BACKGROUND: Little is known about the association between acute mental changes and adverse outcomes in hospitalized adults with COVID-19. OBJECTIVES: To investigate the occurrence of delirium in hospitalized patients with COVID-19 and explore its association with adverse outcomes. DESIGN: Longitudinal observational study. SETTING: Tertiary university hospital dedicated to the care of severe cases of COVID-19 in São Paulo, Brazil. PARTICIPANTS: A total of 707 patients, aged 50 years or older, consecutively admitted to the hospital between March and May 2020. MEASUREMENTS: We completed detailed reviews of electronic medical records to collect our data. We identified delirium occurrence using the Chart-Based Delirium Identification Instrument (CHART-DEL). Trained physicians with a background in geriatric medicine completed all CHART-DEL assessments. We complemented our baseline clinical information using telephone interviews with participants or their proxy. Our outcomes of interest were in-hospital death, length of stay, admission to intensive care, and ventilator utilization. We adjusted all multivariable analyses for age, sex, clinical history, vital signs, and relevant laboratory biomarkers (lymphocyte count, C-reactive protein, glomerular filtration rate, D-dimer, and albumin). RESULTS: Overall, we identified delirium in 234 participants (33%). On admission, 86 (12%) were delirious. We observed 273 deaths (39%) in our sample, and in-hospital mortality reached 55% in patients who experienced delirium. Delirium was associated with in-hospital death, with an adjusted odds ratio of 1.75 (95% confidence interval = 1.15-2.66); the association held both in middle-aged and older adults. Delirium was also associated with increased length of stay, admission to intensive care, and ventilator utilization. CONCLUSION: Delirium was independently associated with in-hospital death in adults aged 50 years and older with COVID-19. Despite the difficulties for patient care during the pandemic, clinicians should routinely monitor delirium when assessing severity and prognosis of COVID-19 patients.

Background: Frailty screening using the Clinical Frailty Scale (CFS) has been proposed to guide resource allocation in acute care settings during the pandemic. However, the association between frailty and coronavirus disease 2019 (COVID-19) prognosis remains unclear.Objectives: To investigate the association between frailty and mortality over 6 months in middle-aged and older patients hospitalized with COVID-19 and the association between acute morbidity severity and mortality across frailty strata.Design: Observational cohort study. Setting: Large academic medical center in Brazil.Participants: A total of 1830 patients aged ≥50 years hospitalized with COVID-19 (March-July 2020).Measurements: We screened baseline frailty using the CFS (1-9) and classified patients as fit to managing well (1-3), vulnerable (4), mildly (5), moderately (6), or severely frail to terminally ill (7)(8)(9). We also computed a frailty index (0-1; frail >0.25), a well-known frailty measure. We used Cox A complete list of investigators in the COVID HCFMUSP Study Group is provided in Data S1.

Background Although frailty has been associated with atypical manifestations of infections, little is known about COVID-19 presentations in hospitalized frail patients. We aimed to investigate the association between age, frailty, and clinical characteristics of COVID-19 in hospitalized middle-aged and older adults. Methods Longitudinal observational study comprising 711 patients aged ≥50 years consecutively admitted to a university hospital dedicated to COVID-19 severe cases, between March and May 2020. We reviewed electronic medical records to collect data on demographics, comorbidities, COVID-19 signs/symptoms, and laboratory findings on admission. We defined frailty using the Clinical Frailty Scale (CFS=1-9; frail ≥5). We also documented in-hospital mortality. We used logistic regressions to explore associations between age, frailty, and COVID-19 signs/symptoms; and between typical symptoms (fever, cough, dyspnea) and mortality. Results Participants had a mean age of 66±11 years, and 43% were female. Overall, 25% were frail, and 37% died. The most common COVID-19 presentations were dyspnea (79%), cough (74%), and fever (62%), but patients aged ≥65 years were less likely to have a co-occurrence of typical symptoms, both in the absence (OR=0.56; 95%CI=0.39-0.79) and in the presence of frailty (OR=0.52; 95%CI=0.34-0.81). In contrast, older age and frailty were associated with unspecific presentations, including functional decline, acute mental change, and hypotension. After adjusting for age, sex, and frailty, reporting fever was associated with lower odds of mortality (OR=0.70; 95%CI=0.50-0.97). Conclusions Atypical COVID-19 presentations are common in frail and older hospitalized patients. Providers should be aware of unspecific disease manifestations during the management and follow-up of this population.

Background Although COVID-19 disproportionally affects older adults, the use of conventional triage tools in acute care settings ignores the key aspects of vulnerability. Objective This study aimed to determine the usefulness of adding a rapid vulnerability screening to an illness acuity tool to predict mortality in hospitalised COVID-19 patients. Design Cohort study. Setting Large university hospital dedicated to providing COVID-19 care. Participants Participants included are 1,428 consecutive inpatients aged ≥50 years. Methods Vulnerability was assessed using the modified version of PRO-AGE score (0–7; higher = worse), a validated and easy-to-administer tool that rates physical impairment, recent hospitalisation, acute mental change, weight loss, and fatigue. The baseline covariates included age, sex, Charlson comorbidity score, and the National Early Warning Score (NEWS), a well-known illness acuity tool. Our outcome was time-to-death within 60 days of admission. Results The patients had a median age of 66 years, and 58% were male. The incidence of 60-day mortality ranged from 22% to 69% across the quartiles of modified PRO-AGE. In adjusted analysis, compared with modified PRO-AGE scores 0–1 (“lowest quartile”), the hazard ratios (95% CI) for 60-day mortality for modified PRO-AGE scores 2–3, 4, and 5–7, were 1.4 (1.1–1.9), 2.0 (1.5–2.7), and 2.8 (2.1–3.8), respectively. The modified PRO-AGE predicted different mortality risk levels within each stratum of NEWS and improved the discrimination of mortality prediction models. Conclusions Adding vulnerability to illness acuity improved accuracy of predicting mortality in hospitalised COVID-19 patients. Combining tools such as PRO-AGE and NEWS may help stratify the risk of mortality from COVID-19.

Objectives to investigate the association between delirium occurrence in acutely ill older adults and incident dementia after hospital discharge. Methods retrospective cohort study examining acutely ill older adults aged +60 years and consecutively admitted to the geriatric ward of a tertiary university hospital from 2010 to 2016. Inclusion criteria were absence of baseline cognitive decline on admission and documented clinical follow-up of +12 months after discharge. Admission data were collected from our local database, including results from a standardized comprehensive geriatric assessment completed for every patient. Pre-existing cognitive decline was identified based on clinical history, CDR and IQCODE-16. Delirium was diagnosed using short-CAM criteria, while post-discharge dementia after 12 months was identified based on medical records’ review. We used competing-risk proportional-hazard models to explore the association between delirium and post-discharge dementia. Results we included 309 patients. Mean age was 78 years, and 186 (60%) were women. Delirium was detected in 66 (21%) cases. After a median follow-up of 24 months, 21 (32%) patients who had experienced delirium progressed with dementia, while only 38 (16%) of those without delirium had the same outcome (P = 0.003). After adjusting for possible confounders, delirium was independently associated with post-discharge dementia with a sub-hazard ratio of 1.94 (95%CI = 1.10–3.44; P = 0.022). Conclusion one in three acutely ill older adults who experienced delirium in the hospital developed post-discharge dementia during follow-up. Further understanding of delirium as an independent and potentially preventable risk factor for cognitive decline emphasizes the importance of systematic initiatives to fight it.