Literature DB >> 19804307

Albuminuria: pathophysiology, epidemiology and clinical relevance of an emerging marker for cardiovascular disease.

Martin Thoenes1, Peter Bramlage, Bobby V Khan, Bernhard Schieffer, Wilhelm Kirch, Matthew R Weir.   

Abstract

Albuminuria has emerged from being a sign of early kidney disease in diabetes to an independent predictor of cardiovascular risk. Epidemiological studies suggest that microalbuminuria (30-300 mg/d) is present in 5-19% of the general population, in up to 23% of patients with hypertension and in up to 40% of patients with diabetes. Recent data suggest an even higher prevalence in certain patient populations. As it is associated with a variety of important cardiovascular risk factors, including prediabetes, dyslipidemia and the metabolic syndrome, detection of albumin in the urine represents an important diagnostic window for systemic micro- or macrovascular damage. Various studies have demonstrated the predictive value of all levels of albuminuria for future cardiovascular events in patients with diabetes, hypertension or overt cardiovascular disease, as well as in the general population. Annual screening for microalbuminuria is now recommended by international diabetes guidelines for patients with diabetes, and may be appropriate for nondiabetics with risk factors for cardiovascular disease.

Entities:  

Year:  2007        PMID: 19804307     DOI: 10.2217/14796678.3.5.519

Source DB:  PubMed          Journal:  Future Cardiol        ISSN: 1479-6678


  9 in total

1.  Microalbuminuria in Obese Young and Middle Aged Population: A Potential Marker of Cardiovascular Risk.

Authors:  Purvi Purohit; Kunal Garg; Vikram Singh; Shailendra Dwivedi; Praveen Sharma
Journal:  Indian J Clin Biochem       Date:  2016-04-01

2.  Indoor air pollution and its association with poor lung function, microalbuminuria and variations in blood pressure among kitchen workers in India: a cross-sectional study.

Authors:  Amarnath Singh; Chandrasekharan Nair Kesavachandran; Ritul Kamal; Vipin Bihari; Afzal Ansari; Parappurath Abdul Azeez; Prem Narain Saxena; Anil Kumar Ks; Altaf Hussain Khan
Journal:  Environ Health       Date:  2017-04-04       Impact factor: 5.984

3.  Microalbuminuria as a simple predictor of incident diabetes over 8 years in the Korean Genome and Epidemiology Study (KoGES).

Authors:  Dong-Hyuk Jung; Young-Sup Byun; Yu-Jin Kwon; Gwang-Sil Kim
Journal:  Sci Rep       Date:  2017-11-13       Impact factor: 4.379

4.  Development of a Risk Model for Predicting Microalbuminuria in the Chinese Population Using Machine Learning Algorithms.

Authors:  Wei Lin; Songchang Shi; Huibin Huang; Nengying Wang; Junping Wen; Gang Chen
Journal:  Front Med (Lausanne)       Date:  2022-02-07

5.  Systemic Immune-Inflammation Index Is Associated With Increased Urinary Albumin Excretion: A Population-Based Study.

Authors:  Zheng Qin; Hancong Li; Liya Wang; Jiwen Geng; Qinbo Yang; Baihai Su; Ruoxi Liao
Journal:  Front Immunol       Date:  2022-03-21       Impact factor: 7.561

6.  Abdominal obesity is associated with microalbuminuria and an elevated cardiovascular risk profile in patients with hypertension.

Authors:  Martin Thoenes; Jan-Christian Reil; Bobby Varkey Khan; Peter Bramlage; Massimo Volpe; Wilhelm Kirch; Michael Böhm
Journal:  Vasc Health Risk Manag       Date:  2009-07-14

7.  Urinary albumin excretion and prevalence of microalbuminuria in a general Chinese population: a cross-sectional study.

Authors:  Liuxia Yan; Jixiang Ma; Xiaolei Guo; Junli Tang; Jiyu Zhang; Zilong Lu; Huicheng Wang; Xiaoning Cai; Linhong Wang
Journal:  BMC Nephrol       Date:  2014-10-13       Impact factor: 2.388

8.  Clustering of cardiovascular risk factors in semi-urban communities in south-western Nigeria.

Authors:  R Oluyombo; P O Akinwusi; M O Olamoyegun; O E Ayodele; M B Fawale; O O Okunola; T O Olanrewaju; A Akinsola
Journal:  Cardiovasc J Afr       Date:  2016-06-10       Impact factor: 1.167

9.  Association of microalbuminuria and high-normal 24-hour urinary albumin excretion with metabolic syndrome and its components in the general Chinese population: cross-sectional study.

Authors:  Jianwei Xu; Jixiang Ma; Xiaorong Chen; Liuxia Yan; Xiaoning Cai; Xiaolei Guo; Yongqing Zhang; Jing Wu
Journal:  BMJ Open       Date:  2019-11-10       Impact factor: 2.692

  9 in total

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