A New Tool can Tell which Diabetes Patients are at A Risk of Low Blood Sugar Emergencies

A New Tool Can Tell Which Diabetes Patients Are At A Risk Of Low Blood Sugar Emergencies

Diabetes is one of the commonly seen disorder globally. Many studies are being conducted on regular basis to find the potential solution which can cure this disease. A similar research study is conducted by the group of researchers and they have found a potential tool which can identify the diabetes patients which are at high risk of being admitted due to low blood sugar emergencies.

The newly developed tool can efficiently predict the conditions such as hypoglycemia in which the patient has low blood sugar. This tool was developed by Kaiser Permanente and his team and their research study is published in the journal JAMA Internal Medicine. Advancement in the medical field like improved treatment options can reduce the adverse impact of the disease and can control the number of deaths.

The person suffering from diabetes can fall into an emergency situation anytime as the changes in blood sugar levels can either increase or decrease their blood sugar level. The changes in blood sugar levels can lead to accidents, heart disorders, and fetal death. The condition of hypoglycemia can be effectively treated with this tool and will be helpful to the people which are at high risk of low blood sugar emergencies.

In the United States, every year more than 100,000 people are admitted to the emergency rooms due to Hypoglycemia and this condition is even worsening further. The people having a family history of diabetes will largely suffer from this condition. The newly designed tool is based on machine learning algorithm which can tell the hypoglycemia-related emergencies.

During the study, the researchers considered 156 risk factors of hypoglycemia and collected the data of 200,000 people who were suffering from this condition. Different factors like number of hypoglycemia-related emergencies, number of hospital visits in a year and age. The diabetes patients were then categorized into certain groups like high, intermediate and low emergency condition group.

The usage of this tool was approved by 1.3 million members of the U.S. Veterans Health Administration and about 15,000 Kaiser Permanente members from Washington who were suffering from hypoglycemia. It will be interesting to see how this tool will be useful in future low blood sugar emergencies.

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