Crimmins Sarah D, Ginn-Meadow Angela, Jessel Rebecca H, Rosen Julie A
Department of Obstetrics, Gynecology & Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD.
University of Maryland Center for Diabetes and Endocrinology, University of Maryland Medical Center Midtown Campus, Baltimore, MD.
Clin Diabetes. 2020 Dec;38(5):486-494. doi: 10.2337/cd20-0047.
Pregnant women with diabetes are at higher risk of adverse outcomes. Prevention of such outcomes depends on strict glycemic control, which is difficult to achieve and maintain. A variety of technologies exist to aid in diabetes management for nonpregnant patients. However, adapting such tools to meet the demands of pregnancy presents multiple challenges. This article reviews the key attributes digital technologies must offer to best support diabetes management during pregnancy, as well as some digital tools developed specifically to meet this need. Despite the opportunities digital health tools present to improve the care of people with diabetes, in the absence of robust data and large research studies, the ability to apply such technologies to diabetes in pregnancy will remain imperfect.
患有糖尿病的孕妇出现不良结局的风险更高。预防此类结局取决于严格的血糖控制,而这很难实现和维持。有多种技术可帮助非妊娠患者进行糖尿病管理。然而,使这些工具适应孕期需求存在多重挑战。本文回顾了数字技术为在孕期最佳支持糖尿病管理必须具备的关键特性,以及一些专门为满足这一需求而开发的数字工具。尽管数字健康工具为改善糖尿病患者的护理带来了机遇,但在缺乏可靠数据和大型研究的情况下,将此类技术应用于孕期糖尿病的能力仍存在不足。