Objectives: To describe the association of demographics of sex, comorbidities, age with the risk of severe (Coronavirus Disease 2019) COVID-19 requiring intensive care unit level of care, and death in a primarily Latinx/Hispanic U.S.-Mexico border hospital operating at surge capacity.
Background: According to the CDC, the Latinx/Hispanic population in the U.S. have been particularly affected by severe COVID-19 complications and high mortality rates. Border hospitals and their emergency departments (ED) are particularly vulnerable to widespread communicable respiratory infections and severe COVID-19 complications and poor outcomes such as surges of hospitalizations and death. Multiple factors such as inadequate healthcare infrastructure in border areas, access to preventative healthcare and subsequently higher prevalence of comorbidities that increase the risk for severe COVID-19 in the Latinx/Hispanic patient population overall. At the U.S.-Mexico border region, there is a paucity of research and data regarding how COVID-19 affects this predominantly Latinx/Hispanic community. Our study seeks to identify demographic, and clinical risk factors that make this specific community vulnerable to severe COVID-19 complications such as intensive care unit (ICU) utilization and death.
Methods: This is was a retrospective, observational chart review of 156 hospitalized COVID-19 patients during a surge at a border hospital. Adult patients (> 18 years) diagnosed with SARS-CoV-2 and met admission criteria from April 10, 2020 to May 30, 2020 were included. Excluded were pediatric patients (< 18 years of age), patients who did not consent for treatment, pregnant women, patients who did not meet the above inclusion criteria. Descriptive statistics of sex, age categories of 18-49, 50-64, and > 65 years or older, BMI, presence of at least one comorbidity (coronary artery disease, hypertension, diabetes, cancer/lymphoma, current use of immunosuppressive drug therapy, chronic kidney disease/dialysis, or chronic respiratory disease), along with complications were done. Multivariate regression models were produced from the most significant variables and factors for ICU admission. The final, reduced regression model, a p-value <0.05 was considered statistically significant and confidence intervals were reported at a level 95%.
Results: Of the 156 hospitalized patients, 63.5% (99) were male, 132 (84.6%) admitted for respiratory failure, average age was 67.2 (+/-12.2). There were 71 (45.5%) patients who required intensive care. Those > 65 years old had a higher frequency of ICU admission. Seventy-nine percent (49) of the ICU patients had a BMI over 25. Most common comorbidities were diabetes, hypertension, and coronary artery disease/hyperlipidemia. The regression model showed that males had a 4.4 (95% CI 1.576, 12.308) odds of ICU admission (p=0.0047). Those who developed acute kidney injury (AKI) and BMI 25-29.9 were strong predictors of ICU admission (p<0.001 and p=0.0020, respectively). No single comorbidity was associated with ICU admission. However, those with at least one comorbidity, there was 1.984 increased odds (95% CI 1.313, 2.998) of an ICU admission. Of those admitted in the ICU, 72% (16) died.
Conclusion: The Latinx/Hispanic border populations have a high prevalence of comorbidities and potential complications that increase their risk for COVID-19 complications that lead to ICU admissions and death.