scholarly journals COVID-19 Pandemic Highlights Health Disparities in Latinos in San Diego

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 29-30
Author(s):  
Elisa Quiroz ◽  
David J Hermel ◽  
Samantha R Bagsic ◽  
Carrie L. Costantini ◽  
Anuj Mahindra ◽  
...  

Introduction: Minority healthcare disparities are well known in many areas of medicine. Higher mortality has been reported in minorities with different cancer types despite adjusting for income or education. In hematological malignancies the trend persists. Despite favorable prognostic factors upon diagnosis of acute myelogenous leukemia, the mortality risk for Latinos and African Americans is higher by 12% and 7%, respectively. Both incidence and mortality in acute lymphoblastic leukemia are highest in Latinos. In Hodgkin's Lymphoma, Latino and African American adolescents and young adults have a higher risk of death at 35% and 62%, respectively. The COVID-19 pandemic has drawn attention to the immense disparities in healthcare outcomes in minority communities. Disproportionate rates of hospitalization and death related to COVID-19 have been reported across the nation, highlighting the stark consequences of historic racial and economic injustices. With these findings comes a call to action and an urgency to create systemic change to promote health equity. Methods: Patients hospitalized at any Scripps Health hospital in San Diego County from March 1, 2020 to July 30, 2020 with a PCR confirmed diagnosis of COVID-19 and blood type were included in the analysis (n = 316). Demographic, laboratory and clinical data were extracted from the electronic medical record and included age, ethnicity, BMI, sex, medications, co-morbidities, blood type, white blood cell count, lymphocyte count, hemoglobin, platelets, ESR, CRP and D-dimer. Outcomes of interest included length of say (LOS), intensive care unit (ICU) admission, intubation and mortality. Analysis was performed with an a priori predictor of Latin American ethnicity. Linear regression analysis of LOS, logistic regression of other variables and age-adjusted regression was done. Demographic characteristics that were predictive in univariate analysis with p< 0.1 were included in a multiple regression model for each outcome with Latin American ethnicity as a predictor. If the potentially predictive demographic characteristic maintained trends toward significance (p<0.1), the predictor was retained in the model to produce the final regression results for each outcome. Results: Hospitalized COVID patients were predominantly male, obese (BMI 30.6) and average age was 63 years. 69.3% of patients were Hispanic. 65.51% of patients were diabetic, 26.27% had chronic kidney disease and 23.10% had congestive heart failure. Additional patient characteristics are included in Table 1. Median length of hospital stay was 16.5 days, 59% were admitted to the ICU, 37% were intubated, and 27% died. Blood type was not found to be a predictor of outcomes. The odds ratio (OR) of age adjusted LOS for Latinos was 1.01 days (p-value 0.60), 1.06 for ICU admission (p-value 0.80) and 0.82 for death (p-value 0.50). After adjusting for age and other potentially predictive characteristics, Hispanic ethnicity was not predictive of poor outcomes. Conclusion: In this retrospective analysis of patients hospitalized for COVID-19 in San Diego County, there was a strikingly high rate of hospitalizations in Latino patients. While the 2019 United States Census estimates the Latino population in San Diego to be 34.1%, Latinos comprised nearly 70% of patients hospitalized with COVID-19 in the Scripps Health system. Despite the high rate of admissions in Latino patients, Latin American ethnicity was not a predictor of poor outcomes as previously reported in other populations. The underlying etiology of the high rates of COVID-19 hospital admission in Latinos is likely multifactorial due to overcrowding, lack of access to healthcare and higher prevalence of chronic illness as demonstrated by our cohort's increased incidence of co-morbid conditions. Disclosures No relevant conflicts of interest to declare.

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 20-21
Author(s):  
David J Hermel ◽  
Elisa Quiroz ◽  
Samantha R Bagsic ◽  
Carrie L. Costantini ◽  
Alan Saven ◽  
...  

Introduction: Early epidemiological studies of U.S. patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have suggested a possible association between ABO/Rh blood group phenotype and both susceptibility and severity of COVID-19 infection. Given the remarkable heterogeneity of the host inflammatory response in this viral syndrome and the widespread expression of ABO/Rh antigens on vascular and alveolar endothelial cells, it is biologically plausible that certain blood group phenotypes, with their unique repertoire of anti-A and/or anti-B antibodies, may differentially augment the host-pathogen response. We conducted a retrospective review of patients hospitalized for COVID-19 within our regional healthcare network in San Diego County to identify an association between ABO/Rh blood group type and the severity of infection. Methods: All patients hospitalized at one of five Scripps Health hospitals in San Diego County from March 1, 2020 to July 30, 2020 with a PCR confirmed diagnosis of COVID-19 and blood type on record were included in the initial analysis (n = 316). Demographic, laboratory and clinical data were extracted from the electronic medical record and included age, ethnicity, BMI, sex, medications, co-morbidities and admission white blood cell and lymphocyte count, hemoglobin, platelets, ESR, CRP and D-dimer. Outcomes of interest included length of hospitalization, intensive care unit (ICU) admission, mechanical ventilation need, and mortality. Significant associations between each parameter of interest and blood group type were determined using either linear or logistic regression analysis. To address potential confounding variables, an adjusted multivariate model accounting for potential significant (p< 0.1) predictors of each outcome on univariate analysis, in addition to blood type groups, was conducted to further refine any associations. The study was approved by the Scripps Health Institutional Review Board. Results: 316 patients met inclusion criteria for analysis. Hospitalized COVID patients were predominantly male, obese (BMI 30.6) and were an average age of 63 years. Almost 70% of patients hospitalized were Hispanic. 57.0% of patients were blood type O, 30.4% were type A, 3.8% were type B and 8.9% were type AB. 7% were Rh negative. Median length of hospital stay was 16.5±14.7 days, 59% were admitted to the ICU, 37% were intubated, and 27% died. Further relevant laboratory values on admission, co-morbidities, and medications administered during hospitalization are summarized in Table 1. Blood type, with or without adjusting for other clinical variables, was not predictive of length of hospital stay, ICU admission, or intubation during the hospitalization. Type B blood alone was associated with decreased odds of death (OR: 0.27, 95% CI: 0.06-0.85, p<0.05), though this effect was not seen after adjusting for significant confounding variables (OR: 0.39, 95% CI: 0.08-1.43, p>0.18). Conclusion: In this large, multi-hospital, retrospective analysis of patients hospitalized for COVID-19 in San Diego County, there was a low relative percentage of Rh negative blood type and type B blood compared to historical population averages. Blood type was not determined to be independently associated with hospital length of stay, mechanical ventilation, ICU admission or death. ABO/Rh blood typing appears to have a limited prognostic role in COVID-19 severity of hospitalized patients, though further analysis of the protective effects of type B and/or Rh negative blood type may be warranted in a larger sample. Disclosures No relevant conflicts of interest to declare.


Author(s):  
Alexander Sosa Frias ◽  
Aimara de la C Vergara Santos

Background: The new coronavirus disease 2019 (COVID-19) emerged in Wuhan, China, in December 2019. Researchers described COVID-19 mortality risk factors as being elderly, male, having comorbidities, and in some ethnicities. Some authors validated the use of first chest x-ray (CXR) severity scores (CSE) as an independent indicator of poor outcomes with COVID-19. Our objective was to evaluate the clinical and CXR findings as predictors of poor outcomes (death, needing intubation, Intensive Care Unit (ICU) admission) in patients with COVID-19. Methods: We performed a retrospective study of case-controls using a sample size of 60 patients admitted with the diagnosis of COVID-19 during the period of July-August 2020 to the Cuban Hospital in Qatar, as determined with the free online OpenEpi software (https://www.openepi.com/SampleSize/SSCC.htm). We defined cases as patients with a complication like death, needing intubation, ICU admission, or organ failure, and controls as patients who did not demonstrate the described complications. The dependent variables used were patient evolution divided into poor outcome or good outcome. The independent variables used were age, history of diabetes mellitus type II, and high blood pressure (HBP), CSE, and white blood count (WBC). The bivariate analysis was performed using the Chi-Square test or Fisher exact test. Multivariate analysis was done using binary logistic regression (IBM SPSS software 25). The results are expressed in Odds Ratio with p-value < 0.05 defined as statistically significant. Results: The bivariate analysis showed being older, having a history of HBP, diabetes, abnormal WBC, and high CSE were linked to poor outcome (p < 0.05) . The multivariate analysis defined WBC and CSE with independent influence over the patient evolution . Conclusion: We demonstrated that the value of WBC and CSE are predictors of poor outcome in patients with COVID-19. WBC increases the possibility of the described complications in COVID-19 patients 68,634 times and CSE 12,201 times.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A351-A351
Author(s):  
Jaspreet Hehar ◽  
Erika Todter ◽  
Sharon Wu Lahiri

Abstract The Severe Acute Respiratory Syndrome Coronavirus-2 infection has resulted in a global pandemic with survival statistics 95–99%, however severe disease has been described. This is a retrospective cohort study of patients &gt; age 18 admitted to Henry Ford Health System in Detroit from March 1 - June 1, 2020 for COVID-19 infection with aims to: 1. Determine the incidence of poor outcomes (mechanical ventilation (MV), ICU admission, death, and venous thromboembolism (VTE)), 2. Describe the clinical characteristics of this group, and 3. Evaluate relationships between demographics, diabetes mellitus (DM), obesity, and inflammatory markers on outcomes. We hypothesized that older age, male gender, African American ethnicity, DM, obesity, and elevated inflammatory markers would predict poor outcomes. 8751 inpatients were included, of whom 682 (7.79%) required MV, 867 (9.91%) were admitted to the ICU, 753 (8.6%) died, and 430 (4.91%) had VTE. 4447 (50.8%) were African American, 4951 (56.6%) female, 5152 (58.9%) &gt; age 50, and 2068 (23.6%) had DM. Of those who had BMI and A1c recorded, 2556 (50.2%) had BMI &gt;30 kg/m2 and 1138 (74.3%) had A1c &gt;5.7%. Analyses controlling for demographics and comorbidities found that age and male gender were significant predictors of MV (OR = 1.031; CI= 1.025–1.037; P &lt; 0.0001, OR =2.023; CI= 1.700–2.407; P&lt;0.0001), ICU admission (OR 1.024; CI= 1.018–1.029; P&lt;0.0001, OR 1.824; CI= 1.561–2.130; P&lt;0.001), death (OR 1.077; CI= 1.069–1.085; P&lt;0.0001, OR 1.823; CI= 1.521–2.185; P&lt;0.0001), and VTE (OR 1.021; CI= 1.014–1.028; P&lt;0.001, OR 1.293; CI= 1.043–1.603; P=0.0193). African American, compared to Caucasian ethnicity, was significantly associated with MV (OR 1.437; CI= 1.131–1.825; P=0.0009) and ICU admission (OR 1.428; CI= 1.150–1.773; P=0.0002), but not VTE. African Americans had significantly lower odds of death relative to Caucasians (OR 0.765; CI=0.604–0.969; P=0.0200). DM predicted MV (OR 1.999; CI= 1.677–2.383; P&lt;0.0001), ICU admission (OR 2.014; CI= 1.717–2.364; P&lt;0.0001), death (OR 1.501; CI= 1.250–1.803; P&lt;0.0001), and VTE (OR 1.468; CI= 1.171–1.840; P=0.0009). Obesity predicted MV (OR 1.540; CI= 1.284–1.847; P&lt;0.0001) and ICU admission (OR 1.395; CI= 1.186–1.642; P&lt;0.0001) but not death or VTE. All inflammatory markers (D-dimer, ferritin, CRP, IL-6 and procalcitonin) were significantly correlated with MV and death. 3 of the 5 markers were also predictive of both ICU admission and VTE. This large retrospective study of a diverse population with a significant proportion of African Americans highlights the importance of taking age, male gender, African American ethnicity, presence of DM and obesity into account when determining risk of poor outcomes. These results contribute to the growing data on disparities in health care which have become more evident during this pandemic and the need to address this when designing public policy.


2008 ◽  
Author(s):  
Perry S. Clark ◽  
Wendy S. Scratch ◽  
Gaylord W. Bias ◽  
Gregory B. Stander ◽  
Jenne L. Sexton ◽  
...  
Keyword(s):  

2008 ◽  
Author(s):  
Perry S. Clark ◽  
Wendy S. Scratch ◽  
Gaylord W. Bias ◽  
Gregory B. Stander ◽  
Jenne L. Sexton ◽  
...  
Keyword(s):  

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