVID-19, potentially contributing to disproportionate impact on communities of color.

Advance Care Planning for Emergency Department Patients With COVID-19 Infection: An Assessment of a Physician Training Program.

OBJECTIVE: Coronavirus Disease 2019 (COVID-19) has heightened the importance of advance care planning (ACP), particularly in the emergency department (ED). The objective of this study was to determine the effect of an educational program for emergency physicians on ACP conversations in the ED during the COVID-19 pandemic. DESIGN: This was an observational pre-/post-interventional study. SETTING: This study was conducted at a Southeastern U.S. academic ED. PARTICIPANTS: 143 patients with confirmed COVID-19 infection in the 2 weeks up to and including the ED encounter of interest (between March 26 and May 25, 2020) were included. INTERVENTIONS: The primary intervention was an ACP training toolkit with three components: (1) an evidence-based guide to COVID-19 risk stratification, (2) education on language to initiate ACP conversations, and (3) modification of the electronic health record (EHR) to facilitate ACP documentation. Palliative care physicians also delivered a 60-minute ACP educational session for emergency medicine physicians. OUTCOME MEASURES: The primary outcome was a composite of ACP activities including: (1) identification of a healthcare decision-maker (HCDM), (2) an order for a code status, or (3) a documented goals of care conversation. RESULTS: There was a 25.4% (95% CI: 7.0-43.9) increase in the composite outcome of ED-based ACP. After adjustment for patient demographics and triage score, there was a non-statistically significant increase in ACP activity (OR = 2.71, 95% CI: 0.93-8.64; P = .08). CONCLUSION: A rapid and simple physician-facing educational intervention demonstrated a trend, though lacking in statistical significance, towards increased ED-based ACP activities for patients with COVID-19.

Practical strategies for SARS-CoV-2 RT-PCR testing in resource-constrained settings.

Alternatives to nasopharyngeal sampling are needed to increase capacity for SARS-CoV-2 testing. Among 275 participants, we piloted the collection of nasal mid-turbinate swabs amenable to self-testing, including polyester flocked swabs as well as 3D-printed plastic lattice swabs, placed into viral transport media or an RNA stabilization agent. Flocked nasal swabs identified 104/121 individuals who were PCR-positive for SARS-CoV-2 by nasopharyngeal sampling (sensitivity 87%, 95% CI 79-92%), missing those with low viral load (<106 viral copies/mL). 3D-printed nasal swabs showed similar sensitivity. When nasal swabs were placed directly into RNA preservative, the mean 1.4 log decrease in viral copies/uL compared to nasopharyngeal samples was reduced to <1 log, even when samples were left at room temperature for up to 7 days. We also evaluated pooling strategies that involved pooling specimens in the lab versus pooling swabs at the point of collection, finding both successfully detected samples with >105 viral copies/mL.