Literature DB >> 11192357

Renal disease as a risk factor for cardiovascular disease.

F C Luft1.   

Abstract

Cardiovascular disease is the major cause of death in patients with end-stage renal disease (ESRD). ESRD patients are almost invariably hypertensive. They all have acquired combined hyperlipidemia and increased Lp(a), hyperhomocysteinemia, decreased physical activity, psychosocial stress, insulin resistance, procoagulant factors, left ventricular hypertrophy, and increased oxidative stress. Diabetes mellitus, a major risk factor for both cardiovascular disease and ESRD, has become the commonest cause of ESRD. If ESRD patients choose to smoke, the additive risk is profound. Moreover, ESRD patients are becoming older and are often menopausal if female. Finally, ESRD patients have a dramatic tendency for vascular and cardiac calcification, probably related to hyperphosphatemia and hyperparathyroidism. Cardiovascular disease is also a major risk in patients with decreased renal function of nearly any degree. Data from the HDFP study showed that patients with a serum creatinine concentration > 1.5 mg/dl had a profoundly higher risk of cardiovascular disease than patients with creatinine values below this value. These data were recently corroborated in the HOPE study. Microalbuminuria (MAU), with or without diabetes mellitus, indicates increased cardiovascular disease risk even without decreases in glomerular filtration rate. We found earlier that nondiabetic hypertensive patients with MAU had much higher rates of myocardial infarction, stroke, and peripheral vascular disease, than similar hypertensive patients without MAU. In conclusion, the presence of decreased renal function or MAU is a major cardiovascular risk factor. ESRD can be regarded as a catastrophic risk factor. Prophylactic measures known to be effective in reducing the risk from cardiovascular disease are grossly underused. Unfortunately, they are less effective in patients with renal disease, and new strategies are needed.

Entities:  

Mesh:

Year:  2000        PMID: 11192357     DOI: 10.1007/s003950070013

Source DB:  PubMed          Journal:  Basic Res Cardiol        ISSN: 0300-8428            Impact factor:   17.165


  13 in total

1.  Response and outcomes of cardiac resynchronization therapy in patients with renal dysfunction.

Authors:  Rita Ilhão Moreira; Pedro Silva Cunha; Pedro Rio; Manuel Nogueira da Silva; Luísa Moura Branco; Ana Galrinho; Joana Feliciano; Rui Soares; Rui Cruz Ferreira; Mário Martins Oliveira
Journal:  J Interv Card Electrophysiol       Date:  2018-02-19       Impact factor: 1.900

2.  The prognostic value of serum creatinine on admission in fibrinolytic-eligible patients with acute myocardial infarction.

Authors:  Hans-Peter Hobbach; C Michael Gibson; Robert P Giugliano; Julia Hundertmark; Christel Schaeffer; Wassillij Tscherleniak; Peter Schuster
Journal:  J Thromb Thrombolysis       Date:  2003-12       Impact factor: 2.300

3.  Renal function at the time of a myocardial infarction maintains prognostic value for more than 10 years.

Authors:  Thomas Kümler; Gunnar H Gislason; Lars Kober; Finn Gustafsson; Morten Schou; Christian Torp-Pedersen
Journal:  BMC Cardiovasc Disord       Date:  2011-06-27       Impact factor: 2.298

4.  Gender difference in the prognostic value of estimated glomerular filtration rate at admission in ST-segment elevation myocardial infarction: a prospective cohort study.

Authors:  Peter Damman; Wouter J Kikkert; Pier Woudstra; Wichert J Kuijt; Maik J D Grundeken; Ralf E Harskamp; Jan Baan; Marije M Vis; Jose P S Henriques; Jan J Piek; Jan P van Straalen; Johan C Fischer; Jan G P Tijssen; Robbert J de Winter
Journal:  BMJ Open       Date:  2012-03-02       Impact factor: 2.692

5.  Concomitant renal insufficiency and diabetes mellitus as prognostic factors for acute myocardial infarction.

Authors:  Chang Seong Kim; Joon Seok Choi; Jeong Woo Park; Eun Hui Bae; Seong Kwon Ma; Myung Ho Jeong; Young Jo Kim; Myeong Chan Cho; Chong Jin Kim; Soo Wan Kim
Journal:  Cardiovasc Diabetol       Date:  2011-10-31       Impact factor: 9.951

6.  Comparison of outcome in 1809 patients treated with drug-eluting stents or bare-metal stents in a real-world setting.

Authors:  Alexander Vogt; Anke Schoelmerich; Franziska Pollner; Manuela Schlitt; Uwe Raaz; Lars Maegdefessel; Iris Reindl; Michael Buerke; Karl Werdan; Axel Schlitt
Journal:  Vasc Health Risk Manag       Date:  2011-11-22

7.  Combined Usefulness of the Platelet-to-Lymphocyte Ratio and the Neutrophil-to-Lymphocyte Ratio in Predicting the Long-Term Adverse Events in Patients Who Have Undergone Percutaneous Coronary Intervention with a Drug-Eluting Stent.

Authors:  Kyoung Im Cho; Soe Hee Ann; Gillian Balbir Singh; Ae-Young Her; Eun-Seok Shin
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

8.  Association of chronic renal insufficiency with in-hospital outcomes after percutaneous coronary intervention.

Authors:  Tanush Gupta; Neha Paul; Dhaval Kolte; Prakash Harikrishnan; Sahil Khera; Wilbert S Aronow; Marjan Mujib; Chandrasekar Palaniswamy; Sachin Sule; Diwakar Jain; Ali Ahmed; Howard A Cooper; William H Frishman; Deepak L Bhatt; Gregg C Fonarow; Julio A Panza
Journal:  J Am Heart Assoc       Date:  2015-06-16       Impact factor: 5.501

9.  Combined value of left ventricular ejection fraction and the Model for End-Stage Liver Disease (MELD) score for predicting mortality in patients with acute coronary syndrome who were undergoing percutaneous coronary intervention.

Authors:  Tuncay Kırıs; Eyüp Avcı; Aykan Çelik
Journal:  BMC Cardiovasc Disord       Date:  2018-03-02       Impact factor: 2.298

10.  Relation between mild to moderate chronic kidney disease and coronary artery disease determined with coronary CT angiography.

Authors:  Ivo A Joosen; Frank Schiphof; Mathijs O Versteylen; Eduard M Laufer; Mark H Winkens; Patricia J Nelemans; Jeroen P Kooman; Leonard Hofstra; Joachim E Wildberger; Tim Leiner
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.