Researchers have found that ‘hybrid closed-loop technology’ can better assist pregnant women with type 1 diabetes in managing their blood sugar levels compared to traditional methods. The technology adjusts insulin doses every 10-12 minutes based on real-time blood sugar readings. In a study, it was revealed that women using this system achieved improved blood sugar levels throughout their pregnancy, with fewer complications and reduced antenatal appointments.
Researchers at the University of East Anglia suggest that automated insulinInsulin is a hormone that regulates the level of glucose (sugar) in the blood. It is produced by the pancreas and released into the bloodstream when the level of glucose in the blood rises, such as after a meal. Insulin helps to transport glucose from the bloodstream into the cells, where it can be used for energy or stored for later use. Insulin also helps to regulate the metabolism of fat and protein. In individuals with diabetes, their body doesn't produce enough insulin or doesn't respond properly to insulin, leading to high blood sugar levels, which can lead to serious health problems if left untreated.” data-gt-translate-attributes=”[{“attribute”:”data-cmtooltip”, “format”:”html”}]”>insulin delivery should be adopted for pregnant women with type 1 diabetes. The technology, referred to as ‘hybrid closed-loop technology,’ administers insulin based on a smartphone algorithm.
A recent study indicates that this technology could enable pregnant women to better manage their blood sugars compared to traditional insulin pumps or multiple daily injections.
Insights from the Lead Researcher
Lead researcher Prof Helen Murphy, from UEA’s Norwich Medical School, said: “Despite better systems for monitoring blood sugars and delivering insulin, altered eating behaviours and hormonal changes during pregnancy, mean that most women struggle to reach the recommended blood sugar targets. This means that complications related to having type 1 diabetes during pregnancy are widespread, affecting one in every two newborn babies. For the baby, these include premature birth, need for intensive care after birth, and being too large at birth, which increases the lifelong risk of overweight and obesity. Low blood sugar, excess weight gain, and high blood pressure during pregnancy are common among mothers. We wanted to investigate how automated insulin delivery could help.”
Study Details and Findings
The team trialed a technology known as Hybrid Closed-Loop or Artificial Pancreas. It consists of an algorithm which sits on a smartphone and communicates with the traditional continuous glucose monitoring and insulin pump systems.
The system adjusts insulin doses every 10-12 minutes according to blood sugar levels, meaning that it continuously responds to the persistent changes in blood sugar levels throughout pregnancy.
The team compared this technology with the traditional continuous glucose monitoring and insulin systems, where women supported by specialist diabetes maternity teams, make multiple daily decisions about insulin doses.
The study involved 124 pregnant women with type 1 diabetes aged 18-45 years who managed their condition with daily insulin therapy. Half were randomly allocated to use the Hybrid Closed-Loop technology, and half to use the traditional insulin therapy (insulin pumps or multiple daily injection methods).
The study took place across nine NHS hospitals in England, Scotland, and Northern Ireland, and the women took part for approximately 24 weeks (from 10-12 weeks) until the end of pregnancy. It was supported by the Norwich Clinical Trials Unit and the Jaeb Center for Health Research.
On average, pregnant women used the Hybrid Closed-Loop technology for more than 95 percent of the time.
Prof Murphy said: “We found that the technology helped to substantially reduce maternal blood sugars throughout pregnancy. This technology is game-changing, in that it will allow more women to have safer, healthier, more enjoyable pregnancies, with potential for lifelong benefits for their babies. Compared to traditional insulin therapy methods, women who used the technology spent more time in the target range for pregnancy blood sugar levels – 68 percent vs 56 percent, which is equivalent to an additional two-and-a-half to three hours every day throughout pregnancy.”
“It was safely initiated during the first trimester, which is a crucially important time for babies’ development. The blood sugar levels improved consistently in mothers across all ages, regardless of their previous blood sugar levels or previous insulin therapy. These improvements were achieved without additional low blood glucose events, and without additional insulin,” she added.
The team also found that women using the technology also gained 3.5 kg (equal to 7.7 lbs) less weight and were less likely to have blood pressure complications during pregnancy.
The Broader Impact
Importantly, women using the technology also had fewer antenatal clinic appointments, and fewer out-of-hours calls with maternity clinic teams, suggesting that this technology could also be time-saving for pregnant women and for stretched maternity services.
“For a long time, there has been limited progress in improving blood sugars for women with type 1 diabetes, so we’re really excited that our study offers a new option to help pregnant women manage their diabetes,” said Prof Murphy.
“We know that for women with type 1 diabetes, unborn babies are exquisitely sensitive to small rises in blood sugars, so keeping blood sugar levels within the normal range during pregnancy is crucial to reduce risks for the mother and child. Previous studies have confirmed that every extra hour spent in the blood sugar target range reduces the risks of premature birth, being too large at birth and need for admission to neonatal intensive care unit.”
Study Limitations
The researchers note some limitations, including that the current study was too small for a detailed examination of baby health outcomes, and that their results are specific to the CamAPS technology, so cannot be extrapolated to closed-loop systems, with higher blood sugar targets, that may not be applicable for use during pregnancy.
Reference: “Automated Insulin Delivery in Women with Pregnancy Complicated by Type 1 Diabetes” by Tara T.M. Lee, Corinne Collett, Simon Bergford, Sara Hartnell, Eleanor M. Scott, Robert S. Lindsay, Katharine F. Hunt, David R. McCance, Katharine Barnard-Kelly, David Rankin, Julia Lawton, Rebecca M. Reynolds, Emma Flanagan, Matthew Hammond, Lee Shepstone, Malgorzata E. Wilinska, Judy Sibayan, Craig Kollman, Roy Beck, Roman Hovorka and Helen R. Murphy, 4 October 2023, New England Journal of Medicine.
DOI: 10.1056/NEJMoa2303911
The study was funded by the Efficacy and Mechanism Evaluation (EME) Program, an MRC and NIHR partnership and supported by the Juvenile Diabetes Research Foundation (JDRF), and the Diabetes Research & Wellness Foundation (DRWF).
The views expressed in this publication are those of the authors and not necessarily those of the Medical Research Council (MRC), National Institute for Health and Care Research (NIHR), or the Department of Health and Social Care.
The study was led by UEA in collaboration with researchers from the Norfolk and Norwich University Hospitals NHS Foundation Trust, Cambridge University Hospitals NHS Foundation Trust, the University of Cambridge, the University of Leeds, the University of GlasgowLocated in Glasgow, Scotland, the University of Glasgow is a public research university that was founded in 1451 making it the fourth-oldest university in the English-speaking world. As a research-intensive university, it is a member of the Russell Group, Universitas 21, and the Guild of European Research-Intensive Universities. ” data-gt-translate-attributes=”[{“attribute”:”data-cmtooltip”, “format”:”html”}]”>University of Glasgow, King’s College Hospital NHS Foundation Trust, London, the Royal Victoria Hospital, Belfast, Barnard Health Research, Southampton, the University of Edinburgh and the Jaeb Center for Health Research, Florida.
The research was also presented at the European Association for the Study of Diabetes (EASD) meeting.
Source: SciTechDaily
