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. 2017 Dec 11;18:522. doi: 10.1186/s12891-017-1892-7

Table 3.

Multivariate analysis of the factors associated with in hospital mortality for proximal humerus fracture among men and women and stratified by type 2 diabetes in Spain. 2001–2013

Men In-hospital mortality (OR)‡ Women In-hospital mortality (OR)‡ Whole study population In-hospital mortality (OR)
Total No T2DM T2DM No T2DM T2DM Men Women
Age groups (years) 65–74 1 1 1 1 1 1
75–79 1.45(0.86–2.43) 1.86(0.69–5.04) 2.07(1.24–3.46) 1.68(0.87–3.25) 1.56(0.98–2.47) 1.92(1.28–2.89)
80–84 1.08(0.60–1.95) 1.67(0.57–4.88) 3.25(1.99–5.31) 2.48(1.30–4.73) 1.19(0.71–2.01) 3.05(2.06–4.52)
85–89 3.73(2.22–6.26) 5.14(1.89–13.98) 5.40(3.31–8.82) 3.43(1.71–6.91) 4.25(2.67–6.78) 4.98(3.34–7.43)
>90 2.80(1.31–5.97) N/A 9.69(5.75–16.35) 7.72(3.72–16.02) 2.56(1.25–5.26) 9.90(6.44–15.21)
Charlson Comorbidity Index 0 1 1 1 1 1 1
1 2.71(1.77–4.15) 2.52(1.0–6.35) 3.51(2.59–4.75) 3.95(2.43–6.44) 2.79(1.90–4.10) 3.70(2.86–4.78)
≥ 2 6.29(3.85–10.28) 5.65(2.10–15.18) 6.7(4.47–10.10) 9.64(5.42–17.17) 6.66(4.30–10.32) 8.26(5.93–11.52)
In-hospital complications No 1 1 1 1 1 1
Yes 11.09(6.96–17.68) 10.10(4.21–24.25) 8.55(6.06–12.06) 6.20(3.68–10.45) 11.70(7.77–17.65) 8.21(6.15–10.96)
Arthroplasty Yes 1 1 1 1 1 1
No 9.36(2.88–30.42) 3.32(0.41–26.58) 3.16(1.81–5.54) 2.40(1.12–5.15) 7.14(2.57–19.83) 2.64(1.68–4.15)
ORIF Yes 1 1 1 1 1 1
No 5.72(2.73–11.96) 1.55(0.58–4.13) 4.51(2.58–7.89) 4.62(1.96–10.88) 3.67(2.07–6.52) 4.12(2.58–6.59)
CRIF Yes 1 1 1 1 1 1
No 2.46(1.45–4.19) 2.63(0.73–9.38) 2.08(1.42–3.04) 2.51(1.35–4.67) 2.44(1.5–3.98) 2.17(1.57–3.01)
Year of discharge 0.95(0.90–0.99) 0.82 (0.73–0.91) 0.93(0.90–0.97) 0.90(0.85–0.97) 0.92(0.88–0.97) 0.93(0.90–0.96)
T2DM status No NA NA NA NA 1 1
Yes NA NA NA NA 0.92(0.60–1.41) 1.67(1.29–2.15)

Arthroplasty: Total or partial humerus replacement, ORIF Open reduction of fracture with internal fixation, CRIF Closed reduction of fracture with internal fixation. Calculated using logistic regression models, Odds Ratio (OR). The logistic regression multivariate model was built using as dependent variables “death (yes/no)” and as independent variables year of discharge. Charlson comorbidity index. Complications. procedures and age