Covid-19 Mortality in an Acute Care Hospital: Association of Patient Factors With Decision to Forego the Intensive Care Unit.

BACKGROUND: Public awareness of the large mortality toll of COVID-19 particularly among elderly and frail persons is high. This public awareness represents an enhanced opportunity for early and urgent goals-of-care discussions to reduce medically ineffective care. OBJECTIVE: To assess the end-of-life experiences of hospitalized patients dying of COVID-19 with respect to identifying the clinical factors associated with utilization or non-utilization of the ICU. METHODS: Retrospective cohort study of hospital outcomes using electronic medical records and individual chart review from March 15, 2020 to October 15, 2020 of every patient with a COVID-19 diagnosis who died or was admitted to hospice while hospitalized. Logistic regression multivariate analysis was used to identify the clinical and demographic factors associated with non-utilization of the ICU. RESULTS: 133/749 (18%) of hospitalized COVID-19 patients died or were admitted to hospice as a result of COVID-19. Of the 133, 66 (49.6%) had no ICU utilization. In multivariate analysis, the significant patient factors associated with non-ICU utilization were increasing age, normal body mass index, and the presence of an advanced directive calling for limited life sustaining therapies. Race and residence at time of admission (home vs. facility) were significant only in the unadjusted analyses but not in adjusted. Gender was not significant in either form of analyses. CONCLUSION: Goals of care discussions performed by an augmented palliative care team and other bedside clinicians had renewed urgency during COVID-19. Large percentages of patients and surrogates, perhaps motivated by public awareness of poor outcomes, opted not to utilize the ICU.

Risk factors for severe illness in hospitalized Covid-19 patients at a regional hospital.

BACKGROUND: The Covid-19 pandemic threatens to overwhelm scarce clinical resources. Risk factors for severe illness must be identified to make efficient resource allocations. OBJECTIVE: To evaluate risk factors for severe illness. DESIGN: Retrospective, observational case series. SETTING: Single-institution. PARTICIPANTS: First 117 consecutive patients hospitalized for Covid-19 from March 1 to April 12, 2020. EXPOSURE: None. MAIN OUTCOMES AND MEASURES: Intensive care unit admission or death. RESULTS: In-hospital mortality was 24.8% and average total length of stay was 11.82 days (95% CI: 10.01 to 13.63 days). 30.8% of patients required intensive care unit admission and 29.1% required mechanical ventilation. Multivariate regression identified the amount of supplemental oxygen required at admission (OR: 1.208, 95% CI: 1.011-1.443, p = .037), sputum production (OR: 6.734, 95% CI: 1.630-27.812, p = .008), insulin dependent diabetes mellitus (OR: 11.873, 95% CI: 2.218-63.555, p = .004) and chronic kidney disease (OR: 4.793, 95% CI: 1.528-15.037, p = .007) as significant risk factors for intensive care unit admission or death. Of the 48 patients who were admitted to the intensive care unit or died, this occurred within 3 days of arrival in 42%, within 6 days in 71%, and within 9 days in 88% of patients. CONCLUSIONS: At our regional medical center, patients with Covid-19 had an average length of stay just under 12 days, required ICU care in 31% of cases, and had a 25% mortality rate. Patients with increased sputum production and higher supplemental oxygen requirements at admission, and insulin dependent diabetes or chronic kidney disease may be at increased risk for severe illness. A model for predicting intensive care unit admission or death with excellent discrimination was created that may aid in treatment decisions and resource allocation. Early identification of patients at increased risk for severe illness may lead to improved outcomes in patients hospitalized with Covid-19.