| Literature DB >> 24595192 |
Martin Holzmann1, Tomas Jernberg, Karolina Szummer, Ulrik Sartipy.
Abstract
BACKGROUND: Patients with chronic kidney disease have an increased risk of death after myocardial infarction, coronary artery bypass graft surgery (CABG), and percutaneous coronary intervention. We sought to describe the association between chronic kidney disease and long-term cardiovascular outcomes and death in patients who underwent CABG for acute coronary syndromes. METHODS ANDEntities:
Keywords: CABG; acute coronary syndromes; cardiovascular outcomes; chronic kidney disease
Mesh:
Substances:
Year: 2014 PMID: 24595192 PMCID: PMC4187499 DOI: 10.1161/JAHA.113.000707
Source DB: PubMed Journal: J Am Heart Assoc ISSN: 2047-9980 Impact factor: 5.501
Figure 1.Selection criteria for the study population consisting of 12 956 patients undergoing primary coronary artery bypass graft surgery (CABG) for acute coronary syndromes in Sweden between 2000 and 2008. eGFR indicates estimated glomerular filtration rate.
Characteristics of the Study Population in Relation to Glomerular Filtration Rates Estimated by Using the MDRD Study Equation
| All Patients | Estimated GFR, mL/min per 1.73 m2 | |||
|---|---|---|---|---|
| >60 | 45 to 60 | 15 to 45 | ||
| No. of patients | 12 956 | 10 252 | 2041 | 663 |
| Percent of study population | 100 | 79 | 16 | 5 |
| Age, y | 67.5 (9.6) | 66.1 (9.5) | 72.3 (7.8) | 73.3 (8.2) |
| Female sex, % | 23 | 19 | 35 | 44 |
| Estimated GFR (mL/min per 1.73 m2), MDRD | 77 (21) | 84 (17) | 54 (4) | 37 (6) |
| Estimated GFR (mL/min per 1.73 m2), CKD‐EPI | 73 (18) | 80 (13) | 51 (5) | 35 (6) |
| Serum creatinine, μmol/L | 92 (25) | 83 (15) | 113 (15) | 157 (40) |
| Serum creatinine, mg/dL | 1.0 (0.3) | 0.9 (0.2) | 1.3 (0.2) | 1.8 (0.5) |
| EuroSCORE | 4.4 (2.6) | 4.1 (2.5) | 5.6 (2.4) | 6.5 (2.6) |
| Diabetes mellitus, % | 23 | 21 | 27 | 37 |
| Atrial fibrillation, % | 25 | 23 | 33 | 32 |
| Hypertension, % | 54 | 52 | 64 | 74 |
| Hyperlipidemia, % | 54 | 52 | 56 | 73 |
| Peripheral vascular disease, % | 8 | 7 | 11 | 19 |
| Current smoking, % | 20 | 21 | 14 | 15 |
| COPD, % | 6 | 6 | 7 | 9 |
| Prior myocardial infarction, % | 56 | 54 | 60 | 65 |
| Prior heart failure, % | 3 | 2 | 6 | 10 |
| Prior stroke, % | 5 | 4 | 6 | 13 |
| Left ventricular function | ||||
| Ejection fraction >50% (%) | 67 | 69 | 62 | 51 |
| Ejection fraction 30% to 50% (%) | 29 | 28 | 33 | 44 |
| Ejection fraction <30% (%) | 3 | 3 | 5 | 5 |
| Internal thoracic artery use, % | 95 | 95 | 94 | 93 |
| CABG without cardiopulmonary bypass, % | 5 | 4 | 5 | 6 |
Age, GFR, creatinine values, and EuroSCORE (European System for Cardiac Operative Risk Evaluation) are given as means with SDs. Acute kidney injury was defined as >0.3 mg/dL (26 μmol/L) increase in postoperative creatinine values. CABG indicates coronary artery bypass grafting; CKD EPI, Chronic Kidney Disease Epidemiology Collaboration; COPD, chronic obstructive pulmonary disease; GFR, glomerular filtration rate; MDRD, Modification of Diet in Renal Disease. Age, eGFR, serum creatinine, and EuroSCORE is given with standard deviations in parantheses.
Hazard Ratios and 95% CIs for the Primary and Secondary Outcomes in Relation to Preoperative Glomerular Filtration Rate Estimated by Using the MDRD Equation in 12 956 Patients Undergoing CABG for Acute Coronary Syndromes Between 2000 and 2008 in Sweden
| Estimated GFR, mL/min per 1.73 m2 | |||||
|---|---|---|---|---|---|
| >60 | 45 to 60 | 45 to 15 | |||
| No. of patients, % | 10 252 (79) | 2041 (16) | 663 (5) | ||
| Death or rehospitalization | |||||
| No. of events, % | 2896 (28) | 882 (43) | 407 (61) | ||
| Crude | 1.00 | 1.50 (1.39 to 1.62) | <0.001 | 2.49 (2.24 to 2.76) | <0.001 |
| Adjustment for age and sex | 1.00 | 1.20 (1.11 to 1.29) | <0.001 | 1.88 (1.68 to 2.09) | <0.001 |
| Multivariable adjustment | 1.00 | 1.08 (1.00 to 1.17) | 0.044 | 1.47 (1.32 to 1.64) | <0.001 |
| Multivariable adjustment | 1.00 | 1.07 (0.98 to 1.15) | 0.117 | 1.36 (1.22 to 1.53) | <0.001 |
| Rehospitalization for myocardial infarction, heart failure, or stroke | |||||
| No. of events (%) | 2005 (20) | 588 (29) | 251 (38) | ||
| Crude | 1.00 | 1.46 (1.33 to 1.60) | <0.001 | 2.15 (1.89 to 2.46) | <0.001 |
| Adjustment for age and sex | 1.00 | 1.23 (1.12 to 1.35) | <0.001 | 1.74 (1.52 to 2.00) | <0.001 |
| Multivariable adjustment | 1.00 | 1.10 (1.00 to 1.21) | 0.062 | 1.33 (1.16 to 1.53) | <0.001 |
| Multivariable adjustment | 1.00 | 1.08 (0.98 to 1.19) | 0.130 | 1.24 (1.08 to 1.43) | 0.003 |
MDRD indicates Modification of Diet in Renal Disease; AKI, acute kidney injury; CABG, coronary artery bypass graft surgery; GFR, glomerular filtration rate.
Reference category.
Multivariable adjustment was made for age, sex, diabetes, chronic obstructive pulmonary disease, peripheral vascular disease, left ventricular ejection fraction, atrial fibrillation, prior myocardial infarction, prior heart failure, and history of stroke.
Figure 2.Unadjusted cumulative incidence of death or first rehospitalization for myocardial infarction, heart failure, or stroke in 12 956 patients following coronary artery bypass graft surgery for acute coronary syndromes in Sweden between 2000 and 2008. eGFR indicates estimated glomerular filtration rate.
Figure 3.Unadjusted cumulative incidence of first rehospitalization for myocardial infarction, heart failure, or stroke in 12 956 patients following coronary artery bypass graft surgery for acute coronary syndromes in Sweden between 2000 and 2008. eGFR indicates estimated glomerular filtration rate.
Figure 4.The graph shows the adjusted hazard ratio and 95% CI for the association between estimated glomerular filtration rates (GFR) and death or rehospitalization for cardiovascular events. Estimated GFR was modeled by restricted cubic splines with 4 knots (at 44, 67, 83, and 113) in a Cox regression model. The reference level was set at 90 mL/min per 1.73 m2 for the estimation of hazard ratios. The Cox model was adjusted for age, sex, diabetes, chronic obstructive pulmonary disease, peripheral vascular disease, left ventricular ejection fraction, atrial fibrillation, prior myocardial infarction, prior heart failure, history of stroke, and acute kidney injury classified according to the Acute Kidney Injury Network (AKIN) criteria.