Association between low muscle thickness, high Echo intensity and prolonged LOS in hospitalised older adults: a logistic regression analysis.
| Independent variable . | OR for prolonged LOS . | 95% CI . | P value . | |
|---|---|---|---|---|
| Gender (male) | 1.11 | 0.51 | 2.45 | .788 |
| Low MT | ||||
| Crude model | 3.75 | 1.57 | 8.95 | .003 |
| Adj. Model 1 (age, sex) | 3.41 | 1.33 | 8.75 | .011 |
| Adj. Model 2 (age, sex, EI) | 3.21 | 1.23 | 8.36 | .017 |
| High EI | ||||
| Crude model | 0.78 | 0.36 | 1.73 | .547 |
| Adj. Model 1 (age, sex) | 0.62 | 0.26 | 1.48 | .283 |
| Adj. Model 2 (age, sex, MT) | 0.72 | 0.29 | 1.79 | .477 |
| High CCI scores | ||||
| Crude model | 2.48 | 1.11 | 5.56 | .027 |
| Adj. Model 1 (age, sex) | 2.21 | 0.97 | 5.07 | .061 |
| Adj. Model 2 (age, sex, MT) | 2.12 | 0.88 | 5.09 | .092 |
| Adj. Model 3 (age, sex, EI) | 2.23 | 0.96 | 5.14 | .061 |
| Adj. Model 4 (age, sex, MT, EI) | 2.18 | 0.90 | 5.26 | .083 |
| Independent variable . | OR for prolonged LOS . | 95% CI . | P value . | |
|---|---|---|---|---|
| Gender (male) | 1.11 | 0.51 | 2.45 | .788 |
| Low MT | ||||
| Crude model | 3.75 | 1.57 | 8.95 | .003 |
| Adj. Model 1 (age, sex) | 3.41 | 1.33 | 8.75 | .011 |
| Adj. Model 2 (age, sex, EI) | 3.21 | 1.23 | 8.36 | .017 |
| High EI | ||||
| Crude model | 0.78 | 0.36 | 1.73 | .547 |
| Adj. Model 1 (age, sex) | 0.62 | 0.26 | 1.48 | .283 |
| Adj. Model 2 (age, sex, MT) | 0.72 | 0.29 | 1.79 | .477 |
| High CCI scores | ||||
| Crude model | 2.48 | 1.11 | 5.56 | .027 |
| Adj. Model 1 (age, sex) | 2.21 | 0.97 | 5.07 | .061 |
| Adj. Model 2 (age, sex, MT) | 2.12 | 0.88 | 5.09 | .092 |
| Adj. Model 3 (age, sex, EI) | 2.23 | 0.96 | 5.14 | .061 |
| Adj. Model 4 (age, sex, MT, EI) | 2.18 | 0.90 | 5.26 | .083 |
LOS, length of stay; OR, odds ratio; CI, confidence interval; MT, muscle thickness; EI, echo intensity; CCI, Charlson Comorbidity Index. Bolded OR values indicate effect sizes. P values < 0.05 are bolded to denote statistical significance.
Association between low muscle thickness, high Echo intensity and prolonged LOS in hospitalised older adults: a logistic regression analysis.
| Independent variable . | OR for prolonged LOS . | 95% CI . | P value . | |
|---|---|---|---|---|
| Gender (male) | 1.11 | 0.51 | 2.45 | .788 |
| Low MT | ||||
| Crude model | 3.75 | 1.57 | 8.95 | .003 |
| Adj. Model 1 (age, sex) | 3.41 | 1.33 | 8.75 | .011 |
| Adj. Model 2 (age, sex, EI) | 3.21 | 1.23 | 8.36 | .017 |
| High EI | ||||
| Crude model | 0.78 | 0.36 | 1.73 | .547 |
| Adj. Model 1 (age, sex) | 0.62 | 0.26 | 1.48 | .283 |
| Adj. Model 2 (age, sex, MT) | 0.72 | 0.29 | 1.79 | .477 |
| High CCI scores | ||||
| Crude model | 2.48 | 1.11 | 5.56 | .027 |
| Adj. Model 1 (age, sex) | 2.21 | 0.97 | 5.07 | .061 |
| Adj. Model 2 (age, sex, MT) | 2.12 | 0.88 | 5.09 | .092 |
| Adj. Model 3 (age, sex, EI) | 2.23 | 0.96 | 5.14 | .061 |
| Adj. Model 4 (age, sex, MT, EI) | 2.18 | 0.90 | 5.26 | .083 |
| Independent variable . | OR for prolonged LOS . | 95% CI . | P value . | |
|---|---|---|---|---|
| Gender (male) | 1.11 | 0.51 | 2.45 | .788 |
| Low MT | ||||
| Crude model | 3.75 | 1.57 | 8.95 | .003 |
| Adj. Model 1 (age, sex) | 3.41 | 1.33 | 8.75 | .011 |
| Adj. Model 2 (age, sex, EI) | 3.21 | 1.23 | 8.36 | .017 |
| High EI | ||||
| Crude model | 0.78 | 0.36 | 1.73 | .547 |
| Adj. Model 1 (age, sex) | 0.62 | 0.26 | 1.48 | .283 |
| Adj. Model 2 (age, sex, MT) | 0.72 | 0.29 | 1.79 | .477 |
| High CCI scores | ||||
| Crude model | 2.48 | 1.11 | 5.56 | .027 |
| Adj. Model 1 (age, sex) | 2.21 | 0.97 | 5.07 | .061 |
| Adj. Model 2 (age, sex, MT) | 2.12 | 0.88 | 5.09 | .092 |
| Adj. Model 3 (age, sex, EI) | 2.23 | 0.96 | 5.14 | .061 |
| Adj. Model 4 (age, sex, MT, EI) | 2.18 | 0.90 | 5.26 | .083 |
LOS, length of stay; OR, odds ratio; CI, confidence interval; MT, muscle thickness; EI, echo intensity; CCI, Charlson Comorbidity Index. Bolded OR values indicate effect sizes. P values < 0.05 are bolded to denote statistical significance.
This PDF is available to Subscribers Only
View Article Abstract & Purchase OptionsFor full access to this pdf, sign in to an existing account, or purchase an annual subscription.
