Application of deep learning to predict the low serum albumin in new hemodialysis patients

Nutrition & Metabolism

Table 3 Regression analysis for 3-months albumin mean multivariate logistic (n = 1567)

Characteristics	Comparison	Fully adjusted			GOA feature selection
Characteristics	Comparison	OR	95% CI	P	OR	95% CI	P
Age	Years	1.03	1.01–1.04	< 0.001	1.03	1.02–1.04	< 0.001
Gender	Male v.s Female	1.41	1.00–1.99	0.051	1.48	1.07–2.06	0.018
Comorbidity
Diabetes mellitus	Yes v.s No	0.85	0.59–1.2	0.356
Hypertension	Yes v.s No	1.05	0.70–1.60	0.805	1.01	0.68–1.52	0.965
Heart Failure	Yes v.s No	1.05	0.74–1.49	0.778
Cancer	Yes v.s No	1.14	0.84–1.56	0.389
Laboratory measurements
Hb	g/dL	0.85	0.74–0.96	0.012	0.83	0.73–0.95	0.006
Fe	ug/dL	0.99	0.98–0.99	< 0.001	0.99	0.98–0.99	< 0.001
Ferritin	ug/dL	1.001	1.0003–1.0010	< 0.001	1.001	1.0004–1.0011	< 0.001
Na	mEq/L	0.94	0.90–0.98	0.005	0.94	0.90–0.98	0.005
K	mEq/L	0.79	0.62–0.99	0.045	0.79	0.64–0.98	0.037
Ca	mg/dL	0.71	0.59–0.86	0.001	0.72	0.59–0.86	0.001
Phosphate	mg/dL	0.99	0.87–1.13	0.873
BUN	mg/dL	1.00	0.99–1.01	0.951
Cr	mg/dL	0.77	0.71–0.84	< 0.001	0.77	0.71–0.83	< 0.001
Alkaline phosphatase	U/L	1.01	1.00–1.01	< 0.001	1.01	1.00–1.01	< 0.001
iPTH	pg/dL	1.00	0.9994–1.0005	0.951
Cholesterol	mg/dL	0.997	0.99–1.00	0.259
Triglyceride	mg/dL	0.999	0.9971–1.0003	0.133	0.998	0.9968–0.9998	0.030
Fasting glucose (AC)	mg/dL	1.00	0.9981–1.0022	0.885
Optimal AIC		1173.52			1160.71

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