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Demographics of subjects with or without albuminuria and diabetic retiopathy.

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https://figshare.com/articles/dataset/_Demographics_of_subjects_with_or_without_albuminuria_and_diabetic_retiopathy_/1030012
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Categorical variables were expressed as numbers (percentage). Continuous variables were expressed as mean ± standard deviation or median (25% and 75%quartile) for non-normally distributed variables. BMI, body mass index; BP, blood pressure; CVD,cardiovascular disease; FPG, fasting plasma glucose; 2hPG, 2-hour postprandial plasma glucose; HbA1c, glycated hemoglobin A1c; HDL, high density lipoprotein; LDL, low density lipoprotein. *P<0.05, **P<0.01 comparison with subgroup of absence of albuminuria or retinopathy using an one-way ANOVA with SNK analysis in regard to quantitative data and a Kruskal-Wallis H for non-normally distributed data.
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2014-05-16
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