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1.
J Pain Symptom Manage ; 64(4): 359-369, 2022 10.
Article in English | MEDLINE | ID: covidwho-1907350

ABSTRACT

CONTEXT: The COVID-19 pandemic has highlighted variability in intensity of care. We aimed to characterize intensity of care among hospitalized patients with COVID-19. OBJECTIVES: Examine the prevalence and predictors of admission code status, palliative care consultation, comfort-measures-only orders, and cardiopulmonary resuscitation (CPR) among patients hospitalized with COVID-19. METHODS: This cross-sectional study examined data from an international registry of hospitalized patients with COVID-19. A proportional odds model evaluated predictors of more aggressive code status (i.e., Full Code) vs. less (i.e., Do Not Resuscitate, DNR). Among decedents, logistic regression was used to identify predictors of palliative care consultation, comfort measures only, and CPR at time of death. RESULTS: We included 29,923 patients across 179 sites. Among those with admission code status documented, Full Code was selected by 90% (n = 15,273). Adjusting for site, Full Code was more likely for patients who were of Black or Asian race (ORs 1.82, 95% CIs 1.5-2.19; 1.78, 1.15-3.09 respectively, relative to White race), Hispanic ethnicity (OR 1.89, CI 1.35-2.32), and male sex (OR 1.16, CI 1.0-1.33). Of the 4951 decedents, 29% received palliative care consultation, 59% transitioned to comfort measures only, and 29% received CPR, with non-White racial and ethnic groups less likely to receive comfort measures only and more likely to receive CPR. CONCLUSION: In this international cohort of patients with COVID-19, Full Code was the initial code status in the majority, and more likely among patients who were Black or Asian race, Hispanic ethnicity or male. These results provide direction for future studies to improve these disparities in care.


Subject(s)
COVID-19 , Terminal Care , COVID-19/therapy , Cross-Sectional Studies , Humans , Male , Pandemics , Resuscitation Orders , Retrospective Studies
2.
Am J Crit Care ; 30(4): 320-324, 2021 07 01.
Article in English | MEDLINE | ID: covidwho-1207828

ABSTRACT

BACKGROUND: The COVID-19 pandemic created pressure to delay inpatient elective surgery to increase US health care capacity. This study examined the extent to which common inpatient elective operations consume acute care resources. METHODS: This cross-sectional study used the Premier Healthcare Database to examine the distribution of inpatient elective operations in the United States from the fourth quarter of 2015 through the second quarter of 2018. Primary outcomes were measures of acute care use after 4 common elective operations: joint replacement, spinal fusion, bariatric surgery, and coronary artery bypass grafting. A framework for matching changing demand with changes in supply was created by overlaying acute care data with publicly available outbreak capacity data. RESULTS: Elective coronary artery bypass grafting (n = 117 423) had the highest acute care use: 92.8% of patients used intensive care unit beds, 89.1% required postoperative mechanical ventilation, 41.0% required red blood cell transfusions, and 13.3% were readmitted within 90 days of surgery. Acute care use was also substantial after spinal fusion (n = 203 789): 8.3% of patients used intensive care unit beds, 2.2% required postoperative mechanical ventilation, 9.2% required red blood cell transfusions, and 9.3% were readmitted within 90 days of surgery. An example of a framework for matching hospital demand with elective surgery supply is provided. CONCLUSIONS: Acute care needs after elective surgery in the United States are consistent and predictable. When these data are overlaid with national hospital capacity models, rational decisions regarding matching supply to demand can be achieved to meet changing needs.


Subject(s)
COVID-19/epidemiology , Elective Surgical Procedures/statistics & numerical data , Health Resources/statistics & numerical data , Postoperative Care/statistics & numerical data , Adult , Aged , Cross-Sectional Studies , Female , Health Services Needs and Demand , Humans , Male , Middle Aged , Pandemics , SARS-CoV-2 , United States/epidemiology
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