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Background: The containment measures linked to the COVID-19 pandemic negatively affected the phyco-physical well-being of the population, especially older adults with neurocognitive disorders (NCDs). This study aims to evaluate whether the frailty of NCD patients was associated with different changes in multiple health domains, in particular in relation to loneliness and social isolation, pre- and post-lockdown. Materials and Methods: Patients were recruited from 10 Italian Centers for Cognitive Disorders and Dementia. Data were collected in the pre-pandemic period (T0), during the pandemic lockdown (T1), and 6–9 months post-lockdown (T2). The UCLA Loneliness Scale-3, Activities of Daily Living (ADL), Instrumental ADL (IADL), Mini-Mental State Examination, and Neuropsychiatric Inventory (NPI) were administered. Caregivers' burden was also tested. Patients were categorized as non-frail, pre-frail, and frail according to the Fatigue, Resistance, Ambulation, Illness, and Loss of Weight scale. Results: The sample included 165 subjects (61.9% women, mean age 79.5 ± 4.9 years). In the whole sample, the ADL, IADL, and NPI scores significantly declined between T0 and T2. There were no significative variations in functional and cognitive domains between the frail groups. During lockdown we recorded higher Depression Anxiety Stress Scales and Perceived Stress Scale scores in frail people. In multivariable logistic regression, frailty was associated with an increase in social isolation, and a loss of IADL. Conclusions: We observed a global deterioration in functional and neuro-psychiatric domains irrespective of the degree of frailty. Frailty was associated with the worsening of social isolation during lockdown. Frail patients and their caregivers seemed to experience more anxiety and stress disorders during SARS-CoV-2 pandemic.

COVID-19 may have a heterogeneous onset, especially in older age. However, whether and how COVID-19 signs and symptoms may present and aggregate together according to sociodemographic and health factors is unclear, as well as their prognostic value. This study included 981 COVID-19 inpatients who participated in the GeroCovid Observational study. Signs/symptoms at disease onset, sociodemographic, health, cognitive status, and mobility were systematically recorded. Clusters of signs/symptoms were identified through agglomerative hierarchical clustering. The associations of single signs/symptoms and symptom clusters with longer hospitalization (≥16 days) and in-hospital mortality were explored through logistic and Cox regressions. The signs/symptoms most reported in our sample (age 78.3 ± 9.39 years; 49.4% women) were fever (62.5%), cough (45.5%), and dyspnea (62.7%). Atypical symptoms were reported by up to one-third of patients, and delirium by 9.1%. Atypical symptoms were more frequent with advancing age and with lower pre-COVID-19 cognitive and mobility levels. Older men more likely reported respiratory symptoms than women. Dyspnea (hazard ratio [HR] = 1.47, 95% confidence interval [CI]: 1.02-2.12), tachypnea (HR = 1.53, 95% CI: 1.14-2.07), low oxygen saturation (HR = 1.95, 95% CI: 1.32-2.88) and delirium (HR = 1.60, 95% CI: 1.13-2.28) were associated with higher in-hospital mortality. Four symptom clusters were identified. Compared with the mild respiratory symptoms cluster, the severe clinical impairment cluster was associated with higher mortality (HR = 2.57, 95% CI: 1.58-4.18). The severe clinical impairment and aspecific symptoms clusters were associated with longer hospitalization (odds ratio [OR] = 2.38, 95% CI: 1.56-3.63, and OR = 1.75, 95% CI: 1.08-2.83, respectively). Multiple health aspects influence COVID-19 clinical presentation. A symptom clusters approach may help predict adverse health outcomes in older patients. In addition to respiratory symptoms

Background: Long-term care facility (LTCF) residents often present asymptomatic or paucisymptomatic features of SARS-CoV-2 infection. We aimed at investigating signs/symptoms, including their clustering on SARS-CoV-2 infection and mortality rates associated with SARS-CoV-2 infection in LTCF residents. Methods: This is a cohort study of 586 aged ≥ 60 year-old residents at risk of or affected with COVID-19 enrolled in the GeroCovid LTCF network. COVID-19 signs/symptom clusters were identified using cluster analysis. Cluster analyses associated with SARS-CoV-2 infection and mortality were evaluated using logistic regression and Cox proportional hazard models. Results: Cluster 1 symptoms (delirium, fever, low-grade fever, diarrhea, anorexia, cough, increased respiratory rate, sudden deterioration in health conditions, dyspnea, oxygen saturation, and weakness) affected 39.6% of residents and were associated with PCR swab positivity (OR = 7.21, 95%CI 4.78–10.80; p < 0.001). Cluster 1 symptoms were present in deceased COVID-19 residents. Cluster 2 (increased blood pressure, sphincter incontinence) and cluster 3 (new-onset cognitive impairment) affected 20% and 19.8% of residents, respectively. Cluster 3 symptoms were associated with increased mortality (HR = 5.41, 95%CI 1.56–18.8; p = 0.008), while those of Cluster 2 were not associated with mortality (HR = 0.82, 95%CI 0.26–2.56; p = 730). Conclusions: Our study highlights that delirium, fever, and low-grade fever, alone or in clusters should be considered in identifying and predicting the prognosis of SARS-CoV-2 infection in older LTCF patients.

Background: In older and multimorbid patients, chronic conditions may affect the prognostic validity of computed tomography (CT) findings in COVID-19. This study aims at assessing to which extent CT findings have prognostic implications in COVID-19 older patients. Methods: Hospitalized COVID-19 patients aged 60 years or more enrolled in the multicenter, observational and longitudinal GeroCovid study who underwent chest CT were included. Patients were stratified by tertiles of age and pneumonia severity to compare CT findings. Hierarchical clustering based on CT findings was performed to identify CT-related classificatory constructs, if any. The hazard ratio (HR) of mortality was calculated for individual CT findings and for clusters, after adjusting for potential confounders. Results: 380 hospitalized COVID-19 patients, with a mean age of 78 (SD:9) years, underwent chest CT scan. Ground glass opacity (GGO), consolidation, and pleural effusion were the three most common CT findings, with GGO prevalence decreasing from younger to older patients and pleural effusion increasing. More severe the pneumonia more prevalent were GGO, consolidation and pleural effusion. HR of mortality was 1.94 (95%CI 1.24–3.06) for pleural effusion and 13 (95%CI 6.41–27) for cluster with a low prevalence of GGO and a high prevalence of pleural effusion (“LH”), respectively. Out of the three CT based clusters, “LH” was the only independent predictor in the multivariable model. Conclusions: Pleural effusion qualifies as a distinctive prognostic marker in older COVID-19 patients. Research is needed to verify whether pleural effusion reflects COVID-19 severity or a coexisting chronic condition making the patient at special risk of death. Trial registration: ClinicalTrials.gov: NCT04379440

Objectives: The GeroCovid Study is a multi-setting, multinational, and multi-scope registry that includes the GeroCovid home and outpatients' care cohort. The present study aims to evaluate whether outpatient and home care services with remote monitoring and consultation could mitigate the impact of the COVID-19 pandemic on mental and affective status, perceived well-being, and personal capabilities of outpatients and home care patients with cognitive disorders. Methods: Prospectively recorded patients in an electronic web registry provided by BlueCompanion Ltd. Up to October 31, 2020, the sample included 90 patients receiving regular care from the Center for Cognitive Disorders and Dementia in Catanzaro Lido, Italy. It was made of 52 ambulatory outpatients and 38 home care patients, mean age 83.3 +/- 7.54 years. Participants underwent a multidimensional assessment at baseline (T0) and after 90 days (T1). For each patient, we administered the Mini-Mental State Examination (MMSE) for cognitive functions, the Activities of Daily Living (ADL) and Instrumental ADL (IADL) scales for functional capabilities, the Cumulative Illness Rating Scale (CIRS) for comorbidities and their impact on patients' health, the 5-items Geriatric Depression Scale (GDS) for mood, and the Euro Quality of Life (EuroQoL) for perceived quality of life. Contacts with both ambulatory and home care patients were managed in person or via telephone, preferably through video calls (WhatsApp or FaceTime). Results: Contacts with patients were kept at T0 through telephone. At T1, visits were made in person for over 95% out of the cases. The ADL, IADL, CIRS, GDS, MMSE, and EuroQoL changed slightly between T0 and T1. Most of the patients were clinically stable over time on the majority of the scales explored, but behavioral changes were found in 24.4% of patients and anxiety and insomnia in 17.7% of patients. Conclusion: Our study suggests that contacts through telephone and video consultations are likely a

Introduction. Atrial fibrillation (AF), the most frequent arrhythmia of older patients, associates with serious thrombo-embolic complications and high mortality. COVID-19 severely affects aged subjects, determining an important prothrombotic status. Aim of this study was to evaluate mortality-related factors in older AF patients with COVID-19. Methods. Between March and June 2020, we enrolled >=60 years in-hospital COVID-19 patients (N=806) in GeroCovid, a multicenter observational study promoted by the Italian Society of Gerontology and Geriatric Medicine. Results. The prevalence of AF was 21.8%. In-hospital mortality was higher in the AF group (36.9 vs. 27.5%, p=0.015). At admission, 51.7%, 10.2% and 38.1% of AF cases were taking, respectively, oral anticoagulants (OACs), antiplatelet agents and no antithrombotic therapy. During hospitalization, 51% patients switched to low-molecular weight heparins. AF patients who survived were younger (81±8 vs. 84±7 years; p=0.002) and had a lower CHA2DS2-VASc score (3.9±1.6 vs. 4.4±1.3; p=0.02) than those who died. OACs use before (63.1% vs. 32.3%; p<0.001) and during hospitalization (34.0% vs. 12.7%; p=0.002) was higher among survivors. At multivariable analysis, lower age, higher self-sufficiency, less severe initial COVID-19 presentation, and the use of Vitamin K antagonists (OR=0.16, 95%CI: 0.03-0.84) or DOACs (OR=0.22, 95%CI: 0.08-0.56) at admission, or the persistence of OAC during hospitalization (OR=0.05, 95%CI: 0.01-0.24), were associated with a lower chance of in-hospital death. Conclusions. AF is a prevalent and severe condition in older COVID-19 patients. Advanced age, dependency and relevant clinical manifestations of disease characterized a worse prognosis. Pre-admission and in-hospital anticoagulant therapy were positively associated with survival.