Incidence of bloodstream infections in patients with COVID-19: a retrospective cohort study of risk factors and outcomes.

Introduction: Prior evidence found that bloodstream infections (BSIs) are common in viral respiratory infections and can lead to heightened morbidity and mortality. We described the incidence, risk factors, and outcomes of BSIs in patients with COVID-19. Methods: This was a single-center retrospective cohort study of adults consecutively admitted from March to June 2020 for COVID-19 with BSIs. Data were collected by electronic medical record review. BSIs were defined as positive blood cultures (BCs) with a known pathogen in one or more BCs or the same commensal organism in two or more BCs. Results: We evaluated 290 patients with BCs done; 39 (13.4%) had a positive result. In univariable analysis, male sex, black/African American race, admission from a facility, hemiplegia, altered mental status, and a higher Charlson Comorbidity Index were positively associated with positive BCs, whereas obesity and systolic blood pressure (SBP) were negatively associated. Patients with positive BCs were more likely to have severe COVID-19, be admitted to the intensive care unit (ICU), require mechanical ventilation, have septic shock, and higher mortality. In multivariable logistic regression, factors that were independent predictors of positive BCs were male sex (OR=2.8, p=0.030), hypoalbuminemia (OR=3.3, p=0.013), ICU admission (OR=5.3, p<0.001), SBP<100 mmHg (OR=3.7, p=0.021) and having a procedure (OR=10.5, p=0.019). Patients with an abnormal chest X-ray on admission were less likely to have positive BCs (OR=0.3, p=0.007). Conclusions: We found that male sex, abnormal chest X-ray, low SBP, and hypoalbuminemia upon hospital admission, admission to ICU, and having a procedure during hospitalization were independent predictors of BSIs in patients with COVID-19.

High rate of Multidrug-Resistant Organisms (MDROs) among COVID-19 patients presenting with bacteremia upon hospital admission.

We investigated the clinical implications of bacteremia among hospitalized COVID-19 patients. Higher rates (52.1%) of multidrug resistant organisms (MDRO) were noted on hospital admission compared to nosocomial acquisition (25%). Methicillin resistant Staphylococcus aureus was the predominant pathogen. Bacteremia with MDRO should be considered in the differential diagnosis among at risk populations especially those admitted from nursing facilities.

Clinical Features and Risk Factors for In-Hospital Mortality From COVID-19 Infection at a Tertiary Care Medical Center, at the Onset of the US COVID-19 Pandemic.

BACKGROUND: Mortality from COVID-19 has been associated with older age, black race, and comorbidities including obesity, Understanding the clinical risk factors and laboratory biomarkers associated with severe and fatal COVID-19 will allow early interventions to help mitigate adverse outcomes. Our study identified risk factors for in-hospital mortality among patients with COVID-19 infection at a tertiary care center, in Detroit, Michigan. METHODS: We conducted a single-center, retrospective cohort study at a 776-bed tertiary care urban academic medical center. Adult inpatients with confirmed COVID-19 (nasopharyngeal swab testing positive by real-time reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assay) from March 8, 2020, to June 14, 2020, were included. Clinical information including the presence of comorbid conditions (according to the Charlson Weighted Index of Comorbidity (CWIC)), initial vital signs, admission laboratory markers and management data were collected. The primary outcome was in-hospital mortality. RESULTS: Among 565 hospitalized patients, 172 patients died for a case fatality rate of 30.4%. The mean (SD) age of the cohort was 64.4 (16.2) years, and 294 (52.0%) were male. The patients who died were significantly older (mean [SD] age, 70.4 [14.1] years vs 61.7 [16.1] years; P < 0.0001), more likely to have congestive heart failure (35 [20.3%] vs 47 [12.0%]; P = 0.009), dementia (47 [27.3%] vs 48 [12.2%]; P < 0.0001), hemiplegia (18 [10.5%] vs 18 [4.8%]; P = 0.01) and a diagnosis of malignancy (16 [9.3%] vs 18 [4.6%]; P = 0.03).From multivariable analysis, factors associated with an increased odds of death were age greater than 60 years (OR = 2.2, P = 0.003), CWIC score (OR = 1.1, P = 0.023), qSOFA (OR = 1.7, P < 0.0001), WBC counts (OR = 1.1, P = 0.002), lymphocytopenia (OR = 2.0, P = 0.003), thrombocytopenia (OR = 1.9, P = 0.019), albumin (OR = 0.6, P = 0.014), and AST levels (OR = 2.0, P = 0.004) on admission. CONCLUSIONS: This study identified risk factor for in-hospital mortality among patients admitted with COVID-19 in a tertiary care hospital at the onset of U.S. Covid-19 pandemic. After adjusting for age, CWIC score, and laboratory data, qSOFA remained an independent predictor of mortality. Knowing these risk factors may help identify patients who would benefit from close observations and early interventions.

Risk Factors for In-hospital Mortality from Coronavirus Disease 2019 Infection Among Black Patients-An Urban Center Experience.

BACKGROUND: Racial disparities are central in the national conversation about coronavirus disease 2019 (COVID-19) , with Black/African Americans being disproportionately affected. We assessed risk factors for death from COVID-19 among Black inpatients at an urban hospital in Detroit, Michigan. METHODS: This was a retrospective, single-center cohort study. We reviewed the electronic medical records of patients positive for severe acute respiratory syndrome coronavirus 2 (the COVID-19 virus) on qualitative polymerase chain reaction assay who were admitted between 8 March 2020 and 6 May 2020. The primary outcome was in-hospital mortality. RESULTS: The case fatality rate was 29.1% (122/419). The mean duration of symptoms prior to hospitalization was 5.3 (3.9) days. The incidence of altered mental status on presentation was higher among patients who died than those who survived, 43% vs 20.0%, respectively (P < .0001). From multivariable analysis, the odds of death increased with age (≥60 years), admission from a nursing facility, Charlson score, altered mental status, higher C-reactive protein on admission, need for mechanical ventilation, presence of shock, and acute respiratory distress syndrome. CONCLUSIONS: These demographic, clinical, and laboratory factors may help healthcare providers identify Black patients at highest risk for severe COVID-19-associated outcomes. Early and aggressive interventions among this at-risk population may help mitigate adverse outcomes.

Predictors for Severe COVID-19 Infection.

BACKGROUND: COVID-19 is a pandemic disease caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Predictors for severe COVID-19 infection have not been well defined. Determination of risk factors for severe infection would enable identifying patients who may benefit from aggressive supportive care and early intervention. METHODS: We conducted a retrospective observational study of 197 patients with confirmed COVID-19 admitted to a tertiary academic medical center. RESULTS: Of 197 hospitalized patients, the mean (SD) age of the cohort was 60.6 (16.2) years, 103 (52.3%) were male, and 156 (82.1%) were black. Severe COVID-19 infection was noted in 74 (37.6%) patients, requiring intubation. Patients aged above 60 were significantly more likely to have severe infection. Patients with severe infection were significantly more likely to have diabetes, renal disease, and chronic pulmonary disease and had significantly higher white blood cell counts, lower lymphocyte counts, and increased C-reactive protein (CRP) than patients with nonsevere infection. In multivariable logistic regression analysis, risk factors for severe infection included pre-existing renal disease (odds ratio [OR], 7.4; 95% CI, 2.5-22.0), oxygen requirement at hospitalization (OR, 2.9; 95% CI, 1.3-6.7), acute renal injury (OR, 2.7; 95% CI, 1.3-5.6), and CRP on admission (OR, 1.006; 95% CI, 1.001-1.01). Race, age, and socioeconomic status were not independent predictors. CONCLUSIONS: Acute or pre-existing renal disease, supplemental oxygen upon hospitalization, and admission CRP were independent predictors for the development of severe COVID-19. Every 1-unit increase in CRP increased the risk of severe disease by 0.06%.