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The registry and the merging of registries were approved by the National Board of Health and Welfare, and the local ethics committee at Uppsala University. Continuous baseline characteristics are summarized by mean and standard deviation (SD) or by median with interquartile range (IQR). Categorical variables were analysed using the chi-squared test and continuous variables using the Kruskal�CWallis test. Logistic regression models were used to assess the association between renal function stage and in-hospital therapies in patients �� 80?years. The following therapies were examined: intravenous/oral beta-blocker, anticoagulant (intravenous heparin/subcutaneous low molecular weight heparin) and revascularization [percutaneous coronary intervention (PCI)/coronary artery by-pass grafting (CABG)] within http://www.selleckchem.com/products/dabrafenib-gsk2118436.html fourteen days of admission in non-ST-elevation MI (NSTEMI) patients, reperfusion http://www.selleckchem.com/products/sch772984.html therapy (fibrinolysis/primary PCI) and type of reperfusion (fibrinolysis or primary PCI) in patients with ST-elevation MI (STEMI). Adjustments were made for the following 25 variables: age (as a second degree polynomial), gender, hypertension, diabetes, prior heart failure, prior MI, prior CABG, prior PCI, known chronic obstructive pulmonary disease, known dementia, peripheral vascular disease, cancer diagnosis within last 3?years, prior stroke, chest pain on admission, Killip class on admission, ST-elevation/left-bundle branch block on admission, and prior medication (aspirin, thienopyridine, warfarin, lipid-lowering drug, angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker, beta-blocker, calcium-antagonist, digoxin, diuretic). A logistic regression model was used to examine the association between renal function stage and in-hospital complications in all patients. Adjustments were made for the same variables which were used in the model to assess in-hospital therapies. Renal function with eGFR as a continuous variable and interaction terms for gender, diabetes and Killip class were tested in the mortality model. To reduce the possibility of bias due to missing values, a sensitivity analysis was performed in the models assessing outcomes. Independent dichotomous variables were coded as yes, no or missing. The number of patients excluded due to missing variables in the multivariable outcome models varied: reinfarction 11.3% (n?=?6327), ventricular tachycardia/fibrillation/cardiac http://www.selleck.cn/products/ly2157299.html arrest 11.3% (n?=?10?252), atrial fibrillation 11.0% (n?=?6169), in-hospital heart failure 11.7% (n?=?6682), bleeding 6.6% (n?=?2826) and mortality 11.7% (n?=?6746). All analyses were performed with SPSS version 15. The authors had full access to the data and take responsibility for its integrity. All authors have read and agree to the manuscript as written. The mean eGFR was 72 (SD 28) mL?min?1/1.73?m2 (excluding dialysis patients). One third (33%) had at least moderate (eGFR?