Table 2.
Single regression analysis for factors with a correlation coefficient ≥0.4
| Variable | Estimate | P value | Lower 95% confidence interval | Upper 95% confidence interval |
|---|---|---|---|---|
| MCH (0 wk) | −4.84 | 0.49 | −18.79 | 9.11 |
| Gender | 6.91 | 0.77 | −38.83 | 52.64 |
| Body weight | 0.57 | 0.51 | −1.12 | 2.26 |
| MCV (0 wk) | 0.58 | 0.80 | −3.99 | 5.15 |
| ESA change (28–0 wk) | −0.02 | <0.0001 | −0.03 | −0.01 |
| ERI change (28–0 wk) | −9.18 | 0.0003 | −14.11 | −4.25 |
Single regression analysis showed that body weight, MCH, and change of ESA were more strongly associated with change of ferritin than gender, MCV, and change of ERI respectively. Therefore, gender, MCV, and change of ERI were removed from candidate factors.
ERI, erythropoietin resistance index; ESA, erythropoietin-stimulating agents; MCH, mean corpuscular hemoglobin; MCV, mean corpuscular volume.