We explored the role of age, gender, and socioeconomic status in the occurrence of chronic diseases and multimorbidity in 1099 elderly participants in the Kungsholmen Project. Cardiovascular and mental diseases were the most common chronic disorders. Of the participants, 55% had multimorbidity. Advanced age, female gender, and lower education were independently associated with a more than 50% increased risk for multimorbidity. Multimorbidity is the most common clinical picture of the elderly and may be increased by unhealthy behaviors linked to education.
BackgroundAlthough the definition of multimorbidity as “the simultaneous presence of two or more chronic diseases” is well established, its operationalization is not yet agreed. This study aims to provide a clinically driven comprehensive list of chronic conditions to be included when measuring multimorbidity.MethodsBased on a consensus definition of chronic disease, all four-digit level codes from the International Classification of Diseases, 10th revision (ICD-10) were classified as chronic or not by an international and multidisciplinary team. Chronic ICD-10 codes were subsequently grouped into broader categories according to clinical criteria. Last, we showed proof of concept by applying the classification to older adults from the Swedish National study of Aging and Care in Kungsholmen (SNAC-K) using also inpatient data from the Swedish National Patient Register.ResultsA disease or condition was considered to be chronic if it had a prolonged duration and either (a) left residual disability or worsening quality of life or (b) required a long period of care, treatment, or rehabilitation. After applying this definition in relation to populations of older adults, 918 chronic ICD-10 codes were identified and grouped into 60 chronic disease categories. In SNAC-K, 88.6% had ≥2 of these 60 disease categories, 73.2% had ≥3, and 55.8% had ≥4.ConclusionsThis operational measure of multimorbidity, which can be implemented using either or both clinical and administrative data, may facilitate its monitoring and international comparison. Once validated, it may enable the advancement and evolution of conceptual and theoretical aspects of multimorbidity that will eventually lead to better care.
Background: Heart failure has been linked to cognitive impairment in several previous studies, but to our knowledge, no investigations have explored the relationship between heart failure and the risk of dementia. We sought to examine the hypothesis that heart failure is a risk factor for dementia and Alzheimer disease.Methods: A community-based cohort of 1301 individuals 75 years or older and without dementia in Stockholm, Sweden, was examined 3 times over a 9-year period to detect patients with dementia and Alzheimer disease using the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition. Heart failure was defined according to the guidelines of the Task Force on Heart Failure of the European Society of Cardiology by integrating clinical symptoms and signs with inpatient register entries and use of cardiac medications. Data were analyzed using Cox proportional hazards models with adjustment for major potential confounders.Results: During the 6534 person-years of follow-up (mean,5.02 years per person), 440 subjects were diagnosed as having dementia, including 333 with Alzheimer disease. At baseline, heart failure was identified in 205 subjects. Heart failure was associated with a multiadjusted hazard ratio (HR) of 1.84 (95% confidence interval [CI], 1.35-2.51) for dementia and 1.80 (95% CI, 1.25-2.61) for Alzheimer disease. Use of antihypertensive drugs (83% of which are diuretics) seemed to reduce dementia risk due to heart failure (HR, 1.38; 95% CI, 0.99-1.94). Heart failure and low diastolic pressure (Ͻ70 mm Hg) had an additive effect on the risk for dementia (HR, 3.07; 95% CI, 1.67-5.61).Conclusions: Heart failure is associated with an increased risk of dementia and Alzheimer disease in older adults. Antihypertensive drug therapy may partially counteract the risk effect of heart failure on dementia disorders.
Frailty and multimorbidity are two related conditions in older adults. Most frail individuals are also multimorbid but fewer multimorbid ones present also frailty. Our findings are not conclusive regarding the causal association between the two conditions. Further longitudinal and well-designed studies may help to untangle the relationship between frailty and multimorbidity.
In persons with multimorbidity, there exists co-occurrence of diseases beyond chance, which clinicians need to take into account in their daily practice. Some pathological mechanisms behind the identified clusters are well known; others need further clarification to identify possible preventative strategies.
Purposes: We evaluated the prevalence and factors associated with polypharmacy and investigated the role of polypharmacy as a predictor of length of hospital stay and in-hospital mortality. Methods: Thirty-eight internal medicine wards in Italy participated in the Registro Politerapie SIMI (REPOSI) study during 2008. One thousand three hundred and thirty-two in-patients aged ≥65 years were enrolled. Polypharmacy was defined as the concomitant use of five or more medications. Linear regression analyses were used to evaluate predictors of length of hospital stay and logistic regression models for predictors of in-hospital mortality. Age, sex, Charlson comorbidity index, polypharmacy, and number of in-hospital clinical adverse events (AEs) were used as possible confounders. Results: The prevalence of polypharmacy was 51.9% at hospital admission and 67.0% at discharge. Age, number of drugs at admission, hypertension, ischemic heart disease, heart failure, and chronic obstructive pulmonary disease were independently associated with polypharmacy at discharge. In multivariate analysis, the occurrence of at least one AE while in hospital was the only predictor of prolonged hospitalization (each new AE prolonged hospital stay by 3.57 days, p<0.0001). Age [odds ratio (OR) 1.04; 95% confidence interval (CI) 1.01-1.08; p=0.02), comorbidities (OR 1.18; 95% CI 1.12-1.24; p<0.0001), and AEs (OR 6.80; 95% CI 3.58-12.9; p<0.0001) were significantly associated with in-hospital mortality. Conclusions: Although most elderly in-patients receive polypharmacy, in this study, it was not associated with any hospital outcome. However, AEs were strongly correlated with a longer hospital stay and higher mortality risk. © 2011 Springer-Verlag
Objective. We aimed to disentangle the effect of chronic multimorbidity and disability on 3-year functional decline and survival in the elderly.Design. Prospective cohort study with a mean of follow-up of 2.8 years.Setting. Swedish elderly persons from the Kungsholmen Project (1987-2000.Subjects. A total of 1099 subjects, 77-100 years old, living in the community and institutions.Main outcome measurements. Medical diagnoses (based on clinical examination, drug use, medical records and blood tests), and functional assessment (according to Katz Index) at baseline were investigated in relation to functional decline and death occurring during follow-up.Results. At baseline, 12.1% of participants had disability, and 52.3% were affected by multimorbidity. During follow-up, 363 persons died and 85 worsened in functioning. The number of chronic conditions incrementally increased the risk of functional decline [hazard ratio (HR) increased from 1.5 in subjects with one disease to 6.2 in persons with 4+ diseases]. However, this was not the case for mortality, as the HR of death was the same for people with one disease as well as 4+ diseases (HR = 2.3). Baseline disability had the highest impact on survival, independently of number of diseases [HR = 8.1; 95% confidence interval (CI) = 4.8-13.7 in subjects with one disease and HR = 7.7; 95% CI = 4.7-12.6 in those with 2+ diseases].Conclusions. In the elderly subjects, chronic disability rather than multimorbidity emerged as the strongest negative prognostic factor for functionality and survival.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.