What is Microalbumin Random?
The Microalbumin Random test detects the smallest levels of a protein called albumin in the urine. A microalbumin test is used to detect early signs of kidney damage in people who are at risk of developing kidney disease.
Healthy kidneys filter waste from your blood, but kidney damage can cause proteins to leak through your kidneys and exit your body through urine. Albumin is one of the first proteins to leak when kidneys become damaged.
This test is recommended for those patients who are at increased risk of kidney diseases such as patients with type 1 and 2 diabetes, or high blood pressure.
Severity of the kidney disease is indicated by the level of albumin detected in the urine.
Why is Microalbumin Random done?
The Microalbumin Random test is done:
To detect early kidney disease in those with diabetes or other risk factors, such as high blood pressure (hypertension)
As routine health checkup for patients of hypertension and type 1 or 2 diabetes
What does Microalbumin Random Measure?
The Microalbumin Random test measures the presence of very small levels of albumin in the urine. This test helps to detect early signs of kidney damage in those people who are at the risk of developing kidney disease.
The healthy kidneys filter waste from the blood and keep the healthy components such as albumin. In case of kidney damage, albumin can leak through the kidneys and exit the body through urine.
When there is damage to the kidneys, albumin is one of the first proteins to leak through the kidney. This test is recommended in those patients who are at increased risk of kidney disease or damage such as patients with type 1 diabetes, type 2 diabetes, or high blood pressure.
Interpreting Microalbumin Random results
Both microalbumin and creatinine levels are checked.
The results are interpreted as microalbumin: creatinine ratio in mg/g
Reference range in mg/g creatinine
Normal / Non-diabetic
30 - 300
Reference range may vary from lab to lab*
Three samples should be collected within 3-6 months, from which at least two should be abnormal to consider for diagnosis.