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Tonnesen PT, Olesen KKW, Thrane PG, Gyldenkerne C, Peters CD, Buus NH, Maeng M. Absence of Coronary Artery Disease is a Strong Negative Predictor of Major Adverse Cardiovascular Events in Patients with Chronic Kidney Disease. Clin Epidemiol 2023; 15:1109-1121. [PMID: 38050604 PMCID: PMC10693773 DOI: 10.2147/clep.s433983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 10/31/2023] [Indexed: 12/06/2023] Open
Abstract
Purpose To investigate the interplay between chronic kidney disease (CKD) and coronary artery disease (CAD) on the incidence of cardiovascular events in patients with suspected chronic coronary syndrome (CCS). Patients and Methods Patients with suspected CCS who underwent first-time coronary angiography in Western Denmark between 2003 and 2016 were included in this cohort study. Moreover, an age- and sex-matched general population cohort was established. Patients were stratified according to estimated glomerular filtration rate (eGFR). Presence of CAD was defined as ≥1 obstructive stenosis or non-obstructive diffuse disease. Major adverse cardiovascular events (MACE) were defined as a composite of myocardial infarction, ischemic stroke, and cardiac death. Results A total of 42,611 patients were included with a median follow-up of 7.3 years. Patients without and with CAD had MACE rates per 100 person-years that were 0.52 and 1.67 for eGFR ≥90 mL/min/1.73 m2, 0.68 and 2.09 for eGFR 60-89 mL/min/1.73 m2, 1.27 and 3.85 for eGFR 30-59 mL/min/1.73 m2, and 2.27 and 6.92 for eGFR <30 mL/min/1.73 m2. Comparing to eGFR ≥90 mL/min/1.73 m2, the adjusted incidence rate ratios for MACE were 1.29 (1.10-1.51) for eGFR 60-89 mL/min/1.73 m2, 1.86 (1.49-2.33) for eGFR 30-59 mL/min/1.73 m2, and 3.57 (1.92-6.67) for eGFR <30 mL/min/1.73 m2 in patients without CAD, and 1.11 (1.03-1.20), 1.71 (1.55-1.90), and 2.46 (1.96-3.09) in patients with CAD. The inverse relationship between kidney function and risk of MACE was confirmed when comparing patients with and without CAD to matched individuals in the general population. Conclusion Absence of CAD is a strong negative predictor of major adverse cardiovascular events in patients with CKD.
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Affiliation(s)
| | | | | | | | - Christian Daugaard Peters
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Niels Henrik Buus
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Michael Maeng
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
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Edfors R, Lindhagen L, Spaak J, Evans M, Andell P, Baron T, Mörtberg J, Rezeli M, Salzinger B, Lundman P, Szummer K, Tornvall P, Wallén HN, Jacobson SH, Kahan T, Marko-Varga G, Erlinge D, James S, Lindahl B, Jernberg T. Use of proteomics to identify biomarkers associated with chronic kidney disease and long-term outcomes in patients with myocardial infarction. J Intern Med 2020; 288:581-592. [PMID: 32638487 DOI: 10.1111/joim.13116] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 04/30/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Patients with chronic kidney disease (CKD) have poor outcomes following myocardial infarction (MI). We performed an untargeted examination of 175 biomarkers to identify those with the strongest association with CKD and to examine the association of those biomarkers with long-term outcomes. METHODS A total of 175 different biomarkers from MI patients enrolled in the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART) registry were analysed either by a multiple reaction monitoring mass spectrometry assay or by a multiplex assay (proximity extension assay). Random forests statistical models were used to assess the predictor importance of biomarkers, CKD and outcomes. RESULTS A total of 1098 MI patients with a median estimated glomerular filtration rate of 85 mL min-1 /1.73 m2 were followed for a median of 3.2 years. The random forests analyses, without and with adjustment for differences in demography, comorbidities and severity of disease, identified six biomarkers (adrenomedullin, TNF receptor-1, adipocyte fatty acid-binding protein-4, TNF-related apoptosis-inducing ligand receptor 2, growth differentiation factor-15 and TNF receptor-2) to be strongly associated with CKD. All six biomarkers were also amongst the 15 strongest predictors for death, and four of them were amongst the strongest predictors of subsequent MI and heart failure hospitalization. CONCLUSION In patients with MI, a proteomic approach could identify six biomarkers that best predicted CKD. These biomarkers were also amongst the most important predictors of long-term outcomes. Thus, these biomarkers indicate underlying mechanisms that may contribute to the poor prognosis seen in patients with MI and CKD.
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Affiliation(s)
- R Edfors
- From the, Department of Clinical Sciences, Division of Cardiovascular Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.,Bayer AB, Solna, Sweden
| | - L Lindhagen
- Uppsala Clinical Research Center, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - J Spaak
- From the, Department of Clinical Sciences, Division of Cardiovascular Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - M Evans
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Renal Medicine, Karolinska Institutet, Stockholm, Sweden
| | - P Andell
- Department of Medicine, Unit of Cardiology, Karolinska Institutet, Stockholm, Sweden
| | - T Baron
- Uppsala Clinical Research Center, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - J Mörtberg
- Department of Clinical Sciences, Division of Renal Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - M Rezeli
- Department of Biomedical Engineering, Lund University, Lund, Sweden
| | - B Salzinger
- Department of Clinical Sciences, Division of Renal Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - P Lundman
- From the, Department of Clinical Sciences, Division of Cardiovascular Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - K Szummer
- Department of Medicine, Unit of Cardiology, Karolinska Institutet, Stockholm, Sweden
| | - P Tornvall
- Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden
| | - H N Wallén
- From the, Department of Clinical Sciences, Division of Cardiovascular Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - S H Jacobson
- Department of Clinical Sciences, Division of Renal Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - T Kahan
- From the, Department of Clinical Sciences, Division of Cardiovascular Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - G Marko-Varga
- Department of Biomedical Engineering, Lund University, Lund, Sweden
| | - D Erlinge
- Department of Cardiology, Clinical Sciences, Lund University, Lund, Sweden
| | - S James
- Uppsala Clinical Research Center, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - B Lindahl
- Uppsala Clinical Research Center, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - T Jernberg
- From the, Department of Clinical Sciences, Division of Cardiovascular Medicine, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
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Gyldenkerne C, Olesen KKW, Thrane PG, Madsen M, Thim T, Würtz M, Jensen LO, Raungaard B, Poulsen PL, Bøtker HE, Maeng M. Diabetes is not a risk factor for myocardial infarction in patients without coronary artery disease: A study from the Western Denmark Heart Registry. Diab Vasc Dis Res 2020; 17:1479164120941809. [PMID: 32722933 PMCID: PMC7510365 DOI: 10.1177/1479164120941809] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Diabetes is considered a risk factor for myocardial infarction. However, we have previously found that diabetes was not a short-term risk factor for myocardial infarction in the absence of obstructive coronary artery disease. METHODS We conducted a cohort study of patients undergoing coronary angiography from 2003 to 2012 and followed them by cross-linking Danish health registries. Patients were stratified according to coronary artery disease and diabetes. Endpoints included myocardial infarction, cardiac death, all-cause death and coronary revascularization. RESULTS 86,202 patients were included in total (diabetes: n = 12,652). Median follow-up was 8.8 years. Using patients with neither coronary artery disease nor diabetes as reference (cumulative myocardial infarction incidence 2.6%), the risk of myocardial infarction was low and not substantially increased for patients with diabetes alone (3.2%; hazard ratio 1.202, 95% confidence interval 0.996-1.451), was increased for patients with coronary artery disease alone (9.3%; hazard ratio 2.75, 95% confidence interval 2.52-3.01) and was highest for patients with both coronary artery disease and diabetes (12.3%; hazard ratio 3.79, 95% confidence interval 3.43-4.20). Similar associations were observed for cardiac death and coronary revascularization. CONCLUSION Diabetes patients without coronary artery disease by coronary angiography have a low risk of myocardial infarction, not substantially increased compared to patients with neither coronary artery disease nor diabetes. In the presence of coronary artery disease, however, diabetes increases the risk of myocardial infarction.
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Affiliation(s)
| | - Kevin KW Olesen
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Pernille G Thrane
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Morten Madsen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark
| | - Troels Thim
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Morten Würtz
- Department of Cardiology, Regional Hospital West Jutland, Herning, Denmark
| | - Lisette O Jensen
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Bent Raungaard
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Per L Poulsen
- Steno Diabetes Center, Aarhus University Hospital, Aarhus, Denmark
| | - Hans E Bøtker
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Michael Maeng
- Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
- Michael Maeng, Department of Cardiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark.
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Haas L, Eckart A, Haubitz S, Mueller B, Schuetz P, Segerer S. Estimated glomerular filtration rate predicts 30-day mortality in medical emergency departments: Results of a prospective multi-national observational study. PLoS One 2020; 15:e0230998. [PMID: 32251482 PMCID: PMC7135226 DOI: 10.1371/journal.pone.0230998] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 03/13/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Renal failure is common in patients seeking help in medical emergency departments. Decreased renal function is associated with increased mortality in patients with heart failure or sepsis. In this study, the association between renal function (reflected by estimated glomerular filtration rate (eGFR) at the time of admission) and clinical outcome was evaluated. METHODS/OBJECTIVES Data was used from a prospective, multi-national, observational cohort of patients treated in three medical emergency departments of tertiary care centers. The eGFR was calculated from the creatinine at the time of admission (using the Chronic Kidney Disease-Epidemiology Collaboration equation,CKD-EPI). Uni- and multivariate regression models were used for eGFR and 30-day mortality, in hospital mortality, length of stay and intensive care unit admission rate. RESULTS 6983 patients were included. The 30-day mortality was 1.8%, 3.5%, 6.9%, 11.1%, 13.6%, and 14.2% in patients with eGFR of above 90, 60-89, 45-59, 30-44, 15-29, and <15 ml/min/1.73m2, respectively. Using multivariate regression, the adjusted odds ratio (OR) was 2.31 (for 15-29 ml/min/1.73m2, 95% confidence interval 1.36 to 3.90, p = 0.002) and 3.73 (for eGFR <15ml/min/1.73m2 as compared to >90 ml/min/1.73m2, 95% CI 2.04 to 6.84, p<0.001). For 10 ml/min/1.73m2 decrease in eGFR the OR for the 30-day mortality was 1.15 (95% CI1.09 to 1.22, p<0.001).The eGFR was also significantly associated with in-hospital mortality, the percentage of ICU-admissions, and with a longer hospital stay. No association was found with hospital readmission within 30 days. As limitations, only eGFR at admission was available and the number of patients on hemodialysis was unknown. CONCLUSION Reduced eGFR at the time of admission is a strong and independent predictor for adverse outcome in this large population of patients admitted to medical emergency departments.
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Affiliation(s)
- Laurent Haas
- Division of Nephrology, Dialysis and Transplantation, University Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland
- * E-mail:
| | - Andreas Eckart
- Division of Nephrology, Dialysis and Transplantation, University Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Sebastian Haubitz
- Division of General Internal and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Beat Mueller
- Division of General Internal and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Philipp Schuetz
- Division of General Internal and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland
| | - Stephan Segerer
- Division of Nephrology, Dialysis and Transplantation, University Department of Medicine, Kantonsspital Aarau, Aarau, Switzerland
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SWEDEHEART-1-year data show no benefit of newer generation drug-eluting stents over bare-metal stents in patients with severe kidney dysfunction following percutaneous coronary intervention. Coron Artery Dis 2019; 31:49-58. [PMID: 31658144 DOI: 10.1097/mca.0000000000000814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND We hypothesized that the transition from bare-metal stents (BMS) to newer generation drug-eluting stents (n-DES) in clinical practice may have reduced the risk also in patients with kidney dysfunction. METHODS Observational study in the national SWEDEHEART registry, that compared the 1-year risk of in-stent restenosis (RS) and stent thrombosis (ST) in all percutaneous coronary intervention treated patients(n = 92 994) during 2007-2013. RESULTS N-DES patients were younger than BMS, but had more often diabetes, previous myocardial infarction, previous revascularization and were more often treated with potent platelet inhibition. N-DES versus BMS, was associated with lower 1-year risk of RS in patients with estimated glomerular filtration rate (eGFR) >60 with a cumulative probability of 2.1% versus 5.3%, adjusted hazard ratio 0.30, 95% CI (0.27-0.34) and with eGFR 30-60: 3.0% versus 4.9%; hazard ratio 0.46 (0.36-0.60) but not in patients with eGFR <30: 8.1% versus 6.0%; hazard ratio 1.32 (0.71-2.45) (pinteraction = 0.009) as well as lower risk of ST for eGFR >60 and eGFR 30-60: 0.5% versus 0.9%; hazard ratio 0.52 (0.40-0.68) and 0.6% versus 1.3%; hazard ratio 0.54 (0.54-0.72) but not for eGFR <30; 2.1% versus 1.1%; hazard ratio 1.49 (0.56-3.98) (pinteraction = 0.027). CONCLUSION N-DES is associated with lower 1-year risk of in-stent restenosis and stent thrombosis in patients with normal or moderately reduced kidney function but not in patients with severe kidney dysfunction, where stenting is associated with worse outcomes regardless of stent type.
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Edfors R, Sahlén A, Szummer K, Renlund H, Evans M, Carrero JJ, Spaak J, James SK, Lagerqvist B, Varenhorst C, Jernberg T. Outcomes in patients treated with ticagrelor versus clopidogrel after acute myocardial infarction stratified by renal function. Heart 2018; 104:1575-1582. [PMID: 29574413 DOI: 10.1136/heartjnl-2017-312436] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Revised: 01/15/2018] [Accepted: 02/03/2018] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVES We aimed to analyse outcomes of ticagrelor and clopidogrel stratified by estimated glomerular filtration rate (eGFR) in a large unselected cohort of patients with acute myocardial infarction (MI). METHODS We used follow-up data in MI survivors discharged on ticagrelor or clopidogrel enrolled in the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies registry. The association between ticagrelor versus clopidogrel and the primary composite outcome of death, MI or stroke and the secondary outcome rehospitalisation with bleeding diagnosis at 1 year, was studied using adjusted Cox proportional hazards models, stratifying after eGFR levels. RESULTS In total, 45 206 patients with MI discharged on clopidogrel (n=33 472) or ticagrelor (n=11 734) were included. The unadjusted 1-year event rate for the composite endpoint of death, MI or stroke was 7.0%, 18.0% and 48.0% for ticagrelor treatment and 11.0%, 33.0% and 64.0% for clopidogrel treatment in patients with eGFR>60 (n=33 668), eGFR30-60 (n=9803) and eGFR<30 (n=1735), respectively. After adjustment, ticagrelor as compared with clopidogrel was associated with a lower 1-year risk of the composite outcome (eGFR>60: HR 0.87, 95% CI 0.76 to 99, eGFR30-60: 0.82 (0.70 to 0.97), eGFR<30: 0.95 (0.69 to 1.29), P for interaction=0.55) and a higher risk of bleeding (eGFR>60: HR 1.10, 95% CI 0.90 to 1.35, eGFR30-60: 1.13 (0.84 to 1.51), eGFR<30: 1.79 (1.00 to 3.21), P for interaction=0.30) across the eGFR strata. CONCLUSIONS Treatment with ticagrelor as compared with clopidogrel in patients with MI was associated with lower risk for the composite of death, MI or stroke and a higher bleeding risk across all strata of eGFR. Of caution, bleeding events were more abundant in patients with eGFR<30.
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Affiliation(s)
- Robert Edfors
- Department of Medicine, Huddinge, Karolinska Institute, Stockholm, Sweden.,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Anders Sahlén
- Department of Medicine, Huddinge, Karolinska Institute, Stockholm, Sweden.,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden.,National Heart Centre, Singapore, Singapore
| | - Karolina Szummer
- Department of Medicine, Huddinge, Karolinska Institute, Stockholm, Sweden.,Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Henrik Renlund
- Department of Medical Sciences, Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Marie Evans
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Division of Renal Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Juan-Jesus Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jonas Spaak
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Stefan K James
- Department of Medical Sciences, Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Bo Lagerqvist
- Department of Medical Sciences, Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Christoph Varenhorst
- Department of Medical Sciences, Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden
| | - Tomas Jernberg
- Department of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden
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