Cardiovascular therapy use, modification, and in-hospital death in patients with COVID-19: A cohort study.

AIMS: To assess the associations of exposure and modifications in exposure (i.e., discontinuation on admission, initiation during hospitalization) to eight common cardiovascular therapies with the risk of in-hospital death among inpatients with coronavirus disease 2019 (COVID-19). METHODS: In this observational study including 838 hospitalized unvaccinated adult patients with confirmed COVID-19, the use of cardiovascular therapies was assessed using logistic regression models adjusted for potential confounders. RESULTS: No cardiovascular therapy used before hospitalization was associated with an increased risk of in-hospital death. During hospitalization, the use of diuretics (aOR 2.59 [1.68-3.98]) was associated with an increase, and the use of agents acting on the renin-angiotensin system (aOR 0.39 [0.23-0.64]) and lipid-lowering agents (aOR 0.41 [0.24-0.68]) was associated with a reduction in the odds of in-hospital death. Exposure modifications associated with decreased survival were the discontinuation of an agent acting on the renin-angiotensin system (aOR 4.42 [2.08-9.37]), a ß-blocker (aOR 5.44 [1.16-25.46]), a lipid-modifying agent (aOR 3.26 [1.42-7.50]) or an anticoagulant (aOR 5.85 [1.25-27.27]), as well as the initiation of a diuretic (aOR 5.19 [2.98-9.03]) or an antiarrhythmic (aOR 6.62 [2.07-21.15]). Exposure modification associated with improved survival was the initiation of an agent acting on the renin-angiotensin system (aOR 0.17 [0.03-0.82]). CONCLUSION: In hospitalized and unvaccinated patients with COVID-19, there was no detrimental association of the prehospital use of any regular cardiovascular medication with in-hospital death, and these therapies should be continued as recommended.

Decreased Levels of SARS-CoV-2 Fusion-Inhibitory Antibodies in the Serum of Aged COVID-19 Patients.

BACKGROUND: The SARS-CoV-2 pandemic was particularly devastating for elderly people, and the underlying mechanisms of the disease are still poorly understood. In this study, we investigated fusion inhibitory antibodies (fiAbs) in elderly and younger COVID-19 patients and analyzed predictive factors for their occurrence. METHODS: Data and samples were collected in two cohorts of hospitalized patients. A fusion assay of SARS-CoV-2 spike-expressing cells with ACE2-expressing cells was used to quantify fiAbs in the serum of patients. RESULTS: A total of 108 patients (52 elderly (mean age 85 ± 7 years); 56 young (mean age 52 ± 10 years)) were studied. The concentrations of fiAbs were lower in geriatric patients, as evidenced at high serum dilutions (1/512). The association between fiAbs and anti-Spike Ig levels was weak (correlation coefficient < 0.3), but statistically significant. Variables associated with fusion were the delay between the onset of symptoms and testing (HR = -2.69; p < 0.001), clinical frailty scale (HR = 4.71; p = 0.035), and WHO severity score (HR = -6.01, p = 0.048). CONCLUSIONS: Elderly patients had lower fiAbs levels after COVID-19 infection. The decreased fiAbs levels were associated with frailty.

Prognostic Role of Subcutaneous and Visceral Adiposity in Hospitalized Octogenarians with COVID-19.

BACKGROUND: We investigated the prognostic significance of visceral and subcutaneous adiposity in octogenarians with COVID-19. METHODS: This paper presents a monocentric retrospective study that was conducted in acute geriatric wards with 64 hospitalized patients aged 80+ who had a diagnosis of COVID-19 and who underwent a chest CT scan. A quantification of the subcutaneous, visceral, and total fat areas was performed after segmentations on the first abdominal slice caudal to the deepest pleural recess on a soft-tissue window setting. Logistic regression models were applied to investigate the association with in-hospital mortality and the extent of COVID-19 pneumonia. RESULTS: The patients had a mean age of 86.4 ± 6.0 years, and 46.9% were male, with a mean BMI of 24.1 ± 4.4Kg/m2 and mortality rate of 32.8%. A higher subcutaneous fat area had a protective effect against mortality (OR 0.416; 0.183-0.944 95% CI; p = 0.036), which remained significant after adjustments for age, sex, and BMI (OR 0.231; 0.071-0.751 95% CI; p = 0.015). Inversely, higher abdominal circumference, total fat area, subcutaneous fat area, and visceral fat were associated with worse COVID-19 pneumonia, with the latter presenting the strongest association after adjustments for age, sex, and BMI (OR 2.862; 1.523-5.379 95% CI; p = 0.001). CONCLUSION: Subcutaneous and visceral fat areas measured on chest CT scans were associated with prognosis in octogenarians with COVID-19.

COVID-19 encephalopathy: Clinical and neurobiological features.

Severe acute respiratory coronavirus 2 (SARS-CoV-2) has been associated with neurological complications, including acute encephalopathy. To better understand the neuropathogenesis of this acute encephalopathy, we describe a series of patients with coronavirus disease 2019 (COVID-19) encephalopathy, highlighting its phenomenology and its neurobiological features. On May 10, 2020, 707 patients infected by SARS-CoV-2 were hospitalized at the Geneva University Hospitals; 31 (4.4%) consecutive patients with an acute encephalopathy (64.6 ± 12.1 years; 6.5% female) were included in this series, after exclusion of comorbid neurological conditions, such as stroke or meningitis. The severity of the COVID-19 encephalopathy was divided into severe and mild based on the Richmond Agitation Sedation Scale (RASS): severe cases (n = 14, 45.2%) were defined on a RASS < -3 at worst presentation. The severe form of this so-called COVID-19 encephalopathy presented more often a headache. The severity of the pneumonia was not associated with the severity of the COVID-19 encephalopathy: 28 of 31 (90%) patients did develop an acute respiratory distress syndrome, without any difference between groups (p = .665). Magnetic resonance imaging abnormalities were found in 92.0% (23 of 25 patients) with an intracranial vessel gadolinium enhancement in 85.0% (17 of 20 patients), while an increased cerebrospinal fluid/serum quotient of albumin suggestive of blood-brain barrier disruption was reported in 85.7% (6 of 7 patients). Reverse transcription-polymerase chain reaction for SARS-CoV-2 was negative for all patients in the cerebrospinal fluid. Although different pathophysiological mechanisms may contribute to this acute encephalopathy, our findings suggest the hypothesis of disturbed brain homeostasis and vascular dysfunction consistent with a SARS-CoV-2-induced endotheliitis.

Nutritional risk at hospital admission is associated with prolonged length of hospital stay in old patients with COVID-19.

BACKGROUND & AIMS: To investigate the association of nutritional risk at admission with the length of hospital stay (LOS) and mortality in older patients with COVID-19. METHODS: Retrospective monocentric study in an acute geriatric hospital. Data were collected after an extensive review of medical records and the nutritional risk was assessed according to the Nutritional Risk Screening (NRS). Univariate and multivariate (adjusted for age, sex and comorbidity burden) Cox proportional-hazard and linear regression models were used to investigate the association with the above-mentioned outcomes. RESULTS: Of a total of 245 patients (86.1 ± 6.4 yrs), 50.6% had a severe nutritional risk with an NRS≥5/7 at admission. Lower BMI, cognitive impairment and swallowing disorders were more prevalent in the patients with a higher NRS. A NRS≥5 was not associated with mortality but prolonged by more than 3 days the LOS among the 173 survivors (ß 3.69; 0.71-6.67 95% CI; p = 0.016), with a discharge rate delayed by 1.8 times (HR 0.55; 0.37-0.83 95% CI; p = 0.101). CONCLUSION: Among the survivors of COVID-19 in an acute geriatric hospital, a NRS ≥5 at admission was associated with a longer LOS, but not with mortality.

Delirium in Older Patients With COVID-19: Prevalence, Risk Factors, and Clinical Relevance.

BACKGROUND: Delirium prevalence increases with age and is associated with poor outcomes. We aimed to investigate the prevalence and risk factors for delirium in older patients hospitalized with COVID-19, as well as its association with length of stay and mortality. METHOD: This was a retrospective study of patients aged 65 years and older hospitalized with COVID-19. Data were collected from computerized medical records and all patients had delirium assessment at admission. Risk factors for delirium as well as the outcomes mentioned above were studied by 2-group comparison, logistic regression, and Cox proportional hazard models. RESULTS: Of a total of 235 Caucasian patients, 48 (20.4%) presented with delirium, which was hypoactive in 41.6% of cases, and hyperactive and mixed in 35.4% and 23.0%, respectively. Patients with cognitive impairment had a nearly 4 times higher risk of developing delirium compared to patients who were cognitively normal before SARS-CoV-2 infection (odds ratio 3.7; 95% CI: 1.7-7.9, p = .001). The presence of delirium did not modify the time from symptoms' onset to hospitalization or the length of stay in acute care, but it was associated with an increased risk of dying (hazard ratio 2.1; 95% CI: 1.2-3.7, p = .0113). CONCLUSION: Delirium was a prevalent condition in older people admitted with COVID-19 and preexisting cognitive impairment was its main risk factor. Delirium was associated with higher in-hospital mortality. These results highlight the importance of early recognition of delirium especially when premorbid cognitive comorbidities are present.

Incidence, characteristics and clinical relevance of acute stroke in old patients hospitalized with COVID-19.

BACKGROUND: Stroke in the course of coronavirus disease (COVID-19) has been shown to be associated with more severe respiratory symptoms and higher mortality, but little knowledge in this regard exists on older populations. We aimed to investigate the incidence, characteristics, and prognosis of acute stroke in geriatric patients hospitalized with COVID-19. METHODS: A monocentric cross-sectional retrospective study of 265 older patients hospitalized with COVID-19 on acute geriatric wards. 11/265 presented a stroke episode during hospitalization. Mortality rates and two-group comparisons (stroke vs non-stroke patients) were calculated and significant variables added in logistic regression models to investigate stroke risk factors. RESULTS: Combined ischemic and hemorrhagic stroke incidence was 4.15%. 72.7% of events occurred during acute care. Strokes presented with altered state of consciousness and/or delirium in 81.8%, followed by a focal neurological deficit in 45.5%. Ischemic stroke was more frequently unilateral (88.8%) and localized in the middle cerebral artery territory (55.5%). Smoking and a history of previous stroke increased by more than seven (OR 7.44; 95% CI 1.75-31.64; p = 0.007) and five times (OR 5.19; 95% CI 1.50-17.92; p = 0.009), respectively, the risk of stroke. Each additional point in body mass index (BMI) reduced the risk of stroke by 14% (OR 0.86; 95% CI 0.74-0.98; p = 0.03). In-hospital mortality (32.1% vs. 27.3%; p > 0.999) and institutionalization at discharge (36.4% vs. 21.1%; p = 0.258) were similar between patients with and without stroke. CONCLUSION: Incident stroke complicating COVID-19 in old patients was associated with active smoking, previous history of stroke, and low BMI. Acute stroke did not influence early mortality or institutionalization rate at discharge.

Predictors of In-Hospital Mortality in Older Patients With COVID-19: The COVIDAge Study.

OBJECTIVE: To determine predictors of in-hospital mortality related to COVID-19 in older patients. DESIGN: Retrospective cohort study. SETTING AND PARTICIPANTS: Patients aged 65 years and older hospitalized for a diagnosis of COVID-19. METHODS: Data from hospital admission were collected from the electronic medical records. Logistic regression and Cox proportional hazard models were used to predict mortality, our primary outcome. Variables at hospital admission were categorized according to the following domains: demographics, clinical history, comorbidities, previous treatment, clinical status, vital signs, clinical scales and scores, routine laboratory analysis, and imaging results. RESULTS: Of a total of 235 Caucasian patients, 43% were male, with a mean age of 86 ± 6.5 years. Seventy-six patients (32%) died. Nonsurvivors had a shorter number of days from initial symptoms to hospitalization (P = .007) and the length of stay in acute wards than survivors (P < .001). Similarly, they had a higher prevalence of heart failure (P = .044), peripheral artery disease (P = .009), crackles at clinical status (P < .001), respiratory rate (P = .005), oxygen support needs (P < .001), C-reactive protein (P < .001), bilateral and peripheral infiltrates on chest radiographs (P = .001), and a lower prevalence of headache (P = .009). Furthermore, nonsurvivors were more often frail (P < .001), with worse functional status (P < .001), higher comorbidity burden (P < .001), and delirium at admission (P = .007). A multivariable Cox model showed that male sex (HR 4.00, 95% CI 2.08-7.71, P < .001), increased fraction of inspired oxygen (HR 1.06, 95% CI 1.03-1.09, P < .001), and crackles (HR 2.42, 95% CI 1.15-6.06, P = .019) were the best predictors of mortality, while better functional status was protective (HR 0.98, 95% CI 0.97-0.99, P = .001). CONCLUSIONS AND IMPLICATIONS: In older patients hospitalized for COVID-19, male sex, crackles, a higher fraction of inspired oxygen, and functionality were independent risk factors of mortality. These routine parameters, and not differences in age, should be used to evaluate prognosis in older patients.