ArticleScientific reports2017
Microalbuminuria as a simple predictor of incident diabetes over 8 years in the Korean Genome and Epidemiology Study (KoGES).
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.The Cochrane database of systematic reviews · 2018Pooled it
- Microvascular Dysfunction in Patients with Prediabetes: Novel Methods Identify Impaired Microcirculation.Life (Basel, Switzerland) · 2026Article
- Microvascular and Endothelial Dysfunction in Prediabetes.Life (Basel, Switzerland) · 2023Review
- Article
- Microalbuminuria and Hypertension among Immigrants with Type 2 Diabetes: A Community-Based Cross-Sectional Study.Journal of personalized medicine · 2022Article
- Body fat change and 8-year incidence of hypertension: Korean Genome and Epidemiology Study.Journal of clinical hypertension (Greenwich, Conn.) · 2019Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
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Abstract
Microalbuminuria (MAU) is a common subclinical disease and related with cardiovascular outcome both in diabetic and non-diabetic patients. However, there is rare data about the effect of MAU on the development of diabetes. Thus, we aimed to investigate whether MAU is associated with the development of incident diabetes. A total of 3385 subjects without diabetes (1503 men and 1882 women; mean age, 53 years) who participated in the Ansung-Ansan cohort study from 2001-2002 (baseline) to 2011-2012 (fifth follow-up visit) were followed for a mean of 8 years. The prevalence of MAU at baseline was 10.8% (365 patients), and the incidence of newly developed diabetes during the follow-up period was 15.3% (56 patients) in subjects with MAU. The hazard ratio (HR) for development of diabetes was 1.43 (95% confidence interval (CI) 1.07-1.91, p-value 0.016), independent of traditional risk factors for diabetes including pre-diabetes, age, obesity, and family history. The impact of MAU on diabetes was also significant in the non-pre-diabetic population (HR 2.08, 95% CI 1.07-4.03, p-value 0.031). In conclusion, our results show that incident MAU is associated with future development of diabetes and could be an early marker for diabetes, even in the non-prediabetic population.
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