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In order to better define frailty, factor analysis (FA) appropriate for binary data was conducted using the Mplus software (version 4.2).
In the model of choice, the derived factor score for frailty (i.e. scores of a subject on the frailty factor) was examined to explore the distribution of frailty by age and/sex in each study population.
Visual problems was the only frailty factor associated with increased odds of hospitalisation in the final adjusted model, while the presence in the last year of bedsores, low weight/poor nutrition or incontinence had a negative effect on hospitalisation, as did residence in a nursing home (figure 1).
The differences in the values reflect the degree of correlation of the variable with either factor, for example; the variable 'angina' has a factor loading of 0.550 on the general (frailty) factor and a loading of 0.619 on its specific factor (Cardiovascular symptoms/disease) with both factors independent of each other.
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Introduction: Nowadays, opposite to ancient times, the feeling of caring only for patients accumulating frailty factors wins ICU physicians.
Descriptive statistics were produced for all frailty factors and adverse outcomes.
Factors associated with decreased likelihood of hospitalisation included terminal illness, specific frailty factors and receipt of residential care.
These variables were grouped into (1) comorbidities; (2) frailty factors; and (3) medications, vaccinations and health behaviours.
14 comorbidities, 5 frailty factors and 4 medications/vaccinations were associated with hospitalisation (of 18, 12 and 7 considered, respectively).
Apart from frailty levels and frailty factors, we paid attention to the factors age, gender, dental status and being institutionalized in case these appeared to influence the theme.
The association between hospitalisation within 28 days of CAP diagnosis (a 'post-CAP' hospitalisation) and a wide range of comorbidities, frailty factors, medications and vaccinations.
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