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Browsing by Author "Albert, Lauren"
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Item Clinical Courses and Characteristics of Residents During a SARS-CoV-2 Outbreak at a Central Indiana Skilled Nursing Facility(Indiana University, 2020-12) Albert, Lauren; Lieb, Kristi; Mack, Laramie; Unroe, Kathleen; Medicine, School of MedicineBackground/Objective: Older adults such as skilled nursing facility residents have increased risk of serious SARS-CoV-2 infection and comprise a large proportion of the COVID-19 pandemic’s deceased—the US Centers for Medicare & Medicaid Services report 232,831 cases and 38,518 resident deaths to date. Recent case reports reveal, as in other diseases, older adults may experience atypical symptomology, complicating identification of ill residents and efforts to slow transmission. While a few facility outbreaks have been characterized epidemiologically, little research exists regarding clinical timelines and trajectories which residents experience during COVID-19 illness. Methods: From May 9, 2020-June 1, 2020, daily notes on each COVID-19 positive resident’s status (n = 69) were taken by the medical director of a central Indiana nursing facility. Combined with a retrospective resident chart review of this same period, these notes were examined for COVID-19 infection symptoms and illness timelines to descriptively categorize a number of common illness trajectories and symptoms seen in residents with SARS-CoV-2 infection. Results: Residents fit four descriptive clinical timelines: concurrent symptom load with quick death (Avg 5.6 days) (n = 5), accumulating symptom load with gradual decline (Avg. 13.9 days) (n = 9), prolonged active symptom load with periods of stabilization and symptom reoccurrence (n = 42), and asymptomatic or atypical symptom load (n = 12). Most common symptoms were fever, hypoxia, anorexia, and fatigue/malaise. Of the 14 residents who died (20.3% of infected), 8 died in the facility and 6 died in the hospital. Conclusion and Implications: This retrospective case study adds to literature describing the presentation and symptomology of SARS-CoV-2 infection in residents of skilled nursing facilities and aids efforts to evaluate resident presentation, prognosis, and disease course. Robust descriptions of expected clinical courses may support realistic expectations of disease progression for residents and their family members experiencing future outbreaks.Item COVID‐19 disease trajectories among nursing home residents(Wiley, 2021-09) Carnahan, Jennifer L.; Lieb, Kristi M.; Albert, Lauren; Wagle, Kamal; Kaehr, Ellen; Unroe, Kathleen T.; Medicine, School of MedicineIntroduction Older adults are at greater risk of both infection with and mortality from COVID‐19. Many U.S. nursing homes have been devastated by the COVID‐19 pandemic, yet little has been described regarding the typical disease course in this population. The objective of this study is to describe and identify patterns in the disease course of nursing home residents infected with COVID‐19. Setting and Methods This is a case series of 74 residents with COVID‐19 infection in a nursing home in central Indiana between March 28 and June 17, 2020. Data were extracted from the electronic medical record and from nursing home medical director tracking notes from the time of the index infection through August 31, 2020. The clinical authorship team reviewed the data to identify patterns in the disease course of the residents. Results The most common symptoms were fever, hypoxia, anorexia, and fatigue/malaise. The duration of symptoms was extended, with an average of over 3 weeks. Of those infected 25 died; 23 of the deaths were considered related to COVID‐19 infection. A subset of residents with COVID‐19 infection experienced a rapidly progressive, fatal course. Discussion/Conclusions Nursing home residents infected with COVID‐19 from the facility we studied experienced a prolonged disease course regardless of the severity of their symptoms, with implications for the resources needed to care for and support of these residents during active infection and post‐disease. Future studies should combine data from nursing home residents across the country to identify the risk factors for disease trajectories identified in this case series.