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. 2016 Jun 6;20:175. doi: 10.1186/s13054-016-1338-x

Table 2.

Multivariable analysis of factors associated with prehospital frailty among patients younger than 65 years old

Variable Adjusted OR (95 % CI) p Value % contribution
Sex 3.8
 Male 1
 Female 2.01 (0.87–4.66) 0.103
Elixhauser comorbidity score, mean ± SD 0.96 (0.91–1.02) 0.213 1.6
Rheumatoid/CTD 6.00 (2.12–17.0) 0.001 19.7
Heart failure 3.28 (0.78–13.7) 0.104 1.8
Prehospital residence 49.3
 At home (independent) 1
 At home (with help)/other 4.40 (1.75–11.1) 0.002
On disability 2.11 (0.83–5.35) 0.117 4.1
Managing own finances (independent) 0.24 (0.05–1.24) 0.088 3.5
Never married 0.23 (0.03–1.56) 0.133 2.8
Education 1.7
 Less than high school 1
 High school 0.76 (0.23–2.50) 0.653
 Higher-level degree 0.53 (0.16–1.75) 0.296
Prescription medications, n, mean ± SD 1.01 (0.93–1.10) 0.748 0.1
Prior hospitalization 3.29 (1.34–8.10) 0.010 11.7

CTD connective tissue disease

The overall model is significant (likelihood ratio χ12 2 = 78.73 with p < 0.0001) with good discriminatory ability (c-statistic 0.85) and goodness of fit (calibration, Brier score 0.12; Hosmer-Lemeshow χ8 2 = 10.37 with p = 0.24). In sensitivity analyses, age, surgical status, and sepsis were also included in the multivariable model. These did not translate into significant changes across any covariates or percentage contribution to the model.