Table 2. Multivariate analysis of the factors associated with cumulative incidence and in-hospital mortality after acute myocardial infarction in patients with and without type 2 diabetes in Spain, 2001–2010.
With Type 2 Diabetes | Without Diabetes | ||||
Incidence (IRR)* | IHM (OR)† | Incidence (IRR)* | IHM (OR)† | ||
Age (years) | 35–60 years | 1 | 1 | 1 | 1 |
61–70 years | 1.32 (1.30–1.34) | 1.97 (1.82–2.13) | 1.58 (1.54–1.61) | 2.05 (1.95–2.16) | |
71–80 years | 2.11 (2.07–2.14) | 3.46 (3.23–3.71) | 1.23 (1.21–1.25) | 3.99 (3.82–4.17) | |
>80 years | 1.21 (1.19–1.22) | 5.84 (5.45–6.30) | 1.72 (1.69–1.75) | 7.79 (7.46–8.15) | |
Sex | Men | 1 | 1 | 1 | 1 |
Female | 0.65 (0.64–0.66) | 1.28 (1.24–1.32) | 0.37 (0.36–0.38) | 1.28 (1.25–1.32) | |
Charlson Index | 0 | 1 | 1 | 1 | 1 |
1–2 | 0.82 (0.81–0.83) | 1.88 (1.82–1.95) | 0.51 (0.50–0.53) | 1.88 (1.83–1.92) | |
≥3 | 0.20 (0.19–0.21) | 2.64 (2.52–2.78) | 0.09 (0.08–0.10) | 2.76 (2.64–2.87) | |
Year | 2001 | 0.75 (0.73–0.76) | 1 | 0.93(0.92–0.95) | 1 |
2002 | 0.84(0.83–0.86) | 1.03 (0.95–1.10) | 1.01(0.99–1.02) | 0.89 (0.85–0.94) | |
2003 | 0.97(0.95–0.99) | 0.90 (0.84–0.97) | 1.00(0.99–1.02) | 0.86 (0.82–0.90) | |
2004 | 1 | 0.81 (0.76–0.87) | 1 | 0.80 (0.76–0.84) | |
2005 | 1.01(0.99–1.03) | 0.82 (0.77–0.89) | 0.99(0.97–1.00) | 0.73 (0.70–0.77) | |
2006 | 0.96(0.94–0.98) | 0.76 (0.71–0.82) | 0.97(0.96–0.98) | 0.68 (0.65–0.72) | |
2007 | 0.98(0.96–1.00) | 0.73 (0.68–0.79) | 0.97(0.96–0.98) | 0.67 (0.64–0.71) | |
2008 | 0.98(0.97–1.01) | 0.69 (0.64–0.74) | 0.98(0.96–0.99) | 0.65 (0.62–0.68) | |
2009 | 0.99(0.98–1.02) | 0.63 (0.58–0.68) | 0.97(0.95–0.98) | 0.61 (0.58–0.65) | |
2010 | 0.98 (0.96–1.01) | 0.63 (0.58–0.68) | 0.96(0.94–0.97) | 0.61 (0.58–0.64) | |
PCI | Yes | 1 | 1 | ||
No | 2,44 (2,32–2,56) | 2,56 (2,42–2,66) |
IHM: In-Hospital Mortality. PCI: Percutaneous Coronary Intervention.
Calculated using multivariate Poisson regression: Incidence Rate Ratios (IRR).
Calculate using logistic regression models: Odds Ratio (OR).
The logistic regression multivariate model and Poisson regression model were built using as dependent variables “death (yes/no)” and “Cumulative incidence of PCI” respectively, and as independent variables year, sex, Charlson comorbidity index, and age.