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ORIGINAL ARTICLE
Year : 2018  |  Volume : 22  |  Issue : 1  |  Page : 85-88

Risk factors associated with microalbuminuria in children and adolescents with diabetes in Bangladesh


1 Department of Paediatrics and Changing Diabetes in Children Program, BIRDEM, Bangladesh
2 Department of Paediatrics and Changing Diabetes in Children Program, BIRDEM; Perinatal Care Project, BIRDEM, Dhaka 1000, Bangladesh
3 Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead Sydney, Westmead, NSW, Australia

Correspondence Address:
Bedowra Zabeen
Department of Paediatrics and CDIC BIRDEM Dhaka 1000
Bangladesh
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijem.IJEM_269_17

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Introduction: Diabetic nephropathy is leading cause of morbidity and mortality of type 1 diabetes mellitus (DM). Microalbuminuria is the first clinical sign of nephropathy. Methods: This was a cross-section study with longitudinal evaluation of urinary albumin xcretion in 199 children with type 1 diabetes attending CDiC Clinic in BIRDEM over a period of two years. The aim of the study was to assess the frequency of microalbuminuria and to determine other risk factors. We collected blood and early morning spot urinary sample and analyzed for HbA1c by Clover A1c and urinary microalbumin by a DCA analyzer. Children had urinary microalbumin 30-300 mg/L on at least two occasions were categorized as having persistent microalbuminuria. Demographic and clinical data were recorded including age at onset of diabetes, age during registration, gender and duration of diabetes which were compared between patients without microalbuminuria and with microalbuminuria. Result: Microalbuminuria developed in forty nine children and adolescents (25%). Among them 24% were Type 1, 27% were with Fibrocalculous pancreatic diabetes (FCPD) and 68% were Type 2 diabetes. Median HbA1c was higher 10.8 [9.4-12.4] vs 9.5 [8.0-11.2] (P.006) in adolescents with microalbuminuria. On logistic regression univariate analysis independent predictors of microalbuminuria were older age, systolic blood pressure, BMI SDS and mean HbA1c which remained significant in multivariate analysis as predictors of microalbuminuria. Conclusion: We found high prevalence of microalbuminuria which was associated with higher age, systolic blood pressure, BMI SDS and HbA1c.


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