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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.
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Fragilidad , Anciano , Estudios de Cohortes , Estudios Transversales , Fragilidad/diagnóstico , Fragilidad/epidemiología , Humanos , Vida Independiente , MultimorbilidadRESUMEN
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.
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COVID-19 , Diabetes Mellitus Tipo 2 , Anciano , Anciano de 80 o más Años , Comorbilidad , Humanos , Italia/epidemiología , Factores de Riesgo , SARS-CoV-2RESUMEN
BACKGROUND: This study aims to examine temporal trends in frailty state transitions, and years spent frail, in older Swedish adults. METHODS: We followed the Swedish National Study on Aging and Care in Kungsholmen participants from baseline (2001-2004) for 15 (median: 9.6) years. A 40-deficit frailty index (FI) was constructed to identify 3 frailty states: robust (FIâ ≤â 0.125), mild frailty (0.125â <â FIâ ≤â 0.25), and moderate and severe frailty (FI â >â 0.25). Multistate survival analyses were implemented to obtain hazard ratios (HRs) for frailty state transitions, with birth year and sex as predictors. To examine temporal trends, frailty state-specific life expectancies at age 60 were forecasted for robust persons born in different years (1900, 1910, 1920, 1930, and 1940), also by sex. RESULTS: At baseline, the 2 941 participants' mean age was 75 years and 65% were women. Predicted life expectancy and time spent frail from age 60 followed an increasing trend by birth year. Hazards of transitioning from mild frailty to death (HR: 0.89; 95% confidence interval [CI]: 0.83-0.97) and moderate and severe frailty to death (HR: 0.98; 95% CI: 0.97-1.00) were lower for those born later. Women were less likely to transition from robust to mild frailty (HR: 0.81; 95% CI: 0.70-0.93), mild frailty to moderate and severe frailty (HR: 0.80; 95% CI: 0.68-0.93), and moderate and severe frailty to death (HR: 0.68; 95% CI: 0.59-0.78), but spent more time frail. CONCLUSIONS: Our results point to an expansion of time spent frail among older Swedish adults over time.
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Fragilidad , Humanos , Femenino , Anciano , Masculino , Fragilidad/epidemiología , Anciano Frágil , Suecia/epidemiología , Esperanza de Vida , Envejecimiento , Evaluación Geriátrica/métodosRESUMEN
OBJECTIVES: This study aims to investigate the relationship between frailty and avoidable hospitalization risk, and the moderating role of sociodemographic, clinical, and care-related factors. DESIGN: Longitudinal population-based cohort study. SETTING AND PARTICIPANTS: A total of 3168 community-dwelling individuals, aged ≥60 years, from the Swedish National study on Aging and Care in Kungsholmen (SNAC-K). METHODS: We operationalized physical frailty using baseline SNAC-K data (2001-2004). In line with the Swedish Board of Health and Welfare and Association of Local Authorities and Regions, avoidable hospitalizations were considered those that could have been prevented through proper and timely outpatient care and identified through the Swedish National Patient Register. Participants were followed from baseline until first avoidable hospitalization, death, drop out, institutionalization, or maximum 12 (median 7.6) years. The association between frailty and avoidable hospitalization was explored through flexible parametric survival models, with stratified analyses to investigate age, gender, education, civil status, multimorbidity, cognitive status, and informal and formal care as potential modifiers. RESULTS: The adjusted 12-year cumulative incidence of avoidable hospitalization was significantly higher for frail persons (cumulative incidence 33.2%, 95% CI 28.9%-38.1%) than for prefrail (cumulative incidence 26.6%, 95% CI 24.5%-29.0%) and nonfrail (cumulative incidence 25.2%, 95% CI 22.5%-28.3%) individuals. In addition, prefrailty [hazard ratio (HR) 1.21, 95% CI 1.00-1.45] and frailty (HR 1.91, 95% CI 1.47-2.50) were associated with increased avoidable hospitalization hazards. Furthermore, the association between frailty and avoidable hospitalization was stronger in older adults aged <78 years (HR 3.12, 95% CI 1.99-4.91) and those with relatively fewer chronic diseases (HR 3.88, 95% CI 1.95-7.72), whereas provision of formal social care (HR 1.15, 95% CI 0.77-1.72) seemed to act as a buffer. CONCLUSIONS AND IMPLICATIONS: Our results indicate that older community-dwelling adults with prefrailty and frailty are at increased risk of experiencing avoidable hospitalizations, highlighting a need for better care of these individuals at the outpatient level. Formal social care services and close monitoring of particularly vulnerable subgroups of frail persons may mitigate this risk.
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BACKGROUND: This study aimed to assess the associations of orthostatic hypotension (OH), in the presence or absence of frailty, with dementia and mortality in older adults. METHODS: We conducted a 15-year population-based cohort study including 2 703 baseline dementia-free individuals from the Swedish National Study on Aging and Care in Kungsholmen. At baseline, OH was defined as a decline in systolic/diastolic blood pressure ≥20/10 mm Hg 1 minute after standing up from a supine position. Frailty status was defined following Fried's frailty phenotype. Dementia was diagnosed following the Diagnostic and Statistical Manual of Mental Disorders-fourth edition criteria. Multistate flexible parametric survival models were used to estimate associations of OH and frailty with dementia and mortality. RESULTS: Robust people with OH (adjusted hazard ratio [HR] = 2.28; 95% confidence interval [CI] = 1.47-3.54) and frail people without OH (HR = 1.98; 95% CI = 1.40-2.82) or with OH (HR = 2.73; 95% CI = 1.82-4.10) had a higher dementia risk than OH-free and robust people. Moreover, frail people, independently of the presence of OH, had higher mortality rate than OH-free and robust people. In individuals who developed dementia during the follow-up period, neither OH nor frailty was significantly associated with mortality. CONCLUSIONS: Older adults with OH, whether robust or frail, may have a higher dementia risk than those without OH. Older adults with OH, when having frailty, may have a higher mortality rate than those without OH. The concurrent assessments of OH and frailty may provide prognostic values in terms of dementia and mortality risk in older adults.
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Demencia , Fragilidad , Hipotensión Ortostática , Humanos , Anciano , Fragilidad/complicaciones , Hipotensión Ortostática/complicaciones , Hipotensión Ortostática/epidemiología , Estudios de Cohortes , Anciano Frágil , Demencia/epidemiologíaRESUMEN
BACKGROUND: Multimorbidity, the coexistence of multiple chronic diseases in an individual, is highly prevalent and challenging for healthcare systems. However, its risk factors remain poorly understood. OBJECTIVE: To systematically review studies reporting multimorbidity risk factors. METHODS: A PRISMA-compliant systematic review was conducted, searching electronic databases (MEDLINE, EMBASE, Web of Science, Scopus). Inclusion criteria were studies addressing multimorbidity transitions, trajectories, continuous disease counts, and specific patterns. Non-human studies and participants under 18 were excluded. Associations between risk factors and multimorbidity onset were reported. RESULTS: Of 20,806 identified studies, 68 were included, with participants aged 18-105 from 23 countries. Nine risk factor categories were identified, including demographic, socioeconomic, and behavioral factors. Older age, low education, obesity, hypertension, depression, low pysical function were generally positively associated with multimorbidity. Results for factors like smoking, alcohol consumption, and dietary patterns were inconsistent. Study quality was moderate, with 16.2% having low risk of bias. CONCLUSIONS: Several risk factors seem to be consistently associated with an increased risk of accumulating chronic diseases over time. However, heterogeneity in settings, exposure and outcome, and baseline health of participants hampers robust conclusions.
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Hipertensión , Multimorbilidad , Humanos , Factores de Riesgo , Enfermedad Crónica , Obesidad/epidemiologíaRESUMEN
OBJECTIVES: The aim was to characterize multimorbidity patterns in a large sample of older individuals living in nursing homes (NHs) and to investigate their association with mortality, also considering the effect of functional status. DESIGN: Observational and retrospective study. SETTING AND PARTICIPANTS: We analyzed data on 4131 NH residents in Italy, aged 60 years and older, assessed through the interRAI long-term care facility instrument. Entry date was between 2014 and 2018, and participants were followed until 2019. METHODS: Multimorbidity patterns were identified through principal component analysis; for the identified components, subjects were stratified in quintiles (Q) with respect to their loading values, with the higher quantiles indicating greater expression of the component's pattern. Their association [hazard ratio (HR) and 95% CI] with mortality was tested in Cox regression models. Analyses were stratified by disability status. RESULTS: Four patterns of multimorbidity were identified: (1) heart diseases; (2) dementia and sensory impairments; (3) heart, respiratory, and psychiatric diseases; and (4) diabetes, musculoskeletal, and vascular diseases. For the heart diseases pattern [HR Q5 vs Q1 = 1.83 (1.53-2.20)] and the dementia and sensory impairments pattern [HR Q5 vs Q1 = 1.23 (1.06-1.42)], as the specific multimorbidity expression increases, the risk of mortality increases. On stratifying by disability status, the association between the multimorbidity patterns and mortality was not always present. CONCLUSIONS AND IMPLICATIONS: Different multimorbidity patterns are differentially associated with mortality in older residents of NHs, confirming that multimorbidity's prognosis is strictly dependent on the underlying disease combinations. This knowledge may be useful to implement personalized preventive and therapeutic care pathways for institutionalized older adults, which respond to individuals' health needs.
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Demencia , Cardiopatías , Anciano , Humanos , Persona de Mediana Edad , Multimorbilidad , Modelos de Riesgos Proporcionales , Estudios RetrospectivosRESUMEN
OBJECTIVES: The aim was to evaluate patterns of multimorbidity that increase the risk of institutionalization in older persons, also exploring the potential buffering effect of formal and informal care. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: The population-based Swedish National study on Aging and Care in Kungsholmen, Stockholm, Sweden. MEASURES: In total, 2571 community-dwelling older adults were grouped at baseline according to their underlying multimorbidity patterns, using a fuzzy c-means cluster algorithm, and followed up for 6 years to test the association between multimorbidity patterns and institutionalization. RESULTS: Six patterns of multimorbidity were identified: psychiatric diseases; cardiovascular diseases, anemia, and dementia; metabolic and sleep disorders; sensory impairments and cancer; musculoskeletal, respiratory, and gastrointestinal diseases; and an unspecific pattern including diseases of which none were overrepresented. In total, 110 (4.3%) participants were institutionalized during the follow-up, ranging from 1.7% in the metabolic and sleep disorders pattern to 8.4% in the cardiovascular diseases, anemia, and dementia pattern. Compared with the unspecific pattern, only the cardiovascular diseases, anemia, dementia pattern was significantly associated with institutionalization [relative risk ratio (RRR) = 2.23; 95% confidence interval (CI) 1.07â4.65)], after adjusting for demographic characteristics and disability status at baseline. In stratified analyses, those not receiving formal care in the psychiatric diseases pattern (RRR 3.34; 95% CI 1.20â9.32) and those not receiving formal or informal care in the 'cardiovascular diseases, anemia, dementia' pattern (RRR 2.99; 95% CI 1.20â7.46; RRR 2.79; 95% CI 1.16â6.71, respectively) had increased risks of institutionalization. CONCLUSIONS AND IMPLICATIONS: Older persons suffering from specific multimorbidity patterns have a higher risk of institutionalization, especially if they lack formal or informal care. Interventions aimed at preventing the clustering of diseases could reduce the associated burden on residential long-term care. Formal and informal care provision may be effective strategies in reducing the risk of institutionalization.
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Institucionalización , Multimorbilidad , Anciano , Anciano de 80 o más Años , Envejecimiento , Humanos , Vida Independiente , Estudios ProspectivosRESUMEN
Despite the high prevalence and devastating outcomes associated with osteoporotic fractures, they are not well investigated or treated. We developed an electronic Osteoporosis and Falls Assessment Form for integration within electronic medical records (EMR) with the aim to improve osteoporosis-related care in family practice. We examined usage and collected usability feedback from 37 physicians. A medical record review was used to assess tool usage over a 6-month period after which all participants completed a survey to assess their perceptions of the tool. The tool was used at least once by 22 (59%) physicians with 119 patients. Most users reported that it enhanced their practice (64%) and they intended to use it in the future (71%). Time constraints, complexity, and requirements to manually enter sections were identified as barriers to use. Lessons learned will inform improvements, which, given the perceived value of this tool, will likely improve uptake.