7 research outputs found
Oral anticoagulation and self-management: analysis of the factors that determine the feasibility of using self-testing and self-management in primary care
Mean number of conditions by sex and age group.
<p>Mean number of conditions by sex and age group.</p
Factor scores of the conditions included in each pattern in men.
<p>KMO: 0.56. Percentage of cumulative variance: 37.90%. Factors score >0.25 are highlighted in bold.</p
Prevalence rates of chronic diseases and syndromes in the study population by sex.
<p>Prevalence rates of chronic diseases and syndromes in the study population by sex.</p
Main characteristics of the study population.
<p>* Chi-square test</p><p><sup>a</sup> Barthel Index (Independency-low dependency: 60-100/100; Moderate dependency: 55-40/100; Severe-total dependency: ≤35/100)</p><p><sup>b</sup> Red Cross Mental Scale (Dementia: 4-5/5) and background of dementia in electronic clinical record</p><p><sup>c</sup> Pfeiffer’s Test (Cognitive decline: 3-10/10)</p><p>ER: emergency room.</p
Factor scores of the conditions included in each pattern in women.
<p>KMO: 0.55. Percentage of cumulative variance: 35.32%. Factor scores >0.25 are highlighted in bold.</p
Multimorbidity Patterns in Hospitalized Older Patients: Associations among Chronic Diseases and Geriatric Syndromes
The clinical status of older individuals with multimorbidity can be further complicated by concomitant geriatric syndromes. This study explores multimorbidity patterns, encompassing both chronic diseases and geriatric syndromes, in geriatric patients attended in an acute hospital setting.Retrospective observational study.Unit of Social and Clinical Assessment (UVSS), Miguel Servet University Hospital (HUMS), Zaragoza (Spain). Year, 2011.A total of 924 hospitalized patients aged 65 years or older.Data on patients' clinical, functional, cognitive and social statuses were gathered through comprehensive geriatric assessments. To identify diseases and/or geriatric syndromes that cluster into patterns, an exploratory factor analysis was applied, stratifying by sex. The factors can be interpreted as multimorbidity patterns, i.e., diseases non-randomly associated with each other within the study population. The resulting patterns were clinically assessed by several physicians.The mean age of the study population was 82.1 years (SD 7.2). Multimorbidity burden was lower in men under 80 years, but increased in those over 80. Immobility, urinary incontinence, hypertension, falls, dementia, cognitive decline, diabetes and arrhythmia were among the 10 most frequent health problems in both sexes, with prevalence rates above 20%. Four multimorbidity patterns were identified that were present in both sexes: Cardiovascular, Induced Dependency, Falls and Osteoarticular. The number of conditions comprising these patterns was similar in men and women.The existence of specific multimorbidity patterns in geriatric patients, such as the Induced Dependency and Falls patterns, may facilitate the early detection of vulnerability to stressors, thus helping to avoid negative health outcomes such as functional disability