Statistical analysis
diabetes
RENAL FAILURE, EVENT, REGRESSION, HYPERTENSION, DIABETES
Continuous variables are reported as means ± SD (standard deviations) and differences between groups were analysed using independent samples t-tests. Categorical variables are presented as numbers and percentages, and differences between groups were analysed by the chi-squared test. Missing values are reported, and categorical variables are reported as proportion of non-missing values. Kaplan–Meier curve for composite endpoint-free survival and survival after hospital admission for the first MI or PCI/CABG in the study period was estimated. Cox regression analyses were used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). The regression analyses were adjusted for differences in established risk characteristics (age, gender, renal failure, type of index event, smoking, hypertension, diabetes, and previous MI, use of acetylsalicylic acid at 12 months) and randomization to hospital versus primary care follow-up. A 