PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 11, 2014Diabetes Care184 citationsOpen Access

Microalbuminuria as a Risk Predictor in Diabetes: The Continuing Saga

View Full Paper
GBGeorge L. BakrisMMMark E. Molitch

Key Result

Microalbuminuria (30-299 mg/day) is a risk marker for cardiovascular events and kidney disease development in patients with diabetes, though its presence alone does not indicate established kidney disease.

Key Points

  • To review the pathophysiology and clinical trial evidence regarding microalbuminuria as a risk marker for cardiovascular events and kidney disease progression in patients with diabetes.
  • Searched PubMed for English-language peer-reviewed articles published since 1964.
  • Selected randomized trials, meta-analyses, systematic reviews, and large observational cohort studies with a minimum follow-up of 1 year.
  • Microalbuminuria acts as a risk marker for cardiovascular events and kidney disease progression, though its presence alone does not denote established kidney disease when estimated glomerular filtration rate remains above 60 mL/min/1.73 m².
  • Rising microalbuminuria despite adequate blood pressure and risk factor control signals a worsening long-term renal prognosis.
  • Aggressive glycemic and blood pressure management early in diabetes slows kidney disease onset and lowers cardiovascular risk.

Structured PICO

Is microalbuminuria a risk predictor for cardiovascular events and kidney disease progression in patients with diabetes?

P
Population
Patients with diabetes
I
Intervention
Microalbuminuria (30-299 mg/day) as a risk marker
O
Outcome
Cardiovascular events and kidney disease progressionhard clinical

Microalbuminuria serves as an important marker for cardiovascular disease risk and kidney disease progression in patients with diabetes, warranting regular monitoring.

Abstract

OBJECTIVE The rationale for this study was to review the data on microalbuminuria (MA), an amount of albumin in the urine of 30-299 mg/day, in patients with diabetes in the context of cardiovascular risk and development of kidney disease. The objective was to review the pathophysiology of MA in patients with diabetes and review the data from trials regarding MA in the context of risk for cardiovascular events or kidney disease progression. RESEARCH DESIGN AND METHODS Data sources were all PubMed-referenced articles in English-language peer-reviewed journals since 1964. Studies selected had to have a minimum 1-year follow-up and be either a randomized trial linking MA to cardiovascular or kidney disease outcome, a meta-analysis/systematic review, or a large observational cohort study. RESULTS The data suggest that MA is a risk marker for cardiovascular events and possibly for kidney disease development. Its presence alone, however, does not indicate established kidney disease, especially if the estimated glomerular filtration rate is >60 mL/min/1.73 m(2). An increase in MA, when blood pressure and other risk factors are controlled, portends a poor prognosis for kidney outcomes over time. Early in the course of diabetes, aggressive risk factor management focused on glycemic and blood pressure goals is important to delay kidney disease development and reduce cardiovascular risk. CONCLUSIONS MA is a marker of cardiovascular disease risk and should be monitored per guidelines once or twice a year for progression to macroalbuminuria and kidney disease development, especially if plasma glucose, lipids, and blood pressure are at guideline goals.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bakris et al. (2014) conducted a review in Diabetes. Microalbuminuria was evaluated on Cardiovascular events or kidney disease progression. Microalbuminuria (30-299 mg/day) is a risk marker for cardiovascular events and kidney disease development in patients with diabetes, though its presence alone does not indicate established kidney disease.

synapsesocial.com/papers/6a0e1926feb2455d62c82a87https://doi.org/10.2337/dc13-1870
Ask AI
Helpful
Bookmark
Share
View Full Paper