Avoidance of Insulin-induced Lipohypertophy in People With Diabetes Using Ultrasound Scanning Within Diabetes Clinics

Diabetes is a common long-term health condition globally. Type 1 diabetes requires insulin treatment right from diagnosis. Similarly, many living with type 2 diabetes eventually require insulin injections as the condition progresses. A common but often underappreciated complication associated with insulin use is the formation of fatty tissue at injection sites, known as "Lipos," a shorthand for "Lipohypertrophy." These Lipos can interfere with insulin absorption, leading to an altered insulin action profile. This results in glucose fluctuations increasing the risk of both high and low glucose levels. In current medical practice, Lipos are assessed through clinical examination, specifically by physically palpating the injection sites. Research indicates that approximately 40% of insulin-treated individuals may have Lipos. However, manual palpation can often overlook these fatty deposits. Ultrasound scanning (USS) presents a more effective method for detecting Lipos. Studies that have employed ultrasound scanning have reported a much higher prevalence, reaching up to 86%. The primary goal of this study is to ascertain whether the avoidance of ultrasound-identified Lipos can improve glucose regulation. The focus will be on individuals using continuous glucose monitoring who exhibit high glucose fluctuations and less time within their target range. By focusing on this population, the chances of identifying those with Lipos will increase. Participants will undergo a clinical examination followed by an ultrasound scan. Those found to have Lipos will receive guidance on avoiding those sites and education on insulin injection techniques. Glucose data will be collected periodically over the next 24 weeks. After this period, participants will return for a follow-up ultrasound scan. Additionally, members of the diabetes care team will be trained to conduct the ultrasound scans. Data from this study may also be utilized to develop artificial intelligence algorithms aimed at identifying Lipos in future ultrasound scans.