From: Application of deep learning to predict the low serum albumin in new hemodialysis patients
Characteristics | Comparison | Unadjusted | ||
---|---|---|---|---|
OR | 95% CI | P | ||
Age | Years | 1.05 | 1.04–1.06 | < 0.001 |
Gender | Male v.s Female | 0.66 | 0.51–0.86 | 0.002 |
Comorbidity | Â | Â | Â | Â |
 Diabetes mellitus | Yes v.s No | 1.39 | 1.07–1.81 | 0.013 |
 Hypertension | Yes v.s No | 1.27 | 0.91–1.8 | 0.171 |
 Heart Failure | Yes v.s No | 1.41 | 1.04–1.89 | 0.025 |
 Cancer | Yes v.s No | 1.50 | 1.16–1.95 | 0.002 |
Laboratory measurements | Â | Â | Â | Â |
 Hb | g/dL | 0.63 | 0.57–0.70 | < 0.001 |
 Fe | ug/dL | 0.99 | 0.99–1.00 | < 0.001 |
 Ferritin | ug/dL | 1.001 | 1.0007–1.0012 | < 0.001 |
 Na | mEq/L | 0.90 | 0.87–0.94 | < 0.001 |
 K | mEq/L | 0.54 | 0.44–0.66 | < 0.001 |
 Ca | mg/dL | 0.61 | 0.51–0.72 | < 0.001 |
 Phosphate | mg/dL | 0.70 | 0.63–0.77 | < 0.001 |
 BUN | mg/dL | 0.99 | 0.98–0.99 | < 0.001 |
 Cr | mg/dL | 0.67 | 0.63–0.71 | < 0.001 |
 Alkaline phosphatase | U/L | 1.01 | 1.0073–1.0124 | < 0.001 |
 iPTH | pg/dL | 0.999 | 0.9987–0.9997 | 0.004 |
 Cholesterol | mg/dL | 0.99 | 0.99–1.00 | < 0.001 |
 Triglyceride | mg/dL | 0.998 | 0.9969–0.9995 | 0.009 |
 Fasting glucose (AC) | mg/dL | 1.002 | 1.001–1.004 | 0.001 |
Optimal AIC | Â | 1272.75 |