Correlation of Gastrointestinal Symptoms at Initial Presentation with Clinical Outcomes in Hospitalized COVID-19 Patients: Results from a Large Health System in the Southern USA.

BACKGROUND: We aimed to understand the association of gastrointestinal (GI) symptoms at initial presentation with clinical outcomes during COVID-19 hospitalization. METHODS: This retrospective, multicenter cohort study included consecutive hospitalized COVID-19 patients from a single, large health system. The presence of GI symptoms was assessed at initial presentation and included one or more of the following: nausea, vomiting, diarrhea and abdominal pain. Patients were divided into three cohorts: Only GI symptoms, GI and non-GI symptoms and only non-GI symptoms. The primary outcome was association of GI symptoms with mortality. Secondary outcomes included prevalence of GI symptoms and survival analysis. RESULTS: A total of 1672 COVID-19 patients were hospitalized (mean age: 63 ± 15.8 years, females: 50.4%) in our system during the study period. 40.7% patients had at least one GI symptom (diarrhea in 28.3%, nausea/vomiting in 23%, and abdominal pain in 8.8% patients), and 2.6% patients had only GI symptoms at initial presentation. Patients presenting with GI symptoms (with or without non-GI symptoms) had a lower mortality rate compared to patients presenting with only non-GI symptoms (20% vs. 26%; p < 0.05). The time from hospitalization to being discharged was less for patients presenting with only GI symptoms (7.4 days vs. > 9 days, p < 0.0014). After adjusting for other factors, the presence of GI symptoms was not associated with mortality (p > 0.05). CONCLUSION: Among a hospitalized COVID-19 positive Southern US population, 41% patients presented with either diarrhea, nausea, vomiting or abdominal pain initially. The presence of GI symptoms has no association with in-hospital all-cause mortality.

Community versus individual risk of SARS-CoV-2 infection in two municipalities of Louisiana, USA: An assessment of Area Deprivation Index (ADI) paired with seroprevalence data over time.

OBJECTIVE: Determine whether an individual is at greater risk of severe acute respiratory distress syndrome coronavirus 2 (SARS-CoV-2) infection because of their community or their individual risk factors. STUDY DESIGN AND SETTING: 4,752 records from two large prevalence studies in New Orleans and Baton Rouge, Louisiana were used to assess whether zip code tabulation areas (ZCTA)-level area deprivation index (ADI) or individual factors accounted for risk of infection. Logistic regression models assessed associations of individual-level demographic and socioeconomic factors and the zip code-level ADI with SARS-CoV-2 infection. RESULTS: In the unadjusted model, there were increased odds of infection among participants residing in high versus low ADI (both cities) and high versus mid-level ADI (Baton Rouge only) zip codes. When individual-level covariates were included, the odds of infection remained higher only among Baton Rouge participants who resided in high versus mid-level ADI ZCTAs. Several individual factors contributed to infection risk. After adjustment for ADI, race and age (Baton Rouge) and race, marital status, household size, and comorbidities (New Orleans) were significant. CONCLUSIONS: While higher ADI was associated with higher risk of SARS-CoV-2 infection, individual-level participant characteristics accounted for a significant proportion of this association. Additionally, stage of the pandemic may affect individual risk factors for infection.

The importance of anosmia, ageusia and age in community presentation of symptomatic and asymptomatic SARS-CoV-2 infection in Louisiana, USA; a cross-sectional prevalence study.

OBJECTIVE: While many seroprevalence studies of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been performed, few are demographically representative. This investigation focused on defining the nature and frequency of symptomatic and asymptomatic SARS-CoV-2 infection in a representative, cross-sectional sample of communities in Louisiana, USA. METHODS: A sample of 4778 adults from New Orleans and Baton Rouge, Louisiana were given a survey of symptoms and co-morbidities, nasopharyngeal swab to test for active infection (PCR), and blood draw to test for past infection (IgG). Odds ratios, cluster analysis, quantification of virus and antibody, and linear modelling were used to understand whether certain symptoms were associated with a positive test, how symptoms grouped together, whether virus or antibody varied by symptom status, and whether being symptomatic was different across the age span. RESULTS: Reported anosmia/ageusia was strongly associated with a positive test; 40.6% (93/229) tested positive versus 4.8% (218/4549) positivity in those who did not report anosmia/ageusia (OR 13.6, 95% CI 10.1-18.3). Of the people who tested positive, 47.3% (147/311) were completely asymptomatic. Symptom presentation clustered into three groups; low/no symptoms (0.4 ± 0.9, mean ± SD), highly symptomatic (7.5 ± 1.9) or moderately symptomatic (4.0 ± 1.5). Quantity of virus was lower in the asymptomatic versus symptomatic group (cycle number 23.3 ± 8.3 versus 17.3 ± 9.0; p < 0.001). Modelling the probability of symptoms showed changes with age; the highest probability of reporting symptoms was 64.6% (95% CI 50.4-76.5) at age 29 years, which decreased to a probability of 49.3% (95% CI 36.6-62.0) at age 60 years and only 25.1% (95% CI 5.0-68.1) at age 80 years. CONCLUSION: Anosmia/ageusia can be used to differentiate SARS-CoV-2 infection from other illnesses, and, given the high ratio of asymptomatic individuals, contact tracing should include those without symptoms. Regular testing in congregant settings of those over age 60 years may help mitigate asymptomatic spread.

Racial and Workplace Disparities in Seroprevalence of SARS-CoV-2, Baton Rouge, Louisiana, USA.

By using paired molecular and antibody testing for severe acute respiratory syndrome coronavirus 2 infection, we determined point prevalence and seroprevalence in Louisiana, USA, during the second phase of reopening. Infections were highly variable by race and ethnicity, work environment, and ZIP code. Census-weighted seroprevalence was 3.6%, and point prevalence was 3.0%.