Table 5. Multiple linear regression model for ‘length of hospital stay’ (LOS) in days as outcome.
| Variable | B | 95% Confidence interval of B | Standard error | p-value |
|---|---|---|---|---|
| Exposure: | ||||
| Multiple antibiotic resistance (MAR) score | 2.066 | 0.209–3.923 | 0.947 | 0.029 |
| Co-variates: | ||||
| Time at risk in days | -1.971E-5 | 0.000–0.000 | 0.000 | 0.913 |
| Number of co-morbidities | 3.078 | -0.791–6.948 | 1.973 | 0.119 |
| Number of invasive devices | 0.528 | -2.043–3.948 | 1.311 | 0.687 |
| Sex* | -1.654 | -7.791–4.483 | 3.131 | 0.597 |
| Age at admission in days | -0.285 | -0.611–0.42 | 0.166 | 0.087 |
| Birthweight in gram | -0.010 | -0.14–-0.007 | 0.002 | < 0.001 |
| Crude mortality | -6.064 | -12.184–0.056 | 3.122 | 0.052 |
| Intercept: 48.219 (95% CI: 32.247–64.191) | ||||
*Sex coded as 0 = male, 1 = female; B = unstandardized regression coefficient; 95% CI B = 95% confidence interval of B
Adjusting for important confounders, here listed as co-variates, the length of stay (LOS) in the hospital increased by 2.1 days with every increase in MAR score.