Researchers have introduced an efficient diabetes detection method using a simple mathematical calculation from a blood test, proving its reliability and affordability in a study published in the Journal of Diabetes.
Diabetes frequently goes unnoticed until it has caused organ or nerve damage, partly because early-stage diagnosis is challenging and time-consuming.
An international team of researchers headed by Associate Professor Dr. Johannes Dietrich from the Department of Medicine I of Ruhr University Bochum at St. Josef Hospital in Bochum, Germany, has shown that a mathematical calculation based on just two values taken from a blood sample enables the reliable and inexpensive diagnosis of diabetes at an early stage. The researchers recently published their findings in the Journal of Diabetes.
Diabetes often remains long undetected
“Thirty percent of all people who suffer from diabetes haven’t yet been diagnosed and, consequently, don’t receive any treatment,” points out Johannes Dietrich. This is partly due to the fact that it’s not easy to detect the disease at an early stage. “Diabetes sets in gradually, and our diagnostic options are not sensitive enough to detect it; moreover, they aren’t specific enough, meaning that false positive results can also occur,” stresses Dietrich.
Together with his colleagues from Germany, India, Singapore, and the UK, he has researched a new method for the early detection of diabetes. The method, called SPINA Carb, is based on mathematical modeling. All that is required is a blood sample, which is taken in the morning before the patient’s have their breakfast.
Two values measured in the sample are relevant: the Related
