Dataset Information

The Impact of Socioeconomic Status on the Clinical Outcomes of COVID-19; a Retrospective Cohort Study.

ABSTRACT: There have been limited data assessing the influence of disadvantaged socioeconomic status (SES) on the incidence and clinical outcomes of COVID-19 patients within the diverse communities of the United States. Here, we aim to investigate the association between poverty level, as an indicator of SES, and COVID-19 related clinical outcomes including hospitalization and all-cause mortality. This retrospective cohort study included 3528 patients with laboratory confirmed COVID-19 seen at a large New York City health system between March 1, 2020 and April 1, 2020. Data for neighborhood level poverty was acquired from the American Community Survey 2014-2018 and defined as the percent of residents in each ZIP code whose household income was below the federal poverty threshold (FPT): 0% to ?20% below FPT (high poverty). COVID-19 positive patients who resided in high poverty areas were significantly younger, had a higher prevalence of comorbidities and were more likely to be of female gender or a racial minority when compared to individuals living in low poverty areas. Residence in a high poverty area was not associated with an increased risk of COVID-19 related hospitalization and was found to be associated with a decreased risk of in-hospital mortality. This study suggests the existence of an unequal socioeconomic gradient in the demographic and clinical presentation of COVID-19 patients including differences in age, gender and race between poverty groups. Further studies are needed to fully assess the intersectionality of SES with the COVID-19 pandemic.

SUBMITTER: Little C

PROVIDER: S-EPMC7775835 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Impact of Socioeconomic Status on the Clinical Outcomes of COVID-19; a Retrospective Cohort Study.

Little Christine C Alsen Mathilda M Barlow Joshua J Naymagon Leonard L Tremblay Douglas D Genden Eric E Trosman Samuel S Iavicoli Laura L van Gerwen Maaike M

Journal of community health 20210102 4

There have been limited data assessing the influence of disadvantaged socioeconomic status (SES) on the incidence and clinical outcomes of COVID-19 patients within the diverse communities of the United States. Here, we aim to investigate the association between poverty level, as an indicator of SES, and COVID-19 related clinical outcomes including hospitalization and all-cause mortality. This retrospective cohort study included 3528 patients with laboratory confirmed COVID-19 seen at a large New ...[more]

PMID: 33387149

Similar Datasets

Project description:BackgroundThe impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19).ObjectiveTo evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission in patients hospitalized with COVID-19.DesignRetrospective cohort study.SettingFour hospitals in an integrated health system serving southeast Michigan.ParticipantsAdult patients admitted to the hospital with a COVID-19 diagnosis confirmed by polymerase chain reaction.Main measuresPatient sociodemographics, comorbidities, and clinical outcomes were collected. Neighborhood socioeconomic variables were obtained at the census tract level from the 2018 American Community Survey. Relationships between neighborhood median income and clinical outcomes were evaluated using multivariate logistic regression models, controlling for patient age, sex, race, Charlson Comorbidity Index, obesity, smoking status, and living environment.Key resultsBlack patients lived in significantly poorer neighborhoods than White patients (median income: $34,758 (24,531-56,095) vs. $63,317 (49,850-85,776), p < 0.001) and were more likely to have Medicaid insurance (19.4% vs. 11.2%, p < 0.001). Patients from neighborhoods with lower median income were significantly more likely to require IMV (lowest quartile: 25.4%, highest quartile: 16.0%, p < 0.001) and ICU admission (35.2%, 19.9%, p < 0.001). After adjusting for age, sex, race, and comorbidities, higher neighborhood income ($10,000 increase) remained a significant negative predictor for IMV (OR: 0.95 (95% CI 0.91, 0.99), p = 0.02) and ICU admission (OR: 0.92 (95% CI 0.89, 0.96), p < 0.001).ConclusionsNeighborhood disadvantage, which is closely associated with race, is a predictor of poor clinical outcomes in COVID-19. Measures of neighborhood disadvantage should be used to inform policies that aim to reduce COVID-19 disparities in the Black community.

Project description:BackgroundNon-steroidal anti-inflammatory drugs (NSAIDs) are commonly used to reduce pain, fever, and inflammation but have been associated with complications in community-acquired pneumonia. Observations shortly after the start of the COVID-19 pandemic in 2020 suggested that ibuprofen was associated with an increased risk of adverse events in COVID-19 patients, but subsequent observational studies failed to demonstrate increased risk and in one case showed reduced risk associated with NSAID use.MethodsA 38-center retrospective cohort study was performed that leveraged the harmonized, high-granularity electronic health record data of the National COVID Cohort Collaborative. A propensity-matched cohort of COVID-19 inpatients was constructed by matching cases (treated with NSAIDs) and controls (not treated) from 857,061 patients with COVID-19. The primary outcome of interest was COVID-19 severity in hospitalized patients, which was classified as: moderate, severe, or mortality/hospice. Secondary outcomes were acute kidney injury (AKI), extracorporeal membrane oxygenation (ECMO), invasive ventilation, and all-cause mortality at any time following COVID-19 diagnosis.ResultsLogistic regression showed that NSAID use was not associated with increased COVID-19 severity (OR: 0.57 95% CI: 0.53-0.61). Analysis of secondary outcomes using logistic regression showed that NSAID use was not associated with increased risk of all-cause mortality (OR 0.51 95% CI: 0.47-0.56), invasive ventilation (OR: 0.59 95% CI: 0.55-0.64), AKI (OR: 0.67 95% CI: 0.63-0.72), or ECMO (OR: 0.51 95% CI: 0.36-0.7). In contrast, the odds ratios indicate reduced risk of these outcomes, but our quantitative bias analysis showed E-values of between 1.9 and 3.3 for these associations, indicating that comparatively weak or moderate confounder associations could explain away the observed associations.ConclusionsStudy interpretation is limited by the observational design. Recording of NSAID use may have been incomplete. Our study demonstrates that NSAID use is not associated with increased COVID-19 severity, all-cause mortality, invasive ventilation, AKI, or ECMO in COVID-19 inpatients. A conservative interpretation in light of the quantitative bias analysis is that there is no evidence that NSAID use is associated with risk of increased severity or the other measured outcomes. Our findings are the largest EHR-based analysis of the effect of NSAIDs on outcome in COVID-19 patients to date. Our results confirm and extend analogous findings in previous observational studies using a large cohort of patients drawn from 38 centers in a nationally representative multicenter database.

Project description:BackgroundThe COVID-19 pandemic remains an immediate and present concern, yet as of now there is still no approved therapeutic available for the treatment of COVID-19.This study aimed to investigate and report evidence concerning demographic characteristics and currently-used medications that contribute to the ultimate outcomes of COVID-19 ICU patients.MethodsA retrospective cohort study was conducted among all COVID-19 patients in the Intensive Care Unit (ICU) of Asir Central Hospital in Saudi Arabia between the 1st and 30th of June 2020. Data extracted from patients' medical records included their demographics, home medications, medications used to treat COVID-19, treatment durations, ICU stay, hospital stay, and ultimate outcome (recovery or death).Descriptive statistics and regression modelling were used to analyze and compare the results. The study was approved by the Institutional Ethics Committees at both Asir Central Hospital and King Khalid University.ResultsA total of 118 patients with median age of 57 years having definite clinical and disease outcomes were included in the study. Male patients accounted for 87% of the study population, and more than 65% experienced at least one comorbidity. The mean hospital and ICU stay was 11.4 and 9.8 days, respectively. The most common drugs used were tocilizumab (31.4%), triple combination therapy (45.8%), favipiravir (56.8%), dexamethasone (86.7%), and enoxaparin (83%). Treatment with enoxaparin significantly reduced the length of ICU stay (p = 0.04) and was found to be associated with mortality reduction in patients aged 50-75 (p = 0.03), whereas the triple regimen therapy and tocilizumab significantly increased the length of ICU stay in all patients (p = 0.01, p = 0.02 respectively).ConclusionCOVID-19 tends to affect males more significantly than females. The use of enoxaparin is an important part of COVID-19 treatment, especially for those above 50 years of age, while the use of triple combination therapy and tocilizumab in COVID-19 protocols should be reevaluated and restricted to patients who have high likelihood of benefit.

Project description:BACKGROUND:Obesity is an epidemic in New York City, the global epicenter of the coronavirus pandemic. Previous studies suggest that obesity is a possible risk factor for adverse outcomes in COVID-19. OBJECTIVE:To elucidate the association between obesity and COVID-19 outcomes. DESIGN:Retrospective cohort study of COVID-19 hospitalized patients tested between March 10 and April 13, 2020. SETTING:SUNY Downstate Health Sciences University, a COVID-only hospital in New York. PARTICIPANTS:In total, 684 patients were tested for COVID-19 and 504 were analyzed. Patients were categorized into three groups by BMI: normal (BMI 18.50-24.99), overweight (BMI 25.00-29.99), and obese (BMI???30.00). MEASUREMENTS:Primary outcome was 30-day in-hospital mortality, and secondary outcomes were intubation, acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), and acute cardiac injury (ACI). RESULTS:There were 139 patients (27%) with normal BMI, 150 patients who were overweight (30%), and 215 patients with obesity (43%). After controlling for age, gender, diabetes, hypertension, and qSOFA score, there was a significantly increased risk of mortality in the overweight (RR 1.4, 95% CI 1.1-1.9) and obese groups (RR 1.3, 95% CI 1.0-1.7) compared with those with normal BMI. Similarly, there was a significantly increased relative risk for intubation in the overweight (RR 2.0, 95% CI 1.2-3.3) and obese groups (RR 2.4, 95% CI 1.5-4.0) compared with those with normal BMI. Obesity did not affect rates of AKI, ACI, or ARDS. Furthermore, obesity appears to significantly increase the risk of mortality in males (RR 1.4, 95% CI 1.0-2.0, P?=?0.03), but not in females (RR 1.2, 95% CI 0.77-1.9, P?=?0.40). CONCLUSION:This study reveals that patients with overweight and obesity who have COVID-19 are at increased risk for mortality and intubation compared to those with normal BMI. These findings support the hypothesis that obesity is a risk factor for COVID-19 complications and should be a consideration in management of COVID-19.

Dataset Information

The Impact of Socioeconomic Status on the Clinical Outcomes of COVID-19; a Retrospective Cohort Study.

Publications

The Impact of Socioeconomic Status on the Clinical Outcomes of COVID-19; a Retrospective Cohort Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure