Effectiveness of integrated person-centered interventions for older people's care: Review of Swedish experiences and experts' perspective.

Older adults have multiple medical and social care needs, requiring a shift toward an integrated person-centered model of care. Our objective was to describe and summarize Swedish experiences of integrated person-centered care by reviewing studies published between 2000 and 2023, and to identify the main challenges and scientific gaps through expert discussions. Seventy-three publications were identified by searching MEDLINE and contacting experts. Interventions were categorized using two World Health Organization frameworks: (1) Integrated Care for Older People (ICOPE), and (2) Integrated People-Centered Health Services (IPCHS). The included 73 publications were derived from 31 unique and heterogeneous interventions pertaining mainly to the micro- and meso-levels. Among publications measuring mortality, 15% were effective. Subjective health outcomes showed improvement in 24% of publications, morbidity outcomes in 42%, disability outcomes in 48%, and service utilization outcomes in 58%. Workshop discussions in Stockholm (Sweden), March 2023, were recorded, transcribed, and summarized. Experts emphasized: (1) lack of rigorous evaluation methods, (2) need for participatory designs, (3) scarcity of macro-level interventions, and (4) importance of transitioning from person- to people-centered integrated care. These challenges could explain the unexpected weak beneficial effects of the interventions on health outcomes, whereas service utilization outcomes were more positively impacted. Finally, we derived a list of recommendations, including the need to engage care organizations in interventions from their inception and to leverage researchers' scientific expertise. Although this review provides a comprehensive snapshot of interventions in the context of Sweden, the findings offer transferable perspectives on the real-world challenges encountered in this field.

Mapping 15-year depressive symptom transitions in late life: population-based cohort study.

BACKGROUND: The longitudinal course of late-life depression remains under-studied. AIMS: To describe transitions along the depression continuum in old age and to identify factors associated with specific transition patterns. METHOD: We analysed 15-year longitudinal data on 2745 dementia-free persons aged 60+ from the population-based Swedish National Study on Aging and Care in Kungsholmen. Depression (minor and major) was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision; subsyndromal depression (SSD) was operationalised as the presence of ≥2 symptoms without depression. Multistate survival models were used to map depression transitions, including death, and to examine the association of psychosocial (social network, connection and support), lifestyle (smoking, alcohol consumption and physical activity) and clinical (somatic disease count) factors with transition patterns. RESULTS: Over the follow-up, 19.1% had ≥1 transitions across depressive states, while 6.5% had ≥2. Each additional somatic disease was associated with a higher hazard of progression from no depression (No Dep) to SSD (hazard ratio 1.09; 1.07-1.10) and depression (Dep) (hazard ratio 1.06; 1.04-1.08), but also with a lower recovery (HRSSD-No Dep 0.95; 0.93-0.97 [where 'HR' refers to 'hazard ratio']; HRDep-No Dep 0.96; 0.93-0.99). Physical activity was associated with an increased hazard of recovery to no depression from SSD (hazard ratio 1.49; 1.28-1.73) and depression (hazard ratio 1.20; 1.00-1.44), while a richer social network was associated with both higher recovery from (HRSSD-No Dep 1.44; 1.26-1.66; HRDep-No Dep 1.51; 1.34-1.71) and lower progression hazards to a worse depressive state (HRNo Dep-SSD 0.81; 0.70-0.94; HRNo Dep-Dep 0.58; 0.46-0.73; HRSSD-Dep 0.66; 0.44-0.98). CONCLUSIONS: Older people may present with heterogeneous depressive trajectories. Targeting the accumulation of somatic diseases and enhancing social interactions may be appropriate for both depression prevention and burden reduction, while promoting physical activity may primarily benefit recovery from depressive disorders.

Atrial fibrillation accelerates functional decline in older adults: a 15-year follow-up population-based study.

AIMS: Atrial fibrillation (AF) has been associated with functional impairment. However, the role exerted by AF on the long-term trajectories of functional mobility remains to be elucidated. This study aimed to evaluate the impact of AF on functional mobility by tracing walking speed (WS) trajectories over 15 years of follow-up in a population-based cohort of individuals aged 60+ years. METHODS AND RESULTS: This population-based cohort study included 3141 community-dwelling participants (mean age 73.7 years; 63.6% women) from the Swedish National Study on Aging and Care in Kungsholmen, who were regularly examined from 2001-2004 to 2016-2019. Functional mobility was assessed by measuring WS in a standardized way. The association between AF and WS trajectories was assessed by multivariable joint models accounting for the longitudinal dropouts due to death. Stratified analyses by demographic and clinical factors were performed. The effect-modifying role of oral anticoagulant therapy (OAC), incident heart failure (HF), and incident stroke was finally investigated. At baseline, 285 (9.1%) participants were ascertained to have AF. A faster annual WS decline was observed in persons with AF than in non-AF peers (adjusted ß coefficient per year = -0.011, 95% confidence interval: -0.016 to -0.005). Incident HF and stroke were associated with greater WS decline in participants with AF. OAC use was not associated with a slower functional decline. CONCLUSION: Atrial fibrillation is associated with a faster physical function decline in older individuals. Incident HF and stroke possibly accelerate WS decline over time in AF participants.

Cardiometabolic multimorbidity and incident dementia: the Swedish twin registry.

AIMS: Cardiometabolic diseases (CMDs), including diabetes, heart disease, and stroke, are established risk factors for dementia, but their combined impact has been investigated only recently. This study aimed to examine the association between mid- and late-life cardiometabolic multimorbidity and dementia and explore the role of genetic background in this association. METHODS AND RESULTS: Within the Swedish Twin Registry, 17 913 dementia-free individuals aged ≥60 were followed for 18 years. CMDs [including age of onset in mid (60) or late (≥60) life] and dementia were ascertained from medical records. Cardiometabolic multimorbidity was defined as having ≥2 CMDs. Cox regression was used to estimate the CMD-dementia association in (i) a classical cohort study design and (ii) a co-twin study design involving 356 monozygotic and dizygotic pairs. By comparing the strength of the association in the two designs, the contribution of genetic background was estimated. At baseline, 3,312 (18.5%) participants had 1 CMD and 839 (4.7%) had ≥2 CMDs. Over the follow-up period, 3,020 participants developed dementia. In the classic cohort design, the hazard ratio (95% confidence interval) of dementia was 1.42 (1.27-1.58) for 1 CMD and 2.10 (1.73-2.57) for ≥2 CMDs. Dementia risk was stronger with mid-life as opposed to late-life CMDs. In the co-twin design, the CMD-dementia association was attenuated among monozygotic [0.99 (0.50-1.98)] but not dizygotic [1.55 (1.15-2.09)] twins, suggesting that the association was in part due to genetic factors common to both CMDs and dementia. CONCLUSION: Cardiometabolic multimorbidity, particularly in mid-life, is associated with an increased risk of dementia. Genetic background may underpin this association.

Association of mild and complex multimorbidity with structural brain changes in older adults: A population-based study.

INTRODUCTION: We quantified the association of mild (ie, involving one or two body systems) and complex (ie, involving ≥3 systems) multimorbidity with structural brain changes in older adults. METHODS: We included 390 dementia-free participants aged 60+ from the Swedish National Study on Aging and Care in Kungsholmen who underwent brain magnetic resonance imaging at baseline and after 3 and/or 6 years. Using linear mixed models, we estimated the association between multimorbidity and changes in total brain tissue, ventricular, hippocampal, and white matter hyperintensities volumes. RESULTS: Compared to non-multimorbid participants, those with complex multimorbidity showed the steepest reduction in total brain (ß*time -0.03, 95% CI -0.05, -0.01) and hippocampal (ß*time -0.05, 95% CI -0.08, -0.03) volumes, the greatest ventricular enlargement (ß*time 0.03, 95% CI 0.01, 0.05), and the fastest white matter hyperintensities accumulation (ß*time 0.04, 95% CI 0.01, 0.07). DISCUSSION: Multimorbidity, particularly when involving multiple body systems, is associated with accelerated structural brain changes, involving both neurodegeneration and vascular pathology. HIGHLIGHTS: Multimorbidity accelerates structural brain changes in cognitively intact older adults These brain changes encompass both neurodegeneration and cerebrovascular pathology The complexity of multimorbidity is associated with the rate of brain changes' progression.

Blood biomarkers of Alzheimer's disease in the community: Variation by chronic diseases and inflammatory status.

INTRODUCTION: We explored the variations of blood biomarkers of Alzheimer's disease (AD) by chronic diseases and systemic inflammation. METHODS: We explored the association of AD blood biomarkers with chronic diseases and systemic inflammation (interleukin-6 [IL-6]), in 2366 dementia-free participants of the Swedish National Study on Aging and Care-in Kungsholmen, using quantile regression models. RESULTS: A greater number of co-occurring chronic diseases was associated with higher concentrations of phosphorylated-tau 181 (p-tau181), total-tau (t-tau), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) (p < 0.01). Anemia, kidney, cerebrovascular, and heart diseases were associated with variations in the levels of AD blood biomarkers. Participants in the highest (vs. lowest) interleukin-6 (IL-6) tertile had higher NfL concentration. Systemic inflammation amplified the associations between several chronic diseases and p-tau181, t-tau, NfL, and GFAP. DISCUSSION: In the community, the concentration of AD blood biomarkers varies in relation to medical conditions and systemic inflammation. Recognizing these influences is crucial for the accurate interpretation and clinical implementation of blood biomarkers. HIGHLIGHTS: Participants with a complex clinical profile (i.e., multiple co-occurring diseases or specific disease combinations) display elevated levels of AD blood-biomarkers. Anemia, heart, cerebrovascular, and kidney diseases are associated with variations is the levels of AD blood biomarkers in cognitively intact older adults. Systemic inflammation amplifies the association between several chronic diseases and AD blood biomarkers.

Multimorbidity, cognitive phenotypes, and Alzheimer's disease plasma biomarkers in older adults: A population-based study.

INTRODUCTION: To examine the burden and clusters of multimorbidity in association with mild cognitive impairment (MCI), dementia, and Alzheimer's disease (AD)-related plasma biomarkers among older adults. METHODS: This population-based study included 5432 participants (age ≥60 years); of these, plasma amyloid beta (Aß), total tau, and neurofilament light chain (NfL) were measured in a subsample (n = 1412). We used hierarchical clustering to generate five multimorbidity clusters from 23 chronic diseases. We diagnosed dementia and MCI following international criteria. Data were analyzed using logistic and linear regression models. RESULTS: The number of chronic diseases was associated with dementia (multivariable-adjusted odds ratio = 1.22; 95% confidence interval [CI] = 1.11 to 1.33), AD (1.13; 1.01 to 1.26), vascular dementia (VaD) (1.44; 1.25 to 1.64), and non-amnestic MCI (1.25; 1.13 to 1.37). Metabolic cluster was associated with VaD and non-amnestic MCI, whereas degenerative ocular cluster was associated with AD (p < 0.05). The number of chronic diseases was associated with increased plasma Aß and NfL (p < 0.05). DISCUSSION: Multimorbidity burden and clusters are differentially associated with subtypes of dementia and MCI and AD-related plasma biomarkers in older adults. HIGHLIGHTS: We used hierarchical clustering to generate five clusters of multimorbidity. The presence and load of multimorbidity were associated with dementia and mild cognitive impairment. Multimorbidity clusters were differentially associated with subtypes of dementia and Alzheimer's disease plasma biomarkers.

Cardiometabolic multimorbidity, peripheral biomarkers, and dementia in rural older adults: The MIND-China study.

INTRODUCTION: Evidence has emerged that cardiometabolic multimorbidity (CMM) is associated with dementia, but the underlying mechanisms are poorly understood. METHODS: This population-based study included 5704 older adults. Of these, data were available in 1439 persons for plasma amyloid-ß (Aß), total tau, and neurofilament light chain (NfL) and in 1809 persons for serum cytokines. We defined CMM following two common definitions used in previous studies. Data were analyzed using general linear, logistic, and mediation models. RESULTS: The presence of CMM was significantly associated with an increased likelihood of dementia, Alzheimer's disease (AD), and vascular dementia (VaD) (p < 0.05). CMM was significantly associated with increased plasma Aß40, Aß42, and NfL, whereas CMM that included visceral obesity was associated with increased serum cytokines. The mediation analysis suggested that plasma NfL significantly mediated the association of CMM with AD. DISCUSSION: CMM is associated with dementia, AD, and VaD in older adults. The neurodegenerative pathway is involved in the association of CMM with AD. HIGHLIGHTS: The presence of CMM was associated with increased likelihoods of dementia, AD, and VaD in older adults. CMM was associated with increased AD-related plasma biomarkers and serum inflammatory cytokines. Neurodegenerative pathway was partly involved in the association of CMM with AD.

Multimorbidity patterns and 18-year transitions from normal cognition to dementia and death: A population-based study.

BACKGROUND: Several chronic diseases accelerate cognitive decline; however, it is still unknown how different patterns of multimorbidity influence individuals' trajectories across the cognitive continuum. OBJECTIVES: We aimed to investigate the impact of multimorbidity and of specific multimorbidity patterns on the transitions across cognitive stages (normal cognition, cognitive impairment, no dementia [CIND], dementia) and death. METHODS: We included 3122 dementia-free individuals from the Swedish National study on Aging and Care in Kungsholmen. Using fuzzy c-means cluster analysis, multimorbid participants were classified into mutually exclusive groups characterized by commonly coexisting chronic diseases. Participants were followed up to 18 years to detect incident CIND, dementia, or death. Transition hazard ratios (HRs), life expectancies, and time spent in different cognitive stages were estimated using multistate Markov models. RESULTS: At baseline, five multimorbidity patterns were identified: neuropsychiatric, cardiovascular, sensory impairment/cancer, respiratory/metabolic/musculoskeletal, and unspecific. Compared to the unspecific pattern, the neuropsychiatric and sensory impairment/cancer ones showed reduced hazards of reverting from CIND to normal cognition (HR 0.53, 95% CI 0.33-0.85 and HR 0.60, 95% CI 0.39-0.91). Participants in the cardiovascular pattern exhibited an increased hazard of progression from CIND to dementia (HR 1.70, 95% CI 1.15-2.52) and for all transitions to death. Subjects with the neuropsychiatric and cardiovascular patterns showed reduced life expectancy at age 75, with an anticipation of CIND (up to 1.6 and 2.2 years, respectively) and dementia onset (up to 1.8 and 3.3 years, respectively). CONCLUSIONS: Multimorbidity patterns differentially steer individual trajectories across the cognitive continuum of older adults and may be used as a risk stratification tool.

Late-life depression and multimorbidity trajectories: the role of symptom complexity and severity.

INTRODUCTION: as late-life depression is associated with poor somatic health, we aimed to investigate the role of depression severity and symptom phenotypes in the progression of somatic multimorbidity. METHODS: we analysed data from 3,042 dementia-free individuals (60+) participating in the population-based Swedish National Study on Aging and Care in Kungsholmen. Using the baseline clinical assessment of 21 depressive symptoms from the Comprehensive Psychopathological Rating Scale, we: (i) diagnosed major, minor (in accordance with DSM-IV-TR) and subsyndromal depression; (ii) extracted symptom phenotypes by applying exploratory network graph analysis. Somatic multimorbidity was measured as the number of co-occurring chronic diseases over a 15-year follow-up. Linear mixed models were used to explore somatic multimorbidity trajectories in relation to baseline depression diagnoses and symptom phenotypes, while accounting for sociodemographic and behavioural factors. RESULTS: in multi-adjusted models, relative to individuals without depression, those with major (ß per year: 0.33, 95% confidence interval [CI]: 0.06-0.61) and subsyndromal depression (ß per year: 0.21, 95%CI: 0.12-0.30) experienced an accelerated rate of somatic multimorbidity accumulation, whereas those with minor depression did not. We identified affective, anxiety, cognitive, and psychomotor symptom phenotypes from the network analysis. When modelled separately, an increase in symptom score for each phenotype was associated with faster multimorbidity accumulation, although only the cognitive phenotype retained its association in a mutually adjusted model (ß per year: 0.07, 95%CI: 0.03-0.10). CONCLUSIONS: late-life major and subsyndromal depression are associated with accelerated somatic multimorbidity. Depressive symptoms characterised by a cognitive phenotype are linked to somatic health change in old age.

External validation of the hospital frailty risk score among hospitalised home care clients in Canada: a retrospective cohort study.

BACKGROUND: The Hospital Frailty Risk Score (HFRS) is scored using ICD-10 diagnostic codes in administrative hospital records. Home care clients in Canada are routinely assessed with Resident Assessment Instrument-Home Care (RAI-HC) which can calculate the Clinical Frailty Scale (CFS) and the Frailty Index (FI). OBJECTIVE: Measure the correlation between the HFRS, CFS and FI and compare prognostic utility for frailty-related outcomes. DESIGN: Retrospective cohort study. SETTING: Alberta, British Columbia and Ontario, Canada. SUBJECTS: Home care clients aged 65+ admitted to hospital within 180 days (median 65 days) of a RAI-HC assessment (n = 167,316). METHODS: Correlation between the HFRS, CFS and FI was measured using the Spearman correlation coefficient. Prognostic utility of each measure was assessed by comparing measures of association, discrimination and calibration for mortality (30 days), prolonged hospital stay (10+ days), unplanned hospital readmission (30 days) and long-term care admission (1 year). RESULTS: The HFRS was weakly correlated with the FI (ρ 0.21) and CFS (ρ 0.28). Unlike the FI and CFS, the HFRS was unable to discriminate for 30-day mortality (area under the receiver operator characteristic curve (AUC) 0.506; confidence interval (CI) 0.502-0.511). It was the only measure that could discriminate for prolonged hospital stay (AUC 0.666; CI 0.661-0.673). The HFRS operated like the FI and CFI when predicting unplanned readmission (AUC 0.530 CI 0.526-0.536) and long-term care admission (AUC 0.600; CI 0.593-0.606). CONCLUSIONS: The HFRS identifies a different subset of older adult home care clients as frail than the CFS and FI. It has prognostic utility for several frailty-related outcomes in this population, except short-term mortality.

Hospital length of stay and 30-day readmissions in older people: their association in a 20-year cohort study in Italy.

BACKGROUND: There are conflicting data on whether hospital length of stay (LOS) reduction affects readmission rates in older adults. We explored 20-year trends of hospital LOS and 30-day rehospitalizations in a cohort of Italian older people, and investigated their association. METHODS: Participants in the Pro.V.A. project (n = 3099) were followed-up from 1996 to 2018. LOS and 30-day rehospitalizations, i.e. new hospitalizations within 30 days from a previous discharge, were obtained from personal interviews and regional registers. Rehospitalizations in the 6 months before death were also assessed. Linear regressions evaluated the associations between LOS and the frequency of 30-day rehospitalizations, adjusting for the mean age of the cohort within each year. RESULTS: Over 20 years, 2320 (74.9%) participants were hospitalized. Mean LOS gradually decreased from 17.3 days in 1996 to 11.3 days in 2018, while 30-day rehospitalization rates increased from 6.6% in 1996 to 13.6% in 2018. LOS was inversely associated with 30-day rehospitalizations frequency over time (ß = -2.33, p = 0.01), similarly in men and women. A total of 1506 individuals was hospitalized within 6 months before death. The frequency of 30-day readmissions at the end of life increased from 1.4% in 1997 to 8.3% in 2017 and was associated with mean LOS (ß = -1.17, p = 0.03). CONCLUSIONS: The gradual LOS reduction observed in the latter decades is associated with higher 30-day readmission rates in older patients in Italy. This suggests that a careful pre-discharge assessment is warranted in older people, and that community healthcare services should be improved to reduce the risk of readmission.

A glycan epitope correlates with tau in serum and predicts progression to Alzheimer's disease in combination with APOE4 allele status.

INTRODUCTION: There is an urgent need for novel blood biomarkers for the detection of Alzheimer's disease (AD). We previously showed that levels of the bisecting N-acetylglucosamine glycan epitope was elevated in cerebrospinal fluid in AD. However, its diagnostic value in blood is unknown. METHODS: We analyzed blood levels of bisecting N-acetylglucosamine and total tau in a retrospective cohort of 233 individuals. Progression to AD was compared between the groups using Cox regression. The predictive value of the biomarkers was determined by logistic regression. RESULTS: Bisecting N-acetylglucosamine correlated with tau levels (p < 0.0001). Individuals with an intermediate tau/bisecting N-acetylglucosamine ratio had elevated AD risk (hazard ratio = 2.06, 95% confidence interval [CI]: 1.18-3.6). Moreover, a combined model including tau/bisecting N-acetylglucosamine ratio, apolipoprotein E (APOE) ε4 status, and Mini-Mental State Examination score predicted future AD (area under the curve = 0.81, 95% CI: 0.68-0.93). DISCUSSION: Bisecting N-acetylglucosamine in combination with tau is a valuable blood biomarker for predicting AD.

Associations of pre-pandemic levels of physical function and physical activity with COVID-19-like symptoms during the outbreak.

BACKGROUND: One's physical function and physical activity levels can predispose or protect from the development of respiratory infections. We aimed to explore the associations between pre-pandemic levels of physical function and physical activity and the development of COVID-19-like symptoms in Swedish older adults. METHODS: We analyzed data from 904 individuals aged ≥ 68 years from the population-based Swedish National study on Aging and Care in Kungsholmen. COVID-19-like symptoms were assessed by phone interview (March-June 2020) and included fever, cough, sore throat and/or a cold, headache, pain in muscles, legs and joints, loss of taste and/or odor, breathing difficulties, chest pain, gastrointestinal symptoms, and eye inflammation. Muscle strength, mobility, and physical activity were examined in 2016-2018 by objective testing. Data were analyzed using logistic regression models in the total sample and stratifying by age. RESULTS: During the first outbreak of the pandemic, 325 (36%) individuals from our sample developed COVID-19-like symptoms. Those with slower performance in the chair stand test had an odds ratio (OR) of 1.5 (95% confidence interval [CI] 1.1-2.1) for presenting with COVID-19-like symptoms compared to better performers, after adjusting for potential confounders. The association was even higher among people aged ≥ 80 years (OR 2.6; 95% CI 1.5-4.7). No significant associations were found between walking speed or engagement in moderate-to-vigorous physical activity and the likelihood to develop COVID-19-like symptoms. CONCLUSION: Poor muscle strength, a possible indicator of frailty, may predispose older adults to higher odds of developing COVID-19-like symptoms, especially among the oldest-old.

Italian guidelines on management of persons with multimorbidity and polypharmacy.

Multimorbidity and polypharmacy are emerging health priorities and the care of persons with these conditions is complex and challenging. The aim of the present guidelines is to develop recommendations for the clinical management of persons with multimorbidity and/or polypharmacy and to provide evidence-based guidance to improve their quality of care. The recommendations have been produced in keeping with the Grading of Recommendations Assessment, Development and Evaluation (GRADE). Overall, 14 recommendations were issued, focusing on 4 thematic areas: (1.) General Principles; (2.) target population for an individualized approach to care; (3.) individualized care of patients with multimorbidity and/or polypharmacy; (4.) models of care. These recommendations support the provision of individualized care to persons with multimorbidity and/or polypharmacy as well as the prioritization of care through the identification of persons at increased risk of negative health outcomes. Given the limited available evidence, recommendations could not be issued for all the questions defined and, therefore, some aspects related to the complex care of patients with multimorbidity and/or polypharmacy could not be covered in these guidelines. This points to the need for more research in this field and evidence to improve the care of this population.

Cardiometabolic multimorbidity accelerates cognitive decline and dementia progression.

INTRODUCTION: Cardiometabolic diseases (CMDs) have been individually associated with adverse cognitive outcomes, but their combined effect has not been investigated. METHODS: A total of 2577 dementia-free participants 60 years of age or older were followed for 12 years to observe changes in cognitive function and to detect incident cognitive impairment, no dementia (CIND) and dementia. CMDs (including type 2 diabetes, heart disease, and stroke) were assessed at baseline through medical records and clinical examinations. Cardiometabolic multimorbidity was defined as the presence of two or more CMDs. Data were analyzed using multi-adjusted linear mixed-effects models, Cox regression, and Laplace regression. RESULTS: CMD multimorbidity was associated with cognitive decline, CIND (hazard ratio [HR] 1.73; 95% confidence interval CI 1.23 to 2.44), and its progression to dementia (HR 1.86; 95% CI 1.17 to 2.97). CMD multimorbidity accelerated the onset of CIND by 2.3 years and dementia by 1.8 years. CONCLUSIONS: CMD multimorbidity accelerates cognitive decline and increases the risk of both CIND and its conversion to dementia. HIGHLIGHTS: We explored the combined impact of cardiometabolic diseases (CMDs) on cognition. An increasing number of CMDs dose-dependently accelerated cognitive decline. CMD multimorbidity increased the risk of both cognitive impairment and dementia. Co-morbid CMDs could be ideal targets for interventions to protect cognitive health.

Multimorbidity patterns and risk of frailty in older community-dwelling adults: a population-based cohort study.

BACKGROUND: the aim of this study was to examine the cross-sectional and longitudinal associations of different multimorbidity patterns with physical frailty in older adults. METHODS: we used data from the Swedish National study on Aging and Care in Kungsholmen to generate a physical frailty measure, and clusters of participants with similar multimorbidity patterns were identified through fuzzy c-means cluster analyses. The cross-sectional association (n = 2,534) between multimorbidity clusters and physical frailty was measured through logistic regression analyses. Six- (n = 2,122) and 12-year (n = 2,140) longitudinal associations were determined through multinomial logistic regression analyses. RESULTS: six multimorbidity patterns were identified at baseline: psychiatric diseases; cardiovascular diseases, anaemia and dementia; sensory impairments and cancer; metabolic and sleep disorders; musculoskeletal, respiratory and gastrointestinal diseases; and an unspecific pattern lacking any overrepresented diseases. Cross-sectionally, each pattern was associated with physical frailty compared with the unspecific pattern. Over 6 years, the psychiatric diseases (relative risk ratio [RRR]: 3.04; 95% confidence intervals [CI]: 1.59-5.79); cardiovascular diseases, anaemia and dementia (RRR 2.25; 95% CI: 1.13-4.49) and metabolic and sleep disorders (RRR 1.99; 95% CI: 1.25-3.16) patterns were associated with incident physical frailty. The cardiovascular diseases, anaemia and dementia (RRR: 4.81; 95% CI: 1.59-14.60); psychiatric diseases (RRR 2.62; 95% CI: 1.45-4.72) and sensory impairments and cancer (RRR 1.87; 95% CI: 1.05-3.35) patterns were more associated with physical frailty, compared with the unspecific pattern, over 12 years. CONCLUSIONS: we found that older adults with multimorbidity characterised by cardiovascular and neuropsychiatric disease patterns are most susceptible to developing physical frailty.

Comorbidity status of deceased COVID-19 in-patients in Italy.

BACKGROUND: Most COVID-19-related deaths have occurred in older persons with comorbidities. Specific patterns of comorbidities related to COVID-19 deaths have not been investigated. METHODS: A random sample of 6085 individuals in Italy who died in-hospital with confirmed COVID-19 between February and December 2020 were included. Observed to expected (O/E) ratios of disease pairs were computed and logistic regression models were used to determine the association between disease pairs with O/E values ≥ 1.5. RESULTS: Six pairs of diseases exhibited O/E values ≥ 1.5 and statistically significant higher odds of co-occurrence in the crude and adjusted analyses: (1) ischemic heart disease and atrial fibrillation, (2) atrial fibrillation and heart failure, (3) atrial fibrillation and stroke, (4) heart failure and COPD, (5) stroke and dementia, and (6) type 2 diabetes and obesity. CONCLUSION: In those deceased in-hospital due to COVID-19 in Italy, disease combinations defined by multiple cardio-respiratory, metabolic, and neuropsychiatric diseases occur more frequently than expected. This finding indicates a need to investigate the possible role of these clinical profiles in the chain of events that lead to death in individuals who have contracted SARS-CoV-2.

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.

Physical performance measures and hospital outcomes among Italian older adults: results from the CRIME project.

BACKGROUND: Older adults are a complex population, at risk of adverse events during and after hospital stay. AIM: To investigate the association of walking speed (WS) and grip strength (GS) with adverse outcomes, during and after hospitalization, among older individuals admitted to acute care wards. METHODS: Multicentre observational study including 1123 adults aged ≥ 65 years admitted to acute wards in Italy. WS and GS were measured at admission and discharge. Outcomes were length-of-stay, in-hospital mortality, 1-year mortality and rehospitalisation. Length-of-stay was defined as a number of days from admission to discharge/death. RESULTS: Mean age was 81 ± 7 years, 56% were women. Compared to patients with WS ≥ 0.8 m/sec, those unable to perform or with WS < 0.8 m/sec had a higher likelihood of longer length-of-stay (OR 2.57; 95% CI 1.63-4.03 and 2.42; 95% CI 1.55-3.79) and 1-year mortality and rehospitalization (OR 1.47, 95% CI 1.07-2.01; OR 1.57, 95% CI 1.04-2.37); those unable to perform WS had a higher likelihood of in-hospital mortality (OR 9.59; 95% CI 1.23-14.57) and 1-year mortality (OR 2.60; 95% CI 1.37-4.93). Compared to good GS performers, those unable to perform had a higher likelihood of in-hospital mortality (OR 17.43; 95% CI 3.87-28.46), 1-year mortality ( OR 3.14; 95% CI 1.37-4.93) and combination of 1-year mortality and rehospitalisation (OR 1.46; 95% CI 1.01-2.12); poor GS performers had a higher likelihood of 1-year mortality (OR 1.39; 95% CI 1.03-2.35); participants unable to perform GS had a lower likelihood of rehospitalisation (OR 0.59; 95% CI 0.39-0.89). CONCLUSION: Walking speed (WS) and grip strength (GS) are easy-to-assess predictors of length-of-stay, in-hospital and post-discharge death and should be incorporated in the standard assessment of hospitalized patients.