Biases and limitations in observational studies of Long COVID prevalence and risk factors: A rapid systematic umbrella review.

BACKGROUND: Observational studies form the foundation of Long COVID knowledge, however combining data from Long COVID observational studies has multiple methodological challenges. This umbrella review synthesizes estimates of Long COVID prevalence and risk factors as well as biases and limitations in the primary and review literatures. METHODS AND FINDINGS: A systematic literature search was conducted using multiple electronic databases (PubMed, EMBASE, LitCOVID) from Jan 1, 2019 until June 9, 2023. Eligible studies were systematic reviews including adult populations assessed for at least one Long COVID symptom four weeks or more after SARS-CoV-2 infection. Overall and subgroup prevalence and risk factors as well as risk of bias (ROB) assessments were extracted and descriptively analyzed. The protocol was registered with PROSPERO (CRD42023434323). Fourteen reviews of 5-196 primary studies were included: 8 reported on Long COVID prevalence, 5 on risk/protective factors, and 1 on both. Prevalence of at least 1 Long COVID symptom ranged from 21% (IQR: 8.9%-35%) to 74.5% (95% CI: 55.6%-78.0%). Risk factor reviews found significant associations between vaccination status, sex, acute COVID-19 severity, and comorbidities. Both prevalence and risk factor reviews frequently identified selection and ascertainment biases. Using the AMSTAR 2 criteria, the quality of included reviews, particularly the prevalence reviews, were concerning for the adequacy of ROB assessments and justifications for conducting meta-analysis. CONCLUSION: A high level of heterogeneity render the interpretation of pooled prevalence estimates of Long COVID challenging, further hampered by the lack of robust critical appraisals in the included reviews. Risk factor reviews were of higher quality overall and suggested consistent associations between Long COVID risk and patient characteristics.

Trustworthiness, Not Trust: How Systemic Racism Impacts COVID-19 Vaccine Receipt.

To illuminate the forces of structural racism influencing COVID-19 vaccine receipt, we developed a conceptual model that recontextualizes trust and presents potential pathways to address structural racism. Our model emerged from Chicagoland CEAL, a partnership of community and academic experts collaborating to encourage COVID-19 vaccine uptake for communities of color. We concluded that systemic factors influenced by racism contribute to an overall lack of trustworthiness in vaccine-affiliated institutions. We highlight the need to recenter discussions of COVID-19 vaccination on our system's trustworthiness rather than mistrust and suggest using the model to test pathways to close racial gaps in COVID-19 vaccination.

Prevalence and Characteristics of Long COVID 7-12 Months After Hospitalization Among Patients From an Urban Safety-Net Hospital: A Pilot Study.

Introduction: Little is known about the burden of long COVID among Black and Hispanic patients in the U.S. We surveyed adult patients hospitalized for COVID-19 at John H. Roger, Jr. Hospital of Cook County, a safety-net hospital predominantly serving Black and Hispanic patients in Chicago, for persistent symptoms after hospitalization to assess prevalence and identify risk factors. Methods: Cross-sectional data were obtained over 6 months after discharge from patients hospitalized at John H. Roger, Jr. Hospital of Cook County who tested positive for SARS-CoV-2 between October 1, 2020 and January 12, 2021. Multivariable logistic regression was used to analyze the associations between patient characteristics and symptom persistence. Results: Of 145 patients surveyed at a median follow-up period of 255 days (IQR=238-302), 80% were Black or Hispanic, and 50 (34%) reported at least 1 symptom. In multivariable logistic regression, the risk of long COVID was associated with the severity of acute COVID-19 illness, consistent with findings from population-based cohort studies. Conclusions: Long COVID prevalence remains high 7 months to a year after an initial illness in a majority Black and Hispanic hospitalized cohort. There is a long-term and ongoing need to assess and address the burden of long COVID, especially among minority communities disproportionately affected by acute COVID-19.

Variations in COVID-19 Hospital Mortality by Patient Race/Ethnicity and Hospital Type in Illinois.

BACKGROUND AND OBJECTIVES: It is controversial whether hospital care mitigated or exacerbated population level racial and ethnic disparities in COVID-19 mortality. To begin answering that question, this study analyzed variations in COVID-19 hospital mortality in Illinois by patient race and ethnicity and by hospital characteristics, while providing an estimate of hospital-level variation in COVID-19 mortality. METHOD: This is a retrospective cohort study based on hospital administrative data for adult patients with COVID-19 discharged from acute care, non-federal Illinois hospitals from April 1, 2020 through June 30, 2021. The association of patient and hospital characteristics with the likelihood of death was analyzed using multilevel logistic regression. RESULTS: There were 158,569 COVID-19-coded admissions to 181 general hospitals in Illinois; 14.5% resulted in death or discharge to hospice. Hospital deaths accounted for nearly 90% of all COVID-19-associated deaths over 15 months in Illinois. After adjusting for patient- and hospital-level characteristics, Hispanic patients had higher mortality risk (aOR 1.26, 95% CI: 1.20-1.33) as compared with non-Hispanic White patients, while non-Hispanic Black patients had lower mortality risk (aOR 0.75, 95% CI: 0.71-0.79). Safety net hospitals receiving disproportionate share hospital (DSH) funds had higher mortality risk (aOR 1.81, 95% CI: 1.43-2.30) compared with other hospitals. CONCLUSION: Risk-adjusted COVID-19 hospital mortality was highest among patients of Hispanic ethnicity, while non-Hispanic Black patients had lower risk than non-Hispanic White patients. There was significant variation in hospital mortality rates, with particularly high safety net hospital mortality.