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Table 5 Multivariable logistic regression analysis of factors associated with in hospital mortality among diabetic patients with hemorrhagic stroke according to sex

From: Sex-related disparities in the incidence and outcomes of hemorrhagic stroke among type 2 diabetes patients: a propensity score matching analysis using the Spanish National Hospital Discharge Database for the period 2016–18

Variables Male Female Both
OR (95% CI) OR (95% CI) OR (95% CI)
35-49 years 1 1 1
50-64 years NS NS NS
65-79 years 2.16 (1.32–3.48) 1.97 (1.02–4.29) 2.01 (1.34–3.02)
 ≥ 80 years 3.88 (2.69–6.12) 3.62 (1.67–7.91) 3.69 (2.47–5.52)
Renal disease 1.60 (1.39–191) NS 1.40 (1.25–1.60)
Dementia 1.66 (1.30–2.25) NS 1.34 (1.09–1.54)
Sepsis 3.81 (243–5.82) 3.13 (1.65–5.92) 3.62 (2.51–5.13)
Use of oral anticoagulants 1.52 (1.32–1.74) 1.54 (1.31–1.77) 1.53 (1.35–1.70)
Use of antiplatelet agents 1.23 (1.01–1.44) 1.27 (1.02–154) 1.25 (1.05–1.38)
Mechanical ventilation 12.64 (10.55–15.10) 9.53 (7.40–12.25) 11.60 (9.99–13.41)
Decompressive craniectomy 0.27 (0.19–0.36) 0.34 (0.22–0.57) 0.30 (0.24–0.39)
Female sex NA NA 1.18 (1.07–1.29)
  1. T2DM type 2 diabetes mellitus, NA not available, NS not significant
  2. In Additional file 1: Tables 2 are shown the crude models to analyze bivariate associations of study variables with IHM. All variables with significant associations in this table were included in the corresponding multivariable models. Only variables with significant results in the multivariable regression in any of the three models are shown in the table