Impact of COVID-19-Related Lockdown on Psychosocial, Cognitive, and Functional Well-Being in Adults With Down Syndrome

People with Down Syndrome (DS) have a high prevalence of physical and psychiatric comorbidities and experience early-onset dementia. With the outbreak of CoVID-19 pandemic, strict social isolation measures have been necessary to prevent the spreading of the disease. Effects of this lockdown period on behavior, mood and cognition in people with DS have not been assessed so far. In the present clinical study, we investigated the impact of CoVID-19-related lockdown on psychosocial, cognitive and functional well-being in a sample population of 46 adults with DS. The interRAI Intellectual Disability standardized assessment instrument, which includes measures of social withdrawal, functional impairment, aggressive behavior and depressive symptoms, was used to perform a three time-point evaluation (two pre-lockdown and one post-lockdown) in 37 subjects of the study sample, and a two time point evaluation (one pre- and one post-lockdown) in 9 subjects. Two mixed linear regression models - one before and one after the lockdown - have been fitted for each scale in order to investigate the change in the time-dependent variation of the scores. In the pre-lockdown period, significant worsening over time (i.e., per year) was found for the Depression Rating Scale score (beta = 0.55; 95% CI 0.34; 0.76). In the post-lockdown period, a significant worsening in social withdrawal (beta = 3.05, 95% CI 0.39; 5.70), instrumental activities of daily living (beta = 1.13, 95% CI 0.08; 2.18) and depression rating (beta = 1.65, 95% CI 0.33; 2.97) scales scores was observed, as was a significant improvement in aggressive behavior (beta = -1.40, 95% CI -2.69; -0.10). Despite the undoubtful importance of the lockdown in order to reduce the spreading of the CoVID-19 pandemic, the related social isolation measures suggest an exacerbation of depressive symptoms and a worsening in functional status in a sample of adults with DS. At the opposite, aggressive behavior was reduced after the lockdown period. This finding could be related to the increase of negative and depressive symptoms in the study population. Studies with longer follow-up period are needed to assess persistence of these effects

Relationship between frailty and drug use among nursing homes residents: results from the SHELTER study

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

Frailty modifies the effect of polypharmacy and multimorbidity on the risk of death among nursing home residents: Results from the SHELTER study

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

Association of Polypharmacy With 1-Year Trajectories of Cognitive and Physical Function in Nursing Home Residents: Results From a Multicenter European Study

Objectives: To test the association between polypharmacy and 1-year change in physical and cognitive function among nursing home (NH) residents. Design: Longitudinal multicenter cohort study based on data from the Services and Health for Elderly in Long TERm care (SHELTER) study. Setting: NH in Europe (n = 50) and Israel (n = 7). Participants: 3234 NH older residents. Measurements: Participants were assessed through the interRAI long-term care facility instrument. Polypharmacy was defined as the concurrent use of 5 to 9 drugs and excessive polypharmacy as the use of 6510 drugs. Cognitive function was assessed through the Cognitive Performance Scale (CPS). Functional status was evaluated through the Activities of Daily Living (ADL) Hierarchy scale. The change in CPS and ADL score, based on repeated assessments, was the outcome, and their association with polypharmacy was modeled via linear mixed models. The interaction between polypharmacy and time was reported [beta and 95% confidence intervals (95% CIs)]. Results: A total of 1630 (50%) residents presented with polypharmacy and 781 (24%) excessive polypharmacy. After adjusting for potential confounders, residents on polypharmacy (beta 0.10, 95% CI 0.01-0.20) and those on excessive polypharmacy (beta 0.13, 95% CI 0.01-0.24) had a significantly higher decline in CPS score compared to those using <5 drugs. No statistically (P >.05) significant change according to polypharmacy status was shown for ADL score. Conclusions: Polypharmacy is highly prevalent among older NH residents and, over 1 year, it is associated with worsening cognitive function but not functional decline

Association between frailty and ischemic heart disease: a systematic review and meta-analysis

Abstract 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

Association between frailty and ischemic heart disease: a systematic review and meta-analysis

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

Bone mineral density in adults with Down syndrome

Summary: This study analyzed data of bone mineral density (BMD) from a large cohort of adults with Down syndrome (DS). BMD was found to decrease with age more rapidly in these subjects than in the general population, exposing adults with DS to an increased risk of osteoporosis and bone fracture. Introduction: Down syndrome (DS) in adulthood presents with a high prevalence of osteoporosis. However, in DS, bone mineral density (BMD) can be underestimated due to short stature. Furthermore, the rate of age-related decline in BMD and its association with gender in DS has been rarely evaluated or compared with the general population. The present study is aimed at assessing the variation of BMD with age and gender in a sample of adults with DS and to compare these data with those of the general population, after adjusting for anthropometric differences. Methods: Adults with DS, aged 18 or older, were assessed dual-energy-X-ray-absorptiometry (DXA) at the femoral neck and at the lumbar spine. They were compared with the general population enrolled in the National Health and Nutrition Examination Survey (NHANES) 2009–2010 dataset. Bone mineral apparent density (BMAD) was calculated for each individual. Results: DXA was evaluated in 234 subjects with DS (mean age 36.93 ± 11.83 years, ranging from 20 to 69 years; 50.4% females). In the lumbar spine both mean BMD (DS 0.880 ± 0.141 vs. NHANES 1.062 ± 0.167, p < 0.001) and BMAD (DS 0.138 ± 0.020 vs. NHANES 0.152 ± 0.020, p < 0.001) were significantly lower in the DS sample than in the NAHNES cohort. The same trend was observed at the femoral neck in both BMD (DS 0.658 ± 0.128 vs. NHANES 0.835 ± 0.137, p < 0.001) and BMAD (DS 0.151 ± 0.030 vs. NHANES 0.159 ± 0.028, p<0.001). Age was associated with lower femoral neck BMAD in both samples; importantly, this association was significantly stronger in the DS sample. In the lumbar spine region, no significant association between BMAD and age could be observed in both samples. Conclusions: Adults with DS have lower bone mineral density compared to the general population and they experience a steeper decline with age. Early screening programs are needed in DS population

Microbiologically confirmed infections and antibiotic-resistance in a national surveillance study of hospitalised patients who died with COVID-19, Italy 2020-2021

Background: Patients hospitalised for COVID-19 may present with or acquire bacterial or fungal infections that can affect the course of the disease. The aim of this study was to describe the microbiological characteristics of laboratory-confirmed infections in hospitalised patients with severe COVID-19. Methods: We reviewed the hospital charts of a sample of patients deceased with COVID-19 from the Italian National COVID-19 Surveillance, who had laboratory-confirmed bacterial or fungal bloodstream infections (BSI) or lower respiratory tract infections (LRTI), evaluating the pathogens responsible for the infections and their antimicrobial susceptibility. Results: Among 157 patients with infections hospitalised from February 2020 to April 2021, 28 (17.8%) had co-infections (≤ 48&nbsp;h from admission) and 138 (87.9%) had secondary infections (&gt; 48&nbsp;h). Most infections were bacterial; LRTI were more frequent than BSI. The most common co-infection was pneumococcal LRTI. In secondary infections, Enterococci were the most frequently recovered pathogens in BSI (21.7% of patients), followed by Enterobacterales, mainly K. pneumoniae, while LRTI were mostly associated with Gram-negative bacteria, firstly Enterobacterales (27.4% of patients, K. pneumoniae 15.3%), followed by A. baumannii (19.1%). Fungal infections, both BSI and LRTI, were mostly due to C. albicans. Antibiotic resistance rates were extremely high in Gram-negative bacteria, with almost all A. baumannii isolates resistant to carbapenems (95.5%), and K. pneumoniae and P. aeruginosa showing carbapenem resistance rates of 59.5% and 34.6%, respectively. Conclusions: In hospitalised patients with severe COVID-19, secondary infections are considerably more common than co-infections, and are mostly due to Gram-negative bacterial pathogens showing a very high rate of antibiotic resistance

Optimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world data

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 meetings