Table 3.

Mutually exclusive multivariable logistic regression models for 1-year mortality in geriatric proximal femur fractures

Variable	Individual-biomarker model, adjusted OR (95% CI)	p-value	Composite-score model, adjusted OR (95% CI)	p-value
Age, per 1-year increase	1.05 (1.01–1.10)	0.013	1.06 (1.02–1.11)	0.003
Female sex	0.78 (0.43–1.41)	0.410	0.75 (0.41–1.36)	0.342
Hypertension	1.19 (0.65–2.17)	0.574	1.22 (0.67–2.22)	0.519
Diabetes mellitus	1.25 (0.68–2.32)	0.468	1.28 (0.70–2.34)	0.423
Coronary artery disease	1.52 (0.83–2.80)	0.176	1.58 (0.87–2.88)	0.131
Intertrochanteric fracture	1.10 (0.53–2.28)	0.796	1.08 (0.52–2.24)	0.839
Subtrochanteric fracture	0.91 (0.33–2.52)	0.854	0.94 (0.34–2.61)	0.904
Time to surgery, per 12-h delay	1.13 (1.00–1.28)	0.048	1.15 (1.01–1.30)	0.032
NLR, per 1-unit increase	1.10 (1.04–1.16)	0.001	–	–
Albumin, per 1-g/dL increase	0.52 (0.33–0.81)	0.004	–	–
D-dimer, per 500-ng/mL increase	1.09 (1.03–1.15)	0.003	–	–
Composite score, per 1-point increase	–	–	2.82 (1.95–4.08)	< 0.001