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Increased rates of anxiety and depression have been reported for older adults during the COVID-19 pandemic. However, little is known regarding the onset of mental health morbidity during the acute phase of the disease and the role of age as potential independent risk factor for psychiatric symptoms. The cross-sectional association between older age and psychiatric symptoms has been estimated in a sample of 130 patients hospitalized for COVID-19 during the first and second wave of the pandemic. Compared to younger patients, those who were 70 years of age or older resulted at a higher risk of psychiatric symptoms measured on the Brief Psychiatric Symptoms Rating Scale (BPRS) (adjusted (adj.) odds ratio (OR) 2.36, 95% confidence interval (CI) 1.05-5.30) and delirium (adj. OR 5.24, 95% CI 1.63-16.8)). No association was found between older age and depressive symptoms or anxiety. Age was associated with psychiatric symptoms independently of gender, marital status, history of psychiatric illness, severity of disease and cardiovascular morbidity. Older adults appear at high risk of developing psychiatric symptoms related to COVID-19 disease during hospital stay. Multidisciplinary preventive and therapeutic interventions should be implemented to reduce the risk of psychiatric morbidity and related adverse health care outcomes among older hospital inpatients with COVID-19.

Introduction: In ageing societies, the number of older adults with complex chronic conditions (CCCs) is rapidly increasing. Care for older persons with CCCs is challenging, due to interactions between multiple conditions and their treatments. In home care and nursing homes, where most older persons with CCCs receive care, professionals often lack appropriate decision support suitable and sufficient to address the medical and functional complexity of persons with CCCs. This EU-funded project aims to develop decision support systems using high-quality, internationally standardised, routine care data to support better prognostication of health trajectories and treatment impact among older persons with CCCs. Methods and analysis: Real-world data from older persons aged ≥60 years in home care and nursing homes, based on routinely performed comprehensive geriatric assessments using interRAI systems collected in the past 20 years, will be linked with administrative repositories on mortality and care use. These include potentially up to 51 million care recipients from eight countries: Italy, the Netherlands, Finland, Belgium, Canada, USA, Hong Kong and New Zealand. Prognostic algorithms will be developed and validated to better predict various health outcomes. In addition, the modifying impact of pharmacological and non-pharmacological interventions will be examined. A variety of analytical methods will be used, including techniques from the field of artificial intelligence such as machine learning. Based on the results, decision support tools will be developed and pilot tested among health professionals working in home care and nursing homes. Ethics and dissemination: The study was approved by authorised medical ethical committees in each of the participating countries, and will comply with both local and EU legislation. Study findings will be shared with relevant stakeholders, including publications in peer-reviewed journals and presentations at national and international

BackgroundFrailty, disability, and polypharmacy are prevalent in nursing home (NH) residents, often co-occurring with multimorbidity. There may be a complex interplay among them in terms of outcomes such as mortality. Aims of the study were to (i) assess whether nursing home residents with polypharmacy (5-9 medications) or hyperpolypharmacy (>= 10 drugs), have an increased risk of death and (ii) whether any association is modified by the co-presence of frailty or disability. MethodsCohort study with longitudinal mortality data including 4,023 residents from 50 European and 7 Israeli NH facilities (mean age = 83.6 years, 73.2% female) in The Services and Health for Elderly in Long Term care (SHELTER) cohort study. Participants were evaluated with the interRAI-LongTerm Care assessment tool. Frailty was evaluated with the FRAIL-NH scale. Hazard ratio (HR) of death over 12 months was assessed with stratified Cox proportional hazards models adjusted for demographics, facilities, and cognitive status. Results1,042 (25.9%) participants were not on polypharmacy, 49.8% (n = 2,002) were on polypharmacy, and 24.3% (n = 979) on hyperpolypharmacy. Frailty and disability mostly increased risk of death in the study population (frailty: HR = 1.85, 95%CI 1.49-2.28; disability: HR = 2.10, 95%CI 1.86-2.47). Among non-frail participants, multimorbidity (HR = 1.34, 95%CI = 1.01-1.82) and hyperpolypharmacy (HR = 1.61, 95%CI = 1.09-2.40) were associated with higher risk of death. Among frail participants, no other factors were associated with mortality. Polypharmacy and multimorbidity were not associated with mortality after stratification for disability. ConclusionsFrailty and disability are the strongest predictors of death in NH residents. Multimorbidity and hyperpolypharmacy increase mortality only in people without frailty. These findings may be relevant to identify patients who could benefit from tailored deprescription.

IntroductionDementia is common in nursing homes (NH) residents. Defining dementia comorbidities is instrumental to identify groups of persons with dementia that differ in terms of health trajectories and resources consumption. We performed a cross-sectional study to identify comorbidity patterns and their associated clinical, behavioral, and functional phenotypes in institutionalized older adults with dementia. MethodsWe analyzed data on 2563 Italian NH residents with dementia, collected between January 2014 and December 2018 using the multidimensional assessment instrument interRAI Long-Term Care Facility (LTCF). A standard principal component procedure was used to identify comorbidity patterns. Linear regression analyses were used to ascertain correlates of expression of the different patterns. ResultsAmong NH residents with dementia, we identified three different comorbidity patterns: (1) heart diseases, (2) cardiovascular and respiratory diseases and sensory impairments, and (3) psychiatric diseases. Older age significantly related to increased expression of the first two patterns, while younger patients displayed increased expression of the third one. Recent hospital admissions were associated with increased expression of the heart diseases pattern (beta = 0.028; 95% confidence interval [CI] 0.003 to 0.05). Depressive symptoms and delirium episodes increased the expression of the psychiatric diseases pattern (beta = 0.130, 95% CI 0.10 to 0.17, and beta 0.130, CI 0.10 to 0.17, respectively), while showed a lower expression of the heart diseases pattern. DiscussionWe identified different comorbidity patterns within NH residents with dementia that differ in term of clinical and functional profiles. The prompt recognition of health needs associated to a comorbidity pattern may help improve long-term prognosis and quality of life of these individuals. HighlightsDefining dementia comorbidities patterns in institutionalized older adults is key.Institutionalized older

Background Dysphagia is a frequent condition in older nursing home residents (NHRs) which may cause malnutrition and death. Nevertheless, its prevalence is still underestimated and there is still debate about the appropriateness and efficacy of artificial nutrition (AN) in subjects with severe dysphagia. The aim is to assess the prevalence of dysphagia in European and Israeli NHRs, its association with mortality, and the relationship of different nutritional interventions, i.e. texture modified diets and AN-with weight loss and mortality. Methods A prospective observational study of 3451 European and Israeli NHRs older than 65 years, participating in the SHELTER study from 2009 to 2011, at baseline and after 12 months. All residents underwent a standardized comprehensive evaluation using the interRAI Long Term Care Facility (LTCF). Cognitive status was assessed using the Cognitive Performance Scale (CPS), functional status using Activities of Daily Living (ADL) Hierarchy scale. Trained staff assessed dysphagia at baseline by clinical observation. Data on weight loss were collected for all participants at baseline and after 12 months. Deaths were registered by NH staff. Results The prevalence of dysphagia was 30.3%. During the one-year follow-up, the mortality rate in subjects with dysphagia was significantly higher compared with that of non-dysphagic subjects (31.3% vs 17.0%,p = 0,001). The multivariate analysis showed that NHRs with dysphagia had 58.0% higher risk of death within 1 year compared with non-dysphagic subjects (OR 1.58, 95% CI, 1.31-1.91). The majority of NHRs with dysphagia were prescribed texture modified diets (90.6%), while AN was used in less than 10% of subjects. No statistically significant difference was found concerning weight loss and mortality after 12 months following the two different nutritional treatments. Conclusions Dysphagia is prevalent among NHRs and it is associated with increased mortality, independent of the nutritional intervent

The current availability of electronic health records represents an excellent research opportunity on multimorbidity, one of the most relevant public health problems nowadays. However, it also poses a methodological challenge due to the current lack of tools to access, harmonize and reuse research datasets. In FAIR4Health, a European Horizon 2020 project, a workflow to implement the FAIR (findability, accessibility, interoperability and reusability) principles on health datasets was developed, as well as two tools aimed at facilitating the transformation of raw datasets into FAIR ones and the preservation of data privacy. As part of this project, we conducted a multicentric retrospective observational study to apply the aforementioned FAIR implementation workflow and tools to five European health datasets for research on multimorbidity. We applied a federated frequent pattern growth association algorithm to identify the most frequent combinations of chronic diseases and their association with mortality risk. We identified several multimorbidity patterns clinically plausible and consistent with the bibliography, some of which were strongly associated with mortality. Our results show the usefulness of the solution developed in FAIR4Health to overcome the difficulties in data management and highlight the importance of implementing a FAIR data policy to accelerate responsible health research.

Background: Cardiovascular disease still represents the leading cause of death worldwide. Management of risk factors remains crucial; despite this, hypercholesterolemia, which is one of the most important modifiable cardiovascular risk factor, is still high prevalent in general population. The aim of this study is to determine the prevalence of dyslipidemia and hypercholesterolemia awareness in a very large population. Methods: More than 65 000 users completed the online, self-administered survey. It was structured like a 'journey' where each stage corresponded to a cardiovascular risk factor: blood pressure, body mass index, cholesterol, diet, physical exercise, smoke and blood sugar. At the end, the user received a final evaluation of his health status. Results: The mean age was 52.5 years (SD 13.9, range 18-98), with 35 402 (53.7%) men. About 56% of all participants believed to have normal cholesterol values, when only 40% of them really showed values <200 mg/dl. Only about 30% of all participants self-predicted to have abnormal cholesterol values whereas we found high cholesterol levels in about 60% of people. Conclusions: Dyslipidemia is very prevalent and half of the people with high cholesterol is not aware of having high values.

Background 1.5-8% of older adults live in nursing homes (NHs), presenting a high prevalence of frailty and polypharmacy. Aims To investigate the association of frailty with polypharmacy and drug prescription patterns in a sample of European Nursing Home (NH) residents. Methods Cross-sectional study based on the data from the Services and Health for Elderly in Long TERm care (SHELTER) study. 4121 NH residents in Europe and Israel. Residents' clinical, cognitive, social, and physical status were evaluated with the InterRAI LTCF tool, which allows comprehensive, standardized evaluation of persons living in NH. Polypharmacy and hyperpolypharmacy were defined as the concurrent use of >= 5 and >= 10 medications. Frailty was defined according to the FRAIL-NH scale. Results Of 4121 participants, 46.6% were frail (mean age 84.6 +/- 9.2 years; 76.4% female). Polypharmacy and hyperpolypharmacy were associated with a lower likelihood of frailty (Odds Ratio = 0.72; 95% CI = 0.59-0.87 and OR = 0.75; 95% CI = 0.60-0.94, respectively). Patterns of drug prescriptions were different between frail and non-frail residents. Symptomatic drugs (laxatives, paracetamol, and opioids) were more frequently prescribed among frail residents, while preventive drugs (bisphosphonates, vitamin D, and acetylsalicylic acid) were more frequently prescribed among non-frail residents. Conclusions Frailty is associated with less polypharmacy and with higher prevalence of symptomatic drugs use among NH residents. Further studies are needed to define appropriateness of drug prescription in frail individuals.

Background Frailty is increasingly reported among older adults with cardiovascular diseases and it has been demonstrated to increase negative health outcomes and mortality. To date, no systematic review of the evidence is available regarding the association between frailty and ischemic heart disease (IHD). We performed a systematic review of literature and a meta-analysis to assess the association between frailty and IHD. Methods We selected all the studies that provided information on the association between frailty and IHD, regardless of the study setting, study design, or definition of IHD and frailty. PubMed, Web of Science and Embase were searched for relevant papers. Studies that adopted the Fried definition for frailty were included in the meta-analyses. For each measure of interest (proportions and estimates of associations), a meta-analysis was performed if at least three studies used the same definition of frailty. Pooled estimates were obtained through random effect models and Mantel-Haenszel weighting. Results Thirty-seven studies were included. Of these, 22 adopted the Fried criteria to define frailty and provided estimates of prevalence and therefore they were included in meta-analyses. The pooled prevalence of IHD in frail individuals was 17% (95% Confidence Interval [95%CI] 11-23%) and the pooled prevalence of frailty in individuals with IHD was 19% (95% CI 15-24%). The prevalence of frailty among IHD patients ranged from 4 to 61%. Insufficient data were found to assess longitudinal association between frailty and IHD. Conclusions Frailty is quite common in older persons with IHD. The identification of frailty among older adults with IHD should be considered relevant to provide individualized strategies of cardiovascular prevention and care. Further research should specifically explore the association between frailty and IHD and investigate the potential common biological ground.

Due to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR principles in health research data, derived from the publicly funded health research initiatives to make them Findable, Accessible, Interoperable, and Reusable (FAIR). To confirm the feasibility of the FAIR4Health solution, we performed two pathfinder case studies to carry out federated machine learning algorithms on FAIRified datasets from five health research organizations. The case studies demonstrated the potential impact of the developed FAIR4Health solution on health outcomes and social care research. Finally, we promoted the FAIRified data to share and reuse in the European Union Health Research community, defining an effective EU-wide strategy for the use of FAIR principles in health research and preparing the ground for a roadmap for health research institutions. This scientific report presents a general overview of the FAIR4Health solution: from the FAIRification workflow design to translate raw data/metadata to FAIR data/metadata in the health research domain to the FAIR4Health demonstrators' performance.

The current availability of electronic health records represents an excellent research opportunity on multimorbidity, one of the most relevant public health problems nowadays. However, it also poses a methodological challenge due to the current lack of tools to access, harmonize and reuse research datasets. In FAIR4Health, a European Horizon 2020 project, a workflow to implement the FAIR (findability, accessibility, interoperability and reusability) principles on health datasets was developed, as well as two tools aimed at facilitating the transformation of raw datasets into FAIR ones and the preservation of data privacy. As part of this project, we conducted a multicentric retrospective observational study to apply the aforementioned FAIR implementation workflow and tools to five European health datasets for research on multimorbidity. We applied a federated frequent pattern growth association algorithm to identify the most frequent combinations of chronic diseases and their association with mortality risk. We identified several multimorbidity patterns clinically plausible and consistent with the bibliography, some of which were strongly associated with mortality. Our results show the usefulness of the solution developed in FAIR4Health to overcome the difficulties in data management and highlight the importance of implementing a FAIR data policy to accelerate responsible health research.