Literature DB >> 18784737

Microalbuminuria: do we need a new threshold?

C R Zamora1, L X Cubeddu.   

Abstract

Microalbuminuria (30-300 mg of albumin/24 h) is a well-known independent risk factor for kidney and cardiovascular disease and of mortality in diabetic, hypertensive and in the general population. However, recent studies indicate that increased risk is observed at levels of albuminuria much lower than those currently employed to define microalbuminuria. Such low levels were shown to predict heart disease and death, independent of age, sex, renal function, diabetes, hypertension and lipids, in subjects with cardiovascular disease, hypertension and in the general population; as well as to predict progression to hypertension. Correction of obesity and metabolic derangements lowered levels of albuminuria below 30 mg/24 h to levels not associated with increased risk (5-7 mg/24 h). Despite the lack of outcome studies, there is substantial evidence to indicate that the threshold for defining microalbuminuria (that is, albuminuria associated with increased risk) should be lowered by nearly three to four-fold from the currently defined threshold. It would be advisable that clinical scores and future guidelines would consider including microalbuminuria at the lower rates as an independent risk factor, and as an indication for implementing early intervention. Unfortunately, and despite the abundance of evidence, albuminuria measurements are still underutilized in clinical practice.

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Year:  2008        PMID: 18784737     DOI: 10.1038/jhh.2008.105

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  3 in total

1.  Microalbuminuria in subjects with hypertension attending specialist blood pressure clinics.

Authors:  A A Alharf; S Cleland; J Webster; G T McInnes; S Padmanabhan
Journal:  J Hum Hypertens       Date:  2015-12-17       Impact factor: 3.012

2.  Microalbuminuria is a late event in patients with hypertension: Do we need a lower threshold?

Authors:  Mohamed Abdel Kader Abdel Wahab; Mohamed Mohamed Saad; Khaled Abdel Ghany Baraka
Journal:  J Saudi Heart Assoc       Date:  2015-12-23

3.  Detection of Lower Albuminuria Levels and Early Development of Diabetic Kidney Disease Using an Artificial Intelligence-Based Rule Extraction Approach.

Authors:  Yoichi Hayashi
Journal:  Diagnostics (Basel)       Date:  2019-09-29
  3 in total

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