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Relationship between Renal Doppler Indices and Biochemical indices of Renal Function in Type 2 Diabetes Mellitus.
West African Journal of Medicine 2018 September
OBJECTIVES: Diabetic nephropathy is a common complication of diabetes mellitus due to microangiopathy leading to end stage renal disease. This study determined the relationship between renal resistivity index and pulsatility index with biochemical indices of renal function in patients with type 2 diabetes mellitus methods: This study involved 80 adults with type 2 diabetes mellitus. Urinary albumin excretion rate (UAER) and serum creatinine levels were measured, and the estimated glomerular filtration rate (eGFR) was calculated. Right renal resistivity index (RI) and pulsatility index (PI) values were determined.
RESULTS: Mean renal resistivity index was 0.72±0.06 while the pulsatility index was 1.36 ± 0.24. Resistivity index was positively correlated with albuminuria (r = 0.426; p <0.001) and serum creatinine (r = 0.458; p <0.001), but negatively correlated with eGFR (r = -0.399; p <0.001). There was positive correlation between pulsatility index and albuminuria (r = 0.341; p = 0.002), and serum creatinine (r = 0.478; p = <0.001); and negative correlation between PI and eGFR (r = - 0.359; p = 0.001).
CONCLUSIONS: Renal resistivity index and pulsatility index may provide valuable non-invasive estimate of predicting the presence and severity of renal dysfunction in patients with type 2 diabetes.
RESULTS: Mean renal resistivity index was 0.72±0.06 while the pulsatility index was 1.36 ± 0.24. Resistivity index was positively correlated with albuminuria (r = 0.426; p <0.001) and serum creatinine (r = 0.458; p <0.001), but negatively correlated with eGFR (r = -0.399; p <0.001). There was positive correlation between pulsatility index and albuminuria (r = 0.341; p = 0.002), and serum creatinine (r = 0.478; p = <0.001); and negative correlation between PI and eGFR (r = - 0.359; p = 0.001).
CONCLUSIONS: Renal resistivity index and pulsatility index may provide valuable non-invasive estimate of predicting the presence and severity of renal dysfunction in patients with type 2 diabetes.
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