Characteristics of peripheral blood cells are independently related to major adverse cardiovascular events after carotid endarterectomy

[1]  M. E. Kooi,et al.  Association between plaque vulnerability and neutrophil extracellular traps (NETs) levels: The Plaque At RISK study , 2022, PloS one.

[2]  M. Mokry,et al.  Glycophorin C in atherosclerotic plaque is associated with major adverse cardiovascular events after carotid endarterectomy. , 2021, medRxiv.

[3]  S. Massberg,et al.  Interplay between inflammation and thrombosis in cardiovascular pathology , 2021, Nature Reviews Cardiology.

[4]  N. Timmerman,et al.  Protein levels in extracellular vesicles predict high-risk patients for secondary cardiovascular events , 2020 .

[5]  G. Hankey,et al.  Colchicine in Patients with Chronic Coronary Disease. , 2020, The New England journal of medicine.

[6]  G. Roshanaei,et al.  Identification of Factors Affecting Metastatic Gastric Cancer Patients’ Survival Using the Random Survival Forest and Comparison with Cox Regression Model , 2020 .

[7]  M. Sabatine,et al.  2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. , 2019, European heart journal.

[8]  J. V. van Herwaarden,et al.  A single preoperative blood test predicts postoperative sepsis and pneumonia after coronary bypass or open aneurysm surgery , 2019, European journal of clinical investigation.

[9]  T. Leiner,et al.  Routinely measured hematological parameters and prediction of recurrent vascular events in patients with clinically manifest vascular disease , 2018, PloS one.

[10]  Hemant Ishwaran,et al.  Standard errors and confidence intervals for variable importance in random forest regression, classification, and survival , 2018, Statistics in medicine.

[11]  Dara R. Pabittei,et al.  Neutrophil Extracellular Traps Participate in All Different Types of Thrombotic and Haemorrhagic Complications of Coronary Atherosclerosis , 2018, Thrombosis and Haemostasis.

[12]  Hong-Kyu Kim,et al.  Risk of major adverse cardiovascular events in subjects with asymptomatic mild carotid artery stenosis , 2018, Scientific Reports.

[13]  A. Algra,et al.  Prediction models for clinical outcome after a carotid revascularisation procedure: A systematic review , 2017, European stroke journal.

[14]  Frauke Degenhardt,et al.  Evaluation of variable selection methods for random forests and omics data sets , 2017, Briefings Bioinform..

[15]  F. Moll,et al.  Time‐dependent trends in cardiovascular adverse events during follow‐up after carotid or iliofemoral endarterectomy , 2017, British Journal of Surgery.

[16]  S. Gabriel,et al.  Clonal Hematopoiesis and Risk of Atherosclerotic Cardiovascular Disease , 2017, The New England journal of medicine.

[17]  Paul M Ridker,et al.  Residual inflammatory risk: addressing the obverse side of the atherosclerosis prevention coin. , 2016, European heart journal.

[18]  M. Voskuil,et al.  Hematological Parameters Improve Prediction of Mortality and Secondary Adverse Events in Coronary Angiography Patients , 2015, Medicine.

[19]  Yuan-Ting Zhang,et al.  Risk Prediction of One-Year Mortality in Patients with Cardiac Arrhythmias Using Random Survival Forest , 2015, Comput. Math. Methods Medicine.

[20]  P. Libby,et al.  TLR2 and neutrophils potentiate endothelial stress, apoptosis and detachment: implications for superficial erosion. , 2015, European heart journal.

[21]  V. Hérias,et al.  CXCR4 blockade induces atherosclerosis by affecting neutrophil function. , 2014, Journal of molecular and cellular cardiology.

[22]  Y. Solak,et al.  Mean corpuscular volume is associated with endothelial dysfunction and predicts composite cardiovascular events in patients with chronic kidney disease , 2013, Nephrology.

[23]  M. Bots,et al.  Clinical Prediction Rule to Estimate the Absolute 3-Year Risk of Major Cardiovascular Events After Carotid Endarterectomy , 2012, Stroke.

[24]  G. Lippi,et al.  The role of red blood cell distribution width in cardiovascular and thrombotic disorders , 2012, Clinical chemistry and laboratory medicine.

[25]  Oliver Soehnlein,et al.  Multiple roles for neutrophils in atherosclerosis. , 2012, Circulation research.

[26]  D. Wagner,et al.  Neutrophil extracellular traps promote deep vein thrombosis in mice , 2012, Journal of thrombosis and haemostasis : JTH.

[27]  M. Chavent,et al.  ClustOfVar: An R Package for the Clustering of Variables , 2011, 1112.0295.

[28]  F. Moll,et al.  Adipocyte fatty acid binding protein in atherosclerotic plaques is associated with local vulnerability and is predictive for the occurrence of adverse cardiovascular events. , 2011, European heart journal.

[29]  I. Kullo,et al.  Usefulness of red cell distribution width to predict mortality in patients with peripheral artery disease. , 2011, The American journal of cardiology.

[30]  Jean-Baptiste Michel,et al.  Intraplaque haemorrhages as the trigger of plaque vulnerability , 2011, European heart journal.

[31]  J. Hartwig,et al.  Extracellular DNA traps promote thrombosis , 2010, Proceedings of the National Academy of Sciences.

[32]  Wouter Peeters,et al.  Composition of Carotid Atherosclerotic Plaque Is Associated With Cardiovascular Outcome: A Prognostic Study , 2010, Circulation.

[33]  P. Doevendans,et al.  Local Atherosclerotic Plaques Are a Source of Prognostic Biomarkers for Adverse Cardiovascular Events , 2010, Arteriosclerosis, thrombosis, and vascular biology.

[34]  Carolin Strobl,et al.  The behaviour of random forest permutation-based variable importance measures under predictor correlation , 2010, BMC Bioinformatics.

[35]  W. Markiewicz,et al.  Relation between red cell distribution width and clinical outcomes after acute myocardial infarction. , 2010, The American journal of cardiology.

[36]  K. Ley,et al.  Immune and inflammatory mechanisms of atherosclerosis (*). , 2009, Annual review of immunology.

[37]  B. Ovbiagele,et al.  Elevated red blood cell distribution width predicts mortality in persons with known stroke , 2009, Journal of the Neurological Sciences.

[38]  Achim Zeileis,et al.  BMC Bioinformatics BioMed Central Methodology article Conditional variable importance for random forests , 2008 .

[39]  B. Davis,et al.  Relation Between Red Blood Cell Distribution Width and Cardiovascular Event Rate in People With Coronary Disease , 2008, Circulation.

[40]  F. Moll,et al.  Intraobserver and interobserver variability and spatial differences in histologic examination of carotid endarterectomy specimens. , 2007, Journal of vascular surgery.

[41]  L. Jiao,et al.  Correlation Between Carotid Intraplaque Hemorrhage and Clinical Symptoms: Systematic Review of Observational Studies , 2007, Stroke.

[42]  Alan Y. Chiang,et al.  Generalized Additive Models: An Introduction With R , 2007, Technometrics.

[43]  V. Wahn,et al.  Novel cell death program leads to neutrophil extracellular traps , 2007, The Journal of Cell Biology.

[44]  G. Hansson Inflammation, atherosclerosis, and coronary artery disease. , 2005, The New England journal of medicine.

[45]  R. Gillum,et al.  Counts of neutrophils, lymphocytes, and monocytes, cause-specific mortality and coronary heart disease: the NHANES-I epidemiologic follow-up study. , 2005, Annals of epidemiology.

[46]  S. Wood Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models , 2004 .

[47]  W. Hacke,et al.  Leukocyte Count as an Independent Predictor of Recurrent Ischemic Events , 2004, Stroke.

[48]  A. Zychlinsky,et al.  Neutrophil Extracellular Traps Kill Bacteria , 2004, Science.

[49]  P. Libby Inflammation in atherosclerosis , 2002, Nature.

[50]  Kazuo Haze,et al.  Neutrophil Infiltration of Culprit Lesions in Acute Coronary Syndromes , 2002, Circulation.

[51]  T. Mueller,et al.  Erythrocyte Mean Corpuscular Volume Associated with Severity of Peripheral Arterial Disease: An Angiographic Evaluation , 2002, Annals of vascular surgery.

[52]  A. Folsom,et al.  White blood cell count and incidence of coronary heart disease and ischemic stroke and mortality from cardiovascular disease in African-American and White men and women: atherosclerosis risk in communities study. , 2001, American journal of epidemiology.

[53]  C. Snow,et al.  Laboratory diagnosis of vitamin B12 and folate deficiency: a guide for the primary care physician. , 1999, Archives of internal medicine.

[54]  J. Witteman,et al.  Low circulating folate and vitamin B6 concentrations: risk factors for stroke, peripheral vascular disease, and coronary artery disease. European COMAC Group. , 1998, Circulation.

[55]  T P Whitehead,et al.  The effects of cigarette smoking and alcohol consumption on blood haemoglobin, erythrocytes and leucocytes: a dose related study on male subjects. , 1995, Clinical and laboratory haematology.

[56]  F. Fowkes,et al.  The Edinburgh Claudication Questionnaire: an improved version of the WHO/Rose Questionnaire for use in epidemiological surveys. , 1992, Journal of clinical epidemiology.

[57]  J. Mehta,et al.  Increased neutrophil elastase release in unstable angina pectoris and acute myocardial infarction. , 1990, Journal of the American College of Cardiology.

[58]  R. Tibshirani,et al.  Generalized additive models for medical research , 1995, Statistical methods in medical research.

[59]  H S Markus,et al.  Editor's Choice - Management of Atherosclerotic Carotid and Vertebral Artery Disease: 2017 Clinical Practice Guidelines of the European Society for Vascular Surgery (ESVS). , 2018, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[60]  Kellie J. Archer,et al.  Empirical characterization of random forest variable importance measures , 2008, Comput. Stat. Data Anal..

[61]  A. Egberts,et al.  Linking laboratory and medication data: new opportunities for pharmacoepidemiological research , 2007, Clinical chemistry and laboratory medicine.

[62]  G. Pasterkamp,et al.  Athero-express: Differential atherosclerotic plaque expression of mRNA and protein in relation to cardiovascular events and patient characteristics. Rationale and design , 2004, European Journal of Epidemiology.

[63]  Deeb N Salem,et al.  Level of kidney function as a risk factor for atherosclerotic cardiovascular outcomes in the community. , 2003, Journal of the American College of Cardiology.

[64]  J. Witteman,et al.  Low Circulating Folate and Vitamin B 6 Concentrations Risk Factors for Stroke, Peripheral Vascular Disease, and Coronary Artery Disease , 1998 .

[65]  G. A. Rose The diagnosis of ischaemic heart pain and intermittent claudication in field surveys. , 1962, Bulletin of the World Health Organization.